,gs_authors,gs_desc,gs_id,gs_num_citations,gs_title,gs_url
0,J Deng|W Dong|R Socher|LJ Li|K Li,"The explosion of image data on the Internet has the potential to foster more sophisticated
and robust models and algorithms to index, retrieve, organize and interact with images and
multimedia data. But exactly how such data can be harnessed and organized remains a …",610894740843277394,9630,Imagenet: A large-scale hierarchical image database,https://www.researchgate.net/profile/Li_Jia_Li/publication/221361415_ImageNet_a_Large-Scale_Hierarchical_Image_Database/links/00b495388120dbc339000000/ImageNet-a-Large-Scale-Hierarchical-Image-Database.pdf
1,O Russakovsky|J Deng|H Su|J Krause,"Abstract The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object
category classification and detection on hundreds of object categories and millions of
images. The challenge has been run annually from 2010 to present, attracting participation …",18051189604458238351,8883,Imagenet large scale visual recognition challenge,https://arxiv.org/pdf/1409.0575
2,R Szeliski,"Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a
computer interpret an image at the same level as a two-year old remains elusive. Why is …",16605107453260999726,3991,[BOOK] Computer vision: algorithms and applications,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.414.9846&rep=rep1&type=pdf
3,V Nair|GE Hinton,"Restricted Boltzmann machines were developed using binary stochastic hidden units. These
can be generalized by replacing each binary unit by an infinite number of copies that all
have the same weights but have progressively more negative biases. The learning and …",17288407099485885988,5072,[PDF] Rectified linear units improve restricted boltzmann machines,https://www.cs.toronto.edu/~hinton/absps/reluICML.pdf
4,TY Lin|M Maire|S Belongie|J Hays|P Perona,"We present a new dataset with the goal of advancing the state-of-the-art in object
recognition by placing the question of object recognition in the context of the broader
question of scene understanding. This is achieved by gathering images of complex …",2812162232451729772,4058,Microsoft coco: Common objects in context,https://arxiv.org/pdf/1405.0312
5,Y Taigman|M Yang|MA Ranzato,"In modern face recognition, the conventional pipeline consists of four stages: detect=>
align=> represent=> classify. We revisit both the alignment step and the representation step
by employing explicit 3D face modeling in order to apply a piecewise affine transformation …",11698767426478135999,2980,Deepface: Closing the gap to human-level performance in face verification,https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf
6,F Schroff|D Kalenichenko|J Philbin,"Despite significant recent advances in the field of face recognition [DeepFace, DeepId2],
implementing face verification and recognition efficiently at scale presents serious
challenges to current approaches. In this paper we present a system, called FaceNet, that …",11100188708037387301,2508,Facenet: A unified embedding for face recognition and clustering,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Schroff_FaceNet_A_Unified_2015_CVPR_paper.pdf
7,QV Le,"We consider the problem of building high-level, class-specific feature detectors from only
unlabeled data. For example, is it possible to learn a face detector using only unlabeled
images? To answer this, we train a deep sparse autoencoder on a large dataset of images …",13804624732817572151,1812,Building high-level features using large scale unsupervised learning,https://arxiv.org/pdf/1112.6209.pdf&amp
8,N Kumar|AC Berg|PN Belhumeur,"We present two novel methods for face verification. Our first method-“attribute” classifiers-
uses binary classifiers trained to recognize the presence or absence of describable aspects
of visual appearance (eg, gender, race, and age). Our second method-“simile” classifiers …",4063408445858122425,1275,Attribute and simile classifiers for face verification,https://neerajkumar.org/projects/facesearch/base/software/base/publications/base/papers/nk_iccv2009_attrs.pdf
9,OM Parkhi|A Vedaldi|A Zisserman,"The goal of this paper is face recognition–from either a single photograph or from a set of
faces tracked in a video. Recent progress in this area has been due to two factors:(i) end to
end learning for the task using a convolutional neural network (CNN), and (ii) the availability …",15533756157563692245,1735,[PDF] Deep face recognition.,http://cis.csuohio.edu/~sschung/CIS660/DeepFaceRecognition_parkhi15.pdf
10,M Koestinger|M Hirzer|P Wohlhart,"In this paper, we raise important issues on scalability and the required degree of supervision
of existing Mahalanobis metric learning methods. Often rather tedious optimization
procedures are applied that become computationally intractable on a large scale. Further, if …",1557288033444575499,1094,Large scale metric learning from equivalence constraints,https://www.researchgate.net/profile/Horst_Bischof/publication/236593328_Large_Scale_Metric_Learning_from_Equivalence_Constraints/links/0deec52d94b4ee62fd000000.pdf
11,Y Sun|X Wang|X Tang,"This paper proposes to learn a set of high-level feature representations through deep
learning, referred to as Deep hidden IDentity features (DeepID), for face verification. We
argue that DeepID can be effectively learned through challenging multi-class face …",17555805949905028113,1058,"Deep learning face representation from predicting 10,000 classes",https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sun_Deep_Learning_Face_2014_CVPR_paper.pdf
12,Y Peng|A Ganesh|J Wright,"This paper studies the problem of simultaneously aligning a batch of linearly correlated
images despite gross corruption (such as occlusion). Our method seeks an optimal set of
image domain transformations such that the matrix of transformed images can be …",14858007950677302589,871,RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.231.3441&rep=rep1&type=pdf
13,J Wright|A Ganesh|Z Zhou,"Many classic and contemporary face recognition algorithms work well on public data sets,
but degrade sharply when they are used in a real recognition system. This is mostly due to
the difficulty of simultaneously handling variations in illumination, image misalignment, and …",5541786026171433741,834,Toward a practical face recognition system: Robust alignment and illumination by sparse representation,http://yima.csl.illinois.edu/psfile/PAMI-facesystem.pdf
14,Y Sun|X Wang|X Tang,"The key challenge of face recognition is to develop effective feature representations for
reducing intra-personal variations while enlarging inter-personal differences. In this paper,
we show that it can be well solved with deep learning and using both face identification and …",2652536617023372962,1037,Deep learning face representation by joint identification-verification,https://papers.nips.cc/paper/5416-deep-learning-face-representation-by-joint-identification-verification.pdf
15,X Cao|Y Wei|J Sun,"We present a very efficient, highly accurate,“Explicit Shape Regression” approach for face
alignment. Unlike previous regression-based approaches, we directly learn a vectorial
regression function to infer the whole facial shape (a set of facial landmarks) from the image …",6489491124729825725,865,Face alignment by explicit shape regression,https://www.microsoft.com/en-us/research/wp-content/uploads/2013/01/Face-Alignment-by-Explicit-Shape-Regression.pdf
16,JM Saragih|S Lucey|JF Cohn,"Deformable model fitting has been actively pursued in the computer vision community for
over a decade. As a result, numerous approaches have been proposed with varying
degrees of success. A class of approaches that has shown substantial promise is one that …",5491457191184796951,789,Deformable model fitting by regularized landmark mean-shift,https://www.researchgate.net/profile/Jeffrey_Cohn/publication/220660258_Deformable_Model_Fitting_by_Regularized_Landmark_Mean-Shift/links/09e4151226a77cd926000000.pdf
17,PN Belhumeur|DW Jacobs,"We present a novel approach to localizing parts in images of human faces. The approach
combines the output of local detectors with a nonparametric set of global models for the part
locations based on over 1,000 hand-labeled exemplar images. By assuming that the global …",8801930631236620204,778,Localizing parts of faces using a consensus of exemplars,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.227.8441&rep=rep1&type=pdf
18,M Guillaumin|J Verbeek|C Schmid,"Face identification is the problem of determining whether two face images depict the same
person or not. This is difficult due to variations in scale, pose, lighting, background,
expression, hairstyle, and glasses. In this paper we present two methods for learning robust …",14732636967808305380,766,Is that you? Metric learning approaches for face identification,https://hal.inria.fr/docs/00/43/92/90/PDF/GVS09.pdf
19,Y Sun|X Wang|X Tang,"We propose a new approach for estimation of the positions of facial keypoints with three-
level carefully designed convolutional networks. At each level, the outputs of multiple
networks are fused for robust and accurate estimation. Thanks to the deep structures of …",17631018765198910993,817,Deep convolutional network cascade for facial point detection,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Sun_Deep_Convolutional_Network_2013_CVPR_paper.pdf
20,Z Liu|P Luo|X Wang|X Tang,"Predicting face attributes in the wild is challenging due to complex face variations. We
propose a novel deep learning framework for attribute prediction in the wild. It cascades two
CNNs, LNet and ANet, which are fine-tuned jointly with attribute tags, but pre-trained …",9137261784815578205,1082,Deep learning face attributes in the wild,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Liu_Deep_Learning_Face_ICCV_2015_paper.pdf
21,L Wolf|T Hassner,"Recognizing faces in unconstrained videos is a task of mounting importance. While
obviously related to face recognition in still images, it has its own unique characteristics and
algorithmic requirements. Over the years several methods have been suggested for this …",5401801956686441353,703,Face recognition in unconstrained videos with matched background similarity,https://www.cs.tau.ac.il/~wolf/papers/lvfw.pdf
22,A Sorokin|D Forsyth,"We show how to outsource data annotation to Amazon Mechanical Turk. Doing so has
produced annotations in quite large numbers relatively cheaply. The quality is good, and
can be checked and controlled. Annotations are produced quickly. We describe results for …",3271403059955811571,574,Utility data annotation with amazon mechanical turk,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.460.5208&rep=rep1&type=pdf
23,D Yi|Z Lei|S Liao|SZ Li,"Pushing by big data and deep convolutional neural network (CNN), the performance of face
recognition is becoming comparable to human. Using private large scale training datasets,
several groups achieve very high performance on LFW, ie, 97% to 99%. While there are …",11924621609558481268,611,Learning face representation from scratch,https://arxiv.org/pdf/1411.7923
24,A Mignon|F Jurie,"This paper introduces Pairwise Constrained Component Analysis (PCCA), a new algorithm
for learning distance metrics from sparse pairwise similarity/dissimilarity constraints in high
dimensional input space, problem for which most existing distance metric learning …",7428175391515510276,521,Pcca: A new approach for distance learning from sparse pairwise constraints,https://hal.archives-ouvertes.fr/hal-00806007/file/12_cvpr_ldca.pdf
25,Z Cao|X Tang|J Sun,"We present a novel approach to address the representation issue and the matching issue in
face recognition (verification). Firstly, our approach encodes the micro-structures of the face
by a new learning-based encoding method. Unlike many previous manually designed …",183298693815736339,472,Face recognition with learning-based descriptor,http://mmlab.ie.cuhk.edu.hk/archive/2010/cvpr10_face.pdf
26,A Coates|T Wang|D Wu|B Catanzaro,"Scaling up deep learning algorithms has been shown to lead to increased performance in
benchmark tasks and to enable discovery of complex high-level features. Recent efforts to
train extremely large networks (with over 1 billion parameters) have relied on cloudlike …",13800828167861315786,487,[PDF] Deep learning with COTS HPC systems,http://www.jmlr.org/proceedings/papers/v28/coates13.pdf
27,TH Chan|K Jia|S Gao|J Lu|Z Zeng,"In this paper, we propose a very simple deep learning network for image classification that is
based on very basic data processing components: 1) cascaded principal component
analysis (PCA); 2) binary hashing; and 3) blockwise histograms. In the proposed …",8397328767752099453,558,PCANet: A simple deep learning baseline for image classification?,https://arxiv.org/pdf/1404.3606
28,N Kumar|A Berg|PN Belhumeur,"We introduce the use of describable visual attributes for face verification and image search.
Describable visual attributes are labels that can be given to an image to describe its
appearance. This paper focuses on images of faces and the attributes used to describe …",17304896175456890238,423,Describable visual attributes for face verification and image search,http://neerajkumar.org/projects/facesearch/
29,Y Sun|X Wang|X Tang,"This paper designs a high-performance deep convolutional network (DeepID2+) for face
recognition. It is learned with the identification-verification supervisory signal. By increasing
the dimension of hidden representations and adding supervision to early convolutional …",14660449735839776202,493,"Deeply learned face representations are sparse, selective, and robust",https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Sun_Deeply_Learned_Face_2015_CVPR_paper.pdf
30,M Dantone|J Gall,"Although facial feature detection from 2D images is a well-studied field, there is a lack of real-
time methods that estimate feature points even on low quality images. Here we propose
conditional regression forest for this task. While regression forest learn the relations between …",1743237031465720755,395,Real-time facial feature detection using conditional regression forests,http://files.is.tue.mpg.de/jgall/download/jgall_facialfeatures_cvpr12.pdf
31,M Koestinger|P Wohlhart|PM Roth,"Face alignment is a crucial step in face recognition tasks. Especially, using landmark
localization for geometric face normalization has shown to be very effective, clearly
improving the recognition results. However, no adequate databases exist that provide a …",2106290919498044015,443,"Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization",https://www.computer.org/csdl/proceedings/iccvw/2011/0063/00/06130513.pdf
32,K Simonyan|OM Parkhi|A Vedaldi|A Zisserman,"Several recent papers on automatic face verification have significantly raised the
performance bar by developing novel, specialised representations that outperform standard
features such as SIFT for this problem. This paper makes two contributions: first, and …",16095169408445899807,400,[PDF] Fisher Vector Faces in the Wild.,https://www.robots.ox.ac.uk/~vgg/publications/2013/Simonyan13/extras/simonyan13_ext.pdf
33,JM Saragih|S Lucey|JF Cohn,"Deformable model fitting has been actively pursued in the computer vision community for
over a decade. As a result, numerous approaches have been proposed with varying
degrees of success. A class of approaches that has shown substantial promise is one that …",10745519298838481311,368,Face alignment through subspace constrained mean-shifts,https://www.researchgate.net/profile/Jeffrey_Cohn/publication/221111184_Face_Alignment_through_Subspace_Constrained_Mean-Shifts/links/02e7e525c3cf69e6b6000000.pdf
34,G Levi|T Hassner,"Automatic age and gender classification has become relevant to an increasing amount of
applications, particularly since the rise of social platforms and social media. Nevertheless,
performance of existing methods on real-world images is still significantly lacking, especially …",105249660032728298,470,Age and gender classification using convolutional neural networks,https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W08/papers/Levi_Age_and_Gender_2015_CVPR_paper.pdf
35,,"Face verification is the task of deciding by analyzing face images, whether a person is who
he/she claims to be. This is very challenging due to image variations in lighting, pose, facial
expression, and age. The task boils down to computing the distance between two face …",15059806747920626653,387,Cosine similarity metric learning for face verification,https://www.researchgate.net/profile/Li_Bai/publication/220745463_Cosine_Similarity_Metric_Learning_for_Face_Verification/links/54dcd4880cf25b09b912d2ed.pdf
36,Z Li|S Chang|TS Huang|L Cao,"This paper considers the person verification problem in modern surveillance and video
retrieval systems. The problem is to identify whether a pair of face or human body images is
about the same person, even if the person is not seen before. Traditional methods usually …",11793354387702984010,409,Learning locally-adaptive decision functions for person verification,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_Locally-Adaptive_Decision_2013_CVPR_paper.pdf
37,J Wan|D Wang|SCH Hoi|J Zhu,"Learning effective feature representations and similarity measures are crucial to the retrieval
performance of a content-based image retrieval (CBIR) system. Despite extensive research
efforts for decades, it remains one of the most challenging open problems that considerably …",6185113731518800763,445,Deep learning for content-based image retrieval: A comprehensive study,https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3320&context=sis_research
38,Y Wen|K Zhang|Y Qiao,"Convolutional neural networks (CNNs) have been widely used in computer vision
community, significantly improving the state-of-the-art. In most of the available CNNs, the
softmax loss function is used as the supervision signal to train the deep model. In order to …",14117165099429532618,602,A discriminative feature learning approach for deep face recognition,https://kpzhang93.github.io/papers/eccv2016.pdf
39,J Hu|J Lu|YP Tan,"This paper presents a new discriminative deep metric learning (DDML) method for face
verification in the wild. Different from existing metric learning-based face verification
methods which aim to learn a Mahalanobis distance metric to maximize the inter-class …",2945321669966143066,407,Discriminative deep metric learning for face verification in the wild,https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Hu_Discriminative_Deep_Metric_2014_CVPR_paper.pdf
40,R Krishna|Y Zhu|O Groth|J Johnson|K Hata,"Despite progress in perceptual tasks such as image classification, computers still perform
poorly on cognitive tasks such as image description and question answering. Cognition is
core to tasks that involve not just recognizing, but reasoning about our visual world …",12954392892899444253,503,[HTML] Visual genome: Connecting language and vision using crowdsourced dense image annotations,https://link.springer.com/article/10.1007/S11263-016-0981-7
41,K Wang|S Belongie,"We present a method for spotting words in the wild, ie, in real images taken in unconstrained
environments. Text found in the wild has a surprising range of difficulty. At one end of the
spectrum, Optical Character Recognition (OCR) applied to scanned pages of well formatted …",9200622899145384389,359,Word spotting in the wild,https://cloudfront.escholarship.org/dist/prd/content/qt4b8281qq/qt4b8281qq.pdf
42,D Chen|X Cao|L Wang|J Sun,"In this paper, we revisit the classical Bayesian face recognition method by Baback
Moghaddam et al. and propose a new joint formulation. The classical Bayesian method
models the appearance difference between two faces. We observe that this “difference” …",8592793674524571913,356,Bayesian face revisited: A joint formulation,http://www.academia.edu/download/31414608/JointBayesian.pdf
43,N Kumar|P Belhumeur|S Nayar,"We have created the first image search engine based entirely on faces. Using simple text
queries such as “smiling men with blond hair and mustaches,” users can search through
over 3.1 million faces which have been automatically labeled on the basis of several facial …",10337130688446550899,336,Facetracer: A search engine for large collections of images with faces,https://pdfs.semanticscholar.org/73a8/1d311eedac8dea3ca24dc15b6990fa4a725e.pdf
44,B Siddiquie|RS Feris|LS Davis,"We propose a novel approach for ranking and retrieval of images based on multi-attribute
queries. Existing image retrieval methods train separate classifiers for each word and
heuristically combine their outputs for retrieving multiword queries. Moreover, these …",2735890377384236714,327,Image ranking and retrieval based on multi-attribute queries,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.459.6532&rep=rep1&type=pdf
45,C Shan,"Gender recognition is one of fundamental face analysis tasks. Most of the existing studies
have focused on face images acquired under controlled conditions. However, real-world
applications require gender classification on real-life faces, which is much more challenging …",17435551685582529316,333,Learning local binary patterns for gender classification on real-world face images,https://repository.tudelft.nl/assets/uuid:678436fb-d859-4c4a-8842-f1b4bb5a0fe3/MS-32.590.pdf
46,L Bourdev|S Maji|J Malik,"We propose a method for recognizing attributes, such as the gender, hair style and types of
clothes of people under large variation in viewpoint, pose, articulation and occlusion typical
of personal photo album images. Robust attribute classifiers under such conditions must be …",9297221796685690730,324,Describing people: A poselet-based approach to attribute classification,https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/poselets/attributes-poselets-iccv11.pdf
47,Y Sun|D Liang|X Wang|X Tang,"The state-of-the-art of face recognition has been significantly advanced by the emergence of
deep learning. Very deep neural networks recently achieved great success on general
object recognition because of their superb learning capacity. This motivates us to investigate …",12086306931946783096,393,Deepid3: Face recognition with very deep neural networks,https://arxiv.org/pdf/1502.00873
48,L Wolf|T Hassner|Y Taigman,"Evaluating the similarity of images and their descriptors by employing discriminative
learners has proven itself to be an effective face recognition paradigm. In this paper we
show how “background samples”, that is, examples which do not belong to any of the …",8983731704722471507,311,Similarity scores based on background samples,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.587.1207&rep=rep1&type=pdf
49,GB Huang|H Lee,"Most modern face recognition systems rely on a feature representation given by a hand-
crafted image descriptor, such as Local Binary Patterns (LBP), and achieve improved
performance by combining several such representations. In this paper, we propose deep …",14256739331062461225,324,Learning hierarchical representations for face verification with convolutional deep belief networks,http://vis-www.cs.umass.edu/papers/HuangCVPR12.pdf
50,L Wolf|T Hassner|Y Taigman,"Computer vision systems have demonstrated considerable improvement in recognizing and
verifying faces in digital images. Still, recognizing faces appearing in unconstrained, natural
conditions remains a challenging task. In this paper, we present a face-image, pair-matching …",18043091129850050942,302,Effective unconstrained face recognition by combining multiple descriptors and learned background statistics,
51,R Ranjan|VM Patel|R Chellappa,"We present an algorithm for simultaneous face detection, landmarks localization, pose
estimation and gender recognition using deep convolutional neural networks (CNN). The
proposed method called, HyperFace, fuses the intermediate layers of a deep CNN using a …",8494434349347836067,265,"Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition",https://arxiv.org/pdf/1603.01249
52,ABL Larsen|SK Sønderby|H Larochelle,"We present an autoencoder that leverages learned representations to better measure
similarities in data space. By combining a variational autoencoder with a generative
adversarial network we can use learned feature representations in the GAN discriminator as …",12417620106993504772,470,Autoencoding beyond pixels using a learned similarity metric,https://arxiv.org/pdf/1512.09300
53,Z Zhang|Y Xu|J Yang|X Li|D Zhang,"Sparse representation has attracted much attention from researchers in fields of signal
processing, image processing, computer vision, and pattern recognition. Sparse
representation also has a good reputation in both theoretical research and practical …",3591618019722497959,367,A survey of sparse representation: algorithms and applications,https://ieeexplore.ieee.org/iel7/6287639/7042252/07102696.pdf
54,T Berg|P Belhumeur,"From a set of images in a particular domain, labeled with part locations and class, we
present a method to automatically learn a large and diverse set of highly discriminative
intermediate features that we call Part-based One-vs-One Features (POOFs). Each of these …",17651778712296478213,283,"[PDF] Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation",https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Berg_POOF_Part-Based_One-vs.-One_2013_CVPR_paper.pdf
55,AR Rivera|JR Castillo|OO Chae,"This paper proposes a novel local feature descriptor, local directional number pattern (LDN),
for face analysis, ie, face and expression recognition. LDN encodes the directional
information of the face's textures (ie, the texture's structure) in a compact way, producing a …",1298214038036573582,297,Local directional number pattern for face analysis: Face and expression recognition,http://www.redpel.com/Local%20Directional%20Number%20Pattern%20for%20Face%20Analysis%20Face%20and%20Expression%20Recognition.pdf
56,T Hassner|S Harel|E Paz,"Abstract"" Frontalization"" is the process of synthesizing frontal facing views of faces
appearing in single unconstrained photos. Recent reports have suggested that this process
may substantially boost the performance of face recognition systems. This, by transforming …",7708865079910174306,306,Effective face frontalization in unconstrained images,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hassner_Effective_Face_Frontalization_2015_CVPR_paper.pdf
57,J Lu|X Zhou|YP Tan,"Kinship verification from facial images is an interesting and challenging problem in computer
vision, and there are very limited attempts on tackle this problem in the literature. In this
paper, we propose a new neighborhood repulsed metric learning (NRML) method for …",16928872952487479287,272,Neighborhood repulsed metric learning for kinship verification,http://www.kinfacew.com/papers/NRML_CVPR12.pdf
58,BF Klare,"Rapid progress in unconstrained face recognition has resulted in a saturation in recognition
accuracy for current benchmark datasets. While important for early progress, a chief
limitation in most benchmark datasets is the use of a commodity face detector to select face …",15334634735975840716,299,Pushing the frontiers of unconstrained face detection and recognition: Iarpa janus benchmark a,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Klare_Pushing_the_Frontiers_2015_CVPR_paper.pdf
59,VM Patel|R Gopalan,"In pattern recognition and computer vision, one is often faced with scenarios where the
training data used to learn a model have different distribution from the data on which the
model is applied. Regardless of the cause, any distributional change that occurs after …",1673759608844942860,301,Visual domain adaptation: A survey of recent advances,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.445.2867&rep=rep1&type=pdf
60,Y Ying|P Li,"The main theme of this paper is to develop a novel eigenvalue optimization framework for
learning a Mahalanobis metric. Within this context, we introduce a novel metric learning
approach called DML-eig which is shown to be equivalent to a well-known eigenvalue …",819135347878648941,248,Distance metric learning with eigenvalue optimization,http://www.jmlr.org/papers/volume13/ying12a/ying12a.pdf
61,S Liao|AK Jain|SZ Li,"Numerous methods have been developed for holistic face recognition with impressive
performance. However, few studies have tackled how to recognize an arbitrary patch of a
face image. Partial faces frequently appear in unconstrained scenarios, with images …",1214206201724761953,245,Partial face recognition: Alignment-free approach,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.714.6734&rep=rep1&type=pdf
62,B Ma|Y Su|F Jurie,"This paper proposes a novel image representation which can properly handle both
background and illumination variations. It is therefore adapted to the person/face
reidentification tasks, avoiding the use of any additional pre-processing steps such as …",13685961707270251095,246,Bicov: a novel image representation for person re-identification and face verification,https://hal.archives-ouvertes.fr/hal-00806112/file/12_bmvc-person-reid.pdf
63,N Pinto|JJ DiCarlo|DD Cox,"In recent years, large databases of natural images have become increasingly popular in the
evaluation of face and object recognition algorithms. However, Pinto et al. previously
illustrated an inherent danger in using such sets, showing that an extremely basic …",15600169663743233851,226,How far can you get with a modern face recognition test set using only simple features?,https://dspace.mit.edu/openaccess-disseminate/1721.1/59976
64,T Hassner,"This paper concerns the estimation of facial attributes-namely, age and gender-from images
of faces acquired in challenging, in the wild conditions. This problem has received far less
attention than the related problem of face recognition, and in particular, has not enjoyed the …",3057753125794572712,281,Age and gender estimation of unfiltered faces,https://www.openu.ac.il/home/hassner/Adience/EidingerEnbarHassner_tifs.pdf
65,J Bergstra|DD Cox,"Many computer vision algorithms depend on configuration settings that are typically hand-
tuned in the course of evaluating the algorithm for a particular data set. While such
parameter tuning is often presented as being incidental to the algorithm, correctly setting …",10987276144712583456,302,[PDF] Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures,http://www.jmlr.org/proceedings/papers/v28/bergstra13.pdf
66,Y Sun|X Wang|X Tang,"This paper proposes a hybrid convolutional network (ConvNet)-Restricted Boltzmann
Machine (RBM) model for face verification in wild conditions. A key contribution of this work
is to directly learn relational visual features, which indicate identity similarities, from raw …",9064221174325606818,249,Hybrid deep learning for face verification,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Sun_Hybrid_Deep_Learning_2013_ICCV_paper.pdf
67,Z Lei|M Pietikäinen|SZ Li,"Local feature descriptor is an important module for face recognition and those like Gabor
and local binary patterns (LBP) have proven effective face descriptors. Traditionally, the form
of such local descriptors is predefined in a handcrafted way. In this paper, we propose a …",14559330059928877290,232,Learning discriminant face descriptor,
68,N Pinto|D Doukhan|JJ DiCarlo,"While many models of biological object recognition share a common set of “broad-stroke”
properties, the performance of any one model depends strongly on the choice of parameters
in a particular instantiation of that model—eg, the number of units per layer, the size of …",17769708116539239591,223,[HTML] A high-throughput screening approach to discovering good forms of biologically inspired visual representation,http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000579
69,C Sanderson|BC Lovell,"We propose a scalable face matching algorithm capable of dealing with faces subject to
several concurrent and uncontrolled factors, such as variations in pose, expression,
illumination, resolution, as well as scale and misalignment problems. Each face is described …",17549873328567253836,217,Multi-region probabilistic histograms for robust and scalable identity inference,http://ccc.inaoep.mx/~mdprl/documentos/1201.2207v1.pdf
70,S Branson|G Van Horn|S Belongie,"We propose an architecture for fine-grained visual categorization that approaches expert
human performance in the classification of bird species. Our architecture first computes an
estimate of the object's pose; this is used to compute local image features which are, in turn …",7853676618437471348,242,Bird species categorization using pose normalized deep convolutional nets,https://arxiv.org/pdf/1406.2952
71,Y Gurovich|T Hassner,"Action Recognition in videos is an active research field that is fueled by an acute need,
spanning several application domains. Still, existing systems fall short of the applications'
needs in real-world scenarios, where the quality of the video is less than optimal and the …",8656563845886866236,199,Motion interchange patterns for action recognition in unconstrained videos,https://www.openu.ac.il/home/hassner/projects/MIP/MIP_eccv12.pdf
72,L Yang|P Luo|C Change Loy,"This paper aims to highlight vision related tasks centered around"" car"", which has been
largely neglected by vision community in comparison to other objects. We show that there
are still many interesting car-related problems and applications, which are not yet well …",15493017649905778902,265,A large-scale car dataset for fine-grained categorization and verification,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yang_A_Large-Scale_Car_2015_CVPR_paper.pdf
73,S Yang|P Luo|CC Loy|X Tang,"In this paper, we propose a novel deep convolutional network (DCN) that achieves
outstanding performance on FDDB, PASCAL Face, and AFW. Specifically, our method
achieves a high recall rate of 90.99% on the challenging FDDB benchmark, outperforming …",1818335115841631894,257,From facial parts responses to face detection: A deep learning approach,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yang_From_Facial_Parts_ICCV_2015_paper.pdf
74,L Leal-Taixé|A Milan|I Reid|S Roth,"In the recent past, the computer vision community has developed centralized benchmarks
for the performance evaluation of a variety of tasks, including generic object and pedestrian
detection, 3D reconstruction, optical flow, single-object short-term tracking, and stereo …",12108223656933987805,262,Motchallenge 2015: Towards a benchmark for multi-target tracking,https://arxiv.org/pdf/1504.01942
75,D Cox|N Pinto,"Many modern computer vision algorithms are built atop of a set of low-level feature
operators (such as SIFT [1],[2]; HOG [3],[4]; or LBP [5],[6]) that transform raw pixel values into
a representation better suited to subsequent processing and classification. While the choice …",3043405991756296652,198,Beyond simple features: A large-scale feature search approach to unconstrained face recognition,https://www.cse.iitk.ac.in/users/cs365/2014/_papers/cox-pinto-11_beyond-simple-features-face-recog.pdf
76,S Prince|P Li|Y Fu,"Many face recognition algorithms use “distance-based” methods: Feature vectors are
extracted from each face and distances in feature space are compared to determine
matches. In this paper, we argue for a fundamentally different approach. We consider each …",5993388879714422098,200,Probabilistic models for inference about identity,https://pdfs.semanticscholar.org/64cf/1cda80a23ed6fc1c8e66065614ef7bdeadf3.pdf
77,DA Vaquero|RS Feris|D Tran|L Brown,"We propose a novel framework for searching for people in surveillance environments.
Rather than relying on face recognition technology, which is known to be sensitive to typical
surveillance conditions such as lighting changes, face pose variation, and low-resolution …",3082057235887956251,193,Attribute-based people search in surveillance environments,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.180.7630&rep=rep1&type=pdf
78,H Li|G Hua|Z Lin|J Brandt|J Yang,"Pose variation remains to be a major challenge for realworld face recognition. We approach
this problem through a probabilistic elastic matching method. We take a part based
representation by extracting local features (eg, LBP or SIFT) from densely sampled multi …",8816000059557979107,185,Probabilistic elastic matching for pose variant face verification,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Probabilistic_Elastic_Matching_2013_CVPR_paper.pdf
79,Y Taigman|L Wolf|T Hassner,"Abstract The One-Shot Similarity measure has recently been introduced as a means of
boosting the performance of face recognition systems. Given two vectors, their One-Shot
Similarity score reflects the likelihood of each vector belonging to the same class as the …",17967477553660543956,179,[PDF] Multiple One-Shots for Utilizing Class Label Information.,http://courses.cs.tau.ac.il/~wolf/papers/TWH_BMVC09_Multishot.pdf
80,W Li|D Xu|S Shan|X Chen,"In many real-world face recognition scenarios, face images can hardly be aligned accurately
due to complex appearance variations or low-quality images. To address this issue, we
propose a new approach to extract robust face region descriptors. Specifically, we divide …",17997524288848533818,179,Fusing robust face region descriptors via multiple metric learning for face recognition in the wild,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Cui_Fusing_Robust_Face_2013_CVPR_paper.pdf
81,X Zhu|Z Lei|J Yan|D Yi|SZ Li,"Pose and expression normalization is a crucial step to recover the canonical view of faces
under arbitrary conditions, so as to improve the face recognition performance. An ideal
normalization method is desired to be automatic, database independent and high-fidelity …",2675418680384799571,214,High-fidelity pose and expression normalization for face recognition in the wild,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhu_High-Fidelity_Pose_and_2015_CVPR_paper.pdf
82,A Dhall|R Goecke|S Lucey|T Gedeon,"Collecting richly annotated, large datasets representing real-world conditions is a challenging
task. With the progress in computer vision research, researchers have developed robust human
facial-expression analysis solutions, but largely only for tightly controlled environments. Facial …",2820977520006956133,206,"Collecting large, richly annotated facial-expression databases from movies",
83,C Cao|K Zhou,"We present a fully automatic approach to real-time facial tracking and animation with a
single video camera. Our approach does not need any calibration for each individual user. It
learns a generic regressor from public image datasets, which can be applied to any user …",14150109362192937863,202,Displaced dynamic expression regression for real-time facial tracking and animation,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.674.3671&rep=rep1&type=pdf
84,NS Vu,"A good feature descriptor is desired to be discriminative, robust, and computationally
inexpensive in both terms of time and storage requirement. In the domain of face
recognition, these properties allow the system to quickly deliver high recognition results to …",1510585668068568648,176,Enhanced patterns of oriented edge magnitudes for face recognition and image matching,
85,C Lu|X Tang,"Face verification remains a challenging problem in very complex conditions with large
variations such as pose, illumination, expression, and occlusions. This problem is
exacerbated when we rely unrealistically on a single training data source, which is often …",11575983753307386058,189,[PDF] Surpassing Human-Level Face Verification Performance on LFW with GaussianFace.,http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/download/9845/9816
86,B Amos,"Cameras are becoming ubiquitous in the Internet of Things (IoT) and can use face
recognition technology to improve context. There is a large accuracy gap between today's
publicly available face recognition systems and the state-of-the-art private face recognition …",15824311167660397835,288,[PDF] Openface: A general-purpose face recognition library with mobile applications,http://reports-archive.adm.cs.cmu.edu/anon/anon/usr0/ftp/2016/CMU-CS-16-118.pdf
87,T Cour|B Sapp|C Jordan,"In many image and video collections, we have access only to partially labeled data. For
example, personal photo collections often contain several faces per image and a caption
that only specifies who is in the picture, but not which name matches which face. Similarly …",5125731380784649321,166,Learning from ambiguously labeled images,https://repository.upenn.edu/cgi/viewcontent.cgi?article=1948&context=cis_reports
88,CH Chan|MA Tahir|J Kittler,"Face recognition subject to uncontrolled illumination and blur is challenging. Interestingly,
image degradation caused by blurring, often present in real-world imagery, has mostly been
overlooked by the face recognition community. Such degradation corrupts face information …",4098952843880780383,168,Multiscale local phase quantization for robust component-based face recognition using kernel fusion of multiple descriptors,
89,D Yi|Z Lei|SZ Li,"Most existing pose robust methods are too computational complex to meet practical
applications and their performance under unconstrained environments are rarely evaluated.
In this paper, we propose a novel method for pose robust face recognition towards practical …",12580034443764300065,174,Towards pose robust face recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Yi_Towards_Pose_Robust_2013_CVPR_paper.pdf
90,S Zafeiriou|C Zhang|Z Zhang,"Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless
applications that require the application of face detection as a first step. During the past 15 …",8427517852023469465,207,"A survey on face detection in the wild: past, present and future",http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.702.833&rep=rep1&type=pdf
91,JT Springenberg,"In this paper we present a method for learning a discriminative classifier from unlabeled or
partially labeled data. Our approach is based on an objective function that trades-off mutual
information between observed examples and their predicted categorical class distribution …",3077106609105382524,250,Unsupervised and semi-supervised learning with categorical generative adversarial networks,https://arxiv.org/pdf/1511.06390
92,L Liang|R Xiao|J Sun,"In this paper, we propose a component-based discriminative approach for face alignment
without requiring initialization. Unlike many approaches which locally optimize in a small
range, our approach searches the face shape in a large range at the component level by a …",6280822730775715655,164,Face alignment via component-based discriminative search,https://pdfs.semanticscholar.org/5897/0f1f51432a094faaeb3f4f70aa1778d61a42.pdf
93,Q Ke|J Sun,"State-of-the-art image retrieval systems achieve scalability by using a bag-of-words
representation and textual retrieval methods, but their performance degrades quickly in the
face image domain, mainly because they produce visual words with low discriminative …",2207610357975412933,155,Scalable face image retrieval with identity-based quantization and multireference reranking,https://www.microsoft.com/en-us/research/wp-content/uploads/2010/06/cvpr2010.pdf
94,KS Narayan|T Achim,"The state of the art in computer vision has rapidly advanced over the past decade largely
aided by shared image datasets. However, most of these datasets tend to consist of assorted
collections of images from the web that do not include 3D information or pose information …",6478452945760612848,180,Bigbird: A large-scale 3d database of object instances,https://jamessha.com/media/2014-ICRA-BigBIRD.pdf
95,J Lu|VE Liong|X Zhou,"Binary feature descriptors such as local binary patterns (LBP) and its variations have been
widely used in many face recognition systems due to their excellent robustness and strong
discriminative power. However, most existing binary face descriptors are hand-crafted …",9496781539556150844,198,Learning compact binary face descriptor for face recognition,
96,M Uřičář|V Franc|V Hlaváč,"Joint statistical model of appearance and shape.+ Provides dense set of facial features.+
Allows to extract whole contours of facial features (eyes, mouth, etc.).–Requires high
dimensional images for both training and testing stage.–Detection leads to non-convex …",11644525706282829979,162,[PDF] Detector of facial landmarks learned by the structured output SVM,http://cmp.felk.cvut.cz/~uricamic/flandmark/doc/flandmark_cmptalk.pdf
97,C Ding|J Choi|D Tao|LS Davis,"To perform unconstrained face recognition robust to variations in illumination, pose and
expression, this paper presents a new scheme to extract “Multi-Directional Multi-Level Dual-
Cross Patterns”(MDML-DCPs) from face images. Specifically, the MDML-DCPs scheme …",8264448342080249099,192,Multi-directional multi-level dual-cross patterns for robust face recognition,https://arxiv.org/pdf/1401.5311
98,X Zhang|Y Sugano|M Fritz,"Appearance-based gaze estimation is believed to work well in real-world settings, but
existing datasets have been collected under controlled laboratory conditions and methods
have been not evaluated across multiple datasets. In this work we study appearance-based …",8284646831790188439,199,Appearance-based gaze estimation in the wild,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Appearance-Based_Gaze_Estimation_2015_CVPR_paper.pdf
99,SU Hussain|T Napoléon,"This paper proposes a novel face representation based on Local Quantized Patterns (LQP).
LQP is a generalization of local pattern features that makes use of vector quantization and
lookup table to let local pattern features have many more pixels and/or quantization levels …",14332142130811518773,156,Face recognition using local quantized patterns,https://hal.archives-ouvertes.fr/hal-00806104/document
100,J Ruiz-del-Solar|R Verschae|M Correa,"The aim of this work is to carry out a comparative study of face recognition methods that are
suitable to work in unconstrained environments. The analyzed methods are selected by
considering their performance in former comparative studies, in addition to be real-time, to …",3021616903872176881,149,Recognition of faces in unconstrained environments: A comparative study,https://link.springer.com/content/pdf/10.1155/2009/184617.pdf
101,K Sohn|H Lee|X Yan,"Supervised deep learning has been successfully applied for many recognition problems in
machine learning and computer vision. Although it can approximate a complex many-to-one
function very well when large number of training data is provided, the lack of probabilistic …",12314198516266869942,306,Learning structured output representation using deep conditional generative models,http://papers.nips.cc/paper/5775-learning-structured-output-representation-using-deep-conditional-generative-models.pdf
102,H Han|C Otto|X Liu|AK Jain,"Demographic estimation entails automatic estimation of age, gender and race of a person
from his face image, which has many potential applications ranging from forensics to social
media. Automatic demographic estimation, particularly age estimation, remains a …",3837976453676830645,181,Demographic estimation from face images: Human vs. machine performance,http://vipl.ict.ac.cn/uploadfile/upload/2017020711105957.pdf
103,P Zhu|L Zhang|Q Hu,"Small sample size is one of the most challenging problems in face recognition due to the
difficulty of sample collection in many real-world applications. By representing the query
sample as a linear combination of training samples from all classes, the so-called …",5121793132294092169,155,Multi-scale patch based collaborative representation for face recognition with margin distribution optimization,http://azadproject.ir/wp-content/uploads/2014/07/2011-Multi-scale-Patch-based-Collaborative-Representation-for-Face-Recognition.pdf
104,B Ma|Y Su|F Jurie,"Avoiding the use of complicated pre-processing steps such as accurate face and body part
segmentation or image normalization, this paper proposes a novel face/person image
representation which can properly handle background and illumination variations. Denoted …",9266962248005369502,173,Covariance descriptor based on bio-inspired features for person re-identification and face verification,https://hal.archives-ouvertes.fr/docs/01/00/99/58/PDF/14_IMAVIS_REID.pdf
105,S Winkler,"Large face datasets are important for advancing face recognition research, but they are
tedious to build, because a lot of work has to go into cleaning the huge amount of raw data.
To facilitate this task, we describe an approach to building face datasets that starts with …",9390951279725836807,190,A data-driven approach to cleaning large face datasets,http://vintage.winklerbros.net/Publications/icip2014a.pdf
106,Q Cao|Y Ying|P Li,"Recently, there is a considerable amount of efforts devoted to the problem of unconstrained
face verification, where the task is to predict whether pairs of images are from the same
person or not. This problem is challenging and difficult due to the large variations in face …",6096691229022786657,157,Similarity metric learning for face recognition,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cao_Similarity_Metric_Learning_2013_ICCV_paper.pdf
107,L Zhang|Y Hu|X He|J Gao,"In this paper, we design a benchmark task and provide the associated datasets for
recognizing face images and link them to corresponding entity keys in a knowledge base.
More specifically, we propose a benchmark task to recognize one million celebrities from …",7096719334274798105,237,Ms-celeb-1m: A dataset and benchmark for large-scale face recognition,https://arxiv.org/pdf/1607.08221
108,J Li|Y Zhang,"This paper presents a novel learning framework for training boosting cascade based object
detector from large scale dataset. The framework is derived from the wellknown Viola-Jones
(VJ) framework but distinguished by three key differences. First, the proposed framework …",6738886949108907040,154,Learning surf cascade for fast and accurate object detection,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_SURF_Cascade_2013_CVPR_paper.pdf
109,T Cour|B Sapp|B Taskar,"We address the problem of partially-labeled multiclass classification, where instead of a
single label per instance, the algorithm is given a candidate set of labels, only one of which
is correct. Our setting is motivated by a common scenario in many image and video …",3344068892486204794,164,Learning from partial labels,http://www.jmlr.org/papers/volume12/cour11a/cour11a.pdf
110,D Chen|G Hua,"In this paper, we address the person re-identification problem, discovering the correct
matches for a probe person image from a set of gallery person images. We follow the
learning-to-rank methodology and learn a similarity function to maximize the difference …",7811388690690161469,170,Similarity learning on an explicit polynomial kernel feature map for person re-identification,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chen_Similarity_Learning_on_2015_CVPR_paper.pdf
111,T Berg|PN Belhumeur,"We propose a method of face verification that takes advantage of a reference set of faces,
disjoint by identity from the test faces, labeled with identity and face part locations. The
reference set is used in two ways. First, we use it to perform an “identity-preserving” …",8277139911421388705,144,[PDF] Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification.,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.361.1903&rep=rep1&type=pdf
112,S Xia|M Shao|J Luo|Y Fu,"There is an urgent need to organize and manage images of people automatically due to the
recent explosion of such data on the Web in general and in social media in particular.
Beyond face detection and face recognition, which have been extensively studied over the …",9142684656177756082,155,Understanding kin relationships in a photo,http://www1.ece.neu.edu/~yunfu/papers/Kinship-TMM.pdf
113,C Ding|D Tao,"The capacity to recognize faces under varied poses is a fundamental human ability that
presents a unique challenge for computer vision systems. Compared to frontal face
recognition, which has been intensively studied and has gradually matured in the past few …",1565996627450427158,161,A comprehensive survey on pose-invariant face recognition,https://arxiv.org/pdf/1502.04383
114,L Best-Rowden|H Han|C Otto,"As face recognition applications progress from constrained sensing and cooperative
subjects scenarios (eg, driver's license and passport photos) to unconstrained scenarios
with uncooperative subjects (eg, video surveillance), new challenges are encountered …",1855572166214262743,146,Unconstrained face recognition: Identifying a person of interest from a media collection,https://www.researchgate.net/profile/Brendan_Klare/publication/263697736_Unconstrained_Face_Recognition_Identifying_a_Person_of_Interest_from_a_Media_Collection/links/57d064e308ae6399a389d966.pdf
115,NS Vu,"This paper addresses the question of computationally inexpensive yet discriminative and
robust feature sets for real-world face recognition. The proposed descriptor named Patterns
of Oriented Edge Magnitudes (POEM) has desirable properties: POEM (1) is an oriented …",9317709950817551081,133,Face recognition with patterns of oriented edge magnitudes,https://pdfs.semanticscholar.org/d03e/4e938bcbc25aa0feb83d8a0830f9cd3eb3ea.pdf
116,C Ding|C Xu|D Tao,"Face images captured in unconstrained environments usually contain significant pose
variation, which dramatically degrades the performance of algorithms designed to recognize
frontal faces. This paper proposes a novel face identification framework capable of handling …",11765648720615450580,145,Multi-task pose-invariant face recognition,https://www.researchgate.net/profile/Changxing_Ding/publication/270962355_Multi-Task_Pose-Invariant_Face_Recognition/links/5688ec8908ae1e63f1f8b085.pdf
117,A Milan|L Leal-Taixé|I Reid|S Roth,"Standardized benchmarks are crucial for the majority of computer vision applications.
Although leaderboards and ranking tables should not be over-claimed, benchmarks often
provide the most objective measure of performance and are therefore important guides for …",13920092871923211898,213,MOT16: A benchmark for multi-object tracking,https://arxiv.org/pdf/1603.00831
118,M Agrawala|W Li|M Dontcheva,"We present a demonstration-based system for automatically generating succinct step-by-
step visual tutorials of photo manipulations. An author first demonstrates the manipulation
using an instrumented version of GIMP that records all changes in interface and application …",8136534433160016372,132,Generating photo manipulation tutorials by demonstration,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.221.17&rep=rep1&type=pdf
119,I Kemelmacher-Shlizerman|SM Seitz,"Recent face recognition experiments on a major benchmark LFW show stunning
performance--a number of algorithms achieve near to perfect score, surpassing human
recognition rates. In this paper, we advocate evaluations at the million scale (LFW includes …",6051410257476935491,201,The megaface benchmark: 1 million faces for recognition at scale,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kemelmacher-Shlizerman_The_MegaFace_Benchmark_CVPR_2016_paper.pdf
120,BC Chen|CS Chen|WH Hsu,"Recently, promising results have been shown on face recognition researches. However,
face recognition and retrieval across age is still challenging. Unlike prior methods using
complex models with strong parametric assumptions to model the aging process, we use a …",17233726932630046823,146,Cross-age reference coding for age-invariant face recognition and retrieval,https://www.iis.sinica.edu.tw/papers/song/17611-F.pdf
121,Y Taigman|M Yang|MA Ranzato,"Scaling machine learning methods to very large datasets has attracted considerable
attention in recent years, thanks to easy access to ubiquitous sensing and data from the
web. We study face recognition and show that three distinct properties have surprising …",10164848479942108704,149,Web-scale training for face identification,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Taigman_Web-Scale_Training_for_2015_CVPR_paper.pdf
122,L Wolf,"This paper advances descriptor-based face recognition by suggesting a novel usage of
descriptors to form an over-complete representation, and by proposing a new metric
learning pipeline within the same/not-same framework. First, the Over-Complete Local …",4860481626549434115,142,Fast high dimensional vector multiplication face recognition,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Barkan_Fast_High_Dimensional_2013_ICCV_paper.pdf
123,HJ Seo|P Milanfar,"We present a novel face representation based on locally adaptive regression kernel (LARK)
descriptors. Our LARK descriptor measures a self-similarity based on “signal-induced
distance” between a center pixel and surrounding pixels in a local neighborhood. By …",2144045078765134920,134,Face verification using the lark representation,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.221.7135&rep=rep1&type=pdf
124,A Dhall|R Goecke|S Lucey,"Quality data recorded in varied realistic environments is vital for effective human face related
research. Currently available datasets for human facial expression analysis have been
generated in highly controlled lab environments. We present a new static facial expression …",16969184502677554782,151,"Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark",https://www.computer.org/csdl/proceedings/iccvw/2011/0063/00/06130508.pdf
125,X Wang|C Zhang|Z Zhang,"Face verification has many potential applications including filtering and ranking image/video
search results on celebrities. Since these images/videos are taken under uncontrolled
environments, the problem is very challenging due to dramatic lighting and pose variations …",5415155725474861532,124,Boosted multi-task learning for face verification with applications to web image and video search,https://www.microsoft.com/en-us/research/uploads/prod/2009/06/Boosted-Multi-Task-Learning-for-Face-Verification-With-Applications-to-Web-Image-and-Video-Search.pdf
126,M Sharif|S Bhagavatula|L Bauer,"Abstract Machine learning is enabling a myriad innovations, including new algorithms for
cancer diagnosis and self-driving cars. The broad use of machine learning makes it
important to understand the extent to which machine-learning algorithms are subject to …",10006479087737690195,231,Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,https://dl.acm.org/ft_gateway.cfm?id=2978392&type=pdf
127,M Guillaumin|J Verbeek|C Schmid,"Metric learning aims at finding a distance that approximates a task-specific notion of
semantic similarity. Typically, a Mahalanobis distance is learned from pairs of data labeled
as being semantically similar or not. In this paper, we learn such metrics in a weakly …",16434553563392655317,131,Multiple instance metric learning from automatically labeled bags of faces,https://hal.inria.fr/docs/00/54/86/39/PDF/GVS10a.pdf
128,JR Beveridge|PJ Phillips|DS Bolme,"Inexpensive “point-and-shoot” camera technology has combined with social network
technology to give the general population a motivation to use face recognition technology.
Users expect a lot; they want to snap pictures, shoot videos, upload, and have their friends …",14133365278203052728,127,The challenge of face recognition from digital point-and-shoot cameras,https://www.researchgate.net/profile/Mohammad_Teli/publication/261392568_The_challenge_of_face_recognition_from_digital_point-and-shoot_cameras/links/54041ea40cf2bba34c1c3662.pdf
129,R Min|N Kose|JL Dugelay,"The recent success of emerging RGB-D cameras such as the Kinect sensor depicts a broad
prospect of 3-D data-based computer applications. However, due to the lack of a standard
testing database, it is difficult to evaluate how the face recognition technology can benefit …",12265069979365493047,144,Kinectfacedb: A kinect database for face recognition,http://www.eurecom.fr/fr/publication/4393/download/mm-publi-4393.pdf
130,X Cao|G Duan,"Face verification involves determining whether a pair of facial images belongs to the same
or different subjects. This problem can prove to be quite challenging in many important
applications where labeled training data is scarce, eg, family album photo organization …",5831855623044570494,132,A practical transfer learning algorithm for face verification,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cao_A_Practical_Transfer_2013_ICCV_paper.pdf
131,G Sharma|S ul Hussain|F Jurie,"This paper proposes a new image representation for texture categorization and facial
analysis, relying on the use of higher-order local differential statistics as features. In contrast
with models based on the global structure of textures and faces, it has been shown recently …",773482693810119300,121,Local higher-order statistics (LHS) for texture categorization and facial analysis,https://hal.archives-ouvertes.fr/docs/00/72/28/19/PDF/lhs_eccv12.pdf
132,E Learned-Miller|GB Huang|A RoyChowdhury,"Abstract In 2007, Labeled Faces in the Wild was released in an effort to spur research in
face recognition, specifically for the problem of face verification with unconstrained images.
Since that time, more than 50 papers have been published that improve upon this …",6279977738716936043,166,Labeled faces in the wild: A survey,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.696.1377&rep=rep1&type=pdf
133,GB Huang|E Learned-Miller,"The Labeled Faces in the Wild (LFW) database has spurred significant research in the
problem of unconstrained face verification and other related problems. While careful usage
guidelines were established in the original technical report describing the database, certain …",6019562805562373151,139,[PDF] Labeled faces in the wild: Updates and new reporting procedures,https://pdfs.semanticscholar.org/2d34/82dcff69c7417c7b933f22de606a0e8e42d4.pdf
134,I Masi|AT Trần|T Hassner,"Face recognition capabilities have recently made extraordinary leaps. Though this progress
is at least partially due to ballooning training set sizes–huge numbers of face images
downloaded and labeled for identity–it is not clear if the formidable task of collecting so …",11085869434810770683,155,Do we really need to collect millions of faces for effective face recognition?,https://arxiv.org/pdf/1603.07057
135,C Ding|D Tao,"Face images appearing in multimedia applications, eg, social networks and digital
entertainment, usually exhibit dramatic pose, illumination, and expression variations,
resulting in considerable performance degradation for traditional face recognition …",16754552945422920980,149,Robust face recognition via multimodal deep face representation,https://arxiv.org/pdf/1509.00244
136,L Wolf|T Hassner|Y Taigman,"The One-Shot similarity measure has recently been introduced in the context of face
recognition where it was used to produce state-of-the-art results. Given two vectors, their
One-Shot similarity score reflects the likelihood of each vector belonging in the same class …",7642698447291243700,119,The one-shot similarity kernel,https://www.openu.ac.il/home/hassner/projects/Ossk/WolfHassnerTaigman_ICCV09.pdf
137,TY Lin|Y Cui|S Belongie|J Hays,"The recent availability of geo-tagged images and rich geospatial data has inspired a number
of algorithms for image based geolocalization. Most approaches predict the location of a
query image by matching to ground-level images with known locations (eg, street-view …",10824595950759689962,134,Learning deep representations for ground-to-aerial geolocalization,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Lin_Learning_Deep_Representations_2015_CVPR_paper.pdf
138,J Gauthier,"We apply an extension of generative adversarial networks (GANs)[8] to a conditional setting.
In the GAN framework, a “generator” network is tasked with fooling a “discriminator” network
into believing that its own samples are real data. We add the capability for each network to …",5990267490871493945,143,[PDF] Conditional generative adversarial nets for convolutional face generation,https://pdfs.semanticscholar.org/42f6/f5454dda99d8989f9814989efd50fe807ee8.pdf
139,Q Chen|R Feris|LM Brown,"We address the problem of describing people based on fine-grained clothing attributes. This
is an important problem for many practical applications, such as identifying target suspects
or finding missing people based on detailed clothing descriptions in surveillance videos or …",15119993148313317568,144,Deep domain adaptation for describing people based on fine-grained clothing attributes,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Chen_Deep_Domain_Adaptation_2015_CVPR_paper.pdf
140,A Kae|K Sohn|H Lee,"Conditional random fields (CRFs) provide powerful tools for building models to label image
segments. They are particularly well-suited to modeling local interactions among adjacent
regions (eg, superpixels). However, CRFs are limited in dealing with complex, global (long …",13771768434346991290,119,Augmenting CRFs with Boltzmann machine shape priors for image labeling,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Kae_Augmenting_CRFs_with_2013_CVPR_paper.pdf
141,X Xiong|F De la Torre,"Mathematical optimization plays a fundamental role in solving many problems in computer
vision (eg, camera calibration, image alignment, structure from motion). It is generally
accepted that second order descent methods are the most robust, fast, and reliable …",659737783701472137,122,Global supervised descent method,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf
142,M Castrillón|O Déniz|D Hernández,"The human face provides useful information during interaction; therefore, any system
integrating Vision-Based Human Computer Interaction requires fast and reliable face and
facial feature detection. Different approaches have focused on this ability but only open …",8087854887973151306,109,A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework,https://www.researchgate.net/profile/Javier_Lorenzo-Navarro/publication/225153455_A_comparison_of_face_and_facial_feature_detectors_based_on_the_Viola-Jones_general_object_detection_framework/links/5731d50908ae6cca19a309f7/A-comparison-of-face-and-facial-feature-detectors-based-on-the-Viola-Jones-general-object-detection-framework.pdf
143,HT Ho|R Chellappa,"One of the key challenges for current face recognition techniques is how to handle pose
variations between the probe and gallery face images. In this paper, we present a method
for reconstructing the virtual frontal view from a given nonfrontal face image using Markov …",8256179485904681434,105,Pose-invariant face recognition using markov random fields,
144,S Xia|M Shao|Y Fu,"Because of the inevitable impact factors such as pose, expression, lighting and aging on
faces, identity verification through faces is still an unsolved problem. Research on biometrics
raises an even challenging problem—is it possible to determine the kinship merely based …",11824669039318147425,113,[PDF] Kinship verification through transfer learning,http://www.aaai.org/ocs/index.php/IJCAI/IJCAI11/paper/download/2979/3727
145,L Zhang|PN Suganthan,"As a powerful tool for data regression and classification, neural networks have received
considerable attention from researchers in fields such as machine learning, statistics,
computer vision and so on. There exists a large body of research work on network training …",4259253002566552652,131,A survey of randomized algorithms for training neural networks,http://web.mysites.ntu.edu.sg/epnsugan/PublicSite/Shared%20Documents/PDFs/Survey_of_Randomized_Algorithms_for_Training_Neural_Networks.pdf
146,B Shen|H Ling,"In this paper we study the problem of online aligning a newly arrived image to previously
well-aligned images. Inspired by recent advances in batch image alignment using low rank
decomposition [16], we treat the newly arrived image, after alignment, as being linearly and …",705672349574300282,114,Online robust image alignment via iterative convex optimization,https://pdfs.semanticscholar.org/5218/fe6aba3068c3d8413eb8fbf990a44199a5cc.pdf
147,B Babenko|P Dollár|Z Tu|S Belongie,"In object recognition in general and in face detection in particular, data alignment is
necessary to achieve good classification results with certain statistical learning approaches
such as Viola-Jones. Data can be aligned in one of two ways:(1) by separating the data into …",8642594015995994221,101,Simultaneous learning and alignment: Multi-instance and multi-pose learning,https://hal.inria.fr/inria-00326736/document
148,D Wang|SCH Hoi|Y He|J Zhu|T Mei,"Auto face annotation, which aims to detect human faces from a facial image and assign them
proper human names, is a fundamental research problem and beneficial to many real-world
applications. In this work, we address this problem by investigating a retrieval-based …",15117840527115919165,105,Retrieval-based face annotation by weak label regularized local coordinate coding,http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3285&context=sis_research
149,X Wu|R He|Z Sun,,,124,[CITATION] A lightened cnn for deep face representation,
150,E Zhou|Z Cao,"Face recognition performance improves rapidly with the recent deep learning technique
developing and underlying large training dataset accumulating. In this paper, we report our
observations on how big data impacts the recognition performance. According to these …",3825976119630612116,119,Naive-deep face recognition: Touching the limit of LFW benchmark or not?,https://arxiv.org/pdf/1501.04690
151,M De Marsico|M Nappi|D Riccio,"Face recognition has made significant advances in the last decade, but robust commercial
applications are still lacking. Current authentication/identification applications are limited to
controlled settings, eg, limited pose and illumination changes, with the user usually aware of …",7211859269383408050,107,Robust face recognition for uncontrolled pose and illumination changes,https://www.researchgate.net/profile/Daniel_Riccio/publication/260652311_Robust_Face_Recognition_for_Uncontrolled_Pose_and_Illumination_Changes/links/5402f4450cf23d9765a55fbc.pdf
152,O Celiktutan|S Ulukaya|B Sankur,"Face landmarking, defined as the detection and localization of certain characteristic points
on the face, is an important intermediary step for many subsequent face processing
operations that range from biometric recognition to the understanding of mental states …",12709867039612250612,93,[HTML] A comparative study of face landmarking techniques,https://link.springer.com/article/10.1186/1687-5281-2013-13
153,J Yim|H Jung|BI Yoo|C Choi|D Park,"Face recognition under viewpoint and illumination changes is a difficult problem, so many
researchers have tried to solve this problem by producing the pose-and illumination-
invariant feature. Zhu et al.[26] changed all arbitrary pose and illumination images to the …",7382636332749255673,121,Rotating your face using multi-task deep neural network,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yim_Rotating_Your_Face_2015_CVPR_paper.pdf
154,Z Wang|Y Song|C Zhang,"Dimensionality reduction is one of the widely used techniques for data analysis. However, it
is often hard to get a demanded low-dimensional representation with only the unlabeled
data, especially for the discriminative task. In this paper, we put forward a novel problem of …",12193951457362726651,96,Transferred dimensionality reduction,https://link.springer.com/content/pdf/10.1007/978-3-540-87481-2_36.pdf
155,T Hassner,"We present a data-driven method for estimating the 3D shapes of faces viewed in single,
unconstrained photos (aka"" in-the-wild""). Our method was designed with an emphasis on
robustness and efficiency with the explicit goal of deployment in real-world applications …",16459979514802332620,108,Viewing real-world faces in 3D,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Hassner_Viewing_Real-World_Faces_2013_ICCV_paper.pdf
156,L Zhang|PN Suganthan,"Ensemble methods use multiple models to get better performance. Ensemble methods have
been used in multiple research fields such as computational intelligence, statistics and
machine learning. This paper reviews traditional as well as state-of-the-art ensemble …",14156107131161535501,129,"[PDF] Ensemble classification and regression-recent developments, applications and future directions",http://web.mysites.ntu.edu.sg/epnsugan/PublicSite/Shared%20Documents/PDFs/CIM_ensemble_classification_regression_survey.pdf
157,C Ding|D Tao,"Human faces in surveillance videos often suffer from severe image blur, dramatic pose
variations, and occlusion. In this paper, we propose a comprehensive framework based on
Convolutional Neural Networks (CNN) to overcome challenges in video-based face …",7712565699770130730,91,Trunk-branch ensemble convolutional neural networks for video-based face recognition,https://arxiv.org/pdf/1607.05427;Trunk-Branch
158,T Hassner|L Wolf,"Recognizing actions in videos is rapidly becoming a topic of much research. To facilitate the
development of methods for action recognition, several video collections, along with
benchmark protocols, have previously been proposed. In this paper, we present a novel …",5157516198759762451,95,The action similarity labeling challenge,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.400.8877&rep=rep1&type=pdf
159,JE Tapia,"In this paper, we report our extension of the use of feature selection based on mutual
information and feature fusion to improve gender classification of face images. We compare
the results of fusing three groups of features, three spatial scales, and four different mutual …",6033830850128724335,104,"[PDF] Gender classification based on fusion of different spatial scale features selected by mutual information from histogram of LBP, intensity, and shape",http://repositorio.uchile.cl/bitstream/handle/2250/126294/Gender%20Classification.pdf?sequence=1
160,F Pernici,"In this paper, we present the ALIEN tracking method that exploits oversampling of local
invariant representations to build a robust object/context discriminative classifier. To this
end, we use multiple instances of scale invariant local features weakly aligned along the …",9480548260572014159,97,Object tracking by oversampling local features,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.642.1814&rep=rep1&type=pdf
161,J Hu|J Lu|J Yuan|YP Tan,"Metric learning has been widely used in face and kinship verification and a number of such
algorithms have been proposed over the past decade. However, most existing metric
learning methods only learn one Mahalanobis distance metric from a single feature …",13300876665334231436,104,Large margin multi-metric learning for face and kinship verification in the wild,http://rose.ntu.edu.sg/Publications/Documents/Hu%20Junlin_Large%20Margin%20Multi-Metric%20Learning%20for%20Face%20and%20Kinship%20Verification%20in%20the%20Wild.pdf
162,Z Zhou|G Zhao|X Hong|M Pietikäinen,"Visual speech information plays an important role in automatic speech recognition (ASR)
especially when audio is corrupted or even inaccessible. Despite the success of audio-
based ASR, the problem of visual speech decoding remains widely open. This paper …",3303743376728449171,88,A review of recent advances in visual speech decoding,https://www.researchgate.net/profile/Ziheng_Zhou/publication/264083813_Final-Version/links/0f31753cdb4cfa1b75000000/Final-Version.pdf
163,G Hu|Y Yang|D Yi|J Kittler|W Christmas,"Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising
results in face recognition recently. However, it remains an open question: why CNNs work
well and how to design a'good'architecture. The existing works tend to focus on reporting …",14574687585213603640,113,When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition,https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Hu_When_Face_Recognition_ICCV_2015_paper.pdf
164,J Wright|G Hua,"We present a new approach to robust pose-variant face recognition, which exhibits excellent
generalization ability even across completely different datasets due to its weak dependence
on data. Most face recognition algorithms assume that the face images are very well …",17206184258943003060,91,Implicit elastic matching with random projections for pose-variant face recognition,http://users.eecs.northwestern.edu/~ganghua/publication/CVPR08a.pdf
165,W Liu|Y Wen|Z Yu|M Li|B Raj,"This paper addresses deep face recognition (FR) problem under open-set protocol, where
ideal face features are expected to have smaller maximal intra-class distance than minimal
inter-class distance under a suitably chosen metric space. However, few existing algorithms …",11996860204567761072,204,[PDF] Sphereface: Deep hypersphere embedding for face recognition,http://openaccess.thecvf.com/content_cvpr_2017/papers/Liu_SphereFace_Deep_Hypersphere_CVPR_2017_paper.pdf
166,G Hua|A Akbarzadeh,"We present a robust elastic and partial matching metric for face recognition. To handle
challenges such as pose, facial expression and partial occlusion, we enable both elastic
and partial matching by computing a part based face representation. In which N local image …",11570913671278269261,87,A robust elastic and partial matching metric for face recognition,http://www.ece.northwestern.edu/~ganghua/publication/ICCV09a.pdf
167,J Yan|Z Lei|D Yi|S Li,"In this paper, we present the details of our method in attending the 300 Faces in-the-wild
(300W) challenge. We build our method on cascade regression framework, where a series
of regressors are utilized to progressively refine the shape initialized by face detector. In …",16637726514407435045,97,Learn to combine multiple hypotheses for accurate face alignment,https://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Yan_Learn_to_Combine_2013_ICCV_paper.pdf
168,I Kemelmacher-Shlizerman,"We address the problem of reconstructing 3D face models from large unstructured photo
collections, eg, obtained by Google image search or from personal photo collections in
iPhoto. This problem is extremely challenging due to the high degree of variability in pose …",4092773985779362040,100,Face reconstruction in the wild,https://www.researchgate.net/profile/Ira_Kemelmacher/publication/221111246_Face_Reconstruction_in_the_Wild/links/54dba9b00cf28d3de65bd472/Face-Reconstruction-in-the-Wild.pdf
169,H Fan|Z Cao|Y Jiang,"Face representation is a crucial step of face recognition systems. An optimal face
representation should be discriminative, robust, compact, and very easy-to-implement. While
numerous hand-crafted and learning-based representations have been proposed …",5876431820583882042,101,Learning deep face representation,https://arxiv.org/pdf/1403.2802
170,EG Ortiz|M Shah,"This paper presents an end-to-end video face recognition system, addressing the difficult
problem of identifying a video face track using a large dictionary of still face images of a few
hundred people, while rejecting unknown individuals. A straightforward application of the …",13089531990979797102,95,Face recognition in movie trailers via mean sequence sparse representation-based classification,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ortiz_Face_Recognition_in_2013_CVPR_paper.pdf
171,P Bojanowski|F Bach|I Laptev|J Ponce,"We address the problem of learning a joint model of actors and actions in movies using
weak supervision provided by scripts. Specifically, we extract actor/action pairs from the
script and use them as constraints in a discriminative clustering framework. The …",1894577597424952222,96,Finding actors and actions in movies,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Bojanowski_Finding_Actors_and_2013_ICCV_paper.pdf
172,D Wang|SCH Hoi|Y He|J Zhu,"This paper investigates a framework of search-based face annotation (SBFA) by mining
weakly labeled facial images that are freely available on the World Wide Web (WWW). One
challenging problem for search-based face annotation scheme is how to effectively perform …",14454002665924017794,88,Mining weakly labeled web facial images for search-based face annotation,http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3278&context=sis_research
173,X Bai|B Wang|C Yao|W Liu,"In this paper, we propose a new shape/object retrieval algorithm, namely, co-transduction.
The performance of a retrieval system is critically decided by the accuracy of adopted
similarity measures (distances or metrics). In shape/object retrieval, ideally, intraclass …",1549938706586546505,88,Co-transduction for shape retrieval,https://www.researchgate.net/profile/Wenyu_Liu3/publication/51686559_Co-Transduction_for_Shape_Retrieval/links/0deec52b855fa9ccc0000000.pdf
174,BC Becker|EG Ortiz,"This paper evaluates face recognition applied to the real-world application of Facebook.
Because papers usually present results in terms of accuracy on constrained face datasets, it
is difficult to assess how they would work on natural data in a real-world application. We …",13148406163097848755,86,Evaluation of face recognition techniques for application to facebook,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.160.1943&rep=rep1&type=pdf
175,M Yang|L Zhang,"Factors such as misalignment, pose variation, and occlusion make robust face recognition a
difficult problem. It is known that statistical features such as local binary pattern are effective
for local feature extraction, whereas the recently proposed sparse or collaborative …",15070594179519633034,89,Robust kernel representation with statistical local features for face recognition,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.639.4032&rep=rep1&type=pdf
176,H Li|G Hua|X Shen|Z Lin|J Brandt,"To effectively solve the problem of large scale video face recognition, we argue for a
comprehensive, compact, and yet flexible representation of a face subject. It shall
comprehensively integrate the visual information from all relevant video frames of the …",5407240453876540361,90,Eigen-pep for video face recognition,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.646.6062&rep=rep1&type=pdf
177,W Liu|Y Wen|Z Yu|M Yang,"Cross-entropy loss together with softmax is arguably one of the most common used
supervision components in convolutional neural networks (CNNs). Despite its simplicity,
popularity and excellent performance, the component does not explicitly encourage …",132136711413140598,163,[PDF] Large-Margin Softmax Loss for Convolutional Neural Networks.,http://www.jmlr.org/proceedings/papers/v48/liud16.pdf
178,J Hu|J Lu|YP Tan,"Conventional metric learning methods usually assume that the training and test samples are
captured in similar scenarios so that their distributions are assumed to be the same. This
assumption doesn't hold in many real visual recognition applications, especially when …",2737605426767264632,128,Deep transfer metric learning,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Hu_Deep_Transfer_Metric_2015_CVPR_paper.pdf
179,J Wang|G Zeng|Z Tu,"The k-NN graph has played a central role in increasingly popular data-driven techniques for
various learning and vision tasks; yet, finding an efficient and effective way to construct k-NN
graphs remains a challenge, especially for large-scale high-dimensional data. In this paper …",3871221256900448016,89,Scalable k-nn graph construction for visual descriptors,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.661.4439&rep=rep1&type=pdf
180,C Huang,"Face Recognition has been studied for many decades. As opposed to traditional hand-
crafted features such as LBP and HOG, much more sophisticated features can be learned
automatically by deep learning methods in a data-driven way. In this paper, we propose a …",10962147699917251085,105,Targeting ultimate accuracy: Face recognition via deep embedding,https://arxiv.org/pdf/1506.07310
181,BC Chen|YY Chen|YH Kuo|WH Hsu,"Photos with people (eg, family, friends, celebrities, etc.) are the major interest of users. Thus,
with the exponentially growing photos, large-scale content-based face image retrieval is an
enabling technology for many emerging applications. In this work, we aim to utilize …",16774915294693135513,83,Scalable Face Image Retrieval Using Attribute-Enhanced Sparse Codewords.,http://ntucsu.csie.ntu.edu.tw/~winston/papers/chen12scalable.pdf
182,M Guillaumin|T Mensink|J Verbeek,"In this paper, we present methods for face recognition using a collection of images with
captions. We consider two tasks: retrieving all faces of a particular person in a data set, and
establishing the correct association between the names in the captions and the faces in the …",17958432724954132749,83,Face recognition from caption-based supervision,https://hal.inria.fr/inria-00585834/document
183,A Tewari|M Zollhofer,"In this work we propose a novel model-based deep convolutional autoencoder that
addresses the highly challenging problem of reconstructing a 3D human face from a single
in-the-wild color image. To this end, we combine a convolutional encoder network with an …",1588561877699027150,77,Mofa: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction,http://openaccess.thecvf.com/content_ICCV_2017/papers/Tewari_MoFA_Model-Based_Deep_ICCV_2017_paper.pdf
184,I Masi|G Medioni,"We propose a method to push the frontiers of unconstrained face recognition in the wild,
focusing on the problem of extreme pose variations. As opposed to current techniques which
either expect a single model to learn pose invariance through massive amounts of training …",8112909669524398760,112,Pose-aware face recognition in the wild,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf
185,JC Klontz|BF Klare|S Klum,"The biometrics community enjoys an active research field that has produced algorithms for
several modalities suitable for real-world applications. Despite these developments, there
exist few open source implementations of complete algorithms that are maintained by the …",6620897882234230199,83,[PDF] Open source biometric recognition,http://biometrics.cse.msu.edu/Publications/GeneralBiometrics/Klontzetal_OpenSourceBiometricRecognition_BTAS13.pdf
186,N Wang|X Gao|D Tao|X Li,"This paper presents a comprehensive survey of facial feature point detection with the
assistance of abundant manually labeled images. Facial feature point detection favors many
applications such as face recognition, animation, tracking, hallucination, expression analysis …",1119920801343896890,95,Facial feature point detection: A comprehensive survey,https://arxiv.org/pdf/1410.1037
187,X Zhang|L Zhang|XJ Wang,"In this paper, we present a face annotation system to automatically collect and label celebrity
faces from the web. With the proposed system, we have constructed a large-scale dataset
called “Celebrities on the Web,” which contains 2.45 million distinct images of 421 436 …",14739543421659465339,77,[PDF] Finding celebrities in billions of web images,https://www.researchgate.net/profile/Xin-Jing_Wang/publication/260350275_Finding_Celebrities_in_Billions_of_Web_Images/links/544694250cf22b3c14de6beb/Finding-Celebrities-in-Billions-of-Web-Images.pdf
188,TL Berg|AC Berg,"We demonstrate that is it possible to automatically find representative example images of a
specified object category. These canonical examples are perhaps the kind of images that
one would show a child to teach them what, for example a horse is-images with a large …",5898021290822453620,78,Finding iconic images,http://w.tamaraberg.com/papers/internetvisionworkshop_iconic.pdf
189,K Bonnen|BF Klare|AK Jain,"This paper presents a framework for component-based face alignment and representation
that demonstrates improvements in matching performance over the more common holistic
approach to face alignment and representation. This work is motivated by recent evidence …",12285616567335985916,80,Component-based representation in automated face recognition,http://motion.cps.utexas.edu/wp-content/uploads/2014/09/06341076.pdf
190,SR Arashloo|J Kittler,"The paper addresses the problem of pose-invariant recognition of faces via an MRF
matching model. Unlike previous costly matching approaches, the proposed algorithm
employs effective techniques to reduce the MRF inference time. To this end, processing is …",10731654313684925052,74,Efficient processing of MRFs for unconstrained-pose face recognition,http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2019/PID2859743.pdf
191,P Tome|J Fierrez|R Vera-Rodriguez,"Soft biometric information extracted from a human body (eg, height, gender, skin color, hair
color, and so on) is ancillary information easily distinguished at a distance but it is not fully
distinctive by itself in recognition tasks. However, this soft information can be explicitly fused …",4922551206969687178,84,Soft biometrics and their application in person recognition at a distance,https://eprints.soton.ac.uk/363288/1/tome%2520tifs.pdf
192,H Yan|J Lu|X Zhou,"In this paper, we propose a new prototype-based discriminative feature learning (PDFL)
method for kinship verification. Unlike most previous kinship verification methods which
employ low-level hand-crafted descriptors such as local binary pattern and Gabor features …",10574811632689752724,87,Prototype-based discriminative feature learning for kinship verification,https://www.kinfacew.com/papers/PDFL_TCYB15.pdf
193,CD Castillo|DW Jacobs,"Face recognition across pose is a problem of fundamental importance in computer vision.
We propose to address this problem by using stereo matching to judge the similarity of two,
2D images of faces seen from different poses. Stereo matching allows for arbitrary …",8316896109201471525,72,Using stereo matching with general epipolar geometry for 2d face recognition across pose,
194,P Zhu|W Zuo|L Zhang,"With the rapid development of digital imaging and communication technologies, image set-
based face recognition (ISFR) is becoming increasingly important. One key issue of ISFR is
how to effectively and efficiently represent the query face image set using the gallery face …",583497431017534872,81,Image set-based collaborative representation for face recognition,https://arxiv.org/pdf/1308.6687
195,C Shen|J Kim|L Wang|A Hengel,"The success of many machine learning and pattern recognition methods relies heavily upon
the identification of an appropriate distance metric on the input data. It is often beneficial to
learn such a metric from the input training data, instead of using a default one such as the …",10046970145009954690,76,Positive semidefinite metric learning using boosting-like algorithms,http://www.jmlr.org/papers/volume13/shen12a/shen12a.pdf
196,H Li|G Hua|Z Lin|J Brandt|J Yang,"We propose an unsupervised detector adaptation algorithm to adapt any offline trained face
detector to a specific collection of images, and hence achieve better accuracy. The core of
our detector adaptation algorithm is a probabilistic elastic part (PEP) model, which is offline …",2564623829334680905,73,Probabilistic elastic part model for unsupervised face detector adaptation,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Li_Probabilistic_Elastic_Part_2013_ICCV_paper.pdf
197,CB Ng|YH Tay|BM Goi,"Gender is an important demographic attribute of people. This paper provides a survey of
human gender recognition in computer vision. A review of approaches exploiting information
from face and whole body (either from a still image or gait sequence) is presented. We …",4738296583798078141,76,Vision-based human gender recognition: A survey,https://arxiv.org/pdf/1204.1611
198,J Byrne|C Stauffer,"Face recognition performance evaluation has traditionally focused on one-to-one
verification, popularized by the Labeled Faces in the Wild dataset [1] for imagery and the
YouTubeFaces dataset [2] for videos. In contrast, the newly released IJB-A face recognition …",6665742215798226909,70,Template adaptation for face verification and identification,https://arxiv.org/pdf/1603.03958
199,E Christiansen,"We present a study on grocery detection using our object detection system, ShelfScanner,
which seeks to allow a visually impaired user to shop at a grocery store without additional
human assistance. ShelfScanner allows online detection of items on a shopping list, in video …",9837531808504731923,72,Toward real-time grocery detection for the visually impaired,http://www.academia.edu/download/30744778/CVAVI_07.pdf
200,S Liao|Z Lei|D Yi|SZ Li,"Many efforts have been made in recent years to tackle the unconstrained face recognition
challenge. For the benchmark of this challenge, the Labeled Faces in theWild (LFW)
database has been widely used. However, the standard LFW protocol is very limited, with …",7072440037264596054,81,A benchmark study of large-scale unconstrained face recognition,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.710.1722&rep=rep1&type=pdf
201,S Hawe|M Seibert|M Kleinsteuber,"Many techniques in computer vision, machine learning, and statistics rely on the fact that a
signal of interest admits a sparse representation over some dictionary. Dictionaries are
either available analytically, or can be learned from a suitable training set. While analytic …",1359041716418714018,78,Separable dictionary learning,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Hawe_Separable_Dictionary_Learning_2013_CVPR_paper.pdf
202,I Kemelmacher-Shlizerman|E Shechtman,"We present an approach for generating face animations from large image collections of the
same person. Such collections, which we call photobios, sample the appearance of a
person over changes in pose, facial expression, hairstyle, age, and other variations. By …",1013844379885090774,70,Exploring photobios,https://www.researchgate.net/profile/Ira_Kemelmacher/publication/220183438_Exploring_Photobios/links/54dba97d0cf2a7769d922815/Exploring-Photobios.pdf
203,NS Vu|HM Dee,"Real-world face recognition systems require careful balancing of three concerns:
computational cost, robustness, and discriminative power. In this paper we describe a new
descriptor, POEM (patterns of oriented edge magnitudes), by applying a self-similarity based …",14545460226556799970,74,Face recognition using the POEM descriptor,
204,R Huang|S Zhang|R He,"Photorealistic frontal view synthesis from a single face image has a wide range of
applications in the field of face recognition. Although data-driven deep learning methods
have been proposed to address this problem by seeking solutions from ample face data, this …",15204586527488059616,133,[PDF] Beyond face rotation: Global and local perception gan for photorealistic and identity preserving frontal view synthesis,http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Beyond_Face_Rotation_ICCV_2017_paper.pdf
205,P Luo|X Wang|X Tang,"Recent works have shown that facial attributes are useful in a number of applications such
as face recognition and retrieval. However, estimating attributes in images with large
variations remains a big challenge. This challenge is addressed in this paper. Unlike …",13696004000089280460,74,A deep sum-product architecture for robust facial attributes analysis,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Luo_A_Deep_Sum-Product_2013_ICCV_paper.pdf
206,L Wolf|T Hassner|Y Taigman,"Recent methods for learning similarity between images have presented impressive results in
the problem of pair matching (same/notsame classification) of face images. In this paper we
explore how well this performance carries over to the related task of multi-option face …",5664954033400545837,528,Descriptor based methods in the wild,https://hal.inria.fr/docs/00/32/67/29/PDF/Wolf_patchlbp.pdf
207,EG Ortiz|BC Becker,"With millions of users and billions of photos, web-scale face recognition is a challenging task
that demands speed, accuracy, and scalability. Most current approaches do not address and
do not scale well to Internet-sized scenarios such as tagging friends or finding celebrities …",1960601819752552469,70,Face recognition for web-scale datasets,http://crcv.ucf.edu/papers/OrtizBecker_Webscale_CVIU.pdf
208,,"© Springer International Publishing Switzerland 2016 This Springer imprint is published by
Springer NatureThis work is subject to copyright. All rights are reserved by the Publisher,
whether the whole or part of the material is concerned, specifically the rights of translation …",16067553053841798492,78,[BOOK] Computer vision metrics,http://www.embedded-vision.com/sites/default/files/apress/computervisionmetrics/introduction/9781430259299_FM.pdf
209,CY Wu|R Manmatha|AJ Smola,"Deep embeddings answer one simple question: How similar are two images? Learning
these embeddings is the bedrock of verification, zero-shot learning, and visual search. The
most prominent approaches optimize a deep convolutional network with a suitable loss …",17172154549460467447,63,Sampling matters in deep embedding learning,http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Sampling_Matters_in_ICCV_2017_paper.pdf
210,J Bekios-Calfa|JM Buenaposada|L Baumela,"Estimating human face gender from images is a problem that has been extensively studied
because of its relevant applications. Recent works report significant drops in performance for
state-of-the-art gender classifiers when evaluated “in the wild,” ie, with uncontrolled …",7418904237830411539,71,Robust gender recognition by exploiting facial attributes dependencies,http://www.dia.fi.upm.es/~lbaumela/WEB/publications/prl2013.pdf
211,C Wallraven|DW Cunningham,"For over 150 years, physiologists and psychologists have been performing experiments to
determine what signals in the world humans and animals can extract, how those signals are
converted into information, and how the information is then represented and processed …",7363305835516192409,71,[BOOK] Experimental design: From user studies to psychophysics,
212,J Yang|D Parikh|D Batra,"In this paper, we propose a recurrent framework for joint unsupervised learning of deep
representations and image clusters. In our framework, successive operations in a clustering
algorithm are expressed as steps in a recurrent process, stacked on top of representations …",1604679329796491368,121,Joint unsupervised learning of deep representations and image clusters,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yang_Joint_Unsupervised_Learning_CVPR_2016_paper.pdf
213,H Yang|I Patras,"In this paper we propose a method for the localization of multiple facial features on
challenging face images. In the regression forests (RF) framework, observations (patches)
that are extracted at several image locations cast votes for the localization of several facial …",10350002544534700690,68,Sieving regression forest votes for facial feature detection in the wild,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_Sieving_Regression_Forest_2013_ICCV_paper.pdf
214,BC Chen|CS Chen|WH Hsu,"This paper introduces a method for face recognition across age and also a dataset
containing variations of age in the wild. We use a data-driven method to address the cross-
age face recognition problem, called cross-age reference coding (CARC). By leveraging a …",3690310240027080462,87,Face recognition and retrieval using cross-age reference coding with cross-age celebrity dataset,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.707.8032&rep=rep1&type=pdf
215,QMJ Wu|M Ahmadi,"In this paper, it is shown that multiscale analysis of facial structure and features of face
images leads to superior recognition rates for images under varying illumination. The
proposed method, which is computationally cost effective, significantly suppresses …",5792974999234884985,70,An efficient illumination invariant face recognition framework via illumination enhancement and DD-DTCWT filtering,http://www.cvsslab.com/publication/103.pdf
216,A Coates|A Karpathy|AY Ng,"Recent work in unsupervised feature learning has focused on the goal of discovering high-
level features from unlabeled images. Much progress has been made in this direction, but in
most cases it is still standard to use a large amount of labeled data in order to construct …",10794633353847907100,62,Emergence of object-selective features in unsupervised feature learning,http://papers.nips.cc/paper/4497-emergence-of-object-selective-features-in-unsupervised-feature-learning.pdf
217,J Xing|S Liu|S Yan,"Beauty e-Experts, a fully automatic system for makeover recommendation and synthesis, is
developed in this work. The makeover recommendation and synthesis system
simultaneously considers many kinds of makeover items on hairstyle and makeup. Given a …",10907645369848987821,62,Wow! you are so beautiful today!,https://people.cs.clemson.edu/~jzwang/1501863/mm2013/p3-liu.pdf
218,S Sankaranarayanan|A Alavi|C Castillo,"Despite significant progress made over the past twenty five years, unconstrained face
verification remains a challenging problem. This paper proposes an approach that couples a
deep CNN-based approach with a low-dimensional discriminative embedding learned using …",16621248650975401599,86,Triplet probabilistic embedding for face verification and clustering,https://arxiv.org/pdf/1604.05417
219,N Zhang|Y Taigman|R Fergus,"We explore the task of recognizing peoples' identities in photo albums in an unconstrained
setting. To facilitate this, we introduce the new People In Photo Albums (PIPA) dataset,
consisting of over 60000 instances of~ 2000 individuals collected from public Flickr photo …",4032136205953773331,77,Beyond frontal faces: Improving person recognition using multiple cues,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Beyond_Frontal_Faces_2015_CVPR_paper.pdf
220,F Lieder|T Griffiths|N Goodman,"Bayesian inference provides a unifying framework for addressing problems in machine
learning, artificial intelligence, and robotics, as well as the problems facing the human mind.
Unfortunately, exact Bayesian inference is intractable in all but the simplest models …",4014842505286628901,66,"Burn-in, bias, and the rationality of anchoring",http://papers.nips.cc/paper/4719-burn-in-bias-and-the-rationality-of-anchoring.pdf
221,C Huang|S Zhu|K Yu,"Learning Mahanalobis distance metrics in a high-dimensional feature space is very difficult
especially when structural sparsity and low rank are enforced to improve com-putational
efficiency in testing phase. This paper addresses both aspects by an ensemble metric …",5709991103747431565,60,"Large scale strongly supervised ensemble metric learning, with applications to face verification and retrieval",https://arxiv.org/pdf/1212.6094
222,R Ranjan|S Sankaranarayanan,"We present a multi-purpose algorithm for simultaneous face detection, face alignment, pose
estimation, gender recognition, smile detection, age estimation and face recognition using a
single deep convolutional neural network (CNN). Theproposed method employs a multi-task …",9787332191259973752,113,An all-in-one convolutional neural network for face analysis,https://arxiv.org/pdf/1611.00851
223,X Tan|ZH Zhou|S Chen,"In this paper, we present an enhanced pictorial structure (PS) model for precise eye
localization, a fundamental problem involved in many face processing tasks. PS is a
computationally efficient framework for part-based object modelling. For face images taken …",817392102131663930,57,Enhanced pictorial structures for precise eye localization under incontrolled conditions,https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/cvpr09b.pdf
224,P Dago-Casas|D González-Jiménez,"Gender classification is one of the most important tasks in automated face analysis, and has
attracted the interest of researchers for years. Up to now, most gender classification
approaches have been tested using single-database experiments, and on quite controlled …",16285039674172733728,61,Single-and cross-database benchmarks for gender classification under unconstrained settings,https://www.computer.org/csdl/proceedings/iccvw/2011/0063/00/06130514.pdf
225,I Kemelmacher-Shlizerman|A Sankar,"Given a photo of person A, we seek a photo of person B with similar pose and expression.
Solving this problem enables a form of puppetry, in which one person appears to control the
face of another. When deployed on a webcam-equipped computer, our approach enables a …",15703973721117313515,60,Being john malkovich,https://pdfs.semanticscholar.org/7862/f646d640cbf9f88e5ba94a7d642e2a552ec9.pdf
226,F Schroff|T Treibitz|D Kriegman|S Belongie,"Face recognition approaches have traditionally focused on direct comparisons between
aligned images, eg using pixel values or local image features. Such comparisons become
prohibitively difficult when comparing faces across extreme differences in pose, illumination …",4347078570515619899,62,"Pose, illumination and expression invariant pairwise face-similarity measure via doppelgänger list comparison",
227,F Juefei-Xu|M Savvides,"In this paper, we employ several subspace representations (principal component analysis,
unsupervised discriminant projection, kernel class-dependence feature analysis, and kernel
discriminant analysis) on our proposd discrete transform encoded local binary patterns (DT …",14527696048743795184,63,Subspace-based discrete transform encoded local binary patterns representations for robust periocular matching on NIST's face recognition grand challenge,http://xujuefei.com/felix_tip14_lbp.pdf
228,L El Shafey|C McCool|R Wallace,"In this paper, we present a scalable and exact solution for probabilistic linear discriminant
analysis (PLDA). PLDA is a probabilistic model that has been shown to provide state-of-the-
art performance for both face and speaker recognition. However, it has one major drawback …",10886165115938549495,62,A scalable formulation of probabilistic linear discriminant analysis: Applied to face recognition,https://infoscience.epfl.ch/record/192719/files/ElShafey_Idiap-RR-07-2013.pdf
229,X Peng|L Zhang|Z Yi,"Under the framework of spectral clustering, the key of subspace clustering is building a
similarity graph, which describes the neighborhood relations among data points. Some
recent works build the graph using sparse, low-rank, and ℓ 2-norm-based representation …",7225558232268000809,74,A unified framework for representation-based subspace clustering of out-of-sample and large-scale data,https://arxiv.org/pdf/1309.6487
230,J Lu|VE Liong|G Wang,"This paper presents a new joint feature learning (JFL) approach to automatically learn
feature representation from raw pixels for face recognition. Unlike many existing face
recognition systems, where conventional feature descriptors, such as local binary patterns …",1576681958337510759,61,Joint feature learning for face recognition,
231,M Kan|S Shan|D Xu|X Chen,"In recent years, face recognition in the unconstrained environment has attracted increasing
attentions, and a few methods have been evaluated on the Labeled Faces in the Wild (LFW)
database. In the unconstrained conditions, sometimes we cannot obtain the full class label …",16268254478301588517,63,[PDF] Side-Information based Linear Discriminant Analysis for Face Recognition.,http://vipl.ict.ac.cn/homepage/mnkan/pdf/2011BMVCSILD.pdf
232,J Mansanet|A Albiol|R Paredes,"Deep learning methods are able to automatically discover better representations of the data
to improve the performance of the classifiers. However, in computer vision tasks, such as the
gender recognition problem, sometimes it is difficult to directly learn from the entire image. In …",14573344986336331034,71,Local deep neural networks for gender recognition,https://riunet.upv.es/bitstream/handle/10251/84826/main_plain.pdf?sequence=3
233,H Gao|HK Ekenel|R Stiefelhagen,"We focused this work on handling variation in facial appearance caused by 3D head pose. A
pose normalization approach based on fitting active appearance models (AAM) on a given
face image was investigated. Profile faces with different rotation angles in depth were …",12741298130029346425,59,Pose normalization for local appearance-based face recognition,https://www.researchgate.net/profile/Hua_Gao3/publication/221383575_Pose_Normalization_for_Local_Appearance-Based_Face_Recognition/links/0c9605167e19436efc000000.pdf
234,J Zhu|L Van Gool|SCH Hoi,"We propose a novel approach to unsupervised facial image alignment. Differently from
previous approaches, that are confined to affine transformations on either the entire face or
separate patches, we extract a nonrigid mapping between facial images. Based on a …",3257055446006668411,59,Unsupervised face alignment by robust nonrigid mapping,http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3371&context=sis_research
235,T Xiang|Y Tian,"Person re-identification (Re-ID) poses a unique challenge to deep learning: how to learn a
deep model with millions of parameters on a small training set of few or no labels. In this
paper, a number of deep transfer learning models are proposed to address the data sparsity …",3339740530513307001,101,Deep transfer learning for person re-identification,https://arxiv.org/pdf/1611.05244
236,W Wang|Y Yan|J Feng|S Yan,"Modeling the aging process of human face is important for cross-age face verification and
recognition. In this paper, we introduce a recurrent face aging (RFA) framework based on a
recurrent neural network which can identify the ages of people from 0 to 80. Due to the lack …",17194182546995604938,73,Recurrent face aging,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Recurrent_Face_Aging_CVPR_2016_paper.pdf
237,D Yi|Z Lei|SZ Li,"After intensive research, heterogenous face recognition is still a challenging problem. The
main difficulties are owing to the complex relationship between heterogenous face image
spaces. The heterogeneity is always tightly coupled with other variations, which makes the …",8702817085170587402,64,Shared representation learning for heterogenous face recognition,https://arxiv.org/pdf/1406.1247
238,BM Smith|J Brandt|Z Lin|L Zhang,"We propose a data-driven approach to facial landmark localization that models the
correlations between each landmark and its surrounding appearance features. At runtime,
each feature casts a weighted vote to predict landmark locations, where the weight is …",949507690388914700,57,Nonparametric context modeling of local appearance for pose-and expression-robust facial landmark localization,https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Smith_Nonparametric_Context_Modeling_2014_CVPR_paper.pdf
239,D Wang|C Otto|AK Jain,"Due to the prevalence of social media websites, one challenge facing computer vision
researchers is to devise methods to process and search for persons of interest among the
billions of shared photos on these websites. Facebook revealed in a 2013 white paper that …",6090704739511229522,56,Face search at scale: 80 million gallery,https://arxiv.org/pdf/1507.07242
240,X Bai|B Wang|X Wang|W Liu|Z Tu,"In this paper, we propose a new shape/object retrieval algorithm, co-transduction. The
performance of a retrieval system is critically decided by the accuracy of adopted similarity
measures (distances or metrics). Different types of measures may focus on different aspects …",8888268200073286552,56,Co-transduction for shape retrieval,http://www.xinggangw.info/pubs/eccv-co.pdf
241,,"Face recognition has made extraordinary progress owing to the advancement of deep
convolutional neural networks (CNNs). The central task of face recognition, including face
verification and identification, involves face feature discrimination. However, the traditional …",18180463842880004109,53,Cosface: Large margin cosine loss for deep face recognition,http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_CosFace_Large_Margin_CVPR_2018_paper.pdf
242,N Pinto|JJ DiCarlo|DD Cox,"Progress in face recognition relies critically on the creation of test sets against which the
performance of various approaches can be evaluated. A good set must capture the essential
elements of what makes the problem hard, while conforming to practical scale limitations …",2434177734474304525,54,Establishing good benchmarks and baselines for face recognition,https://hal.inria.fr/docs/00/32/67/32/PDF/pinto-dicarlo-cox-eccv-2008-lfw_final.pdf
243,J Deng|S Zafeiriou,"One of the main challenges in feature learning using Deep Convolutional Neural Networks
(DCNNs) for large-scale face recognition is the design of appropriate loss functions that
enhance discriminative power. Centre loss penalises the distance between the deep …",13816119281473749224,52,Arcface: Additive angular margin loss for deep face recognition,https://arxiv.org/pdf/1801.07698
244,W AbdAlmageed|Y Wu,"We introduce our method and system for face recognition using multiple pose-aware deep
learning models. In our representation, a face image is processed by several pose-specific
deep convolutional neural network (CNN) models to generate multiple pose-specific …",5058093065918547569,72,Face recognition using deep multi-pose representations,https://arxiv.org/pdf/1603.07388
245,L Wolf,"Face recognition in unconstrained videos requires specialized tools beyond those
developed for still images: the fact that the confounding factors change state during the
video sequence presents a unique challenge, but also an opportunity to eliminate spurious …",6947563320280290877,53,The svm-minus similarity score for video face recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Wolf_The_SVM-Minus_Similarity_2013_CVPR_paper.pdf
246,S Mau|MT Harandi|C Sanderson,"Although automatic faces recognition has shown success for high-quality images under
controlled conditions, for videobased recognition it is hard to attain similar levels of
performance. We describe in this paper recent advances in a project being undertaken to …",12053848055600476631,52,Face recognition from still images to video sequences: a local-feature-based framework,https://link.springer.com/content/pdf/10.1155/2011/790598.pdf
247,SR Arashloo|J Kittler,"This paper addresses face verification in unconstrained settings. For this purpose, first, a
nonlinear binary class-specific kernel discriminant analysis classifier (CS-KDA) based on
spectral regression kernel discriminant analysis is proposed. By virtue of the two-class …",2989411796864696068,65,Class-specific kernel fusion of multiple descriptors for face verification using multiscale binarised statistical image features,
248,B Triggs,"An object detector must detect and localize each instance of the object class of interest in the
image. Many recent detectors adopt a sliding window approach, reducing the problem to
one of deciding whether the detection window currently contains a valid object instance or …",5767061825653208343,53,Efficient object detection using cascades of nearest convex model classifiers,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.378.7544&rep=rep1&type=pdf
249,Z Wu|Y Huang|L Wang|X Wang,"This paper studies an approach to gait based human identification via similarity learning by
deep convolutional neural networks (CNNs). With a pretty small group of labeled multi-view
human walking videos, we can train deep networks to recognize the most discriminative …",7203997711039369832,90,A comprehensive study on cross-view gait based human identification with deep cnns,http://ir.ia.ac.cn/bitstream/173211/14376/1/wuzifeng-A%20Comprehensive%20Study%20on%20Cross-View%20Gait%20Based%20Human%20Identification%20with%20Deep%20CNNs.pdf
250,Z Wang|QMJ Wu,"Low-resolution face recognition (LR FR) aims to recognize faces from small size or poor
quality images with varying pose, illumination, expression, etc. It has received much
attention with increasing demands for long distance surveillance applications, and extensive …",5436595759524312377,62,Low-resolution face recognition: a review,http://www.cvsslab.com/publication/116.pdf
251,MF Moens,"In this paper we report on our experiments on aligning names and faces as found in images
and captions of online news Websites. Developing accurate technologies for linking names
and faces is valuable when retrieving or mining information from multimedia collections. We …",13596757137935139008,48,Cross-media alignment of names and faces,http://www.ru.nl/publish/pages/544689/proceedings_dir2010.pdf#page=90
252,T Hospedales|YZ Song|CC Loy,"Heterogeneous face recognition (HFR) refers to matching face imagery across different
domains. It has received much interest from the research community as a result of its
profound implications in law enforcement. A wide variety of new invariant features, cross …",6030182071539626720,48,"A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution",https://arxiv.org/pdf/1409.5114
253,M Shao|S Xia|Y Fu,"In this paper, we consider a challenging problem raised in biometric recently, genealogical
face recognition. Practically, kinship can be proved via several methods, ie, gene match. We
argue in this paper that merely based on facial appearance can we present an accepted …",11228569925561062283,56,Genealogical face recognition based on ub kinface database,
254,Y Taigman|L Wolf,"We employ the face recognition technology developed in house at face. com to a well
accepted benchmark and show that without any tuning we are able to considerably surpass
state of the art results. Much of the improvement is concentrated in the high-valued …",17234441787217049803,49,Leveraging billions of faces to overcome performance barriers in unconstrained face recognition,https://arxiv.org/pdf/1108.1122
255,,"In this paper, a novel local pattern descriptor generated by the proposed local vector pattern
(LVP) in high-order derivative space is presented for use in face recognition. Based on the
vector of each pixel constructed by computing the values between the referenced pixel and …",16383406606109058284,68,A novel local pattern descriptor—local vector pattern in high-order derivative space for face recognition,https://ieeexplore.ieee.org/iel7/83/6819102/06809981.pdf
256,KA Toh,"Due to the rapid growth of social network services such as Facebook and Twitter,
incorporation of face recognition in these large-scale web services is attracting much
attention in both academia and industry. The major problem in such applications is to deal …",15735427729424966215,50,Incremental face recognition for large-scale social network services,
257,Y Xu|Z Zhang|G Lu|J Yang,"Though most of the faces are axis-symmetrical objects, few real-world face images are axis-
symmetrical images. In the past years, there are many studies on face recognition, but only
little attention is paid to this issue and few studies to explore and exploit the axis-symmetrical …",10460910168815412344,62,Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification,
258,H Han|AK Jain|S Shan,"Face attribute estimation has many potential applications in video surveillance, face
retrieval, and social media. While a number of methods have been proposed for face
attribute estimation, most of them did not explicitly consider the attribute correlation and …",3434468347319138443,48,Heterogeneous face attribute estimation: A deep multi-task learning approach,https://arxiv.org/pdf/1706.00906
259,BC Chen|YH Kuo|YY Chen,"We aim to develop a scalable face image retrieval system which can integrate with partial
identity information to improve the retrieval result. To achieve this goal, we first apply sparse
coding on local features extracted from face images combining with inverted indexing to …",3513463808360526133,49,Semi-supervised face image retrieval using sparse coding with identity constraint,http://www.cmlab.csie.ntu.edu.tw/~yanying/paper/msp022-chen.pdf
260,X Tan|S Chen|ZH Zhou,"Eye localization has gained a wide range of applications in face recognition, gaze
estimation, pose estimation, expression analysis, etc. However, due to the high degree of
appearance variability of eyes in size, shape, color, texture and various ambient …",17251416502350476348,52,A literature survey on robust and efficient eye localization in real-life scenarios,http://parnec.nuaa.edu.cn/xtan/paper/ED_survey0412.pdf
261,AT Tran|T Hassner|I Masi,"The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely
used for face recognition and always under controlled viewing conditions. We claim that this
is a symptom of a serious but often overlooked problem with existing methods for single view …",2591297000189902764,57,[PDF] Regressing robust and discriminative 3D morphable models with a very deep neural network,http://openaccess.thecvf.com/content_cvpr_2017/papers/Tran_Regressing_Robust_and_CVPR_2017_paper.pdf
262,J Lu|G Wang|W Deng|K Jia,"In this paper, we propose a reconstruction-based metric learning method to learn a
discriminative distance metric for unconstrained face verification. Unlike conventional metric
learning methods, which only consider the label information of training samples and ignore …",15678229767196368097,50,Reconstruction-based metric learning for unconstrained face verification,http://vipl.ict.ac.cn/homepage/rpwang/CVPR15Metric/ref/Reconstruction-Based%20Metric%20Learning%20for%20Unconstrained%20Face%20Verification_TIFS2015.pdf
263,,"Pairwise classification is the task to predict whether the examples a, b of a pair (a, b) belong
to the same class or to different classes. In particular, interclass generalization problems can
be treated in this way. In pairwise classification, the order of the two input examples should …",15222440214814888936,49,Pairwise support vector machines and their application to large scale problems,http://www.jmlr.org/papers/volume13/brunner12a/brunner12a.pdf
264,H Li|G Hua,"Pose variation remains one of the major factors adversely affect the accuracy of real-world
face recognition systems. Inspired by the recently proposed probabilistic elastic part (PEP)
model and the success of the deep hierarchical architecture in a number of visual tasks, we …",2561575549253829512,50,Hierarchical-pep model for real-world face recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Li_Hierarchical-PEP_Model_for_2015_CVPR_paper.pdf
265,I Marques,"The goal of this” proyecto fin de carrera” was to produce a review of the face detection and
face recognition literature as comprehensive as possible. Face detection was included as a
unavoidable preprocessing step for face recogntion, and as an issue by itself, because it …",8682547856388677263,54,[PDF] Face recognition algorithms,http://alweb.ehu.es/ccwintco/uploads/d/d2/PFC-IonMarqu%C3%A9s.pdf
266,Z Wang|S Chang|D Liu,"Visual recognition research often assumes a sufficient resolution of the region of interest
(ROI). That is usually violated in practice, inspiring us to explore the Very Low Resolution
Recognition (VLRR) problem. Typically, the ROI in a VLRR problem can be smaller than 16 …",11512989278363956953,72,Studying very low resolution recognition using deep networks,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Studying_Very_Low_CVPR_2016_paper.pdf
267,M Vatsa|R Singh,"Biometric fusion consolidates the output of multiple biometric classifiers to render a decision
about the identity of an individual. We consider the problem of designing a fusion scheme
when 1) the number of training samples is limited, thereby affecting the use of a purely …",4950084259267530132,50,On the dynamic selection of biometric fusion algorithms,https://www.researchgate.net/profile/Arun_Ross/publication/224153240_On_the_Dynamic_Selection_of_Biometric_Fusion_Algorithms/links/5471dd4a0cf216f8cfad205a.pdf
268,B Zhang|A Perina|V Murino,"The fact that image data samples lie on a manifold has been successfully exploited in many
learning and inference problems. In this paper we leverage the specific structure of data in
order to improve recognition accuracies in general recognition tasks. In particular we …",834309051675135327,48,Sparse representation classification with manifold constraints transfer,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zhang_Sparse_Representation_Classification_2015_CVPR_paper.pdf
269,L Zhang|D Zhang,"Conventional extreme learning machines (ELMs) solve a Moore-Penrose generalized
inverse of hidden layer activated matrix and analytically determine the output weights to
achieve generalized performance, by assuming the same loss from different types of …",14162144321809179442,61,Evolutionary cost-sensitive extreme learning machine,https://arxiv.org/pdf/1505.04373
270,J Lu|J Hu|VE Liong|X Zhou|A Bottino,"The aim of the Kinship Verification in the Wild Evaluation (held in conjunction with the 2015
IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana,
Slovenia) was to evaluate different kinship verification algorithms. For this task, two datasets …",7628878348835102201,53,The fg 2015 kinship verification in the wild evaluation,https://hal.archives-ouvertes.fr/hal-01158942/document
271,Y Gao|J Ma|AL Yuille,"This paper addresses the problem of face recognition when there is only few, or even only a
single, labeled examples of the face that we wish to recognize. Moreover, these examples
are typically corrupted by nuisance variables, both linear (ie, additive nuisance variables …",11030014895837834627,79,Semi-supervised sparse representation based classification for face recognition with insufficient labeled samples,https://arxiv.org/pdf/1609.03279
272,X Yin|X Liu,"This paper explores multi-task learning (MTL) for face recognition. First, we propose a multi-
task convolutional neural network (CNN) for face recognition, where identity classification is
the main task and pose, illumination, and expression (PIE) estimations are the side tasks …",11879927047309515996,44,Multi-task convolutional neural network for pose-invariant face recognition,https://arxiv.org/pdf/1702.04710
273,TY Lin|S Maji,"The recent explosive growth in convolutional neural network (CNN) research has produced
a variety of new architectures for deep learning. One intriguing new architecture is the
bilinear CNN (B-CNN), which has shown dramatic performance gains on certain fine …",4288122123327788434,43,One-to-many face recognition with bilinear cnns,https://arxiv.org/pdf/1506.01342
274,H Guo|Z Jiang|LS Davis,"In computer vision problems such as pair matching, only binary information-'same'or
'different'label for pairs of images-is given during training. This is in contrast to classification
problems, where the category labels of training images are provided. We propose a unified …",13323428696569664934,47,Discriminative dictionary learning with pairwise constraints,https://pdfs.semanticscholar.org/2d99/0b04c2bd61d3b7b922b8eed33aeeeb7b9359.pdf
275,N Cristianini,"The application of learning algorithms to big datasets has been identified for a long time as
an effective way to attack important tasks in pattern recognition, but the generation of large
annotated datasets has a significant cost. We present a simple and effective method to …",5709901266790956251,48,Learning to classify gender from four million images,
276,A Mignon|F Jurie,"This paper proposes a new approach for Cross Modal Matching, ie the matching of patterns
represented in di erent modalities, when pairs of same/di erent data are available for training
(eg faces of same/di erent persons). In this situation, standard approaches such as Partial …",1619360121272447205,51,CMML: a new metric learning approach for cross modal matching,https://hal.inria.fr/docs/00/80/60/82/PDF/12_ACCV_cmml.pdf
277,J Wang|Y Cheng|R Schmidt Feris,"The way people look in terms of facial attributes (ethnicity, hair color, facial hair, etc.) and the
clothes or accessories they wear (sunglasses, hat, hoodies, etc.) is highly dependent on geo-
location and weather condition, respectively. This work explores, for the first time, the use of …",2990940704877235260,59,Walk and learn: Facial attribute representation learning from egocentric video and contextual data,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wang_Walk_and_Learn_CVPR_2016_paper.pdf
278,T Mensink|J Verbeek,"In this paper we are interested in finding images of people on the web, and more specifically
within large databases of captioned news images. It has recently been shown that visual
analysis of the faces in images returned on a text-based query over captions can …",9527078389653089422,44,Improving people search using query expansions,https://hal.inria.fr/docs/00/32/10/45/PDF/verbeek08eccv.pdf
279,G Goswami|BM Powell|M Vatsa|R Singh,"With data theft and computer break-ins becoming increasingly common, there is a great
need for secondary authentication to reduce automated attacks while posing a minimal
hindrance to legitimate users. CAPTCHA is one of the possible ways to classify human users …",15882463363589129479,46,FaceDCAPTCHA: Face detection based color image CAPTCHA,http://iab-rubric.org/papers/faceDCaptcha.pdf
280,Y Sun|X Wang|X Tang,"This paper proposes to learn high-performance deep ConvNets with sparse neural
connections, referred to as sparse ConvNets, for face recognition. The sparse ConvNets are
learned in an iterative way, each time one additional layer is sparsified and the entire model …",2255856663648914492,59,Sparsifying neural network connections for face recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Sun_Sparsifying_Neural_Network_CVPR_2016_paper.pdf
281,Y Yang|Z Xu|S Yan,"Compared to visual concepts such as actions, scenes and objects, complex event is a
higher level abstraction of longer video sequences. For example, a"" marriage proposal""
event is described by multiple objects (eg, ring, faces), scenes (eg, in a restaurant, outdoor) …",10640210757115865564,46,How related exemplars help complex event detection in web videos?,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Yang_How_Related_Exemplars_2013_ICCV_paper.pdf
282,X Shu|J Tang|H Lai|S Yan,"In this paper, we aim to automatically render aging faces in a personalized way. Basically, a
set of age-group specific dictionaries are learned, where the dictionary bases corresponding
to the same index yet from different dictionaries form a particular aging process pattern cross …",5955604685008289183,55,Personalized age progression with aging dictionary,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Shu_Personalized_Age_Progression_ICCV_2015_paper.pdf
283,JZ Leibo|T Poggio,"One approach to computer object recognition and modeling the brain's ventral stream
involves unsupervised learning of representations that are invariant to common
transformations. However, applications of these ideas have usually been limited to 2D affine …",872124845696160309,44,Learning invariant representations and applications to face verification,http://papers.nips.cc/paper/5206-learning-invariant-representations-and-applications-to-face-verification.pdf
284,P Zhu|M Yang|L Zhang,"Face recognition with single sample per person (SSPP) is a very challenging task because
in such a scenario it is difficult to predict the facial variations of a query sample by the gallery
samples. Considering the fact that different parts of human faces have different importance …",17901419147851225349,53,Local generic representation for face recognition with single sample per person,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.702.5033&rep=rep1&type=pdf
285,X Wu|R He|Z Sun,"The volume of convolutional neural network (CNN) models proposed for face recognition
has been continuously growing larger to better fit the large amount of training data. When
training data are obtained from the Internet, the labels are likely to be ambiguous and …",8473894151493982595,116,A light CNN for deep face representation with noisy labels,https://arxiv.org/pdf/1511.02683
286,X Yu|F Zhou|M Chandraker,"We propose a novel cascaded framework, namely deep deformation network (DDN), for
localizing landmarks in non-rigid objects. The hallmarks of DDN are its incorporation of
geometric constraints within a convolutional neural network (CNN) framework, ease and …",6117019299209773329,57,Deep deformation network for object landmark localization,https://arxiv.org/pdf/1605.01014
287,J Roth|Y Tong|X Liu,"This paper presents an algorithm for unconstrained 3D face reconstruction. The input to our
algorithm is an"" unconstrained"" collection of face images captured under a diverse variation
of poses, expressions, and illuminations, without meta data about cameras or timing. The …",5899709155176305014,54,Unconstrained 3D face reconstruction,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Roth_Unconstrained_3D_Face_2015_CVPR_paper.pdf
288,L Best-Rowden|B Klare|J Klontz,"Face recognition in video is becoming increasingly important due to the abundance of video
data captured by surveillance cameras, mobile devices, Internet uploads, and other sources.
Given the aggregate of facial information contained in a video (ie, a sequence of face …",12317357450143589410,42,Video-to-video face matching: Establishing a baseline for unconstrained face recognition,https://www.researchgate.net/profile/Brendan_Klare/publication/261392307_Video-to-video_face_matching_Establishing_a_baseline_for_unconstrained_face_recognition/links/00b49537a121f8b49f000000.pdf
289,R Ranjan|CD Castillo|R Chellappa,"In recent years, the performance of face verification systems has significantly improved using
deep convolutional neural networks (DCNNs). A typical pipeline for face verification includes
training a deep network for subject classification with softmax loss, using the penultimate …",9446974904742343029,78,L2-constrained softmax loss for discriminative face verification,https://arxiv.org/pdf/1703.09507
290,R Wallace|M McLaren|C McCool,"This paper applies score and feature normalization techniques to parts-based Gaussian
mixture model (GMM) face authentication. In particular, we propose to utilize techniques that
are well established in state-of-the-art speaker authentication, and apply them to the face …",14942517329898265727,41,Cross-pollination of normalization techniques from speaker to face authentication using gaussian mixture models,https://infoscience.epfl.ch/record/192771/files/Wallace_Idiap-RR-03-2012.pdf
291,JR Beveridge|H Zhang|BA Draper,"This report presents results from the Video Person Recognition Evaluation held in
conjunction with the 11th IEEE International Conference on Automatic Face and Gesture
Recognition. Two experiments required algorithms to recognize people in videos from the …",11661329136609027026,40,Report on the FG 2015 video person recognition evaluation,https://www.researchgate.net/profile/Changxing_Ding/publication/283865383_Report_on_the_FG_2015_Video_Person_Recognition_Evaluation/links/5684e86b08ae19758394db0d.pdf
292,GB Huang|M Narayana,"In this paper, we argue that the most difficult face recognition problems (unconstrained face
recognition) will be solved by simultaneously leveraging the solutions to multiple vision
problems including segmentation, alignment, pose estimation, and the estimation of other …",2191092399747628077,42,Towards unconstrained face recognition,http://mplab.ucsd.edu/wordpress/wp-content/uploads/CVPR2008/WorkShops/data/papers/024.pdf
293,R Chellappa|VM Patel,"Face recognition in unconstrained acquisition conditions is one of the most challenging
problems that has been actively researched in recent years. It is well known that many state-
of-the-art still face recognition algorithms perform well, when constrained (frontal, well …",4944251030319594660,41,"Remote identification of faces: Problems, prospects, and progress",
294,C Shan,"Automatic face recognition has long been established as one of the most active research
areas in computer vision. Face recognition in unconstrained environments remains
challenging for most practical applications. In contrast to traditional still-image based …",2450015023309253414,48,Face recognition and retrieval in video,https://bi.snu.ac.kr/~scai/Courses/DMIR/files/face%20recog.pdf
295,A Tawari|MM Trivedi,"Driver's gaze direction is a critical information in understanding driver state. In this paper, we
present a distributed camera framework to estimate driver's coarse gaze direction using both
head and eye cues. Coarse gaze direction is often sufficient in a number of applications …",12892975296680284735,46,"[PDF] Where is the driver looking: Analysis of head, eye and iris for robust gaze zone estimation",http://cvrr.ucsd.edu/publications/2014/TawariChenTrivedi_ITSC2014.pdf
296,S Saito|T Li|H Li,"We introduce the concept of unconstrained real-time 3D facial performance capture through
explicit semantic segmentation in the RGB input. To ensure robustness, cutting edge
supervised learning approaches rely on large training datasets of face images captured in …",8046814433733306585,53,Real-time facial segmentation and performance capture from rgb input,https://arxiv.org/pdf/1604.02647
297,ZH Feng|G Hu|J Kittler|W Christmas,"A large amount of training data is usually crucial for successful supervised learning.
However, the task of providing training samples is often time-consuming, involving a
considerable amount of tedious manual work. In addition, the amount of training data …",7372703842346037438,43,Cascaded collaborative regression for robust facial landmark detection trained using a mixture of synthetic and real images with dynamic weighting,http://epubs.surrey.ac.uk/808177/1/Feng-TIP-2015.pdf
298,G Yovel|AJ O'Toole,"Natural movements of the face and body, as well as voice, provide converging cues to a
person's identity. To date, person recognition has been studied primarily with static images
of faces. Face recognition, however, is part of a larger system, whose preeminent goal is to …",11626145729037083299,39,Recognizing people in motion,https://people.socsci.tau.ac.il/mu/galityovel/files/2016/05/1-s2.0-S1364661316000462-main-3-1.pdf
299,A Sinha|S Li|G Barbastathis,"Deep learning has been proven to yield reliably generalizable solutions to numerous
classification and decision tasks. Here, we demonstrate for the first time to our knowledge
that deep neural networks (DNNs) can be trained to solve end-to-end inverse problems in …",10692018848059843782,88,Lensless computational imaging through deep learning,https://www.osapublishing.org/viewmedia.cfm?uri=optica-4-9-1117&seq=0
300,S Liu|J Yang|C Huang|MH Yang,"This paper formulates face labeling as a conditional random field with unary and pairwise
classifiers. We develop a novel multi-objective learning method that optimizes a single
unified deep convolutional network with two distinct non-structured loss functions: one …",15356629025747641038,53,Multi-objective convolutional learning for face labeling,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_paper.pdf
301,C Gong|T Liu|D Tao|K Fu|E Tu,"Graph Laplacian has been widely exploited in traditional graph-based semisupervised
learning (SSL) algorithms to regulate the labels of examples that vary smoothly on the
graph. Although it achieves a promising performance in both transductive and inductive …",3607257383694377617,53,Deformed graph Laplacian for semisupervised learning,https://tongliang-liu.github.io/papers/TNNLSDeformedGraphLaplacian.pdf
302,B Zhuang|G Lin|C Shen|I Reid,"In this paper, we aim to learn a mapping (or embedding) from images to a compact binary
space in which Hamming distances correspond to a ranking measure for the image retrieval
task. We make use of a triplet loss because this has been shown to be most effective for …",6763639389637362389,55,Fast training of triplet-based deep binary embedding networks,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhuang_Fast_Training_of_CVPR_2016_paper.pdf
303,F Alnajar|C Shan|T Gevers|JM Geusebroek,"In this paper we propose to adopt a learning-based encoding method for age estimation
under unconstrained imaging conditions. A similar approach [Cao et al., 2010] is applied to
face recognition in real-life face images. However, the feature vectors are encoded in hard …",1242174716130318426,42,Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions,https://staff.fnwi.uva.nl/th.gevers/pub/GeversIVC2012.pdf
304,UKH Ecker|S Lewandowsky|EP Chang,"Abstract Information presented in news articles can be misleading without being blatantly
false. Experiment 1 examined the effects of misleading headlines that emphasize secondary
content rather than the article's primary gist. We investigated how headlines affect readers' …",1340496460456092788,60,The effects of subtle misinformation in news headlines.,https://www.researchgate.net/profile/Ullrich_Ecker/publication/264428502_The_Effects_of_Subtle_Misinformation_in_News_Headlines/links/53df3d1b0cf2cfac99295eb5.pdf
305,X Yu|F Porikli,"Conventional face super-resolution methods, also known as face hallucination, are limited
up to 2\! ∼\! 4 * 2∼ 4× scaling factors where 4 ∼ 16 4∼ 16 additional pixels are estimated
for each given pixel. Besides, they become very fragile when the input low-resolution image …",6013177615870836548,58,Ultra-resolving face images by discriminative generative networks,https://pdfs.semanticscholar.org/d6f1/42f5ddcb027e7b346eb20703abbf5cc4e883.pdf
306,F Juefei-Xu|K Luu|M Savvides,"In this paper, we investigate a single-sample periocular-based alignment-robust face
recognition technique that is pose-tolerant under unconstrained face matching scenarios.
Our Spartans framework starts by utilizing one single sample per subject class, and …",18100032828990571742,48,[PDF] Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios,https://www.researchgate.net/profile/Felix_Juefei-Xu/publication/281141250_Spartans_Single-Sample_Periocular-Based_Alignment-Robust_Recognition_Technique_Applied_to_Non-Frontal_Scenarios/links/59238abb0f7e9b9979475a87/Spartans-Single-Sample-Periocular-Based-Alignment-Robust-Recognition-Technique-Applied-to-Non-Frontal-Scenarios.pdf
307,X Tan|S Chen,"In this paper, we present a novel approach to deal with the problem of detecting whether the
eyes in a given still face image are closed, which has wide potential applications in human–
computer interface design, facial expression recognition, driver fatigue detection, and so on …",7190083218776844518,57,Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.675.4628&rep=rep1&type=pdf
308,,"Despite the importance of rigorous testing data for evaluating face recognition algorithms, all
major publicly available faces-in-the-wild datasets are constrained by the use of a
commodity face detector, which limits, among other conditions, pose, occlusion, expression …",8878846621376471154,39,[PDF] IARPA Janus Benchmark-B Face Dataset.,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Whitelam_IARPA_Janus_Benchmark-B_CVPR_2017_paper.pdf
309,S Gao|K Jia|L Zhuang|Y Ma,"This paper presents a regularized patch-based representation for single sample per person
face recognition. We represent each image by a collection of patches and seek their sparse
representations under the gallery images patches and intra-class variance dictionaries at …",8607551683776480176,45,Neither global nor local: Regularized patch-based representation for single sample per person face recognition,http://staff.ustc.edu.cn/~lszhuang/Doc/2014-IJCV-Gao.pdf
310,F Wang|LJ Guibas,"Abstract The Earth Mover's Distance (EMD) is an intuitive and natural distance metric for
comparing two histograms or probability distributions. It provides a distance value as well as
a flow-network indicating how the probability mass is optimally transported between the …",13186095557557986013,46,Supervised earth mover's distance learning and its computer vision applications,https://www.researchgate.net/profile/Leonidas_Guibas/publication/262331794_Supervised_Earth_Mover's_Distance_Learning_and_Its_Computer_Vision_Applications/links/5704098008ae74a08e245e66/Supervised-Earth-Movers-Distance-Learning-and-Its-Computer-Vision-Applications.pdf
311,Y Wen|Y Qiao,"While considerable progresses have been made on face recognition, age-invariant face
recognition (AIFR) still remains a major challenge in real world applications of face
recognition systems. The major difficulty of AIFR arises from the fact that the facial …",7269259464751818336,56,Latent factor guided convolutional neural networks for age-invariant face recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Wen_Latent_Factor_Guided_CVPR_2016_paper.pdf
312,BM Smith|L Zhang|J Brandt|Z Lin,"In this work, we propose an exemplar-based face image segmentation algorithm. We take
inspiration from previous works on image parsing for general scenes. Our approach
assumes a database of exemplar face images, each of which is associated with a hand …",2082922774412117566,53,Exemplar-based face parsing,https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Smith_Exemplar-Based_Face_Parsing_2013_CVPR_paper.pdf
313,J Ylioinas|A Hadid|M Pietikäinen,"Recent developments in face analysis showed that local binary patterns (LBP) provide
excellent results in representing faces. LBP is by definition a purely gray-scale invariant
texture operator, codifying only the facial patterns while ignoring the magnitude of gray level …",953903703737999750,39,Combining contrast information and local binary patterns for gender classification,https://link.springer.com/content/pdf/10.1007/978-3-642-21227-7_63.pdf
314,,"Face verification is the task of determining by analyzing face images, whether a person is
who he/she claims to be. It is a very challenge problem, due to large variations in lighting,
background, expression, hairstyle and occlusion. The crucial problem is to compute the …",1855245380036067361,46,Deep nonlinear metric learning with independent subspace analysis for face verification,http://ir.ia.ac.cn/bitstream/173211/5145/1/201018014628026_004.pdf
315,C Huang|SK Shah,"Facial landmark detection is a fundamental step for many tasks in computer vision such as
expression recognition and face alignment. In this paper, we focus on the detection of
landmarks under realistic scenarios that include pose, illumination and expression …",12998497478525097816,38,Facial landmark detection in uncontrolled conditions,
316,C Kading|A Freytag|E Rodner,"Current visual recognition algorithms are"" hungry"" for data but massive annotation is
extremely costly. Therefore, active learning algorithms are required that reduce labeling
efforts to a minimum by selecting examples that are most valuable for labeling. In active …",14108534501853600395,43,Active learning and discovery of object categories in the presence of unnameable instances,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Kading_Active_Learning_and_2015_CVPR_paper.pdf
317,MJ Wilber|IS Kwak|SJ Belongie,"Similarity comparisons of the form"" Is object a more similar to b than to c?"" form a useful
foundation in several computer vision and machine learning applications. Unfortunately, an
embedding of n points is only uniquely specified by n 3 triplets, making collecting every …",36818680511223233,48,Cost-effective hits for relative similarity comparisons,http://www.aaai.org/ocs/index.php/HCOMP/HCOMP14/paper/download/8954/8973
318,AM Martinez,"We propose an approach to shape detection of highly deformable shapes in images via
manifold learning with regression. Our method does not require shape key points be defined
at high contrast image regions, nor do we need an initial estimate of the shape. We only …",12474667838482893433,37,Learning deformable shape manifolds,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3269915/
319,D Wang|H Lu|MH Yang,"Recent research has demonstrated the effectiveness of linear representation (ie, sparse
representation, group sparse representation and collaborative representation) for face
recognition and other vision problems. However, this linear representation assumption does …",10466788628320979205,44,Kernel collaborative face recognition,https://fardapaper.ir/mohavaha/uploads/2017/09/2015-Kernel-collaborative-face-recognition.pdf
320,M Yang|L Zhang|D Zhang,"Sparse representation techniques for robust face recognition have been widely studied in
the past several years. Recently face recognition with simultaneous misalignment, occlusion
and other variations has achieved interesting results via robust alignment by sparse …",6193759840897900786,36,Efficient misalignment-robust representation for real-time face recognition,http://azadproject.ir/wp-content/uploads/2014/07/2012-Efficient-Misalignment-Robust-Representation-for-Real-Time-Face-Recognition.pdf
321,,"In view of the theoretical and practical value of local binary pattern (LBP), the various LBP
methods in texture analysis and classification, face analysis and recognition, and other
detection applications are reviewed. Firstly, the principle of LBP method is briefly discussed …",12737688711847650070,38,Research and perspective on local binary pattern,https://www.researchgate.net/profile/Ke_Chen_Song/publication/259166826_Research_and_Perspective_on_Local_Binary_Pattern/links/5a4eca9c0f7e9bbfacfc3900/Research-and-Perspective-on-Local-Binary-Pattern.pdf
322,Y Zhu|G Guo,"Age estimation from facial images is an important problem in computer vision and pattern
recognition. Typically the goal is to predict the chronological age of a person given his or her
face picture. It is seldom to study a related problem, that is, how old does a person look like …",13510422096229572529,44,A study on apparent age estimation,https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Zhu_A_Study_on_ICCV_2015_paper.pdf
323,Y Zhang|M Shao|EK Wong|Y Fu,"One of the most challenging task in face recognition is to identify people with varied poses.
Namely, the test faces have significantly different poses compared with the registered faces.
In this paper, we propose a high-level feature learning scheme to extract pose-invariant …",11351505266959754866,42,Random faces guided sparse many-to-one encoder for pose-invariant face recognition,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhang_Random_Faces_Guided_2013_ICCV_paper.pdf
324,Y Duan|J Lu|J Feng,"In this paper, we propose a context-aware local binary feature learning (CA-LBFL) method
for face recognition. Unlike existing learning-based local face descriptors such as
discriminant face descriptor (DFD) and compact binary face descriptor (CBFD) which learn …",12709295471049374367,36,Context-aware local binary feature learning for face recognition,
325,G Antipov|SA Berrani|JL Dugelay,"Despite being extensively studied in the literature, the problem of gender recognition from
face images remains difficult when dealing with unconstrained images in a cross-dataset
protocol. In this work, we propose a convolutional neural network ensemble model to …",15635701151696686923,43,Minimalistic CNN-based ensemble model for gender prediction from face images,http://www.eurecom.fr/en/publication/4768/download/mm-publi-4768.pdf
326,Y Xu|J Yang|L Shen,"A common intrinsic limitation of the traditional subspace learning methods is the sensitivity to
the outliers and the image variations of the object since they use the L 2 norm as the metric.
In this paper, a series of methods based on the L 2, 1-norm are proposed for linear …",18247012053665609632,34,Rotational invariant dimensionality reduction algorithms,
327,S Saxena|J Verbeek,"Despite the success of CNNs, selecting the optimal architecture for a given task remains an
open problem. Instead of aiming to select a single optimal architecture, we propose
a``fabric''that embeds an exponentially large number of architectures. The fabric consists of …",13382878732736797647,59,Convolutional neural fabrics,http://papers.nips.cc/paper/6304-convolutional-neural-fabrics.pdf
328,M Haghighat|M Abdel-Mottaleb,"Single sample face recognition have become an important problem because of the
limitations on the availability of gallery images. In many real-world applications such as
passport or driver license identification, there is only a single facial image per subject …",9711043743365929871,52,Fully automatic face normalization and single sample face recognition in unconstrained environments,http://www.walhalabi.com/Papers/2016%20APR%20Fully%20automatic%20face%20normalization%20and%20single%20sample%20face%20recognitionin.pdf
329,SJ Klum|H Han|BF Klare,"Facial composites are widely used by law enforcement agencies to assist in the
identification and apprehension of suspects involved in criminal activities. These
composites, generated from witness descriptions, are posted in public places and media …",1519742293727527760,41,The FaceSketchID system: Matching facial composites to mugshots,http://vipl.ict.ac.cn/uploadfile/upload/2017020711082379.pdf
330,R Ranjan|A Kumar|CH Chen,"In this paper, we present an end-to-end system for the unconstrained face verification
problem based on deep convolutional neural networks (DCNN). The end-to-end system
consists of three modules for face detection, alignment and verification and is evaluated …",16361817541243184434,54,An end-to-end system for unconstrained face verification with deep convolutional neural networks,https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Chen_An_End-To-End_System_ICCV_2015_paper.pdf
331,Y Li|K Xu|Y Li|RH Deng,"Face authentication is one of promising biometrics-based user authentication mechanisms
that have been widely available in this era of mobile computing. With built-in camera
capability on smart phones, tablets, and laptops, face authentication provides an attractive …",1476252151704296505,37,Understanding OSN-based facial disclosure against face authentication systems,
332,A Houacine,"Face detection is now a classical problem in detection, and it was addressed through
several methods, including global comprehensive image scanning and structural
approaches that focus on the facial structures. Face detection is considered in this paper …",3489612252193384935,35,Face detection based on a model of the skin color with constraints and template matching,
333,Y Wu|T Hassner|KG Kim|G Medioni,"This paper concerns the problem of facial landmark detection. We provide a unique new
analysis of the features produced at intermediate layers of a convolutional neural network
(CNN) trained to regress facial landmark coordinates. This analysis shows that while being …",7440291791962491347,34,Facial landmark detection with tweaked convolutional neural networks,https://arxiv.org/pdf/1511.04031
334,T Hassner,"Understanding human actions in videos has been a central research theme in Computer
Vision for decades, and much progress has been achieved over the years. Much of this
progress was demonstrated on standard benchmarks used to evaluate novel techniques …",12761386389945580592,38,A critical review of action recognition benchmarks,https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W01/papers/Hassner_A_Critical_Review_2013_CVPR_paper.pdf
335,F Liu|Q Zhao|X Liu,"We present an approach to simultaneously solve the two problems of face alignment and 3D
face reconstruction from an input 2D face image of arbitrary poses and expressions. The
proposed method iteratively and alternately applies two sets of cascaded regressors, one for …",8914136591703514739,48,Joint face alignment and 3d face reconstruction,http://cvlab.cse.msu.edu/pdfs/Liu_Zeng_Zhao_Liu_ECCV2016.pdf
336,G Guo,"Collecting demographic information from the customers, such as age and sex, is very
important for marketing and customer group analysis. For instance, the marketing study has
an interest to know how many people visited a shopping mall, and what is the distribution of …",2810987046440988746,40,Human age estimation and sex classification,
337,S Shan|X Chen|L Zhang,"Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-
projection tree based previous methods, sparsity constraint is introduced in our dictionary
learning and sequent image encoding, which implies more stable and discriminative face …",18414596897771278808,35,[PDF] Sparsely Encoded Local Descriptor for face recognition.,https://www.researchgate.net/profile/Zhen_Cui4/publication/224238132_Sparsely_Encoded_Local_Descriptor_for_face_recognition/links/53fd34910cf22f21c2f7de8c.pdf
338,KM Lam,"In video surveillance, the captured face images are usually of low resolution (LR). Thus, a
framework based on singular value decomposition (SVD) for performing both face
hallucination and recognition simultaneously is proposed in this paper. Conventionally, LR …",4927217562138822563,42,Simultaneous hallucination and recognition of low-resolution faces based on singular value decomposition,http://kresttechnology.com/krest-academic-projects/krest-mtech-projects/ECE/MTech%20DSP%202015-16/MTech%20DSP%20BasePaper%202015-16/50.pdf
339,Y Peng|X Huang,"Multimedia retrieval plays an indispensable role in big data utilization. Past efforts mainly
focused on single-media retrieval. However, the requirements of users are highly flexible,
such as retrieving the relevant audio clips with one query of image. So challenges stemming …",3646228632698519073,33,"An Overview of Cross-Media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges",https://arxiv.org/pdf/1704.02223
340,A Punnappurath|AN Rajagopalan,"Existing methods for performing face recognition in the presence of blur are based on the
convolution model and cannot handle non-uniform blurring situations that frequently arise
from tilts and rotations in hand-held cameras. In this paper, we propose a methodology for …",17593958085481709250,38,"Face recognition across non-uniform motion blur, illumination, and pose",http://ieeeprojectsmadurai.com/2015-16%20IEEE%20PAPERS/matlab(image%20processing)/matlab%20basepaper/Face%20Recognition%20Across%20Non-Uniform%20Motion.pdf
341,A Bulat|G Tzimiropoulos,"This paper investigates how far a very deep neural network is from attaining close to
saturating performance on existing 2D and 3D face alignment datasets. To this end, we
make the following 5 contributions:(a) we construct, for the first time, a very strong baseline …",253169461545193453,98,"[PDF] How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks)",http://openaccess.thecvf.com/content_ICCV_2017/papers/Bulat_How_Far_Are_ICCV_2017_paper.pdf
342,S Zafeiriou|GA Atkinson|MF Hansen,"This paper presents a new database suitable for both 2D and 3D face recognition based on
photometric stereo (PS): the Photoface database. The database was collected using a
custom-made four-source PS device designed to enable data capture with minimal …",13570048328411967591,36,Face recognition and verification using photometric stereo: The photoface database and a comprehensive evaluation,http://eprints.uwe.ac.uk/21130/1/revised.pdf
343,R Weng|J Lu|J Hu|YP Tan,"Over the past two decades, a number of face recognition methods have been proposed in
the literature. Most of them use holistic face images to recognize people. However, human
faces are easily occluded by other objects in many real-world scenarios and we have to …",12700226906133861633,33,Robust feature set matching for partial face recognition,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Weng_Robust_Feature_Set_2013_ICCV_paper.pdf
344,D Gong|D Tao|J Liu|X Li,"In this paper, we propose a new approach to overcome the representation and matching
problems in age invariant face recognition. First, a new maximum entropy feature descriptor
(MEFD) is developed that encodes the microstructure of facial images into a set of discrete …",5768073494061899990,38,A maximum entropy feature descriptor for age invariant face recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Gong_A_Maximum_Entropy_2015_CVPR_paper.pdf
345,Y Yang|S Liao|Z Lei|SZ Li,"In this paper, we propose a novel similarity measure and then introduce an efficient strategy
to learn it by using only similar pairs for person verification. Unlike existing metric learning
methods, we consider both the difference and commonness of an image pair to increase its …",18432636632155659291,39,[PDF] Large Scale Similarity Learning Using Similar Pairs for Person Verification.,http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/download/12204/12143
346,,"Many algorithms for computer vision rely on locating interest points, or keypoints in each
image, and calculating a feature description from the pixel region surrounding the interest
point. This is in contrast to methods such as correlation, where a larger rectangular pattern is …",10606914603599151106,47,Interest point detector and feature descriptor survey,https://pdfs.semanticscholar.org/30fb/3ccc03edc91b08f1d09198e81e1bab5dd4e6.pdf
347,A Hernández-Vela|M Reyes|V Ponce|S Escalera,"In this paper, we present a fully-automatic Spatio-Temporal GrabCut human segmentation
methodology that combines tracking and segmentation. GrabCut initialization is performed
by a HOG-based subject detection, face detection, and skin color model. Spatial information …",4882906564973657337,37,[HTML] Grabcut-based human segmentation in video sequences,https://www.mdpi.com/1424-8220/12/11/15376htm
348,J Chen,"Face image quality is an important factor affecting the accuracy of automatic face
recognition. It is usually possible for practical recognition systems to capture multiple face
images from each subject. Selecting face images with high quality for recognition is a …",13668087655868369293,42,Face image quality assessment based on learning to rank,https://www.researchgate.net/profile/Jiansheng_Chen/publication/265016758_Face_Image_Quality_Assessment_Based_on_Learning_to_Rank/links/546d662d0cf2193b94c5852b.pdf
349,J Qian|J Yang|Y Xu,"This paper presents a robust but simple image feature extraction method, called image
decomposition based on local structure (IDLS). It is assumed that in the local window of an
image, the macro-pixel (patch) of the central pixel, and those of its neighbors, are locally …",3293500122833913648,34,Local structure-based image decomposition for feature extraction with applications to face recognition,
350,JY Zhu|YJ Lee|AA Efros,"This paper proposes an interactive framework that allows a user to rapidly explore and
visualize a large image collection using the medium of average images. Average images
have been gaining popularity as means of artistic expression and data visualization, but the …",6453716516522782511,36,Averageexplorer: Interactive exploration and alignment of visual data collections,http://graphics.berkeley.edu/papers/Zhu-AIE-2014-07/Zhu-AIE-2014-07.pdf
351,X Yin|X Yu|K Sohn|X Liu|M Chandraker,"Despite recent advances in face recognition using deep learning, severe accuracy drops are
observed for large pose variations in unconstrained environments. Learning poseinvariant
features is one solution, but needs expensively labeled large-scale data and carefully …",9877478657623787150,62,[PDF] Towards large-pose face frontalization in the wild,http://openaccess.thecvf.com/content_ICCV_2017/papers/Yin_Towards_Large-Pose_Face_ICCV_2017_paper.pdf
352,G Chiachia|AX Falcao|N Pinto,"Humans are natural face recognition experts, far out-performing current automated face
recognition algorithms, especially in naturalistic,“in the wild” settings. However, a striking
feature of human face recognition is that we are dramatically better at recognizing highly …",6937820170324246011,34,Learning person-specific representations from faces in the wild,
353,Z Huang|S Shan,"In this paper, we explore the real-world Still-to-Video (S2V) face recognition scenario, where
only very few (single, in many cases) still images per person are enrolled into the gallery
while it is usually possible to capture one or multiple video clips as probe. Typical …",18404293402282177573,33,Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on cox-s2v dataset,http://www.jdl.ac.cn/doc/2011/20131910584927320_012_accv_zwhuang_benchmarking%20still-to-video%20face%20recognition%20via%20partial%20and%20local%20linear%20discriminant%20analysis%20on%20cox-s2v%20dataset.pdf
354,H Yan|J Lu|X Zhou,"This paper presents a Multi-feature Multi-Manifold Learning (M 3 L) method for single-
sample face recognition (SSFR). While numerous face recognition methods have been
proposed over the past two decades, most of them suffer a heavy performance drop or even …",11331848542404892221,36,Multi-feature multi-manifold learning for single-sample face recognition,
355,Y Verma|CV Jawahar,"The notion of relative attributes as introduced by Parikh and Grauman (ICCV, 2011) provides
an appealing way of comparing two images based on their visual properties (or attributes)
such as"" smiling"" for face images,"" naturalness"" for outdoor images, etc. For learning such …",6038582550929114520,34,Relative parts: Distinctive parts for learning relative attributes,https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Sandeep_Relative_Parts_Distinctive_2014_CVPR_paper.pdf
356,X Wang|R Zhao,"Person re-identification has important applications in video surveillance. It is particularly
challenging because observed pedestrians undergo significant variations across camera
views, and there are a large number of pedestrians to be distinguished given small …",6275409826573752984,37,Person re-identification: System design and evaluation overview,http://www.ee.cuhk.edu.hk/~xgwang/papers/wangZreid.pdf
357,L Best-Rowden|JC Klontz,"Research focus in face recognition has shifted towards recognition of faces “in the wild” for
both still images and videos which are captured in unconstrained imaging environments and
without user cooperation. Due to confounding factors of pose, illumination, and expression …",3384775825964425122,36,Unconstrained face recognition: Establishing baseline human performance via crowdsourcing,http://biometrics.cse.msu.edu/Publications/Face/BestrowdenBishtKlontzJain_CrowdsourcingHumanPeformance_IJCB2014.pdf
358,JR Troncoso-Pastoriza,"Face recognition is one of the foremost applications in computer vision, which often involves
sensitive signals; privacy concerns have been raised lately and tackled by several recent
privacy-preserving face recognition approaches. Those systems either take advantage of …",15864586998588189002,38,Fully private noninteractive face verification,http://gpsc.uvigo.es/sites/default/files/publications/TPFJPGTIFS11-FullyPrivateFaceVerif.pdf
359,X Xu|W Li|D Xu,"In this paper, we propose a new approach to improve face verification and person re-
identification in the RGB images by leveraging a set of RGB-D data, in which we have
additional depth images in the training data captured using depth cameras such as Kinect …",2840410011860574392,40,Distance metric learning using privileged information for face verification and person re-identification,http://www.vision.ee.ethz.ch/~liwenw/papers/Xu_TNNLS2015.pdf
360,M Günther|R Wallace|S Marcel,"In this paper we introduce the facereclib, the first software library that allows to compare a
variety of face recognition algorithms on most of the known facial image databases and that
permits rapid prototyping of novel ideas and testing of meta-parameters of face recognition …",14521783031843468480,32,An open source framework for standardized comparisons of face recognition algorithms,https://infoscience.epfl.ch/record/192440/files/Gunther_Idiap-RR-29-2012.pdf
361,L Wolf,"A join is a set of manuscript-fragments that are known to originate from the same original
work. The Cairo Genizah is a collection containing approximately 350,000 fragments of
mainly Jewish texts discovered in the late 19th century. The fragments are today spread out …",10104614983253936261,32,Identifying join candidates in the Cairo Genizah,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.174.7676&rep=rep1&type=pdf
362,L Zhang|T Jung|XY Li,"Facing a large number of personal photos and limited resource of mobile devices, cloud
plays an important role in photo storing, sharing and searching. Meanwhile, some recent
reputation damage and stalk events caused by photo leakage increase people's concern …",13172344547619069450,39,Pop: Privacy-preserving outsourced photo sharing and searching for mobile devices,http://tns.thss.tsinghua.edu.cn/~cihangliu/papers/pop.pdf
363,Y Xu|J Yang|D Zhang,"Locality and label information of training samples play an important role in image
classification. However, previous dictionary learning algorithms do not take the locality and
label information of atoms into account together in the learning process, and thus their …",1265884562842773913,50,A locality-constrained and label embedding dictionary learning algorithm for image classification,
364,A Datta|R Feris|D Vaquero,"We propose a novel hierarchical structured prediction approach for ranking images of faces
based on attributes. We view ranking as a bipartite graph matching problem; learning to rank
under this setting can be achieved through structured prediction techniques that directly …",4574949770151905430,35,Hierarchical ranking of facial attributes,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.227.4366&rep=rep1&type=pdf
365,W Rawat|Z Wang,"Convolutional neural networks (CNNs) have been applied to visual tasks since the late
1980s. However, despite a few scattered applications, they were dormant until the mid-
2000s when developments in computing power and the advent of large amounts of labeled …",17428665317973389220,123,Deep convolutional neural networks for image classification: A comprehensive review,https://www.mitpressjournals.org/doi/full/10.1162/neco_a_00990
366,M Oquab,"The goal of two-sample tests is to assess whether two samples, $ S_P\sim P^ n $ and $
S_Q\sim Q^ m $, are drawn from the same distribution. Perhaps intriguingly, one relatively
unexplored method to build two-sample tests is the use of binary classifiers. In particular …",12680900003954123128,45,Revisiting classifier two-sample tests,https://arxiv.org/pdf/1610.06545
367,H Han|AK Jain,"One of the major challenges encountered by face recognition lies in the difficulty of handling
arbitrary poses variations. While different approaches have been developed for face
recognition across pose variations, many methods either require manual landmark …",3755498769312655530,34,Automatic multi-view face recognition via 3D model based pose regularization,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.389.8614&rep=rep1&type=pdf
368,R Ptucha,"Sparse representations, motivated by strong evidence of sparsity in the primate visual
cortex, are gaining popularity in the computer vision and pattern recognition fields, yet
sparse methods have not gained widespread acceptance in the facial understanding …",2844576772085475815,31,Manifold based sparse representation for facial understanding in natural images,
369,JZ Leibo|TA Poggio,"Gradient backpropagation (BP) requires symmetric feedforward and feedback connections—
the same weights must be used for forward and backward passes. This “weight transport
problem”(Grossberg 1987) is thought to be one of the main reasons to doubt BP's …",5794819233485667753,44,[PDF] How important is weight symmetry in backpropagation?,http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/download/12325/11812
370,L Zhang|H Liu|S Yan,"We investigate large-scale face identification in unconstrained videos with 1000 subjects.
This problem is very challenging, and until now most studies have only considered the
scenarios with a small number of subjects and videos captured in controlled laboratory …",17319929764087223989,33,Toward large-population face identification in unconstrained videos,
371,J Tapia|P Estévez,"In this article we report a new method for gender classification from frontal face images using
feature selection based on mutual information and fusion of features extracted from intensity,
shape, texture, and from three different spatial scales. We compare the results of three …",12722805935468719923,33,Gender classification from face images using mutual information and feature fusion,https://www.tandfonline.com/doi/full/10.1080/15599612.2012.663463
372,Ž Emeršič|V Štruc|P Peer,"Automatic identity recognition from ear images represents an active field of research within
the biometric community. The ability to capture ear images from a distance and in a covert
manner makes the technology an appealing choice for surveillance and security …",15397686910082361951,56,Ear recognition: More than a survey,https://arxiv.org/pdf/1611.06203
373,S Sengupta|C Castillo,"We have collected a new face data set that will facilitate research in the problem of frontal to
profile face verificationin the wild'. The aim of this data set is to isolate the factor of pose
variation in terms of extreme poses like profile, where many features are occluded, along …",5060755442543001331,42,Frontal to profile face verification in the wild,https://pdfs.semanticscholar.org/1001/05d6c97b23059f7aa70589ead2f61969fbc3.pdf
374,M Tan|D Xu|ZY Dong,"Recently, low-rank representation (LRR) has shown promising performance in many real-
world applications such as face clustering. However, LRR may not achieve satisfactory
results when dealing with the data from nonlinear subspaces, since it is originally designed …",10953943137833272998,44,Robust kernel low-rank representation,
375,SJ Oh|R Benenson|M Fritz|B Schiele,"As we shift more of our lives into the virtual domain, the volume of data shared on the web
keeps increasing and presents a threat to our privacy. This works contributes to the
understanding of privacy implications of such data sharing by analysing how well people are …",16442007174639645171,39,Faceless person recognition: Privacy implications in social media,https://arxiv.org/pdf/1607.08438
376,D Wang|C Otto|AK Jain,"Given the prevalence of social media websites, one challenge facing computer vision
researchers is to devise methods to search for persons of interest among the billions of
shared photos on these websites. Despite significant progress in face recognition, searching …",5961110190177226608,54,Face Search at Scale.,http://biometrics.cse.msu.edu/Publications/Face/WangOttoJain_FaceSearchAtScale_TPAMI.pdf
377,C Sagonas|Y Panagakis|S Zafeiriou,"Recently, it has been shown that excellent results can be achieved in both facial landmark
localization and pose-invariant face recognition. These breakthroughs are attributed to the
efforts of the community to manually annotate facial images in many different poses and to …",13841686304281668916,38,Robust statistical face frontalization,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Sagonas_Robust_Statistical_Face_ICCV_2015_paper.pdf
378,Y Mroueh|T Sercu|V Goel,"We introduce new families of Integral Probability Metrics (IPM) for training Generative
Adversarial Networks (GAN). Our IPMs are based on matching statistics of distributions
embedded in a finite dimensional feature space. Mean and covariance feature matching …",6080524162434255745,47,McGan: Mean and covariance feature matching GAN,https://arxiv.org/pdf/1702.08398
379,A Bansal|CD Castillo|R Ranjan,"While the research community appears to have developed a consensus on the methods of
acquiring annotated data, design and training of CNNs, many questions still remain to be
answered. In this paper, we explore the following questions that are critical to face …",16583671830808674747,29,[PDF] The Do's and Don'ts for CNN-based Face Verification.,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Bansal_The_Dos_and_ICCV_2017_paper.pdf
380,F Shen|C Shen|Y Yang|HT Shen,"We propose a very simple, efficient yet surprisingly effective feature extraction method for
face recognition (about 20 lines of Matlab codes), which is mainly inspired by spatial
pyramid pooling in generic image classification. We show that, coupled with a linear …",13204553865791226662,32,Face image classification by pooling raw features,https://arxiv.org/pdf/1406.6811
381,R Aly|R Arandjelovic|K Chatfield|M Douze,"The AXES project participated in the interactive instance search task (INS), the semantic
indexing task (SIN) the multimedia event recounting task (MER), and the multimedia event
detection task (MED) for TRECVid 2013. Our interactive INS focused this year on using …",12970299473339244798,30,The AXES submissions at TrecVid 2013,https://hal.inria.fr/hal-00904404/document
382,Y Kim,"Recently, face recognition (FR) based on always-on CIS has been investigated for the next-
generation UI/UX of wearable devices. A FR system, shown in Fig. 14.6. 1, was developed
as a life-cycle analyzer or a personal black box, constantly recording the people we meet …",17094910280557158221,40,14.6 A 0.62 mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector,
383,MÁ Bautista|S Escalera|X Baró|P Radeva,"The classification of large number of object categories is a challenging trend in the pattern
recognition field. In literature, this is often addressed using an ensemble of classifiers. In this
scope, the Error-correcting output codes framework has demonstrated to be a powerful tool …",9299100500804944708,31,Minimal design of error-correcting output codes,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.300.632&rep=rep1&type=pdf
384,G Somanath|MV Rohith,"Analysis of face images has been the topic of in-depth research with wide spread
applications. Face recognition, verification, age progression studies are some of the topics
under study. In order to facilitate comparison and benchmarking of different approaches …",16938905906689382673,28,Vadana: A dense dataset for facial image analysis,https://www.computer.org/csdl/proceedings/iccvw/2011/0063/00/06130517.pdf
385,C Zhao|WK Cham|X Wang,"As having multiple images of an object is practically convenient nowadays, to jointly align
them is important for subsequent studies and a wide range of applications. In this paper, we
propose a model-based approach to jointly align a batch of images of a face undergoing a …",4767776529131078046,30,Joint face alignment with a generic deformable face model,
386,M Kafai|B Bhanu,"Face recognition has been studied extensively; however, real-world face recognition still
remains a challenging task. The demand for unconstrained practical face recognition is
rising with the explosion of online multimedia such as social networks, and video …",16407686721415608361,31,Reference face graph for face recognition,
387,J Lu|V Erin Liong,"In this paper, we propose a simultaneous local binary feature learning and encoding
(SLBFLE) method for face recognition. Different from existing hand-crafted face descriptors
such as local binary pattern (LBP) and Gabor features which require strong prior knowledge …",16156138329588200720,30,Simultaneous local binary feature learning and encoding for face recognition,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Lu_Simultaneous_Local_Binary_ICCV_2015_paper.pdf
388,L Zhang|Y Hu|X He|J Gao,"Face recognition, as one of the most well-studied problems in computer vision, consists of
two subproblems, verification and identification. Face verification is to determine whether
two given face images belong to the same person, while face identification is typically to …",11441397878284850109,35,Ms-celeb-1m: Challenge of recognizing one million celebrities in the real world,https://www.ingentaconnect.com/contentone/ist/ei/2016/00002016/00000011/art00013?crawler=true
389,R Chellappa,"In this paper, we describe a remote face database which has been acquired in an
unconstrained outdoor environment. The face images in this database suffer from variations
due to blur, poor illumination, pose, and occlusion. It is well known that many state-of-the-art …",16702012356850922946,29,Evaluation of state-of-the-art algorithms for remote face recognition,https://www.researchgate.net/profile/Jie_Ni2/publication/224200872_Evaluation_of_state-of-the-art_algorithms_for_remote_face_recognition/links/0046352e91975cffb5000000.pdf
390,X Zhao|S Shan|X Chai|X Chen,"In this paper, we propose a novel cascaded face shape space pruning algorithm for robust
facial landmark detection. Through progressively excluding the incorrect candidate shapes,
our algorithm can accurately and efficiently achieve the globally optimal shape …",15684729755972683473,29,Cascaded shape space pruning for robust facial landmark detection,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Zhao_Cascaded_Shape_Space_2013_ICCV_paper.pdf
391,X Cao|X Wei|Y Han,"Face clustering is a key component either in image managements or video analysis. Wild
human faces vary with the poses, expressions, and illumination changes. All kinds of noises,
like block occlusions, random pixel corruptions, and various disguises may also destroy the …",17580625537085400302,35,Robust face clustering via tensor decomposition,
392,H Fan|Z Cao|Y Jiang,"This paper addresses the problem of producing very compact representation of a face image
for large-scale face search and analysis tasks. In tradition, the compactness of face
representation is achieved by a dimension reduction step after representation extraction …",9176716275050175340,30,Learning compact face representation: Packing a face into an int32,
393,C Shen|J Kim|L Wang,"Distance metric learning plays an important role in many vision problems. Previous work of
quadratic Mahalanobis metric learning usually needs to solve a semidefinite programming
(SDP) problem. A standard interior-point SDP solver has a complexity of O (D 6.5)(with D the …",12111812207833892701,31,A scalable dual approach to semidefinite metric learning,https://www.researchgate.net/profile/Chunhua_Shen2/publication/221364040_A_scalable_dual_approach_to_semidefinite_metric_learning/links/0deec5387d62106a65000000.pdf
394,F Wang|X Xiang|J Cheng|AL Yuille,"Thanks to the recent developments of Convolutional Neural Networks, the performance of
face verification methods has increased rapidly. In a typical face verification method, feature
normalization is a critical step for boosting performance. This motivates us to introduce and …",16318804577055939491,53,Normface: l 2 hypersphere embedding for face verification,https://arxiv.org/pdf/1704.06369
395,WS Chu|JJJ Lien,"This study presents a novel kernel discriminant transformation (KDT) algorithm for face
recognition based on image sets. As each image set is represented by a kernel subspace,
we formulate a KDT matrix that maximizes the similarities of within-kernel subspaces, and …",16855081576788323736,28,Kernel discriminant transformation for image set-based face recognition,http://ir.lib.kuas.edu.tw/bitstream/987654321/12178/2/%E8%B3%87%E5%B7%A551-Kernel%20Discriminant%20Transformation%20for%20Image%20Set-Based%20Face%20Recognition.pdf
396,YS Choi|T Chen|A Jain,"Delivering an object to a user would be a generally useful capability for service robots.
Within this paper, we look at this capability in the context of assistive object retrieval for
motor-impaired users. We first describe a behavior-based system that enables our mobile …",13623736646873761065,32,Hand it over or set it down: A user study of object delivery with an assistive mobile manipulator,https://smartech.gatech.edu/bitstream/handle/1853/37361/roman2009_delivery.pdf?sequence=1&isAllowed=y
397,M Demirkus|JJ Clark|T Arbel,"Automatic head pose estimation from real-world video sequences is of great interest to the
computer vision community since pose provides prior knowledge for tasks, such as face
detection and classification. However, developing pose estimation algorithms requires large …",9938054399660143764,29,Robust semi-automatic head pose labeling for real-world face video sequences,
398,M Kan|S Shan|X Chen,"Cross-view recognition that intends to classify samples between different views is an
important problem in computer vision. The large discrepancy between different even
heterogenous views make this problem quite challenging. To eliminate the complex (maybe …",13580686416553975049,46,Multi-view deep network for cross-view classification,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf
399,A Moeini|K Faez,"In this paper, a novel method is proposed for real-world pose-invariant face recognition from
only a single image in a gallery. A 3D Facial Expression Generic Elastic Model (3D FE-GEM)
is proposed to reconstruct a 3D model of each human face using only a single 2D frontal …",1408225685146916272,27,Unrestricted pose-invariant face recognition by sparse dictionary matrix,
400,M Kan|D Xu|S Shan|W Li,"In this paper, we propose a new scheme called Prototype Hyperplane Learning (PHL) for
face verification in the wild using only weakly labeled training samples (ie, we only know
whether each pair of samples are from the same class or different classes without knowing …",6103131015740634792,30,Learning prototype hyperplanes for face verification in the wild,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.674.2640&rep=rep1&type=pdf
401,J Lu|YP Tan|G Wang,"For many practical face recognition systems such as law enforcement, e-passport, and ID
card identification, there is usually only a single sample per person (SSPP) enrolled in these
systems, and many existing face recognition methods may fail to work well because there …",10788393337389542784,28,Image-to-set face recognition using locality repulsion projections and sparse reconstruction-based similarity measure,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.710.6034&rep=rep1&type=pdf
402,S Dimitrijev,"Image variability that is impossible or difficult to restore by intra-image processing, such as
the variability caused by occlusions, significantly reduces the performance of image-
recognition methods. To address this issue, we propose that the pixels associated with large …",14488406083090648298,29,Inter-image outliers and their application to image classification,https://research-repository.griffith.edu.au/bitstream/handle/10072/34436/64724_2.pdf?sequence=1
403,JR Gardner|P Upchurch|MJ Kusner|Y Li,"Many tasks in computer vision can be cast as a"" label changing"" problem, where the goal is
to make a semantic change to the appearance of an image or some subject in an image in
order to alter the class membership. Although successful task-specific methods have been …",14475583420390812731,36,Deep manifold traversal: Changing labels with convolutional features,https://arxiv.org/pdf/1511.06421
404,J He|D Zhang|L Balzano,"Robust high-dimensional data processing has witnessed an exciting development in recent
years. Theoretical results have shown that it is possible using convex programming to
optimize data fit to a low-rank component plus a sparse outlier component. This problem is …",4902487010883530133,33,Iterative Grassmannian optimization for robust image alignment,https://arxiv.org/pdf/1306.0404
405,CX Ren,"Lambertian model is a classical illumination model consisting of a surface albedo
component and a light intensity component. Some previous researches assume that the light
intensity component mainly lies in the large-scale features. They adopt holistic image …",1397115423743251745,30,Multiscale logarithm difference edgemaps for face recognition against varying lighting conditions,https://www.researchgate.net/profile/Ke_Kun_Huang/publication/273326451_Multiscale_Logarithm_Difference_Edgemaps_for_Face_Recognition_Against_Varying_Lighting_Conditions/links/583046a608ae138f1c05bb0b/Multiscale-Logarithm-Difference-Edgemaps-for-Face-Recognition-Against-Varying-Lighting-Conditions.pdf
406,T Chakraborti|A Chatterjee,"The present paper proposes a novel feature selection scheme for face recognition problems,
employing a new modified version of the gravitational search algorithm, a recently proposed
metaheuristic optimization algorithm. The feature selection scheme, which reduces the …",5990717573034336153,29,"A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns",http://www.academia.edu/download/35090322/research_publication_2.pdf
407,J Lu|VE Liong,"In this paper, we propose a simultaneous local binary feature learning and encoding
(SLBFLE) approach for both homogeneous and heterogeneous face recognition. Unlike
existing hand-crafted face descriptors such as local binary pattern (LBP) and Gabor features …",2651173721190268,26,Simultaneous local binary feature learning and encoding for homogeneous and heterogeneous face recognition,
408,Y Ying|M Pontil,"Linear metric learning is a widely used methodology to learn a dissimilarity function from a
set of similar/dissimilar example pairs. Using a single metric may be a too restrictive
assumption when handling heterogeneous datasets. Recently, local metric learning …",16412780700309483366,31,Large margin local metric learning,https://pdfs.semanticscholar.org/467b/602a67cfd7c347fe7ce74c02b38c4bb1f332.pdf
409,A Bansal|A Nanduri|CD Castillo,"Recent progress in face detection (including keypoint detection), and recognition is mainly
being driven by (i) deeper convolutional neural network architectures, and (ii) larger
datasets. However, most of the large datasets are maintained by private companies and are …",15417824747310072694,46,Umdfaces: An annotated face dataset for training deep networks,https://arxiv.org/pdf/1611.01484
410,D Wang|SCH Hoi|Y He,"Auto face annotation plays an important role in many real-world multimedia information and
knowledge management systems. Recently there is a surge of research interests in mining
weakly-labeled facial images on the internet to tackle this long-standing research challenge …",13821668196936702691,27,A unified learning framework for auto face annotation by mining web facial images,https://www.researchgate.net/profile/Dayong_Wang2/publication/262291079_A_unified_learning_framework_for_auto_face_annotation_by_mining_web_facial_images/links/564cf1fd08ae4988a7a410e8.pdf
411,L Chen,"We are dealing with the face cluster recognition problem where there are multiple images
per subject in both gallery and probe sets. It is never guaranteed to have a clear spatio-
temporal relation among the multiple images of each subject. Considering that the image …",7383413659533317775,30,Dual linear regression based classification for face cluster recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Chen_Dual_Linear_Regression_2014_CVPR_paper.pdf
412,J Saragih,"ABSTRACT A new paradigm for multivariate regression is proposed; principal regression
analysis (PRA). It entails learning a low dimensional subspace over sample-specific
regressors. For a given input, the model predicts a subspace thought to contain the …",11750265634546211594,28,Principal regression analysis,
413,T Hassner|L Wolf,"Abstract The One-Shot-Similarity (OSS) is a framework for classifier-based similarity
functions. It is based on the use of background samples and was shown to excel in tasks
ranging from face recognition to document analysis. However, we found that its performance …",1767508843931002131,27,One shot similarity metric learning for action recognition,https://www.openu.ac.il/home/hassner/data/ASLAN/Papers/simbad.pdf
414,C Peng|X Gao|N Wang,"Heterogeneous face recognition (HFR) refers to matching face images acquired from
different sources (ie, different sensors or different wavelengths) for identification. HFR plays
an important role in both biometrics research and industry. In spite of promising progresses …",4222000929336163835,43,Graphical Representation for Heterogeneous Face Recognition.,https://arxiv.org/pdf/1503.00488
415,B Becker|E Ortiz,"Face recognition is becoming a widely used technique to organize and tag photos. Whether
searching, viewing, or organizing photos on the web or in personal photo albums, there is a
growing demand to index real-world photos by the subjects in them. Even consumer …",11686211656882738832,30,Evaluating open-universe face identification on the web,https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W16/papers/Becker_Evaluating_Open-Universe_Face_2013_CVPR_paper.pdf
416,J Cheney|AK Jain,"A large scale study of the accuracy and efficiency of face detection algorithms on
unconstrained face imagery is presented. Nine different face detection algorithms are
studied, which are acquired through either government rights, open source, or commercial …",14999843681127752342,28,Unconstrained face detection: State of the art baseline and challenges,http://biometrics.cse.msu.edu/Publications/Face/CheneyKlienJainKlare_UnconstrainedFaceDetection_ICB15.pdf
417,YC Wang|B Donyanavard|KTT Cheng,"Abstract The Graphics Processor Unit (GPU) has expanded its role from an accelerator for
rendering graphics into an efficient parallel processor for general purpose computing. The
GPU, an indispensable component in desktop and server-class computers as well as game …",10479847363527482581,26,Energy-aware real-time face recognition system on mobile CPU-GPU platform,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.602.4810&rep=rep1&type=pdf
418,Y Liu|J Yan|W Ouyang,"This paper targets on the problem of set to set recognition, which learns the metric between
two image sets. Images in each set belong to the same identity. Since images in a set can be
complementary, they hopefully lead to higher accuracy in practical applications. However …",9870426671476481464,54,[PDF] Quality aware network for set to set recognition,http://openaccess.thecvf.com/content_cvpr_2017/papers/Liu_Quality_Aware_Network_CVPR_2017_paper.pdf
419,,"Manipulating light with optical gratings based on volume Holographic Optical Elements
(vHOEs), also known as volume Bragg gratings, has the advantage to reconstruct only the
first diffraction order and hence provide high diffraction efficiencies and angular selectivity. In …",10544874367471536284,25,Bayfol HX photopolymer for full-color transmission volume Bragg gratings,
420,A Moeini,"In this paper, a novel method for face recognition under pose and expression variations is
proposed from only a single image in the gallery. A 3D probabilistic facial expression
recognition generic elastic model is proposed to reconstruct a 3D model from real-world …",34387738462923171,26,Real-world and rapid face recognition toward pose and expression variations via feature library matrix,
421,L Lin|W Zuo,"Cross-domain visual data matching is one of the fundamental problems in many real-world
vision tasks, eg, matching persons across ID photos and surveillance videos. Conventional
approaches to this problem usually involves two steps: i) projecting samples from different …",12981049976356079091,49,Cross-domain visual matching via generalized similarity measure and feature learning,https://arxiv.org/pdf/1605.04039
422,L Liu|J Deng,"Abstract We introduce Dynamic Deep Neural Networks (D2NN), a new type of feed-forward
deep neural network that allows selective execution. Given an input, only a subset of D2NN
neurons are executed, and the particular subset is determined by the D2NN itself. By …",6376874711156851627,25,Dynamic deep neural networks: Optimizing accuracy-efficiency trade-offs by selective execution,https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewPDFInterstitial/16291/16575
423,P Martins|JF Henriques,"This work presents a simple and very efficient solution to align facial parts in unseen images.
Our solution relies on a Point Distribution Model (PDM) face model and a set of discriminant
local detectors, one for each facial landmark. The patch responses can be embedded into a …",14038405951243776563,26,Discriminative bayesian active shape models,https://pdfs.semanticscholar.org/c813/413fc84be33d7c4ccdd4a1f025ccc73a77bd.pdf
424,W Li|D Xu|D Tao,"Low rank representation (LRR) has shown promising performance for various computer
vision applications such as face clustering. Existing algorithms for solving LRR usually
depend on its two-variable formulation which contains the original data matrix. In this paper …",3710141461954239745,33,FaLRR: A fast low rank representation solver,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Xiao_FaLRR_A_Fast_2015_CVPR_paper.pdf
425,A Nech,"Face recognition has the perception of a solved problem, however when tested at the million-
scale exhibits dramatic variation in accuracies across the different algorithms [11]. Are the
algorithms very different? Is access to good/big training data their secret weapon? Where …",12932836311624990730,47,[PDF] Level playing field for million scale face recognition,http://openaccess.thecvf.com/content_cvpr_2017/papers/Nech_Level_Playing_Field_CVPR_2017_paper.pdf
426,C Otto|D Wang|AK Jain,"Given a large collection of unlabeled face images, we address the problem of clustering
faces into an unknown number of identities. This problem is of interest in social media, law
enforcement, and other applications, where the number of faces can be of the order of …",9743611198042490448,44,Clustering millions of faces by identity,https://arxiv.org/pdf/1604.00989
427,P Sharma|KV Arya,"This paper presents an efficient face recognition method where enhanced local Gabor
binary pattern histogram sequence has been used for efficient face feature extraction and
generalized neural network with wavelet as activation function is being used for …",14108302572765072534,29,Efficient face recognition using wavelet-based generalized neural network,https://lms.ctl.cyut.edu.tw/sysdata/17/36317/doc/1ad3a90eb1d590ad/attach/2266462.pdf
428,Z Miao|X Jiang,"This paper proposes a novel nonlinear filter, named rank order Laplacian of Gaussian
(ROLG) filter, based on which a new interest point detector is developed. The ROLG filter is
a weighted rank order filter. It is used to detect the image local structures where a significant …",15069076642586660211,31,Interest point detection using rank order LoG filter,http://www3.ntu.edu.sg/home/EXDJiang/PR13-2.pdf
429,S Saxena|J Verbeek,"Heterogeneous face recognition aims to recognize faces across different sensor modalities.
Typically, gallery images are normal visible spectrum images, and probe images are
infrared images or sketches. Recently significant improvements in visible spectrum face …",13232739572848253579,34,Heterogeneous face recognition with CNNs,https://hal.inria.fr/hal-01367455/document
430,J Sullivan|H Li,"Predicting attributes from face images in the wild is a challenging computer vision problem.
To automatically describe face attributes from face containing images, traditionally one
needs to cascade three technical blocks-face localization, facial descriptor construction, and …",1305125998010022069,39,Face attribute prediction using off-the-shelf cnn features,https://arxiv.org/pdf/1602.03935
431,GG Chrysos|E Antonakos|P Snape|A Asthana,"Recently, technologies such as face detection, facial landmark localisation and face
recognition and verification have matured enough to provide effective and efficient solutions
for imagery captured under arbitrary conditions (referred to as “in-the-wild”). This is partially …",18040213003677960311,37,[HTML] A comprehensive performance evaluation of deformable face tracking “in-the-wild”,https://link.springer.com/article/10.1007/s11263-017-0999-5
432,A Tefas|I Pitas,"Visual pattern recognition from images often involves dimensionality reduction as a key step
to discover a lower dimensional image data representation and obtain a more manageable
problem. Contrary to what is commonly practiced today in various recognition applications …",4707510867706113559,24,Maximum margin projection subspace learning for visual data analysis,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.671.8593&rep=rep1&type=pdf
433,R Wang|H Liu|H Jiang|S Shan,"We address the challenging large-scale content-based face image retrieval problem,
intended as searching images based on the presence of specific subject, given one face
image of him/her. To this end, one natural demand is a supervised binary code learning …",13821043325332428975,33,"Two birds, one stone: Jointly learning binary code for large-scale face image retrieval and attributes prediction",https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Li_Two_Birds_One_ICCV_2015_paper.pdf
434,M Dantone|L Bossard|T Quack,"In this paper we present a fully automatic system for face augmentation on mobile devices. A
user can point his mobile phone to a person and the system recognizes his or her face. A
tracking algorithm overlays information about the identified person on the screen, thereby …",60863940404419910,27,Augmented faces,https://www.computer.org/csdl/proceedings/iccvw/2011/0063/00/06130218.pdf
435,S Joon Oh|M Fritz|B Schiele,"Users like sharing personal photos with others through social media. At the same time, they
might want to make automatic identification in such photos difficult or even impossible.
Classic obfuscation methods such as blurring are not only unpleasant but also not as …",10487721011147678511,24,Adversarial Image Perturbation for Privacy Protection--A Game Theory Perspective,http://openaccess.thecvf.com/content_ICCV_2017/papers/Oh_Adversarial_Image_Perturbation_ICCV_2017_paper.pdf
436,,"This paper proposes a novel eye detection method, which can locate the accurate positions
of the eyes from frontal face images. The proposed method is robust to pose changes,
different facial expressions and illumination variations. Initially, it utilizes image …",6305972768246428064,26,Automatic eye detection using intensity filtering and K-means clustering,
437,AP Coates,"Abstract Machine learning is a key component of state-of-the-art systems in many
application domains. Applied to many kinds of raw data, however, most learning algorithms
are unable to make good predictions. In order to succeed, most learning algorithms are …",13865910409762538510,26,[PDF] Demystifying unsupervised feature learning,https://pdfs.semanticscholar.org/59bd/d317abe8d87fb525eb4e3197a9311e2766e7.pdf
438,R Verschae|J Ruiz-del-Solar|M Correa,"The development of face recognition methods for unconstrained environments is a
challenging problem. The aim of this work is to carry out a comparative study of existing face
recognition methods that are suitable to work properly in these environments. The analyzed …",12553469147025349086,25,Face recognition in unconstrained environments: A comparative study,https://hal.inria.fr/inria-00326730/document
439,X Liu|M Kan|S Shan,"Robust face representation is imperative to highly accurate face recognition. In this work, we
propose an open source face recognition method with deep representation named as
VIPLFaceNet, which is a 10-layer deep convolutional neural network with seven …",17944854307301301583,35,VIPLFaceNet: an open source deep face recognition SDK,https://arxiv.org/pdf/1609.03892
440,Y Yan|H Wang|D Suter,"In this paper, we propose an effective feature extraction algorithm, called Multi-Subregion
based Correlation Filter Bank (MS-CFB), for robust face recognition. MS-CFB combines the
benefits of global-based and local-based feature extraction algorithms, where multiple …",14623948494208583866,29,Multi-subregion based correlation filter bank for robust face recognition,https://arxiv.org/pdf/1603.07604
441,S Li|A Sinha|G Barbastathis,"Computational imaging through scatter generally is accomplished by first characterizing the
scattering medium so that its forward operator is obtained and then imposing additional
priors in the form of regularizers on the reconstruction functional to improve the condition of …",16298506073523911431,24,Imaging through glass diffusers using densely connected convolutional networks,https://www.osapublishing.org/viewmedia.cfm?uri=optica-5-7-803&seq=0
442,S Sankaranarayanan|A Alavi|R Chellappa,"In this work, we present an unconstrained face verification algorithm and evaluate it on the
recently released IJB-A dataset that aims to push the boundaries of face verification
methods. The proposed algorithm couples a deep CNN-based approach with a low …",7715843574384349313,38,Triplet similarity embedding for face verification,https://arxiv.org/pdf/1602.03418
443,S Yang|P Luo|CC Loy|X Tang,"We propose a deep convolutional neural network (CNN) for face detection leveraging on
facial attributes based supervision. We observe a phenomenon that part detectors emerge
within CNN trained to classify attributes from uncropped face images, without any explicit …",1887069484960836013,24,Faceness-net: Face detection through deep facial part responses,https://arxiv.org/pdf/1701.08393
444,HT Ho|R Gopalan,"Many classification algorithms see a reduction in performance when tested on data with
properties different from that used for training. This problem arises very naturally in face
recognition where images corresponding to the source domain (gallery, training data) and …",1185159171864968934,27,Model-driven domain adaptation on product manifolds for unconstrained face recognition,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.642.170&rep=rep1&type=pdf
445,C Zhang|Z Zhang,"Face detection, because of its vast array of applications, is one of the most active research
areas in computer vision. In this book, we review various approaches to face detection
developed in the past decade, with more emphasis on boosting-based learning algorithms …",7407712550722566346,23,Boosting-based face detection and adaptation,
446,JZ Leibo|T Poggio,"Unconstrained face recognition remains a challenging computer vision problem despite
recent exceptionally high results (∼ 95% accuracy) on the current gold standard evaluation
dataset: Labeled Faces in the Wild (LFW)(Huang et al., 2008; Chen et al., 2013). We offer a …",1237088394768625634,27,Subtasks of unconstrained face recognition,https://dspace.mit.edu/openaccess-disseminate/1721.1/102486
447,Q Cao|L Shen|W Xie|OM Parkhi,"In this paper, we introduce a new large-scale face dataset named VGGFace2. The dataset
contains 3.31 million images of 9131 subjects, with an average of 362.6 images for each
subject. Images are downloaded from Google Image Search and have large variations in …",17598700583298216808,112,Vggface2: A dataset for recognising faces across pose and age,https://arxiv.org/pdf/1710.08092
448,K Macnish,"In this paper I critique the ethical implications of automating CCTV surveillance. I consider
three modes of CCTV with respect to automation: manual (or non-automated), fully
automated, and partially automated. In each of these I examine concerns posed by …",17597392701821181372,28,Unblinking eyes: the ethics of automating surveillance,http://eprints.whiterose.ac.uk/80502/7/Unblinking%20Eyes%20-%20The%20Ethics%20of%20Automating%20Surveillance%20-%20Draft_with_coversheet.pdf
449,P Rai|P Khanna,"Recognizing gender of a person from occluded face image is a recent challenge in gender
classification research. This work investigates the issue and proposes a gender
classification system that works for non-occluded face images to face images occluded up to …",4579754682159760165,26,A gender classification system robust to occlusion using Gabor features based (2D) 2PCA,
450,S Setty|M Husain,"Recognizing human faces in the wild is emerging as a critically important, and technically
challenging computer vision problem. With a few notable exceptions, most previous works in
the last several decades have focused on recognizing faces captured in a laboratory setting …",10194316221634175118,34,Indian movie face database: a benchmark for face recognition under wide variations,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.461.2333&rep=rep1&type=pdf
451,M Liu|BC Vemuri,"A proper distance metric is fundamental in many computer vision and pattern recognition
applications such as classification, image retrieval, face recognition and so on. However, it is
usually not clear what metric is appropriate for specific applications, therefore it becomes …",2273661796473488999,26,A robust and efficient doubly regularized metric learning approach,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3761969/
452,SJ Ruan,"Skin color is an important feature for face detection and recognition in color images. In order
to obtain the possible face regions in color images, the skin color models are always
constructed by statistical analysis. Owing to low accuracy of the static models, researches …",3450334483500625521,23,Honeycomb model based skin color detector for face detection,https://www.researchgate.net/profile/Saraju_Mohanty/publication/220171042_Honeycomb_model_based_skin_colour_detector_for_face_detection/links/5578f69708ae75363755ba9c.pdf
453,C McCool|R Wallace|M McLaren|L El Shafey,"This study examines session variability modelling for face authentication using Gaussian
mixture models. Session variability modelling aims to explicitly model and suppress
detrimental within-class (inter-session) variation. The authors examine two techniques to do …",6085982873399872452,23,Session variability modelling for face authentication,https://infoscience.epfl.ch/record/192745/files/McCool_Idiap-RR-17-2013.pdf
454,S Honari|J Yosinski|P Vincent,"Deep neural networks with alternating convolutional, max-pooling and decimation layers are
widely used in state of the art architectures for computer vision. Max-pooling purposefully
discards precise spatial information in order to create features that are more robust, and …",15999616770055672219,38,Recombinator networks: Learning coarse-to-fine feature aggregation,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Honari_Recombinator_Networks_Learning_CVPR_2016_paper.pdf
455,A Yu|K Grauman,"We explore the problem of predicting"" just noticeable differences"" in a visual attribute. While
some pairs of images have a clear ordering for an attribute (eg, A is more sporty than B), for
others the difference may be indistinguishable to human observers. However, existing …",3652283520757569020,27,Just noticeable differences in visual attributes,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Yu_Just_Noticeable_Differences_ICCV_2015_paper.pdf
456,,"This paper presents a novel and generic approach for metric learning, random ensemble
metrics (REMetric). To improve generalization performance, we introduce the concept of
ensemble learning to the metric learning scheme. Unlike previous methods, our method …",2403969573015569298,23,Random ensemble metrics for object recognition,
457,M Nazir,"Gender classification is a fundamental face analysis task. In previous studies, the focus of
most researchers has been on face images acquired under controlled conditions. Real-
world face images contain different illumination effects and variations in facial expressions …",16520776251237615650,23,[HTML] PSO-GA based optimized feature selection using facial and clothing information for gender classification,https://www.sciencedirect.com/science/article/pii/S1665642314716141
458,C Shen|J Kim|F Liu|L Wang,"Distance metric learning is of fundamental interest in machine learning because the
employed distance metric can significantly affect the performance of many learning methods.
Quadratic Mahalanobis metric learning is a popular approach to the problem, but typically …",12128379318708425965,25,Efficient dual approach to distance metric learning,https://arxiv.org/pdf/1302.3219
459,M Mehdipour Ghazi,"Deep learning based approaches have been dominating the face recognition field due to
the significant performance improvement they have provided on the challenging wild
datasets. These approaches have been extensively tested on such unconstrained datasets …",11702398776207942825,36,A comprehensive analysis of deep learning based representation for face recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Ghazi_A_Comprehensive_Analysis_CVPR_2016_paper.pdf
460,B Babenko|MH Yang,"Boosting has become a powerful and useful tool in the machine learning and computer
vision communities in recent years, and many interesting boosting algorithms have been
developed to solve various challenging problems. In particular, Friedman proposed a …",9502044218350722761,23,A family of online boosting algorithms,http://www.academia.edu/download/30714488/osb_iccv09_cam.pdf
461,R He|Y Cai|L Davis,"High dimensional dense features have been shown to be useful for face recognition, but
result in high query time when searching a large-scale face database. Hence binary codes
are often used to obtain fast query speeds as well as reduce storage requirements …",3292528120064562830,25,Learning predictable binary codes for face indexing,http://ir.ia.ac.cn/bitstream/173211/7901/1/PR_online.pdf
462,A Jourabloo|X Yin|X Liu,"In this paper, we recognize the need of de-identifying a face image while preserving a large
set of facial attributes, which has not been explicitly studied before. We verify the underling
assumption that different visual features are used for identification and attribute …",15911459266379039465,29,[PDF] Attribute preserved face de-identification.,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.710.9624&rep=rep1&type=pdf
463,L Zheng|C Garcia,"We propose an efficient linear similarity metric learning method for face verification called
Triangular Similarity Metric Learning (TSML). Compared with relevant state-of-the-art work,
this method improves the efficiency of learning the cosine similarity while keeping …",5013158603856562208,30,Triangular similarity metric learning for face verification,https://hal.archives-ouvertes.fr/hal-01158908/document
464,Q Liu|J Deng|D Tao,"Localizing facial landmarks is a fundamental step in facial image analysis. However, the
problem continues to be challenging due to the large variability in expression, illumination,
pose, and the existence of occlusions in real-world face images. In this paper, we present a …",9085146140285339836,28,Dual sparse constrained cascade regression for robust face alignment,https://jiankangdeng.github.io/resources/paper/Liu_dualsparse_for_TIP_2016_paper.pdf
465,X Tan|S Chen,"Recent work has shown the advantages of using high level representation such as attribute-
based descriptors over low-level feature sets in face verification. However, in most work
each attribute is coded with extremely short information length (eg,“is Male”,“has Beard”) …",17407123054071060055,26,Exploiting relationship between attributes for improved face verification,http://parnec.nuaa.edu.cn/xtan/paper/CVIU14.pdf
466,R Ranjan,"We propose an approach for age estimation from unconstrained images based on deep
convolutional neural networks (DCNN). Our method consists of four steps: face detection,
face alignment, DCNN-based feature extraction and neural network regression for age …",831580516315205740,28,Unconstrained age estimation with deep convolutional neural networks,https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Ranjan_Unconstrained_Age_Estimation_ICCV_2015_paper.pdf
467,J van de Wolfshaar|MF Karaaba,"Social behavior and many cultural etiquettes are influenced by gender. There are numerous
potential applications of automatic face gender recognition such as human-computer
interaction systems, content based image search, video surveillance and more. The …",18360575111177050928,36,Deep convolutional neural networks and support vector machines for gender recognition,https://www.researchgate.net/profile/Jos_Van_de_Wolfshaar/publication/282981121_Deep_Convolutional_Neural_Networks_and_Support_Vector_Machines_for_Gender_Recognition/links/5625761c08ae4d9e5c4bb569.pdf
468,S Joon Oh|R Benenson|M Fritz,"Recognising persons in everyday photos presents major challenges (occluded faces,
different clothing, locations, etc.) for machine vision. We propose a convnet based person
recognition system on which we provide an in-depth analysis of informativeness of different …",6335337526402909838,31,Person recognition in personal photo collections,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Oh_Person_Recognition_in_ICCV_2015_paper.pdf
469,D Miller|S Seitz,"Recent face recognition experiments on the LFW benchmark show that face recognition is
performing stunningly well, surpassing human recognition rates. In this paper, we study face
recognition at scale. Specifically, we have collected from Flickr a\textbf {Million} faces and …",11253175355121772843,31,Megaface: A million faces for recognition at scale,https://arxiv.org/pdf/1505.02108
470,U Mahbub|S Sarkar|VM Patel,"In this paper, automated user verification techniques for smartphones are investigated. A
unique non-commercial dataset, the University of Maryland Active Authentication Dataset 02
(UMDAA-02) for multi-modal user authentication research is introduced. This paper focuses …",2852381072743650724,39,Active user authentication for smartphones: A challenge data set and benchmark results,https://arxiv.org/pdf/1610.07930
471,MT Law|N Thome|M Cord,"This paper introduces a regularization method to explicitly control the rank of a learned
symmetric positive semidefinite distance matrix in distance metric learning. To this end, we
propose to incorporate in the objective function a linear regularization term that minimizes …",15599757017663813729,27,Fantope regularization in metric learning,https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Law_Fantope_Regularization_in_2014_CVPR_paper.pdf
472,G Ozbulak|Y Aytar|HK Ekenel,"Age and gender are complementary soft biometric traits for face recognition. Successful
estimation of age and gender from facial images taken under real-world conditions can
contribute improving the identification results in the wild. In this study, in order to achieve …",10465302397919362410,31,How transferable are CNN-based features for age and gender classification?,https://arxiv.org/pdf/1610.00134
473,,"Abstract The Inertial Confinement Fusion (ICF) laser device consists of thousands of
Metalized Film Capacitors (MFC). The Belief Rule Base (BRB) system has shown privileges
in reflecting complex system dynamics. However, the BRB system requires the referenced …",5903786957758937033,22,Parameter learning for the belief rule base system in the residual life probability prediction of metalized film capacitor,http://or.nsfc.gov.cn/bitstream/00001903-5/487328/1/1000014462546.pdf
474,HC Shih,"This study proposed a precise facial feature extraction method to improve the accuracy of
gender classification under pose and illumination variations. We used the active
appearance model (AAM) to align the face image. Images were modeled by the patches …",13901344318772011834,24,Robust gender classification using a precise patch histogram,http://www.oz.nthu.edu.tw/~d917904/papers/2013_PPH.pdf
475,JR Beveridge|DS Bolme|BA Draper,"Recent studies show that face recognition in uncontrolled images remains a challenging
problem, although the reasons why are less clear. Changes in illumination are one possible
explanation, even though algorithms developed since the advent of the PIE and Yale B data …",3003880560835426391,21,Quantifying how lighting and focus affect face recognition performance,http://www.cs.colostate.edu/~draper/papers/beveridge_cvprw10.pdf
476,N Wang|H Ai,"Hair is a very important part of human appearance. Robust and accurate hair segmentation
is difficult because of challenging variation of hair color and shape. In this paper, we
propose a novel Compositional Exemplar-based Model (CEM) for hair style segmentation …",1917080992592482406,22,A compositional exemplar-based model for hair segmentation,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.294.6857&rep=rep1&type=pdf
477,D Wang|SCH Hoi|J Zhu|Y He,"Automated face annotation aims to automatically detect human faces from a photo and
further name the faces with the corresponding human names. In this paper, we tackle this
open problem by investigating a search-based face annotation (SBFA) paradigm for mining …",17376339656511015431,24,Learning to name faces: a multimodal learning scheme for search-based face annotation,http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3336&context=sis_research
478,X Wei|CT Li|Z Lei|D Yi|SZ Li,"Face recognition (FR) systems in real-world applications need to deal with a wide range of
interferences, such as occlusions and disguises in face images. Compared with other forms
of interferences such as nonuniform illumination and pose changes, face with occlusions …",16297348987447370488,24,Dynamic image-to-class warping for occluded face recognition,https://ieeexplore.ieee.org/iel7/10206/6953163/06906281.pdf
479,Z Zhang|Y Xu|L Shao|J Yang,"Existing block-diagonal representation studies mainly focuses on casting block-diagonal
regularization on training data, while only little attention is dedicated to concurrently learning
both block-diagonal representations of training and test data. In this paper, we propose a …",1991018409245688327,21,Discriminative block-diagonal representation learning for image recognition,https://arxiv.org/pdf/1707.03548
480,X Zhang|Z Fang|Y Wen,"Deep convolutional neural networks have achieved significant improvements on face
recognition task due to their ability to learn highly discriminative features from tremendous
amounts of face images. Many large scale face datasets exhibit long-tail distribution where a …",15660489373456412178,42,[PDF] Range loss for deep face recognition with long-tailed training data,http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhang_Range_Loss_for_ICCV_2017_paper.pdf
481,S Liao|D Shen|ACS Chung,"In this paper, we propose a new framework for tackling face recognition problem. The face
recognition problem is formulated as groupwise deformable image registration and feature
matching problem. The main contributions of the proposed method lie in the following …",16535688461627700194,22,A Markov random field groupwise registration framework for face recognition,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262139/
482,M Castrillón-Santana|J Lorenzo-Navarro,"In this paper, we focus on gender recognition in challenging large scale scenarios. Firstly,
we review the literature results achieved for the problem in large datasets, and select the
currently hardest dataset: The Images of Groups. Secondly, we study the extraction of …",12519719883366539530,23,Improving gender classification accuracy in the wild,https://link.springer.com/content/pdf/10.1007/978-3-642-41827-3_34.pdf
483,Z Lei|D Yi|SZ Li,"Learning-based face descriptors have constantly improved the face recognition
performance. Compared with the hand-crafted features, learning-based features are
considered to be able to exploit information with better discriminative ability for specific …",14481603752494307714,28,Learning stacked image descriptor for face recognition,http://www.cbsr.ia.ac.cn/users/zlei/papers/ZLEI-DDFL-TCSVT-2016.pdf
484,T Hassner|I Masi|J Choi|S Harel,"We propose a novel approach to template based face recognition. Our dual goal is to both
increase recognition accuracy and reduce the computational and storage costs of template
matching. To do this, we leverage on an approach which was proven effective in many other …",3015443069892136820,30,Pooling faces: template based face recognition with pooled face images,https://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Hassner_Pooling_Faces_Template_CVPR_2016_paper.pdf
485,G Riegler|D Ferstl|H Bischof,"Head pose estimation and facial feature localization are keys to advanced human computer
interaction systems and human behavior analysis. Due to their relevance, both tasks have gained
a lot of attention in the com- puter vision community. Recent state-of-the-art methods like [1 …",4957814400035829523,27,[PDF] Hough networks for head pose estimation and facial feature localization,http://www.bmva.org/bmvc/2014/files/abstract039.pdf
486,Z Li|D Gong|X Li|D Tao,"Dense feature extraction is becoming increasingly popular in face recognition tasks.
Systems based on this approach have demonstrated impressive performance in a range of
challenging scenarios. However, improvements in discriminative power come at a …",8306334104168013126,22,Learning compact feature descriptor and adaptive matching framework for face recognition,https://cise.ufl.edu/~dihong/assets/07094272.pdf
487,H Guo|R Wang|J Choi,"We propose a face verification framework using sparse representations that integrates two
ways of employing sparsity. Given an image pair (A, B) and a dictionary D, for image A (B),
we generate two sparse codes, one by using the original dictionary and the other by adding …",5483569962514463819,23,[PDF] Face verification using sparse representations,http://legacydirs.umiacs.umd.edu/~jhchoi/paper/cvprw2012_sfv.pdf
488,BM Smith|L Zhang,"In this paper we make the first effort, to the best of our knowledge, to combine multiple face
landmark datasets with different landmark definitions into a super dataset, with a union of all
landmark types computed in each image as output. Our approach is flexible, and our system …",10474537469452328236,21,Collaborative facial landmark localization for transferring annotations across datasets,http://pages.cs.wisc.edu/~lizhang/projects/collab-face-landmarks/SmithECCV2014.pdf
489,B Bhattarai|G Sharma|F Jurie|P Pérez,"This paper presents a novel method for hierarchically organizing large face databases, with
application to efficient identity-based face retrieval. The method relies on metric learning
with local binary pattern (LBP) features. On one hand, LBP features have proved to be highly …",7912148659523770550,20,Some faces are more equal than others: Hierarchical organization for accurate and efficient large-scale identity-based face retrieval,https://hal.inria.fr/docs/01/06/15/88/PDF/hfaces-lbp14.pdf
490,N Wang|H Ai|F Tang,"Hair plays an important role in human appearance. However, hair segmentation is still a
challenging problem partially due to the lack of an effective model to handle its arbitrary
shape variations. In this paper, we present a part-based model robust to hair shape and …",2220575659757786263,23,What are good parts for hair shape modeling?,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.478.5247&rep=rep1&type=pdf
491,R Gopalan|VM Patel,"Abstract Domain adaptation is an active, emerging research area that attempts to address
the changes in data distribution across training and testing datasets. With the availability of a
multitude of image acquisition sensors, variations due to illumination, and viewpoint among …",12647215138600242085,25,Domain adaptation for visual recognition,http://www.nowpublishers.com/article/DownloadSummary/CGV-057
492,TE Potok|C Schuman|S Young|R Patton,"Current deep learning approaches have been very successful using convolutional neural
networks trained on large graphical-processing-unit-based computers. Three limitations of
this approach are that (1) they are based on a simple layered network topology, ie, highly …",16119278122456650048,20,"A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers",https://arxiv.org/pdf/1703.05364
493,H Zhang|Z Niu|M Wang,"Along with the long-time evolution of popular social networks, eg Facebook, the social
media analysis research inevitably comes to the era to consider face/user recognition with
large age gaps. However, related research with adequate subjects and large age gaps is …",13748772570777795,28,Deep Aging Face Verification With Large Gaps.,
494,P Tome|R Vera-Rodriguez|J Fierrez,"This paper proposes a functional feature-based approach useful for real forensic caseworks,
based on the shape, orientation and size of facial traits, which can be considered as a soft
biometric approach. The motivation of this work is to provide a set of facial features, which …",3023380426018641298,23,Facial soft biometric features for forensic face recognition,https://repositorio.uam.es/bitstream/handle/10486/674267/facial_tome_2015_FSI_ps.pdf?sequence=1&isAllowed=y
495,F Juefei-Xu|M Savvides,"In this work, we have proposed a learning paradigm for obtaining weight-optimal local
binary patterns (WoLBP). We first re-formulate the LBP problem into matrix multiplication
with all the bitmaps flattened and then resort to the Fisher ratio criterion for obtaining the …",6280422824400961777,20,Weight-optimal local binary patterns,https://pdfs.semanticscholar.org/2563/b2adba98788a217565ba5a648f83cb75eeeb.pdf
496,,"Recent studies demonstrate that machine learning algorithms can discriminate based on
classes like race and gender. In this work, we present an approach to evaluate bias present
in automated facial analysis algorithms and datasets with respect to phenotypic subgroups …",14954608238029559254,113,Gender shades: Intersectional accuracy disparities in commercial gender classification,http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a.pdf
497,R Weng|J Lu|YP Tan,"Over the past three decades, a number of face recognition methods have been proposed in
computer vision, and most of them use holistic face images for person identification. In many
real-world scenarios especially some unconstrained environments, human faces might be …",18082762876912670790,30,Robust point set matching for partial face recognition,
498,,"The accurate localization of facial features plays a fundamental role in any face recognition
pipeline. Constrained local models (CLM) provide an effective approach to localization by
coupling ensembles of local patch detectors for non-rigid object alignment. A recent …",2961455965876271401,21,Convexity and bayesian constrained local models,https://www.researchgate.net/profile/Ulrich_Paquet/publication/221361773_Convexity_and_Bayesian_constrained_local_models/links/00b7d51c87309a487b000000/Convexity-and-Bayesian-constrained-local-models.pdf
499,R Singh|M Vatsa,"Automatic face recognition, required in law enforcement applications such as surveillance,
border security and forensic investigation, is a process in which an individual is identified or
verified based on facial characteristics. Researchers have proposed several algorithms that …",7959769786669080572,23,[PDF] Recognizing face images with disguise variations,https://www.intechopen.com/download/pdf/5898
500,Z Zheng|H Liu|J Yang,"In this paper, we consider the issue of computing low rank (LR) recovery of matrices with
sparse errors. Based on the success of low rank matrix recovery in statistical learning,
computer vision and signal processing, a novel low rank matrix recovery algorithm with …",7349155077662757311,21,Fisher discrimination based low rank matrix recovery for face recognition,
501,D Yi|Z Lei|SZ Li,"Eye localization is an important part in face recognition system, because its precision closely
affects the performance of face recognition. Although various methods have already
achieved high precision on the face images with high quality, their precision will drop on low …",873514327228528138,22,A robust eye localization method for low quality face images,http://www.cbsr.ia.ac.cn/users/dyi/EyeLocalization.files/eye_localization_2.pdf
502,D Oneata|M Douze|J Revaud,"The AXES project participated in the interactive instance search task (INS), the known-item
search task (KIS), and the multimedia event detection task (MED) for TRECVid 2012. As in
our TRECVid 2011 system, we used nearly identical search systems and user interfaces for …",15933636414251385805,21,"Axes at trecvid 2012: Kis, ins, and med",https://hal.inria.fr/hal-00746874/document
503,R Liu,"Face attributes are interesting due to their detailed description of human faces. Unlike prior
researches working on attribute prediction, we address an inverse and more challenging
problem called face attribute manipulation which aims at modifying a face image according …",15095360696172031357,54,[PDF] Learning residual images for face attribute manipulation,http://openaccess.thecvf.com/content_cvpr_2017/papers/Shen_Learning_Residual_Images_CVPR_2017_paper.pdf
504,L Du|H Ling,"In this paper we present a novel framework for cross-age face verification (FV) by seeking
help from its``competitor"" named cross-face age verification (AV), ie, deciding whether two
face photos are taken at similar ages. While FV and AV share some common features, FV …",9410115527848341655,23,Cross-age face verification by coordinating with cross-face age verification,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Du_Cross-Age_Face_Verification_2015_CVPR_paper.pdf
505,SA Osia|AS Shamsabadi|A Taheri|K Katevas,"Deep Neural Networks are increasingly being used in a variety of machine learning
applications applied to user data on the cloud. However, this approach introduces a number
of privacy and efficiency challenges, as the cloud operator can perform secondary …",5632468083565544795,31,A hybrid deep learning architecture for privacy-preserving mobile analytics,https://arxiv.org/pdf/1703.02952
506,H Guo|WR Schwartz|LS Davis,"We present a method for face verification that combines Partial Least Squares (PLS) and the
One-Shot similarity model [28]. First, a large feature set combining shape, texture and color
information is used to describe a face. Then PLS is applied to reduce the dimensionality of …",12288273022800851555,20,Face verification using large feature sets and one shot similarity,http://homepages.dcc.ufmg.br/~william/papers/paper_2011_IJCB_Faces.pdf
507,A Fernández|R García|R Usamentiaga,"Automatic glasses detection on real face images is a challenging problem due to different
appearance variations. Nevertheless, glasses detection on face images has not been
thoroughly investigated. In this paper, an innovative algorithm for automatic glasses …",18075238985957438434,19,Glasses detection on real images based on robust alignment,https://ria.asturias.es/RIA/bitstream/123456789/6241/1/Archivo.pdf
508,U Mahbub|VM Patel|D Chandra,"In this paper, a part-based technique for real time detection of users' faces on mobile
devices is proposed. This method is specifically designed for detecting partially cropped and
occluded faces captured using a smartphone's front-facing camera for continuous …",2572497893394423756,29,Partial face detection for continuous authentication,https://arxiv.org/pdf/1603.09364
509,G Toderici|G Evangelopoulos,"Performance boosts in face recognition have been facilitated by the formation of facial
databases, with collection protocols customized to address challenges such as light
variability, expressions, pose, sensor/modality differences, and, more recently, uncontrolled …",6184179044803318891,19,UHDB11 database for 3D-2D face recognition,https://link.springer.com/content/pdf/10.1007/978-3-642-53842-1_7.pdf
510,X Zhao,"Faces in the wild are usually captured with various poses, illuminations and occlusions, and
thus inherently multimodally distributed in many tasks. We propose a conditional
Convolutional Neural Network, named as c-CNN, to handle multimodal face recognition …",10363004042890465294,28,Conditional convolutional neural network for modality-aware face recognition,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Xiong_Conditional_Convolutional_Neural_ICCV_2015_paper.pdf
511,L Zhang,"We study in this paper the problem of one-shot face recognition, with the goal to build a
large-scale face recognizer capable of recognizing a substantial number of persons. Given
that for face recognition one can leverage a large-scale dataset to learn good face …",17346991169731825551,28,One-shot face recognition by promoting underrepresented classes,https://arxiv.org/pdf/1707.05574
512,J Chung|D Lee|Y Seo|CD Yoo,"Obtaining compact and discriminative features is one of the major challenges in many of the
real-world image classification tasks such as face verification and object recognition. One
possible approach is to represent input image on the basis of high-level features that carry …",3594035700806047280,22,[PDF] Deep attribute networks,http://www.eng.uwaterloo.ca/~jbergstr/files/nips_dl_2012/Paper%2011.pdf
513,L Zhang|K Mistry|SC Neoh,"Automatic perception of facial expressions with scaling differences, pose variations and
occlusions would greatly enhance natural human robot interaction. This research proposes
unsupervised automatic facial point detection integrated with regression-based intensity …",17490669624595821261,26,Adaptive facial point detection and emotion recognition for a humanoid robot,
514,M Günther|A Rozsa|TE Boult,"Facial attributes are soft-biometrics that allow limiting the search space, eg, by rejecting
identities with non-matching facial characteristics such as nose sizes or eyebrow shapes. In
this paper, we investigate how the latest versions of deep convolutional neural networks …",16142126833791968333,19,AFFACT: Alignment-free facial attribute classification technique,https://arxiv.org/pdf/1611.06158
515,ZH Huang,"In this paper, we propose a method for face recognition by using the two-dimensional
discrete wavelet transform (2D-DWT) and a new patch strategy. Based on the average
image of all training samples, by using integral projection technique for two top-level's high …",14785201581059663418,23,Non-uniform patch based face recognition via 2D-DWT,
516,J Lu|G Wang,"In this paper, we propose a new multiview discriminative learning (MDL) method for age-
invariant face recognition, which is a challenging and important problem in many practical
face recognition systems. Motivated by the fact that local appearance features are more …",2525300181830752386,23,Multiview discriminative learning for age-invariant face recognition,https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553724.pdf
517,Z Ding,"Metric learning has attracted increasing attentions recently, because of its promising
performance in many visual analysis applications. General supervised metric learning
methods are designed to learn a discriminative metric that can pull all the within-class data …",16423359348120582866,26,Discriminative low-rank metric learning for face recognition,
518,E Ramón-Balmaseda|J Lorenzo-Navarro,"In this paper, we address the challenge of gender classification using large databases of
images with two goals. The first objective is to evaluate whether the error rate decreases
compared to smaller databases. The second goal is to determine if the classifier that …",2263318400548109880,19,Gender classification in large databases,https://pdfs.semanticscholar.org/35e4/b6c20756cd6388a3c0012b58acee14ffa604.pdf
519,F Conti|A Pullini|L Benini,"Brain-inspired computer vision (BICV) has evolved rapidly in recent years and it is now
competitive with traditional CV approaches. However, most of BICV algorithms have been
developed on high power-and-performance platforms (eg workstations) or special purpose …",450143114708435161,21,Brain-inspired classroom occupancy monitoring on a low-power mobile platform,https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W17/papers/Conti_Brain-inspired_Classroom_Occupancy_2014_CVPR_paper.pdf
520,M Castrillón-Santana|J Lorenzo-Navarro,"Gender information may serve to automatically modulate interaction to the user needs,
among other applications. Within the Computer Vision community, gender classification
(GC) has mainly been accomplished with the facial pattern. Periocular biometrics has …",12176491212053682337,22,On using periocular biometric for gender classification in the wild,https://sudocument.ulpgc.es/bitstream/10553/16239/10/J017_PRL16_preprint.pdf
521,WY Yau,"Most face recognition systems require faces to be detected and localized a priori. In this
paper, an approach to simultaneously detect and localize multiple faces having arbitrary
views and different scales is proposed. The main contribution of this paper is the introduction …",8358903887618783121,19,Multiview face detection and registration requiring minimal manual intervention,http://oar.a-star.edu.sg/jspui/bitstream/123456789/151/3/Main_Hassan_oct12__WY-v2%2BMR-final.pdf
522,F Juefei-Xu|M Savvides,"Linear subspace learning methods such as Fisher׳ s Linear Discriminant Analysis (LDA),
Unsupervised Discriminant Projection (UDP), and Locality Preserving Projections (LPP)
have been widely used in face recognition applications as a tool to capture low dimensional …",8211637989286468422,21,Multi-class Fukunaga Koontz discriminant analysis for enhanced face recognition,http://www.xujuefei.com/felix_pr16_fkda.pdf
523,H Ren,"We propose a gender classifier using two types of local features, the gradient features which
have strong discrimination capability on local patterns, and the Gabor wavelets which reflect
the multi-scale directional information. The Real Ad a Boost algorithm with complexity …",14971999530725104628,20,Gender recognition using complexity-aware local features,
524,H Roy|D Bhattacharjee,"This paper proposes a novel method called local-gravity-face (LG-face) for illumination-
invariant and heterogeneous face recognition (HFR). LG-face employs a concept called the
local gravitational force angle (LGFA). The LGFA is the direction of the gravitational force …",13522108911942152794,28,Local-Gravity-Face (LG-face) for Illumination-Invariant and Heterogeneous Face Recognition,https://www.researchgate.net/profile/Hiranmoy_Roy2/publication/294277952_Local-Gravity-Face_LG-face_for_Illumination-Invariant_and_Heterogeneous_Face_Recognition/links/5a003ff30f7e9bb898dd3ba7/Local-Gravity-Face-LG-face-for-Illumination-Invariant-and-Heterogeneous-Face-Recognition.pdf
525,A Dhall|A Asthana|R Goecke,"With simple cost effective imaging solutions being widely available these days, there has
been an enormous rise in the number of images consumers have been taking. Due to this
increase, searching, browsing and managing images in multi-media systems has become …",14114236880844069023,21,Facial expression based automatic album creation,https://pdfs.semanticscholar.org/79db/191ca1268dc88271abef3179c4fe4ee92aed.pdf
526,THN Le|M Savvides,"In this paper, we propose a novel joint formulation of feature-based active contour (FAC) and
prior shape constraints (CS) for lips/mouth segmentation in the wild. Our proposed SC-FAC
model is able to robustly segment the lips/mouth that belongs to a given mouth shape space …",12726492175890455528,19,A novel shape constrained feature-based active contour model for lips/mouth segmentation in the wild,https://www.andrew.cmu.edu/user/thihoanl/paper/LIP_PR2017.pdf
527,X Peng|X Yu|K Sohn|DN Metaxas,"Deep neural networks (DNNs) trained on large-scale datasets have recently achieved
impressive improvements in face recognition. But a persistent challenge remains to develop
methods capable of handling large pose variations that are relatively under-represented in …",16802884321304536484,29,[PDF] Reconstruction-based disentanglement for pose-invariant face recognition,http://openaccess.thecvf.com/content_ICCV_2017/papers/Peng_Reconstruction-Based_Disentanglement_for_ICCV_2017_paper.pdf
528,N Le Roux|J Winn,"We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint
shape and appearance of foreground objects in cluttered images to be modeled
independently of the background. We present a learning scheme that learns this …",5102619960896055382,19,Weakly supervised learning of foreground-background segmentation using masked RBMs,https://arxiv.org/pdf/1107.3823
529,A Dhall|R Goecke|S Lucey,"Quality data recorded in varied realistic environments is vital for effective human face related
research. Currently available datasets for human facial expression analysis have been
generated in highly controlled lab environments. We present a new dynamic 2D facial …",16898554340095995125,19,[PDF] Acted facial expressions in the wild database,https://www.researchgate.net/profile/Roland_Goecke/publication/229049764_Acted_Facial_Expressions_In_The_Wild_Database/links/0912f5008023daa150000000.pdf
530,P Bodesheim|A Freytag|E Rodner,"In this paper, we propose using local learning for multiclass novelty detection, a framework
that we call local novelty detection. Estimating the novelty of a new sample is an extremely
challenging task due to the large variability of known object categories. The features used to …",6934060334546641217,22,Local novelty detection in multi-class recognition problems,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.679.4595&rep=rep1&type=pdf
531,J Tang|Y Song,"Many real-world face recognition applications can only provide single sample for each
person, while most face recognition approaches require a large set of training samples,
which leads to single sample per person (SSPP) problem. In this paper, we propose local …",6521599232073334353,25,Local structure based multi-phase collaborative representation for face recognition with single sample per person,
532,A Majumdar|R Singh|M Vatsa,"Autoencoders are deep learning architectures that learn feature representation by
minimizing the reconstruction error. Using an autoencoder as baseline, this paper presents
a novel formulation for a class sparsity based supervised encoder, termed as CSSE. We …",15567445638209476812,26,Face verification via class sparsity based supervised encoding,
533,L Cheng,"We consider a similarity-score based paradigm to address scenarios where either the class
labels are only partially revealed during learning, or the training and testing data are drawn
from heterogeneous sources. The learning problem is subsequently formulated as …",7528529916203425829,20,[PDF] Riemannian similarity learning,http://www.jmlr.org/proceedings/papers/v28/cheng13.pdf
534,T Lansdall-Welfare,"When analysing human activities using data mining or machine learning techniques, it can
be useful to infer properties such as the gender or age of the people involved. This paper
focuses on the sub-problem of gender recognition, which has been studied extensively in …",6097361957717374277,17,Gender classification by deep learning on millions of weakly labelled images,https://www.computer.org/csdl/proceedings/icdmw/2016/5910/00/07836703.pdf
535,B Bhattarai|G Sharma|F Jurie,"We propose a novel Coupled Projection multi-task Met-ric Learning (CP-mtML) method for
large scale face re-trieval. In contrast to previous works which were limited to low
dimensional features and small datasets, the proposed method scales to large datasets with …",3932641171585432189,23,Cp-mtml: Coupled projection multi-task metric learning for large scale face retrieval,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Bhattarai_CP-mtML_Coupled_Projection_CVPR_2016_paper.pdf
536,L Lenc|P Král,"The main goal of this paper is to propose and implement an experimental fully automatic
face recognition system which will be used to annotate photographs during insertion into a
database. Its main strength is to successfully process photos of a great number of different …",11119663089209060898,27,Automatic face recognition system based on the SIFT features,
537,A Kumar,"Accurate biometric identification under real environments is one of the most critical and
challenging tasks to meet growing demand for higher security. This paper proposes a new
framework to efficiently and accurately match periocular images that are automatically …",2781858316312793079,28,Accurate periocular recognition under less constrained environment using semantics-assisted convolutional neural network,http://www4.comp.polyu.edu.hk/~csajaykr/myhome/papers/TIFS2017.pdf
538,Y Wexler,"This work is motivated by the engineering task of achieving a near state-of-the-art face
recognition on a minimal computing budget running on an embedded system. Our main
technical contribution centers around a novel training method, called Multibatch, for …",14185572408448395238,24,Learning a metric embedding for face recognition using the multibatch method,https://arxiv.org/pdf/1605.07270
539,AV Savchenko,"An exhaustive search of all classes in pattern recognition methods cannot be implemented
in real-time, if the database contains a large number of classes. In this paper we introduce a
novel probabilistic approximate nearest-neighbor (NN) method. Despite the most of known …",2112177670206599403,17,Maximum-likelihood approximate nearest neighbor method in real-time image recognition,
540,J Roth|X Liu|A Ross|D Metaxas,"The goal of this paper is to determine whether keystroke sound can be used to recognize a
user. In this regard, we analyze the discriminative power of keystroke sound in the context of
a continuous user authentication application. Motivated by the concept of digraphs used in …",7958849928395113646,18,Investigating the discriminative power of keystroke sound,http://www.cse.msu.edu/~rossarun/pubs/RothLiuRossMetaxasKeystrokeAcoustics_TIFS2015.pdf
541,J Ren|X Jiang|J Yuan,"Local binary pattern (LBP) and its variants have been widely used in many recognition tasks.
Subspace approaches are often applied to the LBP feature in order to remove unreliable
dimensions, or to derive a compact feature representation. It is well-known that subspace …",7395546078260613761,20,A chi-squared-transformed subspace of LBP histogram for visual recognition,https://www.researchgate.net/profile/Jianfeng_Ren5/publication/273463074_A_Chi-Squared-Transformed_Subspace_of_LBP_Histogram_for_Visual_Recognition/links/5a178aff0f7e9be37f958fc1/A-Chi-Squared-Transformed-Subspace-of-LBP-Histogram-for-Visual-Recognition.pdf
542,F Zhao|J Feng|J Zhao|W Yang,"Face recognition techniques have been developed significantly in recent years. However,
recognizing faces with partial occlusion is still challenging for existing face recognizers,
which is heavily desired in real-world applications concerning surveillance and security …",6798939528678318263,17,Robust lstm-autoencoders for face de-occlusion in the wild,https://arxiv.org/pdf/1612.08534
543,X Zhao|S Yan,"Part-based methods have seen popular applications for face verification in the wild, since
they are more robust to local variations in terms of pose, illumination, and so on. However,
most of the part-based approaches are built on hand-crafted features, which may not be …",13639614845388275300,18,Convolutional fusion network for face verification in the wild,https://labicvl.github.io/docs/pubs/Chao_TCSVT_2016.pdf
544,,"Various human behaviors can be indicated by eye blink patterns. In this paper, we present a
method based on image processing techniques for detecting human eye blinks and
generating inter-eye-blink intervals. We applied Haar Cascade Classifier and Camshift …",14683864005473688839,19,[PDF] A method for real-time eye blink detection and its application,https://cpe.ku.ac.th/~jeab/papers/chinnawat_JCSSE2009.pdf
545,JP Robinson|M Shao|Y Wu|Y Fu,"We present the largest kinship recognition dataset to date, Families in the Wild (FIW).
Motivated by the lack of a single, unified dataset for kinship recognition, we aim to provide a
dataset that captivates the interest of the research community. With only a small team, we …",16748038516459692587,28,Families in the wild (fiw): Large-scale kinship image database and benchmarks,https://arxiv.org/pdf/1604.02182
546,CB Ng|YH Tay|BM Goi,"Applications such as human–computer interaction, surveillance, biometrics and intelligent
marketing would benefit greatly from knowledge of the attributes of the human subjects
under scrutiny. The gender of a person is one such significant demographic attribute. This …",9080025088619147111,21,A review of facial gender recognition,
547,W Wang|J Yang,"As one of the non-contact biometrics, face representation had been widely used in many
circumstances. However conventional methods could no longer satisfy the demand at
present, due to its low recognition accuracy and restrictions of many occasions. In this paper …",9908858269569098115,24,Face recognition based on deep learning,
548,A Bas|WAP Smith|T Bolkart|S Wuhrer,"In this paper we explore the problem of fitting a 3D morphable model to single face images
using only sparse geometric features (edges and landmark points). Previous approaches to
this problem are based on nonlinear optimisation of an edge-derived cost that can be …",8099566063400838385,27,Fitting a 3D morphable model to edges: A comparison between hard and soft correspondences,https://arxiv.org/pdf/1602.01125
549,J Neves|F Narducci|S Barra|H Proença,"Interest in the security of individuals has increased in recent years. This increase has in turn
led to much wider deployment of surveillance cameras worldwide, and consequently,
automated surveillance systems research has received more attention from the scientific …",6040114380391450473,24,Biometric recognition in surveillance scenarios: a survey,http://www.di.ubi.pt/~hugomcp/doc/BiometricsSurveillance_Survey.pdf
550,B Ni|AA Kassim,"The Convolutional Neural Network (CNN) has achieved great success in image
classification. The classification model can also be utilized at image or patch level for many
other applications, such as object detection and segmentation. In this paper, we propose a …",7390321595778995471,18,Half-CNN: a general framework for whole-image regression,https://arxiv.org/pdf/1412.6885
551,S Zafeiriou|A Papaioannou|I Kotsia,"Well-established benchmarks have been developed in the past 20 years for automatic facial
behaviour analysis. Nevertheless, for some important problems regarding analysis of facial
behaviour, such as (a) estimation of affect in a continuous dimensional space (eg, valence …",3200484001125586893,19,Facial Affect``In-The-Wild,https://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Zafeiriou_Facial_Affect_In-The-Wild_CVPR_2016_paper.pdf
552,R McPherson|R Shokri,"We demonstrate that modern image recognition methods based on artificial neural networks
can recover hidden information from images protected by various forms of obfuscation. The
obfuscation techniques considered in this paper are mosaicing (also known as pixelation) …",10687407709476928806,24,Defeating image obfuscation with deep learning,https://arxiv.org/pdf/1609.00408
553,M Liu|S Li|S Shan|X Chen,"Facial expression recognition is an important task in human-computer interaction. Some
methods work well on” lab-controlled” data. However, their performances degenerate
dramatically on real-world data as expression covers large variations, including pose …",16265914780954702381,20,Enhancing expression recognition in the wild with unlabeled reference data,https://pdfs.semanticscholar.org/061e/29eae705f318eee703b9e17dc0989547ba0c.pdf
554,C Shan,"Gender recognition is one of fundamental tasks of face image analysis. Most of the existing
studies have focused on face images acquired under controlled conditions. However, real-
world applications require gender classification on real-life faces, which is much more …",18442593745075879312,16,Gender classification on real-life faces,
555,X Jia|H Yang|KP Chan|I Patras,"Despite the great success of recent facial landmarks localization approaches, the presence
of occlusions significantly degrades the performance of the systems. However, very few
works have addressed this problem explicitly due to the high diversity of occlusion in real …",12480327506742145254,17,[PDF] Structured Semi-supervised Forest for Facial Landmarks Localization with Face Mask Reasoning.,http://www.bmva.org/bmvc/2014/files/paper068.pdf
556,WJ Scheirer|MJ Wilber|M Eckmann|TE Boult,"Recognition is the fundamental task of visual cognition, yet how to formalize the general
recognition problem for computer vision remains an open issue. The problem is sometimes
reduced to the simplest case of recognizing matching pairs, often structured to allow for …",12453573030242849004,17,Good recognition is non-metric,https://arxiv.org/pdf/1302.4673
557,P Luo|Z Zhu|Z Liu|X Tang,"The recent advanced face recognition systems were built on large Deep Neural Networks
(DNNs) or their ensembles, which have millions of parameters. However, the expensive
computation of DNNs make their deployment difficult on mobile and embedded devices …",1751151910420024298,30,[PDF] Face Model Compression by Distilling Knowledge from Neurons.,http://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/download/11977/12130
558,P Martins|J Batista,"This work presents a novel non-parametric Bayesian formulation for aligning faces in
unseen images. Popular approaches, such as the Constrained Local Models (CLM) or the
Active Shape Models (ASM), perform facial alignment through a local search, combining an …",15611861679387802125,20,Non-parametric bayesian constrained local models,https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Martins_Non-Parametric_Bayesian_Constrained_2014_CVPR_paper.pdf
559,VM Patel,"We present a method to combine the Fisher vector representation and the Deep
Convolutional Neural Network (DCNN) features to generate a rerpesentation, called the
Fisher vector encoded DCNN (FV-DCNN) features, for unconstrained face verification. One …",12398150673727467858,20,Fisher vector encoded deep convolutional features for unconstrained face verification,
560,,"Facial gender classification is an area studied in the Face Recognition Vendor Test (FRVT)
Still Facial Images Track. While peripheral to automated face recognition, it has become a
growing area of research, with potential use in various appli cations. The motivation for …",14977512653954619135,22,[BOOK] Face recognition vendor test (FRVT) performance of automated gender classification algorithms,https://nvlpubs.nist.gov/nistpubs/ir/2015/NIST.IR.8052.pdf
561,M Uřičář|V Franc|D Thomas|A Sugimoto,"We propose a real-time multi-view landmark detector based on Deformable Part Models
(DPM). The detector is composed of a mixture of tree based DPMs, each component
describing landmark configurations in a specific range of viewing angles. The usage of view …",16707951288333891288,18,Multi-view facial landmark detector learned by the Structured Output SVM,http://www.dgcv.nii.ac.jp/Publications/Papers/2016/ivc2016.pdf
562,S Chakraborty|SK Singh,"Local descriptors used in face recognition are robust in a sense that these descriptors
perform well in varying pose, illumination, and lighting conditions. The accuracy of these
descriptors depends on the precision of mapping the relationship that exists in the local …",1152103702486897368,16,Local gradient hexa pattern: A descriptor for face recognition and retrieval,
563,SR Arashloo|J Kittler,"We discuss the problem of pose invariant face recognition using a Markov Random Field
(MRF) model. MRF image to image matching has been shown to be very promising in earlier
studies (Arashloo and Kittler, 2011)[4]. Its demanding computational complexity has been …",14316860020689943911,17,Fast pose invariant face recognition using super coupled multiresolution Markov random fields on a GPU,
564,A Tefas|N Nikolaidis,"In this paper a novel method is introduced for propagating person identity labels on facial
images extracted from stereo videos. It operates on image data with multiple representations
and calculates a projection matrix that preserves locality information and a priori pairwise …",16508361280979367508,20,Person identity label propagation in stereo videos,http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/MM02014.pdf
565,P Dou|L Zhang|Y Wu|SK Shah,"Despite the great progress achieved in unconstrained face recognition, pose variations still
remain a challenging and unsolved practical issue. We propose a novel framework for multi-
view face recognition based on extracting and matching pose-robust face signatures from …",9544910467605619454,16,Pose-robust face signature for multi-view face recognition,http://cbl.uh.edu/pub_files/PF_PRFS_submission_btas2015_v11.pdf
566,L Shen,"With the aid of a universal facial variation dictionary, sparse representation based classifier
(SRC) has been naturally extended for face recognition (FR) with single sample per person
(SSPP) and achieved promising performance. However, extracting discriminative facial …",1893480775877774934,24,Joint and collaborative representation with local adaptive convolution feature for face recognition with single sample per person,https://pdfs.semanticscholar.org/7513/29a409865bb15ed6cef26b27b673357802c2.pdf
567,J Hu|J Lu|YP Tan,"This paper presents a sharable and individual multi-view metric learning (MvML) approach
for visual recognition. Unlike conventional metric leaning methods which learn a distance
metric on either a single type of feature representation or a concatenated representation of …",17624401141706711340,16,Sharable and individual multi-view metric learning,
568,Z Zhang|Y Xu|L Shao,"In this paper, we aim at learning compact and discriminative linear regression models.
Linear regression has been widely used in different problems. However, most of the existing
linear regression methods exploit the conventional zero-one matrix as the regression …",11086573981285604859,29,Discriminative elastic-net regularized linear regression,https://ueaeprints.uea.ac.uk/62129/1/ENLR.pdf
569,Z Hu|Y Wen|J Wang|M Wang,"Age estimation based on the human face remains a significant problem in computer vision
and pattern recognition. In order to estimate an accurate age or age group of a facial image,
most of the existing algorithms require a huge face data set attached with age labels. This …",17721448535429878837,24,Facial age estimation with age difference,
570,V Mishra|SS Sapatnekar,"Today's methodologies for electromigration (EM) identify EM-susceptible wires based on
their current density, using the Blech criterion to filter out wires that are EM-immortal. The
Blech criterion is agnostic to the product lifetime and temperature conditions: many Blech …",13433721215124714259,16,Predicting electromigration mortality under temperature and product lifetime specifications,http://people.ece.umn.edu/~harj../sachin/conf/dac16vm.pdf
571,M Zollhöfer|A Tewari|J Thies,"We introduce InverseFaceNet, a deep convolutional inverse rendering framework for faces
that jointly estimates facial pose, shape, expression, reflectance and illumination from a
single input image in a single shot. By estimating all these parameters from just a single …",15918745883646870692,21,Inversefacenet: Deep single-shot inverse face rendering from a single image,https://arxiv.org/pdf/1703.10956
572,ML Smith|LN Smith,"The identification of visual cues in facial images has been widely explored in the broad area
of computer vision. However theoretical analyses are often not transformed into widespread
assistive Human-Computer Interaction (HCI) systems, due to factors such as inconsistent …",13923399941603942853,20,Gender and gaze gesture recognition for human-computer interaction,http://eprints.uwe.ac.uk/28497/3/CVIU_revision_3.pdf
573,L Lin|Y Shi|X Liang,"Face hallucination is a domain-specific super-resolution problem with the goal to generate
high-resolution (HR) faces from low-resolution (LR) input images. In contrast to existing
methods that often learn a single patch-to-patch mapping from LR to HR images and are …",2553223462943257945,43,[PDF] Attention-aware face hallucination via deep reinforcement learning,http://openaccess.thecvf.com/content_cvpr_2017/papers/Cao_Attention-Aware_Face_Hallucination_CVPR_2017_paper.pdf
574,K Nguyen|C Fookes|R Jillela|A Ross,"The term “iris” refers to the highly textured annular portion of the human eye that is externally
visible. An iris recognition system exploits the richness of these textural patterns to
distinguish individuals. Iris recognition systems are being used in a number of human …",17600380972063363704,27,Long range iris recognition: A survey,https://www.researchgate.net/profile/Kien_Nguyen26/publication/317229764_Long_Range_Iris_Recognition_A_Survey/links/59f3ecfcaca272607e2924b6/Long-Range-Iris-Recognition-A-Survey.pdf
575,CX Ren|Z Lei|SZ Li,"Robust descriptor-based subspace learning with complex data is an active topic in pattern
analysis and machine intelligence. A few researches concentrate the optimal design on
feature representation and metric learning. However, traditionally used features of single …",17431697467332501809,21,Enhanced local gradient order features and discriminant analysis for face recognition,http://or.nsfc.gov.cn/bitstream/00001903-5/333815/1/1000014194817.pdf
576,X Cheng|J Saragih,"Abstract Active Appearance Models (AAMs) employ a paradigm of inverting a synthesis
model of how an object can vary in terms of shape and appearance. As a result, the ability of
AAMs to register an unseen object image is intrinsically linked to two factors. First, how well …",5504278484418875480,17,Rank minimization across appearance and shape for aam ensemble fitting,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Cheng_Rank_Minimization_across_2013_ICCV_paper.pdf
577,L Leal-Taixé|A Milan|K Schindler|D Cremers,"Standardized benchmarks are crucial for the majority of computer vision applications.
Although leaderboards and ranking tables should not be over-claimed, benchmarks often
provide the most objective measure of performance and are therefore important guides for …",14607762457739310154,29,Tracking the trackers: an analysis of the state of the art in multiple object tracking,https://arxiv.org/pdf/1704.02781
578,Q Liu|A Puthenputhussery|C Liu,"An innovative inheritable Fisher vector feature (IFVF) method is presented in this paper for
kinship verification. Specifically, Fisher vector is first derived for each image by aggregating
the densely sampled SIFT features in the opponent color space. Second, a new inheritable …",13055229486486972751,19,Inheritable fisher vector feature for kinship verification,https://web.njit.edu/~avp38/publications/ifvf_btas15.pdf
579,ZN Chen|CW Ngo|W Zhang|J Cao,"Associating faces appearing in Web videos with names presented in the surrounding
context is an important task in many applications. However, the problem is not well
investigated particularly under large-scale realistic scenario, mainly due to the scarcity of …",5672601912144152772,17,"Name-face association in web videos: A large-scale dataset, baselines, and open issues",http://vireo.cs.cityu.edu.hk/papers/Chen-JCST2014.pdf
580,L Behera,"This paper presents a novel automatic facial expressions recognition system (AFERS) using
the deep network framework. The proposed AFERS consists of four steps: 1) geometric
features extraction; 2) regional local binary pattern (LBP) features extraction; 3) fusion of …",5870407142149724893,15,Automatic facial expression recognition system using deep network-based data fusion,
581,J Sullivan|H Li,"Predicting facial attributes from faces in the wild is very challenging due to pose and lighting
variations in the real world. The key to this problem is to build proper feature representations
to cope with these unfavourable conditions. Given the success of Convolutional Neural …",1703544934043282773,21,Leveraging mid-level deep representations for predicting face attributes in the wild,https://arxiv.org/pdf/1602.01827
582,S Lee,"This study treats the problem of coarse head pose estimation from a facial image as a
multiclass classification problem. Head pose estimation continues to be a challenge for
computer vision systems because extraneous characteristics and factors that lack pose …",1535469824432354612,16,Head pose estimation using image abstraction and local directional quaternary patterns for multiclass classification,
583,OK Manyam|N Kumar|P Belhumeur,"Face recognition systems classically recognize people individually. When presented with a
group photograph containing multiple people, such systems implicitly assume statistical
independence between each detected face. We question this basic assumption and …",1897461844723342362,18,Two faces are better than one: Face recognition in group photographs,https://cloudfront.escholarship.org/dist/prd/content/qt472710b0/qt472710b0.pdf
584,,"In this paper, a simple and fast algorithm was proposed to detect face. Firstly, some interest
points marking skin regions were searched by only using simple chrominance Cr
information instead of simultaneously using chrominance Cr and Cb. And then, a …",12736982001700847490,15,Fast face detection based on skin color segmentation using single chrominance Cr,
585,S Sankaranarayanan,"We present an algorithm for unconstrained face verification using Fisher vectors computed
from frontalized off-frontal gallery and probe faces. In the training phase, we use the Labeled
Faces in the Wild (LFW) dataset to learn the Fisher vector encoding and the joint Bayesian …",2080859701543583667,16,Unconstrained face verification using fisher vectors computed from frontalized faces,https://pdfs.semanticscholar.org/de14/88fde431a61322ea3fbc89a103c79760ca50.pdf
586,L El Shafey|E Khoury|S Marcel,"The problem of gender recognition using visual and acoustic cues has recently received
significant attention. This paper explores the use of Total Variability (i-vectors) and Inter-
Session Variability (ISV) modeling techniques for both unimodal and bimodal gender …",13660217533019007545,16,Audio-visual gender recognition in uncontrolled environment using variability modeling techniques,http://publications.idiap.ch/downloads/papers/2014/ElShafey_IJCB_2014.pdf
587,G Hu|CH Chan|W Deng|W Christmas,"We address the problem of 3D-assisted 2D face recognition in scenarios when the input
image is subject to degradations or exhibits intra-personal variations not captured by the 3D
model. The proposed solution involves a novel approach to learn a subspace spanned by …",17360059141080648291,22,Face recognition using a unified 3d morphable model,https://pure.qub.ac.uk/portal/files/74442945/eccv2016submission.pdf
588,R Jesus|N Correia,"Face annotation is an important concept for personal memories retrieval. Using automatic
face recognition to annotate and find people in those memories provides an improvement of
a personal memories management system. However, its results are limited by the …",16957691005784041930,15,Face recognition and gender classification in personal memories,https://www.researchgate.net/profile/Rui_Jesus/publication/224461228_Face_recognition_and_gender_classification_in_personal_memories/links/02e7e51a78d7a043a8000000/Face-recognition-and-gender-classification-in-personal-memories.pdf
589,PJ Phillips|MQ Hill,"Face recognition by machines has improved substantially in the past decade and now is at a
level that compares favorably with humans for frontal faces acquired by digital single lens
reflex cameras. We expand the comparison between humans and algorithms to still images …",10609099597035468798,19,Human and algorithm performance on the PaSC face recognition challenge,
590,G Hu|X Peng|Y Yang|TM Hospedales,"Deep convolutional neural networks have recently proven extremely effective for difficult
face recognition problems in uncontrolled settings. To train such networks, very large
training sets are needed with millions of labeled images. For some applications, such as …",8843826214168205381,29,Frankenstein: Learning deep face representations using small data,https://arxiv.org/pdf/1603.06470
591,D Hall|P Perona,"A method for online, real-time tracking of objects is presented. Tracking is treated as a
repeated detection problem where potential target objects are identified with a pre-trained
category detector and object identity across frames is established by individual-specific …",6383546901735777202,15,"Online, real-time tracking using a category-to-individual detector",https://authors.library.caltech.edu/47563/1/ECCV2014_HALL.pdf
592,T Danisman|IM Bilasco|J Martinet,"In this paper, we propose a novel gender recognition framework based on a fuzzy inference
system (FIS). Our main objective is to study the gain brought by FIS in presence of various
visual sensors (eg, hair, mustache, inner face). We use inner and outer facial features to …",3467756152243697079,17,Boosting gender recognition performance with a fuzzy inference system,http://www.cristal.univ-lille.fr/~martinej/papers/2015/danisman15boosting.pdf
593,Z Xia|L Li,"Automatic facial expression recognition (FER) plays an important role in many fields.
However, most existing FER techniques are devoted to the tasks in the constrained
conditions, which are different from actual emotions. To simulate the spontaneous …",16823506401650415097,20,Towards facial expression recognition in the wild: A new database and deep recognition system,https://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w28/papers/Peng_Towards_Facial_Expression_CVPR_2016_paper.pdf
594,J Wang|M Wang|P Li|Z Zhao,"Online selection of dynamic features has attracted intensive interest in recent years.
However, existing online feature selection methods evaluate features individually and
ignore the underlying structure of a feature stream. For instance, in image analysis, features …",17187804879270550801,31,Online feature selection with group structure analysis,https://arxiv.org/pdf/1608.05889
595,R Shyam|YN Singh,"A biometric system which primarily based on the cues of unimodal biometric for individual
identification is not always meet the desired results. The concept of multimodal biometrics for
human Identification is an emerging trend. In this paper, we present state-of-the-art novel …",12077840991839257020,18,Identifying individuals using multimodal face recognition techniques,https://www.sciencedirect.com/science/article/pii/S1877050915006596/pdf?md5=e0c1f4810ec1d57c99de83f22cd3e543&isDTMRedir=Y&pid=1-s2.0-S1877050915006596-main.pdf&_valck=1
596,J Zhang|M Kan|S Shan|X Chen,"Facial landmark detection, as a vital topic in computer vision, has been studied for many
decades and lots of datasets have been collected for evaluation. These datasets usually
have different annotations, eg, 68-landmark markup for LFPW dataset, while 74-landmark …",18313032662692210069,16,Leveraging datasets with varying annotations for face alignment via deep regression network,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Leveraging_Datasets_With_ICCV_2015_paper.pdf
597,A Dantcheva|A Ross,"Recent research has demonstrated the negative impact of makeup on automated face
recognition. In this work, we introduce a patch-based ensemble learning method, which
uses multiple subspaces generated by sampling patches from before-makeup and after …",16175989977453699572,21,An ensemble of patch-based subspaces for makeup-robust face recognition,http://www.cse.msu.edu/~rossarun/pubs/ChenDantchevaRoss_FaceMakeupINFFUS2016.pdf
598,R Vemulapalli|DW Jacobs,"Over the past few years, symmetric positive definite (SPD) matrices have been receiving
considerable attention from computer vision community. Though various distance measures
have been proposed in the past for comparing SPD matrices, the two most widely-used …",1975336901469872082,17,Riemannian metric learning for symmetric positive definite matrices,https://arxiv.org/pdf/1501.02393
599,X Fan|H Wang,"Automatic extraction of fiducial facial points is one of the key steps to face tracking,
recognition and animation. Great facial variations, especially pose or viewpoint changes,
typically degrade the performance of classical methods. Recent learning or regression …",8041932298200124515,15,Fiducial facial point extraction using a novel projective invariant.,https://www.researchgate.net/profile/Xin_Fan6/publication/270907365_Fiducial_Facial_Point_Extraction_Using_a_Novel_Projective_Invariant/links/550274e90cf2d60c0e63725b/Fiducial-Facial-Point-Extraction-Using-a-Novel-Projective-Invariant.pdf
600,D Wang|X Wang|S Kong,"Recent research emphasizes more on analyzing multiple features to improve face
recognition (FR) performance. One popular scheme is to extend the sparse representation
based classification framework with various sparse constraints. Although these methods …",13989457208653580856,16,Integration of multi-feature fusion and dictionary learning for face recognition,
601,EM Hand|R Chellappa,"Attributes, or mid-level semantic features, have gained popularity in the past few years in
domains ranging from activity recognition to face verification. Improving the accuracy of
attribute classifiers is an important first step in any application which uses these attributes. In …",5609758117673331298,31,[PDF] Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification.,http://www.aaai.org/ocs/index.php/AAAI/AAAI17/paper/download/14749/14282
602,SMM Rahman|D Hatzinakos,"Sparse representation of images using orthogonal two-dimensional Krawtchouk moments
(2D KCMs) for face recognition is motivated by their ability to capture region-based higher-
order hidden nonlinear structures from discrete coordinates of finitely supported images and …",14384736822965752601,18,On the selection of 2D Krawtchouk moments for face recognition,
603,R He|X Wu|Z Sun,"Visual versus near infrared (VIS-NIR) face recognition is still a challenging heterogeneous
task due to large appearance difference between VIS and NIR modalities. This paper
presents a deep convolutional network approach that uses only one network to map both …",14441221286523329081,29,[PDF] Learning Invariant Deep Representation for NIR-VIS Face Recognition.,http://www.aaai.org/ocs/index.php/AAAI/AAAI17/paper/download/14253/14366
604,M Tistarelli|Y Sun|N Poh,"© 2014 IEEE. Facial imaging has been largely addressed for automatic personal
identification, in a variety of different environments. However, automatic face recognition
becomes very challenging whenever the acquisition conditions are unconstrained. In this …",4999786854026147514,16,On the use of discriminative cohort score normalization for unconstrained face recognition,http://epubs.surrey.ac.uk/812523/1/yunlian_TIFS2014.pdf
605,,"Fast face detection is one of the key components of various computer vision applications.
Viola-Jones algorithm provides a good and fast detection for low and medium resolution
images. This paper proposes a new and fast approach to perform real time face detection …",14182355379022082669,14,[PDF] Fast face detection using graphics processor,http://www.academia.edu/download/6785167/ijcsit2011020328.pdf
606,,"Tattoos have been used for many years to assist law enforcement in investigations leading
to the identification of criminals and victims. A tattoo is an elective biometric trait that could
contain more discriminative information to support person identification than traditional soft …",8524470444626246940,18,Tattoo recognition technology-challenge (Tatt-C): an open tattoo database for developing tattoo recognition research,http://ws680.nist.gov/publication/get_pdf.cfm?pub_id=917896
607,L Wolf,"Deep learning techniques are renowned for supporting effective transfer learning. However,
as we demonstrate, the transferred representations support only a few modes of separation
and much of its dimensionality is unutilized. In this work we suggest to learn, in the source …",10151461815314088575,17,The multiverse loss for robust transfer learning,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Littwin_The_Multiverse_Loss_CVPR_2016_paper.pdf
608,M De Marsico|M Nappi,"In this chapter, the authors discuss the main outcomes from both the most recent literature
and the research activities summarized in this book. Of course, a complete review is not
possible. It is evident that each issue related to face recognition in adverse conditions can …",10905503320578556905,15,Face recognition in adverse conditions: A look at achieved advancements,https://www.di.ubi.pt/~hugomcp/doc/IGI_Face.pdf
609,K Sohn|S Liu|G Zhong|X Yu,"Despite rapid advances in face recognition, there remains a clear gap between the
performance of still image-based face recognition and video-based face recognition, due to
the vast difference in visual quality between the domains and the difficulty of curating diverse …",2072282118799204910,21,[PDF] Unsupervised domain adaptation for face recognition in unlabeled videos,http://openaccess.thecvf.com/content_ICCV_2017/papers/Sohn_Unsupervised_Domain_Adaptation_ICCV_2017_paper.pdf
610,Y Wu|SK Shah|IA Kakadiaris,"In spite of recent progress achieved in near-frontal face recognition, the problem of pose
variations prevalent in 2D facial images captured in the wild still remains a challenging and
unsolved issue. Among existing approaches of pose-invariant face recognition, 3D-aided …",9950709550955781504,14,Rendering or normalization? An analysis of the 3D-aided pose-invariant face recognition,http://cbl.uh.edu/pub_files/ISBA-2016.pdf
611,M Castrillón-Santana|J Lorenzo-Navarro,"OpenCV includes different object detectors based on the Viola-Jones framework. Most of
them are specialized to deal with the frontal face pattern and its inner elements: eyes, nose,
and mouth. In this paper, we focus on the ear pattern detection, particularly when a head …",13085180639313701688,15,An study on ear detection and its applications to face detection,https://www.researchgate.net/profile/Modesto_Castrillon_Santana/publication/221274951_An_Study_on_Ear_Detection_and_Its_Applications_to_Face_Detection/links/57f1099808ae8da3ce4e8505/An-Study-on-Ear-Detection-and-Its-Applications-to-Face-Detection.pdf
612,A Dhall|R Goecke,"Abstract Autism Spectrum Disorders (ASD), often referred to as autism, are neurological
disorders characterised by deficits in cognitive skills, social and communicative behaviours.
A common way of diagnosing ASD is by studying behavioural cues expressed by the …",6027723978117539357,15,Self-stimulatory behaviours in the wild for autism diagnosis,https://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W22/papers/Rajagopalan_Self-Stimulatory_Behaviours_in_2013_ICCV_paper.pdf
613,K Kirtac,"Face recognition approaches that are based on deep convolutional neural networks (CNN)
have been dominating the field. The performance improvements they have provided in the
so called in-the-wild datasets are significant, however, their performance under image …",12343109010716898729,23,How image degradations affect deep cnn-based face recognition?,https://arxiv.org/pdf/1608.05246
614,MA Hasnat,"Face recognition (FR) methods report significant performance by adopting the convolutional
neural network (CNN) based learning methods. Although CNNs are mostly trained by
optimizing the softmax loss, the recent trend shows an improvement of accuracy with …",10139178231286103373,14,[PDF] DeepVisage: Making face recognition simple yet with powerful generalization skills.,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Hasnat_DeepVisage_Making_Face_ICCV_2017_paper.pdf
615,A Freytag|E Rodner|M Simon,"In this paper, we investigate how to predict attributes of chimpanzees such as identity, age,
age group, and gender. We build on convolutional neural networks, which lead to
significantly superior results compared with previous state-of-the-art on hand-crafted …",4082217520088614229,20,Chimpanzee faces in the wild: Log-euclidean cnns for predicting identities and attributes of primates,http://hera.inf-cv.uni-jena.de:6680/pdf/Freytag16_CFW.pdf
616,Y Liu|H Li|X Wang,"Feature matters. How to train a deep network to acquire discriminative features across
categories and polymerized features within classes has always been at the core of many
computer vision tasks, specially for large-scale recognition systems where test identities are …",15241546108587692771,26,Rethinking feature discrimination and polymerization for large-scale recognition,https://arxiv.org/pdf/1710.00870
617,S Han|M Philipose,"Much has been said recently on off-loading computations from the phone. In particular,
workloads such as speech and visual recognition that involve models based on “big data”
are thought to be prime candidates for cloud processing. We posit that the next few years will …",13740782951007655700,14,[PDF] The Case for Onloading Continuous High-Datarate Perception to the Phone.,https://www.usenix.org/system/files/conference/hotos13/hotos13-final44.pdf
618,Q Wang|W Zuo|L Zhang|P Li,"Conventional pairwise constrained metric learning methods usually restrict the distance
between samples of a similar pair to be lower than a fixed upper bound, and the distance
between samples of a dissimilar pair higher than a fixed lower bound. Such fixed bound …",15023555108364982818,17,Shrinkage expansion adaptive metric learning,https://pdfs.semanticscholar.org/e9a4/1f856a474aa346491fe76151869e3f548172.pdf
619,R Laganiere|WS Lee,"In this paper, we present a complete framework for video-based age and gender
classification which performs accurately on embedded systems in real-time and under
unconstrained conditions. We propose a segmental dimensionality reduction technique …",637089704474783168,16,Real-time embedded age and gender classification in unconstrained video,https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf
620,EJ Crowley|OM Parkhi|A Zisserman,"We study the problem of matching photos of a person to paintings of that person, in order to
retrieve similar paintings given a query photo. This is challenging as paintings span many
media (oil, ink, watercolor) and can vary tremendously in style (caricature, pop art …",1822881607450877684,18,[PDF] Face Painting: querying art with photos.,https://pdfs.semanticscholar.org/3552/4e63c11f13fe08b2996a7bc0a9105e7c407b.pdf
621,J Lezama|Q Qiu|G Sapiro,"Surveillance cameras today often capture NIR (near infrared) images in low-light
environments. However, most face datasets accessible for training and verification are only
collected in the VIS (visible light) spectrum. It remains a challenging problem to match NIR to …",7506547143263619277,27,[PDF] Not afraid of the dark: Nir-vis face recognition via cross-spectral hallucination and low-rank embedding,http://openaccess.thecvf.com/content_cvpr_2017/papers/Lezama_Not_Afraid_of_CVPR_2017_paper.pdf
622,颜云辉,"摘要针对当前局部二值模式(Local binary pattern, LBP) 方法表现出的理论和实际应用价值,
系统综述了在纹理分析和分类, 人脸分析和识别以及其他检测与应用中的各种LBP 方法. 首先,
简要概述了LBP 方法的原理, 主要分析了LBP 方法中的阈值操作并介绍了统一模式和旋转不 …",7151878142411176964,48,[PDF] 局部二值模式方法研究与展望,http://aas.net.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=18099
623,MJ Wilber|E Rudd|YM Lui,"When implementing real-world computer vision systems, researchers can use mid-level
representations as a tool to adjust the trade-off between accuracy and efficiency.
Unfortunately, existing mid-level representations that improve accuracy tend to decrease …",15724333986432524872,16,Exemplar codes for facial attributes and tattoo recognition,https://www.researchgate.net/profile/Terrance_Boult/publication/269299904_Exemplar_codes_for_facial_attributes_and_tattoo_recognition/links/5662fa7408ae418a786ba20a/Exemplar-codes-for-facial-attributes-and-tattoo-recognition.pdf
624,VB Subburaman|SB Marcel,"The sliding window approach is the most widely used technique to detect an object from an
image. In the past few years, classifiers have been improved in many ways to increase the
scanning speed. Apart from the classifier design (such as the cascade), the scanning speed …",2516503819709663930,13,Alternative search techniques for face detection using location estimation and binary features,https://infoscience.epfl.ch/record/192647/files/Subburaman_THESIS_2012.pdf
625,HJ Hsu|KT Chen,"Drones, as known as unmanned aerial vehicles (UAV), are aircrafts which can perform
autonomous pilot. They can easily reach locations which are too difficult to reach or
dangerous for human beings and collect images from bird's-eye view through aerial …",5670973787591946674,19,Face recognition on drones: Issues and limitations,http://dirl.iis.sinica.edu.tw/pub/hsu15_face_on_drones.pdf
626,P Liu|S Han|Y Tong,"Facial activity is the most direct signal for perceiving emotional states in people. Emotion
analysis from facial displays has been attracted an increasing attention because of its wide
applications from human-centered computing to neuropsychiatry. Recently, image …",476298563541419923,13,Improving facial expression analysis using histograms of log-transformed nonnegative sparse representation with a spatial pyramid structure,https://par.nsf.gov/servlets/purl/10015079
627,Y Tai|J Yang|L Luo|J Qian,"A linear regression-based method is a hot topic in face recognition community. Recently,
sparse representation and collaborative representation-based classifiers for face recognition
have been proposed and attracted great attention. However, most of the existing regression …",13845051508993836543,17,Face recognition with pose variations and misalignment via orthogonal procrustes regression,
628,V Santarcangelo|GM Farinella,"Digital Out Of Home (DOOH) applications which exploit computer vision algorithms to
automatically collect soft biometrics of people in front a smart screen are of great interest for
industry. In the last years many gender recognition pipelines have been proposed in …",14900149189222184582,16,"Gender recognition: methods, datasets and results",https://www.researchgate.net/profile/Giovanni_Farinella/publication/304534274_Gender_Recognition_Methods_Dataset_and_Results/links/58b1875a45851503be9ae7b3/Gender-Recognition-Methods-Dataset-and-Results.pdf
629,S Li|X Liu|X Chai,"Due to the misalignment of image features, the performance of many conventional face
recognition methods degrades considerably in across pose scenario. To address this
problem, many image matching-based methods are proposed to estimate semantic …",14936362648479867729,16,Maximal likelihood correspondence estimation for face recognition across pose,http://www.jdl.ac.cn/doc/2011/201511617525582501_2014_tip_mlce_published_final_version.pdf
630,F Wang|J Cheng|W Liu|H Liu,"In this letter, we propose a conceptually simple and intuitive learning objective function, ie,
additive margin softmax, for face verification. In general, face verification tasks can be
viewed as metric learning problems, even though lots of face verification models are trained …",12037509454633593474,47,Additive margin softmax for face verification,https://arxiv.org/pdf/1801.05599
631,X Yin|X Liu,"Among many applications of machine vision, plant image analysis has recently began to
gain more attention due to its potential impact on plant visual phenotyping, particularly in
understanding plant growth, assessing the quality/performance of crop plants, and …",4116883767108267567,18,Multi-modality imagery database for plant phenotyping,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.710.1603&rep=rep1&type=pdf
632,A Ouamane|M Bengherabi|A Hadid,"Recently, there is an extensive research efforts devoted to the challenging problem of face
verification in unconstrained settings and weakly labeled data, where the task is to
determine whether pairs of images are from the same person or not. In this paper, we …",7644212121102916825,20,Side-information based exponential discriminant analysis for face verification in the wild,https://www.researchgate.net/profile/Abdelmalik_Ouamane/publication/282019193_Side-Information_based_Exponential_Discriminant_Analysis_for_Face_Verification_in_the_Wild/links/5617e0f108ae88df90e03dbd.pdf
633,M Xi|L Chen|W Tong,"Deep learning is well known as a method to extract hierarchical representations of data. This
method has been widely implemented in many fields, including image classification, speech
recognition, natural language processing, etc. Over the past decade, deep learning has …",16249350012628258186,27,[PDF] Local binary pattern network: A deep learning approach for face recognition.,https://core.ac.uk/download/pdf/84873504.pdf
634,J Deng|S Cheng|Y Zhou,"Recently proposed robust 3D face alignment methods establish either dense or sparse
correspondence between a 3D face model and a 2D facial image. The use of these methods
presents new challenges as well as opportunities for facial texture analysis. In particular, by …",2886768725402481766,13,Uv-gan: Adversarial facial uv map completion for pose-invariant face recognition,http://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_UV-GAN_Adversarial_Facial_CVPR_2018_paper.pdf
635,Y Xiong|X Tang,"The archetype hull model is playing an important role in large-scale data analytics and
mining, but rarely applied to vision problems. In this paper, we migrate such a geometric
model to address face recognition and verification together through proposing a unified …",1524883193703742911,15,Face recognition via archetype hull ranking,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Xiong_Face_Recognition_via_2013_ICCV_paper.pdf
636,J Lu|J Hu|YP Tan,"This paper presents a new discriminative deep metric learning (DDML) method for face and
kinship verification in wild conditions. While metric learning has achieved reasonably good
performance in face and kinship verification, most existing metric learning methods aim to …",8204827820388790183,37,Discriminative deep metric learning for face and kinship verification,
637,A Alfalou|C Brosseau,"In recent years, correlation-filter (CF)-based face recognition algorithms have attracted
increasing interest in the field of pattern recognition and have achieved impressive results in
discrimination, efficiency, location accuracy, and robustness. In this tutorial paper, our goal is …",7456764094155947601,20,New perspectives in face correlation research: a tutorial,https://www.osapublishing.org/viewmedia.cfm?uri=aop-9-1-1&seq=0
638,RX Ding|DK Du|ZH Huang|K Shang,"The single sample per person (SSPP) problem is of great importance for real-world face
recognition systems. In SSPP scenario, there is always a large gap between a normal
sample enrolled in the gallery set and the non-ideal probe sample. It is a crucial step for face …",3422449799268437925,16,Variational feature representation-based classification for face recognition with single sample per person,https://www.researchgate.net/profile/Zhiming_Li/publication/275219132_Variational_Feature_Representation-based_Classification_for_face_recognition_with_single_sample_per_person/links/5ba30c27299bf13e603e4605/Variational-Feature-Representation-based-Classification-for-face-recognition-with-single-sample-per-person.pdf
639,T Bouwmans|S Javed|H Zhang|Z Lin,"Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse
matrices offers a powerful framework for a large variety of applications such as image
processing, video processing, and 3-D computer vision. Indeed, most of the time these …",16434884032390595473,13,On the applications of robust PCA in image and video processing,https://hal.archives-ouvertes.fr/hal-01891028/document
640,I Masi|FJ Chang|J Choi|J Kim,"We propose a method designed to push the frontiers of unconstrained face recognition in
the wild with an emphasis on extreme out-of-plane pose variations. Existing methods either
expect a single model to learn pose invariance by training on massive amounts of data or …",3873986935263328491,13,Learning pose-aware models for pose-invariant face recognition in the wild,
641,DK Pal|F Juefei-Xu|M Savvides,"We propose an explicitly discriminative andsimple'approach to generate invariance to
nuisance transformations modeled as unitary. In practice, the approach works well to handle
non-unitary transformations as well. Our theoretical results extend the reach of a recent …",5888095304529474317,18,Discriminative invariant kernel features: a bells-and-whistles-free approach to unsupervised face recognition and pose estimation,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Pal_Discriminative_Invariant_Kernel_CVPR_2016_paper.pdf
642,Y Xu|B Zhang|J Yang|J You,"Conventional dictionary learning algorithms suffer from the following problems when applied
to face recognition. First, since in most face recognition applications there are only a limited
number of original training samples, it is difficult to obtain a reliable dictionary with a large …",810461345258559275,23,"Sample diversity, representation effectiveness and robust dictionary learning for face recognition",
643,J Gu|X Yang|S De Mello,"Facial analysis in videos, including head pose estimation and facial landmark localization, is
key for many applications such as facial animation capture, human activity recognition, and
human-computer interaction. In this paper, we propose to use a recurrent neural network …",2434610336440302270,13,Dynamic facial analysis: From Bayesian filtering to recurrent neural network,http://openaccess.thecvf.com/content_cvpr_2017/papers/Gu_Dynamic_Facial_Analysis_CVPR_2017_paper.pdf
644,L Wolf|R Shweka,"The Cairo Genizah is a collection of hand-written documents containing approximately
350,000 fragments of mainly Jewish texts discovered in the late 19th century. The fragments
are today spread out in some 75 libraries and private collections worldwide, but there is an …",1882582832953771365,15,[BOOK] Automatic Palaeographic Exploration of Genizah Manuscripts,http://kups.ub.uni-koeln.de/4348/1/10_dershowitz.pdf
645,C Wang,"Many machine learning problems involve dealing with a large amount of high-dimensional
data across diverse domains. In addition, annotating or labeling the data is expensive as it
involves significant human effort. This dissertation explores a joint solution to both these …",15102064881281073913,15,A geometric framework for transfer learning using manifold alignment,https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1269&context=open_access_dissertations
646,B Kim|M Wattenberg|J Gilmer,"The interpretation of deep learning models is a challenge due to their size, complexity, and
often opaque internal state. In addition, many systems, such as image classifiers, operate on
low-level features rather than high-level concepts. To address these challenges, we …",3851819948477187965,13,Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav),http://proceedings.mlr.press/v80/kim18d/kim18d.pdf
647,KM Lam|ZY Dong|H Wang,"The one-sample-per-person problem has become an active research topic for face
recognition in recent years because of its challenges and significance for real-world
applications. However, achieving relatively higher recognition accuracy is still a difficult …",14136071164041081165,13,[HTML] Face recognition with multi-resolution spectral feature images,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0055700
648,A Sapkota|W Scheirer,"Face recognition in unconstrained environments is one of the most challenging problems in
biometrics. One vexing problem in unconstrained environments is that of scale; a face
captured at large distances is considerably harder to recognize than the same face at small …",6338217387127479844,13,Face-grab: Face recognition with general region assigned to binary operator,http://www.academia.edu/download/44445179/wjs_cswb2010_grab.pdf
649,K Cao|Y Rong|C Li|X Tang,"Face recognition achieves exceptional success thanks to the emergence of deep learning.
However, many contemporary face recognition models still perform relatively poor in
processing profile faces compared to frontal faces. A key reason is that the number of frontal …",12793601306613379851,13,Pose-robust face recognition via deep residual equivariant mapping,http://openaccess.thecvf.com/content_cvpr_2018/papers/Cao_Pose-Robust_Face_Recognition_CVPR_2018_paper.pdf
650,B Girod|H Chen|A Gallagher,"This paper introduces the new idea of describing people using first names. We show that
describing people in terms of similarity to a vector of possible first names is a powerful
representation of facial appearance that can be used for a number of important applications …",727445117239895186,13,The hidden sides of names-face modeling with first name attributes,
651,Z Chai|H Mendez-Vazquez|R He|Z Sun,"Feature extraction plays an important role in face recognition. Based on local binary patterns
(LBP), we propose a novel face representation method which obtains histograms of
semantic pixel sets based LBP (spsLBP) with a robust code voting (rcv). By clustering …",671346182951859917,14,Semantic pixel sets based local binary patterns for face recognition,http://www.nlpr.ia.ac.cn/2012papers/gjhy/gh80.pdf
652,KI Kou|Y Wang,"Collaborative representation-based classification (CRC) and sparse RC (SRC) have
recently achieved great success in face recognition (FR). Previous CRC and SRC are
originally designed in the real setting for grayscale image-based FR. They separately …",14388044951474645731,25,Quaternion collaborative and sparse representation with application to color face recognition,https://ieeeprojectsmadurai.com/matlab2016base/Quaternion%20Collaborative%20and%20Sparse%20Representation.pdf
653,W Huang|H Yin,"This paper presents a compact and efficient yet powerful binary framework based on image
gradients for robust facial representation. It is termed as Binary Gradient Patterns (BGP). To
discover underlying local structures in the gradient domain, image gradients are computed …",2843542708152026109,28,Robust face recognition with structural binary gradient patterns,https://arxiv.org/pdf/1506.00481
654,SM Safdarnejad|X Liu|L Udpa,"Considering the enormous creation rate of usergenerated videos on websites like YouTube,
there is an immediate need for automatic categorization, recognition and analysis of videos.
To develop algorithms for analyzing user-generated videos, unconstrained and …",10001086963759053928,16,Sports videos in the wild (SVW): A video dataset for sports analysis,http://www.cse.msu.edu/~liuxm/publication/Safdarnejad_Liu_Udpa_Andrus_Wood_Craven_FG2015.pdf
655,C Song|T Ristenpart,"Abstract Machine learning (ML) is becoming a commodity. Numerous ML frameworks and
services are available to data holders who are not ML experts but want to train predictive
models on their data. It is important that ML models trained on sensitive inputs (eg, personal …",9979296597528196756,36,Machine learning models that remember too much,https://arxiv.org/pdf/1709.07886
656,Y Wong|C Sanderson|S Mau,"While existing face recognition systems based on local features are robust to issues such as
misalignment, they can exhibit accuracy degradation when comparing images of differing
resolutions. This is common in surveillance environments where a gallery of high resolution …",3304308066814318850,13,Dynamic amelioration of resolution mismatches for local feature based identity inference,https://arxiv.org/pdf/1304.2133
657,M Harandi|M Salzmann|R Hartley,"To be tractable and robust to data noise, existing metric learning algorithms commonly rely
on PCA as a pre-processing step. How can we know, however, that PCA, or any other
specific dimensionality reduction technique, is the method of choice for the problem at …",1943021562754188889,21,[PDF] Joint dimensionality reduction and metric learning: A geometric take,https://infoscience.epfl.ch/record/229290/files/HarandiSalzmannHartleyICML17.pdf
658,Q Gao|F Nie,"Recently, L1-norm-based discriminant subspace learning has attracted much more attention
in dimensionality reduction and machine learning. However, most existing approaches solve
the column vectors of the optimal projection matrix one by one with greedy strategy. Thus …",13355649979438032040,32,A non-greedy algorithm for l1-norm lda,
659,K Sikka|G Sharma|M Bartlett,"We study the problem of facial analysis in videos. Our first contribution is a novel weakly
supervised learning method that models the video event (pain, expression etc.) as a
sequence of automatically mined, discriminative sub-events (eg. neutral face, raising brows …",2236325541024540673,23,Lomo: Latent ordinal model for facial analysis in videos,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Sikka_LOMo_Latent_Ordinal_CVPR_2016_paper.pdf
660,DF Fouhey|A Gupta|A Zisserman,"In this paper we investigate 3D attributes as a means to understand the shape of an object in
a single image. To this end, we make a number of contributions:(i) we introduce and define a
set of 3D Shape attributes, including planarity, symmetry and occupied space;(ii) we show …",3899456741998707323,17,3D shape attributes,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf
661,TSF Haines|T Xiang,"Classification is used to solve countless problems. Many real world computer vision
problems, such as visual surveillance, contain uninteresting but common classes alongside
interesting but rare classes. The rare classes are often unknown, and need to be discovered …",15567703225344856019,13,Active rare class discovery and classification using dirichlet processes,https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/11451/Xiang_active_discovery_IJCV_2014_GreenOA.pdf?sequence=6
662,M Li|W Zuo|D Zhang,"This paper focuses on the problem of generating human face pictures from specific
attributes. The existing CNN-based face generation models, however, either ignore the
identity of the generated face or fail to preserve the identity of the reference face image. Here …",867888272807268875,13,Convolutional network for attribute-driven and identity-preserving human face generation,https://arxiv.org/pdf/1608.06434
663,Z Lei|D Yi|SZ Li,"LBP is an effective descriptor for face recognition. LBP encodes the ordinal relationship
between the neighborhood samplings and the central one to obtain robust face
representation. However, additional information like the difference among neighboring …",12825506674517109712,12,Local gradient order pattern for face representation and recognition,http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Lei-ICPR-14.pdf
664,B Ni|S Yan|M Wang|AA Kassim,"In this paper, we propose a novel method for spatial context modeling toward boosting
visual discriminating power. We are particularly interested in how to model high-order local
spatial contexts instead of the intensively studied second-order spatial contexts, ie, co …",9159160709225428399,13,High-order local spatial context modeling by spatialized random forest,
665,A Lumini|L Nanni|S Brahnam,"Presented in this paper is a novel system for face recognition that works well in the wild and
that is based on ensembles of descriptors that utilize different preprocessing techniques.
The power of our proposed approach is demonstrated on two datasets: the FERET dataset …",15137772442553853074,15,[HTML] Ensemble of texture descriptors and classifiers for face recognition,https://www.sciencedirect.com/science/article/pii/S2210832716300023
666,Y Xu|J Yang|D Zhang,"During the past several years, as one of the most successful applications of sparse coding
and dictionary learning, dictionary-based face recognition has received significant attention.
Although some surveys of sparse coding and dictionary learning have been reported, there …",10922995222566811385,32,A survey of dictionary learning algorithms for face recognition,https://ieeexplore.ieee.org/iel7/6287639/7859429/07903603.pdf
667,M Castrillón-Santana|J Lorenzo-Navarro,"Gender classification (GC) has achieved high accuracy in different experimental evaluations
based mostly on inner facial details. However, these results do not generalize well in
unrestricted datasets and particularly in cross-database experiments, where the …",11508970766555271989,17,Descriptors and regions of interest fusion for in-and cross-database gender classification in the wild,https://arxiv.org/pdf/1507.06838
668,J Liu|B Liu|X Peng|C Vogler,"Abstract Our linguistically annotated American Sign Language (ASL) corpora have formed a
basis for research to automate detection by computer of essential linguistic information
conveyed through facial expressions and head movements. We have tracked head position …",16848730153485171413,13,"[PDF] Computer-based tracking, analysis, and visualization of linguistically significant nonmanual events in American Sign Language (ASL)",http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.475.7590&rep=rep1&type=pdf
669,A Kapoor|S Baker,"Real-time recognition may be limited by scarce memory and computing resources for
performing classification. Although, prior research has addressed the problem of training
classifiers with limited data and computation, few efforts have tackled the problem of memory …",12092360495297912328,12,Memory constrained face recognition,http://erichorvitz.com/memory_constrained_face_recognition.pdf
670,EM Hand|R Chellappa,"Attributes, or semantic features, have gained popularity in the past few years in domains
ranging from activity recognition in video to face verification. Improving the accuracy of
attribute classifiers is an important first step in any application which uses these attributes. In …",10228756486245149250,20,Attributes for improved attributes: A multi-task network for attribute classification,https://arxiv.org/pdf/1604.07360
671,C Sagonas|Y Panagakis|S Zafeiriou,"The unconstrained acquisition of facial data in real-world conditions may result in face
images with significant pose variations, illumination changes, and occlusions, affecting the
performance of facial landmark localization and recognition methods. In this paper, a novel …",14994742408853595384,16,[HTML] Robust statistical frontalization of human and animal faces,https://link.springer.com/article/10.1007/s11263-016-0920-7
672,J Bergstra|DD Cox,"Many computer vision algorithms depend on a variety of parameter choices and settings that
are typically hand-tuned in the course of evaluating the algorithm. While such parameter
tuning is often presented as being incidental to the algorithm, correctly setting these …",612380472213121247,17,Making a science of model search,https://arxiv.org/pdf/1209.5111
673,G Chiachia|N Pinto|WR Schwartz|A Rocha,"While significant strides have been made in the recognition of faces under controlled
viewing conditions, face recognition “in the wild” remains a challenging unsolved problem
[12, 13, 21]. Interestingly, while humans are generally excellent at identifying familiar …",3883688638895070472,12,[PDF] Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification.,https://www.researchgate.net/profile/William_Schwartz/publication/257789074_Person-Specific_Subspace_Analysis_for_Unconstrained_Familiar_Face_Identification/links/583477b408ae004f74c87b33/Person-Specific-Subspace-Analysis-for-Unconstrained-Familiar-Face-Identification.pdf
674,X Di|VA Sindagi|VM Patel,"Facial landmarks constitute the most compressed representation of faces and are known to
preserve information such as pose, gender and facial structure present in the faces. Several
works exist that attempt to perform high-level face-related analysis tasks based on …",12888381015768468471,12,Gp-gan: Gender preserving gan for synthesizing faces from landmarks,https://arxiv.org/pdf/1710.00962
675,CX Ren|KK Huang,"Face recognition under uncontrolled conditions, eg, complex backgrounds and variable
resolutions, is still challenging in image processing and computer vision. Although many
methods have been proved well-performed in the controlled settings, they are usually of …",1626112601152722570,14,Transfer learning of structured representation for face recognition,http://or.nsfc.gov.cn/bitstream/00001903-5/330620/1/1000009305558.pdf
676,J Warrell|SJD Prince,"We consider the problem of parsing facial features from an image labeling perspective. We
learn a per-pixel unary classifier, and a prior over expected label configurations, allowing us
to estimate a dense labeling of facial images by part (eg hair, mouth, moustache, hat). This …",6333448014078467378,17,Labelfaces: Parsing facial features by multiclass labeling with an epitome prior,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.332.2399&rep=rep1&type=pdf
677,T Linder|KO Arras,"Understanding social context is an important skill for robots that share a space with humans.
In this paper, we address the problem of recognizing gender, a key piece of information
when interacting with people and understanding human social relations and rules. Unlike …",6289602110343864665,14,Real-time full-body human gender recognition in (RGB)-D data,http://www.spencer.eu/papers/linderICRA15.pdf
678,A Tefas|I Pitas,"Current discriminant nonnegative matrix factorization (NMF) methods either do not
guarantee convergence to a stationary limit point or assume a compact data distribution
inside classes, thus ignoring intra class variance in extracting discriminant data samples …",18256645877852446984,12,Projected gradients for subclass discriminant nonnegative subspace learning,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.672.3821&rep=rep1&type=pdf
679,L Lenc|P Král,"The objective of this paper is to introduce a novel face database. It is composed of face
images taken in real-world conditions and is freely available for research purposes at
http://ufi. kiv. zcu. cz. We have created this dataset in order to facilitate to researchers a …",4756222064848189733,16,Unconstrained Facial Images: Database for face recognition under real-world conditions,https://pdfs.semanticscholar.org/4b41/06614c1d553365bad75d7866bff0de6056ed.pdf
680,P Moutafis|IA Kakadiaris,"In this paper, we first offer an overview of advances in the field of distance metric learning.
Then, we empirically compare selected methods using a common experimental protocol.
The number of distance metric learning algorithms proposed keeps growing due to their …",15656845733727067597,16,An overview and empirical comparison of distance metric learning methods,http://cbl.uh.edu/pub_files/TCYB16.pdf
681,SCH Hoi|D Wang|J Zhu,"Auto face annotation is an important technique for many real-world applications, such as
online photo album management, new video summarization, and so on. It aims to
automatically detect human faces from a photo image and further name the faces with the …",8455484501092213938,12,Fans: face annotation by searching large-scale web facial images,http://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3339&context=sis_research
682,T Hassner,"This article concerns the design of effective computer vision programming exercises and
presents a novel means of designing these assignments. We describe three recent case
studies designed to evaluate the effectiveness of assigning graduate-level computer vision …",4266818521938416691,12,Teaching computer vision: Bringing research benchmarks to the classroom,
683,C Lu|X Tang,"For the traditional Bayesian face recognition methods, a simple prior on face representation
cannot cover large variations in facial poses, illuminations, expressions, aging, and
occlusions in the wild. In this paper, we propose a new approach to learn the face prior for …",2314691964093958495,12,Learning the face prior for bayesian face recognition,https://pdfs.semanticscholar.org/3689/2b6bb4848a9c21158b8eded7f14a6654dd7e.pdf
684,C Ma|JY Jung|SW Kim|SJ Ko,"In this paper, a novel feature extraction method for robust face recognition (FR) is proposed.
The proposed method combines a simple yet effective dimensionality increasing (DI)
method with an information-preserving dimensionality reduction (DR) method. For the …",14554503336415268617,16,Random projection-based partial feature extraction for robust face recognition,
685,K Hassan|CJ Pal,"We propose an approach for improving unconstrained face recognition based on leveraging
weakly labeled web videos. It is easy to obtain videos that are likely to contain a face of
interest from sites such as YouTube through issuing queries with a person's name; however …",18319970799591505090,12,[PDF] Semi Supervised Learning for Wild Faces and Video.,http://www.bmva.org/bmvc/2011/proceedings/paper3/paper3.pdf
686,,"It is important in computer animation to synthesize expressive facial animation for avatars
from videos. Some traditional methods track a set of semantic feature points on the face to
drive the avatar. However, these methods usually suffer from inaccurate detection and …",10925969318676374740,12,Video‐driven state‐aware facial animation,https://pdfs.semanticscholar.org/2d3c/17ced03e4b6c4b014490fe3d40c62d02e914.pdf
687,SU Khan,"The popularity of face recognition systems have increased due to their use in widespread
applications. Driven by the enormous number of potential application domains, several
algorithms have been proposed for face recognition. Face pose and image resolutions are …",10684659952967471404,16,Effects of pose and image resolution on automatic face recognition,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.695.2133&rep=rep1&type=pdf
688,F Cole|D Belanger|D Krishnan|A Sarna,"We present a method for synthesizing a frontal, neutral-expression image of a person's face
given an input face photograph. This is achieved by learning to generate facial landmarks
and textures from features extracted from a facial-recognition network. Unlike previous …",1624988979715798568,22,Synthesizing normalized faces from facial identity features,https://arxiv.org/pdf/1701.04851
689,R Azad|B Azad,"Automatic face recognition system is one of the core technologies in computer vision,
machine learning, and biometrics. The present study presents a novel and improved way for
face recognition. In the suggested approach, first, the place of face is extracted from the …",17395121164187154308,12,[PDF] Optimized method for real-time face recognition system based on PCA and multiclass support vector machine,http://www.academia.edu/download/32464077/ACSIJ-2013-2-5-264.pdf
690,S Mosaddegh|L Simon|F Jurie,"With the adoption of pervasive surveillance systems and the development of efficient
automatic face matchers, the question of preserving privacy becomes paramount. In this
context, automated face de-identification is revived. Typical solutions based on eyes …",16343922803486886077,16,Photorealistic face de-identification by aggregating donors' face components,https://hal.archives-ouvertes.fr/hal-01070658/file/2014-deidentifi-accv.pdf
691,S Ma|Y Aafer|J Zhai|W Wang,"With the fast spread of machine learning techniques, sharing and adopting public machine
learning models become very popular. This gives attackers many new opportunities. In this
paper, we propose a trojaning attack on neuron networks. As the models are not intuitive for …",10621507222795710517,31,[PDF] Trojaning attack on neural networks,https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=2782&context=cstech
692,Q Cao|Y Ying|P Li,"The success of many machine learning algorithms (eg the nearest neighborhood
classification and k-means clustering) depends on the representation of the data as
elements in a metric space. Learning an appropriate distance metric from data is usually …",5393340556794918283,13,Distance metric learning revisited,http://www.robots.ox.ac.uk/~qiong/publications/dm-re-ecml2012.pdf
693,KK Htike|D Hogg,"Successful detection and localisation of pedestrians is an important goal in computer vision
which is a core area in Artificial Intelligence. State-of-the-art pedestrian detectors proposed
in literature have reached impressive performance on certain datasets. However, it has been …",5912245101124179889,13,Adapting pedestrian detectors to new domains: a comprehensive review,http://eprints.whiterose.ac.uk/102212/1/elsarticle-template-num.pdf
694,J Li|J Zhao|F Zhao|H Liu|S Shen,"This paper describes our proposed method targeting at the MSR Image Recognition
Challenge MS-Celeb-1M. The challenge is to recognize one million celebrities from their
face images captured in the real world. The challenge provides a large scale dataset …",15006255901402073945,16,Robust face recognition with deep multi-view representation learning,https://www.researchgate.net/profile/Jian_Zhao68/publication/308833661_Robust_Face_Recognition_with_Deep_Multi-View_Representation_Learning/links/59d5a3560f7e9b7a7e4675fe/Robust-Face-Recognition-with-Deep-Multi-View-Representation-Learning.pdf
695,M Hasan|C Pal,"We present our technique for facial keypoint localization in the wild submitted to the 300-W
challenge. Our approach begins with a nearest neighbour search using global descriptors.
We then employ an alignment of local neighbours and dynamically fit a locally linear model …",11408568587613385988,11,"Localizing facial keypoints with global descriptor search, neighbour alignment and locally linear models",https://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W11/papers/Hasan_Localizing_Facial_Keypoints_2013_ICCV_paper.pdf
696,THN Le|K Luu|M Savvides,"Robust facial hair detection and segmentation is a highly valued soft biometric attribute for
carrying out forensic facial analysis. In this paper, we propose a novel and fully automatic
system, called SparCLeS, for beard/moustache detection and segmentation in challenging …",15268878785206627593,12,SparCLeS: Dynamic Sparse Classifiers With Level Sets for Robust Beard/Moustache Detection and Segmentation,https://www.andrew.cmu.edu/user/thihoanl/paper/Beard_Moustache_TIP2013.pdf
697,H Li|J Brandt|Z Lin|X Shen|G Hua,"In this work, we present a new framework for person recognition in photo albums that
exploits contextual cues at multiple levels, spanning individual persons, individual photos,
and photo groups. Through experiments, we show that the information available at each of …",4428589751980728016,17,A multi-level contextual model for person recognition in photo albums,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf
698,CH Chan|J Kittler|K Mikolajczyk,"In this paper we propose to use the full ranking of a set of pixels as a local descriptor. In
contrast to existing methods which use only partial ranking information, the full ranking
encodes the complete comparative information among the pixels, while retaining invariance …",6371908951398338059,13,Full ranking as local descriptor for visual recognition: a comparison of distance metrics on Sn,
699,L Bourdev,"Part detectors are a common way to handle the variability in appearance in high-level
computer vision problems, such as detection and semantic segmentation. Identifying good
parts, however, remains an open question. Anatomical parts, such as arms and legs, are …",10672393553813509058,11,Poselets and their applications in high-level computer vision,https://cloudfront.escholarship.org/dist/prd/content/qt8nz4x0qt/qt8nz4x0qt.pdf
700,M Castrillón-Santana|J Lorenzo-Navarro,"The 2015 FRVT gender classification (GC) report evidences the problems that current
approaches tackle in situations with large variations in pose, illumination, background and
facial expression. The report suggests that both commercial and research solutions are …",14663248651055200399,15,Multi-scale score level fusion of local descriptors for gender classification in the wild,http://bibacceda01.ulpgc.es/bitstream/10553/17812/5/J019_MTAP16_draft.pdf
701,A Moeini|K Faez,"In this study, a novel method is proposed for gender classification by adding facial depth
features to texture features. Accordingly, the three-dimensional (3D) generic elastic model is
used to reconstruct the 3D model from human face using only a single 2D frontal image …",13518787879872343916,13,Real-world gender classification via local Gabor binary pattern and three-dimensional face reconstruction by generic elastic model,
702,MF Angelo|AC Loula,"This paper aims at describing an approach developed for the recognition of gestures on
digital images. In this way, two shape descriptors were used: the histogram of oriented
gradients (HOG) and Zernike invariant moments (ZIM). A feature vector composed by the …",7498871742585410745,11,Recognition of static gestures applied to Brazilian sign language (Libras),http://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi/2015/06.18.19.06/doc/PID3766353.pdf
703,H Xu,"Although deep learning has yielded impressive performance for face recognition, many
studies have shown that different networks learn different feature maps: while some
networks are more receptive to pose and illumination others appear to capture more local …",14105474210717780516,22,Deep heterogeneous feature fusion for template-based face recognition,https://arxiv.org/pdf/1702.04471
704,X Jin|X Tan,"Over the last two decades, face alignment or localizing fiducial facial points on 2D images
has received increasing attention owing to its comprehensive applications in automatic face
analysis. However, such a task has proven extremely challenging in unconstrained …",7497974296392205066,26,Face alignment in-the-wild: A survey,https://arxiv.org/pdf/1608.04188
705,CX Ren,"In this paper, we propose a multilayer surface albedo (MLSA) model to tackle face
recognition in bad lighting conditions, especially with reference images in bad lighting
conditions. Some previous researches conclude that illumination variations mainly lie in the …",4040582424147915502,15,Multilayer surface albedo for face recognition with reference images in bad lighting conditions,http://or.nsfc.gov.cn/bitstream/00001903-5/322359/1/1000009305498.pdf
706,K Khan|M Mauro|R Leonardi,"In this paper the problem of multi-class face segmentation is introduced. Differently from
previous works which only consider few classes-typically skin and hair-the label set is
extended here to six categories: skin, hair, eyes, nose, mouth and background. A dataset …",13039370634236214653,12,Multi-class semantic segmentation of faces,https://iris.unibs.it/retrieve/handle/11379/468365/27374/KAML-ICIP_2015-Camera%20Ready.pdf
707,M Demirkus|D Precup|JJ Clark|T Arbel,"Recently, head pose estimation in real-world environments has been receiving attention in
the computer vision community due to its applicability to a wide range of contexts. However,
this task still remains as an open problem because of the challenges presented by real …",5164023844769198691,16,Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos,
708,R Giraud|VT Ta|A Bugeau|P Coupé,"Superpixels have become very popular in many computer vision applications. Nevertheless,
they remain underexploited since the superpixel decomposition may produce irregular and
non stable segmentation results due to the dependency to the image content. In this paper …",4809293381967700839,16,SuperPatchMatch: an algorithm for robust correspondences using superpixel patches,https://hal.archives-ouvertes.fr/hal-01432116/document
709,T Tommasi|R Aly|K McGuinness|K Chatfield,"The EU FP7 project AXES aims at better understanding the needs of archive users and
supporting them with systems that reach beyond the state-of-the-art. Our system allows
users to instantaneously retrieve content using metadata, spoken words, or a vocabulary of …",12075123705931316534,13,Beyond metadata: searching your archive based on its audio-visual content,http://relja.info/publications/tommasi14.pdf
710,C Reale|NM Nasrabadi|H Kwon,"Heterogeneous face recognition is the problem of identifying a person from a face image
acquired with a non-traditional sensor by matching it to a visible gallery. Most approaches to
this problem involve modeling the relationship between corresponding images from the …",1976175431823326826,17,Seeing the forest from the trees: A holistic approach to near-infrared heterogeneous face recognition,https://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w9/papers/Reale_Seeing_the_Forest_CVPR_2016_paper.pdf
711,C Otto|B Klare|AK Jain,"Investigations that require the exploitation of large volumes of face imagery are increasingly
common in current forensic scenarios (eg, Boston Marathon bombing), but effective
solutions for triaging such imagery (ie, low importance, moderate importance, and of critical …",3438230334348315028,12,[PDF] An efficient approach for clustering face images,http://biometrics.cse.msu.edu/Publications/Face/OttoKlareJain_EfficientApproachClusteringFaceImages_ICB15.pdf
712,KK Huang|CX Ren,"A sparse representation classifier (SRC) and a kernel discriminant analysis (KDA) are two
successful methods for face recognition. An SRC is good at dealing with occlusion, while a
KDA does well in suppressing intraclass variations. In this paper, we propose kernel …",1816089652733717949,20,Learning kernel extended dictionary for face recognition,http://papersim.com/wp-content/uploads/Image_Processing__Learning_Kernel_Extended_Dictionary___Face_Recognition__2016.pdf
713,MK Hasan|CJ Pal,"Face recognition systems for uncontrolled environments often work through an alignment,
feature extraction, and recognition pipeline. Effective alignment of faces is thus crucial as
can be an entry point in the process and poor alignments can greatly affect recognition …",9780607982358984960,12,Improving alignment of faces for recognition,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.713.5586&rep=rep1&type=pdf
714,R Hong|Z Hu|M Wang|S Yan,"Human group, which indicates the people who share similar characteristics, is used to
categorize humans into distinct populations or groups. In recent years, with the explosive
growth of image, new concepts of human group are blooming in social networks. People in …",17277400602268016752,15,Understanding blooming human groups in social networks,
715,,"Biometric identification (BI) is one of the most explored topics in recent years. One of the
most important techniques for BI is face recognition. Face recognition systems (FRSs) are an
important field in computer vision, because it represents a non-invasive BI technique. In this …",4493580456214647391,12,Evaluation of machine learning techniques for face detection and recognition,
716,B Yao|AI Haizhou,"This paper studies face recognition and person-specific face image retrieval in
unconstrained environments. The proposed method consists of two parts: offline and online
learning. In offline stage, we take advantage of both global and local features in a Bayesian …",822308614241640607,11,Person-specific face recognition in unconstrained environments: a combination of offline and online learning,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.165.642&rep=rep1&type=pdf
717,F Shi|J Chai,"This paper presents the first realtime 3D eye gaze capture method that simultaneously
captures the coordinated movement of 3D eye gaze, head poses and facial expression
deformation using a single RGB camera. Our key idea is to complement a realtime 3D facial …",16971609092882517586,21,Realtime 3d eye gaze animation using a single rgb camera,http://humanmotion.ict.ac.cn/papers/2016P1_EyeGaze/sig16_face_and_eye_v7-slide.pdf
718,H Liu|Y Gao,"Gender identification has been a hot research topic with wide application requirements from
social life. In general, effective feature representation is the key to solving this problem. In
this paper, a new feature named Self-Similarity of Gradients (GSS) is proposed, which …",9475403135600387099,11,[PDF] Gender identification in unconstrained scenarios using Self-Similarity of Gradients features.,http://robotics.pkusz.edu.cn/static/papers/ICIP2014-gaoyuan2.pdf
719,Z Lei|SZ Li,"Face descriptor is a critical issue for face recognition. Many local face descriptors like Gabor,
LBP have exhibited good discriminative ability for face recognition. However, most existing
face descriptors are designed in a handcrafted way and the extracted features may not be …",1567142186417357730,11,Learning discriminant face descriptor for face recognition,http://www.nlpr.ia.ac.cn/2012papers/gjhy/gh57.pdf
720,,"How to determine the low dimensional manifold is a challenging problem. Locality
Preserving Projections (LPP) can gracefully deal with it. With the help of discriminant
information provided by Discriminant Locality Preserving Projection (DLPP), the …",18082677039007795314,12,Exponential discriminant locality preserving projection for face recognition,
721,Y Liang,"In this paper, we explore the regularized feature selection method for person specific face
verification in unconstrained environments. We reformulate the generalization of the single-
task sparsity-enforced feature selection method to multi-task cases as a simultaneous …",11255468416414770412,11,Exploring regularized feature selection for person specific face verification,https://sites.google.com/site/liangyixiong/cabinet/ICCV2011.pdf
722,S Bianco,"This paper introduces a new method for face verification across large age gaps and also a
dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with
images ranging from child/young to adult/old. The proposed method exploits a deep …",6980699793307007950,19,Large age-gap face verification by feature injection in deep networks,https://arxiv.org/pdf/1602.06149
723,C Ferrari|G Lisanti|S Berretti,"In this paper, we propose a new and effective frontalization algorithm for frontal rendering of
unconstrained face images, and experiment it for face recognition. Initially, a 3DMM is fit to
the image, and an interpolating function maps each pixel inside the face region on the …",6632057936491137022,14,Effective 3D based frontalization for unconstrained face recognition,https://www.micc.unifi.it/wp-content/uploads/2016/12/icpr16_janus_cameraReady.pdf
724,T Danisman|IM Bilasco,"This paper presents cross-database evaluations of automatic appearance-based gender
recognition methodology using normalized raw pixels and SVM classifier under
unconstrained settings. Proposed method uses both histogram specification and feature …",3195058916862770541,10,Cross-database evaluation of normalized raw pixels for gender recognition under unconstrained settings,https://hal.archives-ouvertes.fr/hal-00973505/file/cross_dataset_pixel_intensities_gender-ICPR2014.pdf
725,F Shokrollahi Yancheshmeh|K Chen,"Alignment of semantically meaningful visual patterns, such as object classes, is an important
pre-processing step for a number of applications such as object detection and image
categorization. Considering the expensive manpower spent on the annotation of supervised …",15683999798513109802,10,Unsupervised visual alignment with similarity graphs,https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Yancheshmeh_Unsupervised_Visual_Alignment_2015_CVPR_paper.pdf
726,,"Abstract Collaborative Representation based Classification (CRC) is powerful for face
recognition and has lower computational complexity than Sparse Representation based
Classification (SRC). To improve the performance of CRC, this paper proposes a new …",15775733861993775202,12,Optimized projection for collaborative representation based classification and its applications to face recognition,
727,T Lansdall-Welfare|S Sudhahar|C Carter,"Feminist news media researchers have long contended that masculine news values shape
journalists' quotidian decisions about what is newsworthy. As a result, it is argued, topics
and issues traditionally regarded as primarily of interest and relevance to women are …",685277937575366070,21,[HTML] Women are seen more than heard in online newspapers,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148434
728,G Sharma|B Schiele,"We propose a novel algorithm for the task of supervised discriminative distance learning by
nonlinearly embedding vectors into a low dimensional Euclidean space. We work in the
challenging setting where supervision is with constraints on similar and dissimilar pairs …",168379289328903480,12,Scalable nonlinear embeddings for semantic category-based image retrieval,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Sharma_Scalable_Nonlinear_Embeddings_ICCV_2015_paper.pdf
729,Y Zhong|J Chen,"A common practice in modern face recognition methods is to specifically align the face area
based on the prior knowledge of human face structure before recognition feature extraction.
The face alignment is usually implemented independently, causing difficulties in the …",13613542227906010617,18,Toward end-to-end face recognition through alignment learning,https://arxiv.org/pdf/1701.07174
730,Y Li,"We are often faced with the problem of distinguishing between visually similar objects that
share the same general appearance characteristics. As opposed to object categorization,
this task is focused on capturing fine image differences in a pose-dependent fashion. Our …",12601916050617414585,11,Learning pairwise image similarities for multi-classification using kernel regression trees,http://people.brunel.ac.uk/~csstyyl/papers/pr2012.pdf
731,L Hu|S Saito|L Wei|K Nagano,"We present a fully automatic framework that digitizes a complete 3D head with hair from a
single unconstrained image. Our system offers a practical and consumer-friendly end-to-end
solution for avatar personalization in gaming and social VR applications. The reconstructed …",2781770304173787879,24,Avatar digitization from a single image for real-time rendering,
732,J Wang,"Detecting predefined facial feature points in a human face image is a well studied problem.
Despite the impressive achievements that have been made, it is still open under
unconstrained environments, with variations of illumination, expression, head pose, as well …",4237991958347641047,12,Facial feature points detecting based on Gaussian Mixture Models,http://bksy.zju.edu.cn/attachments/tlxjxj/2016-10/99999-1477633998-1097578.pdf
733,SMS Ahmad|WAW Adnan,"Gender as a soft biometric attribute has been extensively investigated in the domain of
computer vision because of its numerous potential application areas. However, studies have
shown that gender recognition performance can be hindered by improper alignment of facial …",8370729530870722333,10,Gender recognition on real world faces based on shape representation and neural network,
734,D Mery,"Unconstrained face recognition is still an open problem as the state-of-the-art algorithms
have not yet reached high recognition performance in real-world environments. This paper
addresses this problem by proposing a new approach called sparse fingerprint classification …",12632813702632998711,18,Face recognition using sparse fingerprint classification algorithm,
735,H Ye|L Wang,"In this paper, we introduce an active annotation and learning framework for the face
recognition task. Starting with an initial label deficient face image training set, we iteratively
train a deep neural network and use this model to choose the examples for further manual …",12955612788803450012,14,Face recognition via active annotation and learning,http://zhengyingbin.cc/publication/mm16-face.pdf
736,O Tuzel|Y Taguchi|JR Hershey,"Face hallucination, which is the task of generating a high-resolution face image from a low-
resolution input image, is a well-studied problem that is useful in widespread application
areas. Face hallucination is particularly challenging when the input face resolution is very …",14584649109201573474,15,Global-local face upsampling network,https://arxiv.org/pdf/1603.07235
737,X Wang,"As a major breakthrough in artificial intelligence, deep learning has achieved very
impressive success in solving grand challenges in many fields including speech recognition,
natural language processing, computer vision, image and video processing, and …",14973305879926522028,16,"Deep learning in object recognition, detection, and segmentation",https://www.nowpublishers.com/article/DownloadSummary/SIG-071
738,Y Pang|X Jiang|X Li,"Because the scale, horizontal and vertical coordinates of an object in an image are arbitrary,
so object detection can be viewed as a process of searching the object in the 3D space
spanned by the scale, horizontal, and vertical factors. Traditional sliding window based …",9888378872942210407,10,Efficient object detection by prediction in 3D space,
739,R Wallace|M McLaren,"This study presents the first detailed study of total variability modelling (TVM) for face
verification. TVM was originally proposed for speaker verification, where it has been
accepted as state-of-the-art technology. Also referred to as front-end factor analysis, TVM …",1757908157119954586,10,Total variability modelling for face verification,https://sites.google.com/site/drroywallace/publications/download/2012_IET.pdf
740,R Yonetani|V Naresh Boddeti,"We propose a privacy-preserving framework for learning visual classifiers by leveraging
distributed private image data. This framework is designed to aggregate multiple classifiers
updated locally using private data and to ensure that no private information about the data is …",1856416324516941618,10,Privacy-preserving visual learning using doubly permuted homomorphic encryption,http://openaccess.thecvf.com/content_ICCV_2017/papers/Yonetani_Privacy-Preserving_Visual_Learning_ICCV_2017_paper.pdf
741,X Qi|CG Li,"In this paper, we propose a simple but effective spatial co-occurrence of local intensity order
(CoLIO) feature for face recognition. Local intensity order (LIO) is robust to illumination
variance. Spatial co-occurrence of LIO not only preserves great invariance to illumination …",14236078210085401876,10,Spatial co-occurrence of local intensity order for face recognition,https://www.researchgate.net/profile/Xianbiao_Qi2/publication/251571647_Spatial_co-occurrence_of_local_intensity_order_for_face_recognition/links/00b7d51f0ed4d84d0c000000.pdf
742,H Ai,"For multi-view face alignment (MVFA), the non-linear variation of shape and texture, and the
self-occlusion of facial feature points caused by view change are the two major difficulties.
The state-of-the-art MVFA methods are essentially view-based approaches in which views …",10916036591562732863,11,Multi-view face alignment using 3d shape model for view estimation,https://link.springer.com/content/pdf/10.1007/978-3-642-01793-3_19.pdf
743,S Zhang|R He|Z Sun,"Face verification between ID photos and life photos (FVBIL) is gaining traction with the rapid
development of the Internet. However, ID photos provided by the Chinese administration
center are often corrupted with wavy lines to prevent misuse, which poses great difficulty to …",15763131129496914852,18,Multi-task convnet for blind face inpainting with application to face verification,http://ir.ia.ac.cn/bitstream/173211/13787/1/07550058.pdf
744,J Deng|Y Zhou|S Zafeiriou,"Convolutional neural networks have significantly boosted the performance of face
recognition in recent years due to its high capacity in learning discriminative features. In
order to enhance the discriminative power of the deeply learned features, we propose a new …",9153549260133833788,21,[PDF] Marginal loss for deep face recognition,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf
745,W Shen|B Wang|X Bai|LJ Latecki,"In this paper, we propose a system for face identification. Given two query face images, our
task is to tell whether or not they are of the same person. The main contribution of this paper
comes from two aspects:(1) We adopt the one-shot similarity kernel [35] for learning the …",6421935422785406453,12,Face identification using reference-based features with message passing model,https://cis.temple.edu/~latecki/Papers/FaceIdentificationNeuro2013.pdf
746,J Sullivan|H Li,"Predicting facial attributes from faces in the wild is very challenging due to pose and lighting
variations in the real world. The key to this problem is to build proper feature representations
to cope with these unfavourable conditions. Given the success of convolutional neural …",1730631632970199577,9,[PDF] Face attribute prediction with classification CNN,https://pdfs.semanticscholar.org/6331/01e794d7b80f55f466fd2941ea24595e10e6.pdf
747,Z Huo|F Nie|H Huang,"Metric learning aims at automatically learning a metric from pair or triplet based constraints
in data, and it can be potentially beneficial whenever the notion of metric between instances
plays a nontrivial role. In Mahalanobis distance metric learning, distance matrix M is in …",13005287162893713664,16,Robust and effective metric learning using capped trace norm: Metric learning via capped trace norm,https://dl.acm.org/ft_gateway.cfm?id=2939853&type=pdf
748,V Verroios|H Garcia-Molina,"Abstract In Entity Resolution, the objective is to find which records of a dataset refer to the
same real-world entity. Crowd Entity Resolution uses humans, in addition to machine
algorithms, to improve the quality of the outcome. We study a hybrid approach that combines …",8101071617817832454,19,Waldo: An adaptive human interface for crowd entity resolution,http://ilpubs.stanford.edu:8090/1137/1/ERMultiItemTechRep.pdf
749,RSS Kramer|AW Young,"Viewers are highly accurate at recognizing sex and race from faces—though it remains
unclear how this is achieved. Recognition of familiar faces is also highly accurate across a
very large range of viewing conditions, despite the difficulty of the problem. Here we show …",9617201567310836044,13,Robust social categorization emerges from learning the identities of very few faces.,http://eprints.whiterose.ac.uk/112339/1/LDA_paper_R2.pdf
750,J He|D Zhang|L Balzano,"Robust high-dimensional data processing has witnessed an exciting development in recent
years, as theoretical results have shown that it is possible using convex programming to
optimize data fit to a low-rank component plus a sparse outlier component. This problem is …",16782358948778783018,11,Iterative online subspace learning for robust image alignment,https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553759.pdf
751,MM Rahman|S Rahman|EK Dey,"Gender recognition from facial images has become an empirical aspect in present world. It is
one of the main problems of computer vision and researches have been conducting on it.
Though several techniques have been proposed, most of the techniques focused on facial …",5577811127869844444,10,[PDF] A gender recognition approach with an embedded preprocessing,https://www.researchgate.net/profile/Md_Mostafijur_Rahman3/publication/278330320_A_Gender_Recognition_Approach_with_an_Embedded_Preprocessing/links/557fb8e008ae26eada8f608c/A-Gender-Recognition-Approach-with-an-Embedded-Preprocessing.pdf
752,H Fang,"In the past decade, a number of nonlinear dimensionality reduction methods using an affinity
graph have been developed for manifold learning. This paper explores a multilevel
framework with the goal of reducing the cost of unsupervised manifold learning and …",7276644411980396421,11,Multilevel manifold learning with application to spectral clustering,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.189.2789&rep=rep1&type=pdf
753,C Sagonas|Y Panagakis|S Zafeiriou,"Recently, it was shown that excellent results can be achieved in both face landmark
localization and pose-invariant face recognition. These breakthroughs are attributed to the
efforts of the community to manually annotate facial images in many different poses and to …",4649204357873696182,12,Face frontalization for Alignment and Recognition,https://arxiv.org/pdf/1502.00852
754,,"In recent years an explosion of online multimedia data has been witnessed. As an example,
abundant photos recording every aspect of human life are available through social media.
Among tremendous amount of photos, a significant fraction contains human faces. Faces are …",12566432163840785216,10,Scalable attribute-driven face image retrieval,
755,EG Learned-Miller,"Joint alignment of a collection of functions is the process of independently transforming the
functions so that they appear more similar to each other. Typically, such unsupervised
alignment algorithms fail when presented with complex data sets arising from multiple …",781295607335826805,9,Unsupervised joint alignment and clustering using bayesian nonparametrics,https://arxiv.org/pdf/1210.4892
756,A Tanoto,"Experiments are essential ingredients of science to compare, validate or refute theories,
methodologies, hypotheses and approaches. However, in robotics, the comparison of
methods using experiments is difficult because of the variety of robotic platforms and …",12431527176652908413,9,[PDF] The Teleworkbench-a platform for performing and comparing experiments in robot navigation,https://www.researchgate.net/profile/Andry_Tanoto/publication/235908469_The_Teleworkbench_-_A_Platform_for_Performing_and_Comparing_Experiments_in_Robot_Navigation/links/02bfe514064609eaab000000.pdf
757,MA Borgi|D Labate|M El Arbi|CB Amar,"The major limitation in current facial recognition systems is that they do not perform very well
in uncontrolled environments, that is, when faces present variations in pose, illumination,
facial expressions and environment. This is a serious obstacle in applications such as law …",6383372754705708152,11,Sparse multi-stage regularized feature learning for robust face recognition,http://www.ifsulibrary.com/ejournal/uploads/file/pdf/20180423_014840.pdf
758,,"The Gabor-based features have achieved excellent performances for face recognition on
traditional face databases. However, on the recent LFW (Labeled Faces in the Wild) face
database, Gabor-based features attract little attention due to their high computing complexity …",3520328077540330698,9,Histogram of Log-Gabor magnitude patterns for face recognition,
759,J Zheng,"In this paper, we consider the robust face recognition problem via iterative re-constrained
group sparse classifier (IRGSC) with adaptive weights learning. Specifically, we propose a
group sparse representation classification (GSRC) approach in which weighted features and …",12077369473863983630,19,Iterative re-constrained group sparse face recognition with adaptive weights learning,
760,GH Givens|JR Beveridge|YM Lui,"Face recognition involves at least three major concepts from statistics: dimension reduction,
feature extraction, and prediction. A selective review of algorithms, from seminal to state‐of‐
the‐art, explores how these concepts persist as organizing principles in the field. Algorithms …",11003002551745404329,10,Biometric face recognition: from classical statistics to future challenges,
761,P Sharma|KV Arya,"A novel pose-invariant face recognition method is proposed by combining curvelet-invariant
moments with curvelet neural network. First a special set of statistical coefficients using
higher-order moments of curvelet are extracted as the feature vector and then the invariant …",183403617405773465,10,Pose-invariant face recognition using curvelet neural network,
762,M Uricar|V Franc|V Hlavac,"In this paper we describe a tracker of facial landmarks submitted to the 300 Videos in the
Wild (300-VW) challenge. Our tracker is a straightforward extension of a well tuned tree-
based DPM landmark detector originally developed for static images. The tracker is obtained …",1905478520125474096,14,Facial landmark tracking by tree-based deformable part model based detector,https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w25/papers/Uricar_Facial_Landmark_Tracking_ICCV_2015_paper.pdf
763,M Ibrahim|MIA Efat,"Face recognition and verification algorithms use a variety of features that describe a face.
Many of them are affected by the change of illumination and intensity fluctuation due to
noise. Inspired by the properties of human visual system, a dynamic local ternary pattern has …",13991630728643314757,10,[PDF] Dynamic local ternary pattern for face recognition and verification,https://www.researchgate.net/profile/Md_Efat/publication/304083734_Dynamic_Local_Ternary_Pattern_for_Face_Recognition_and_Verification/links/5765d00108ae421c4489d53f/Dynamic-Local-Ternary-Pattern-for-Face-Recognition-and-Verification.pdf
764,R Poppe,"Automatically naming faces in online social networks enables us to search for photos and
build user face models. We consider two common weakly supervised settings where:(1)
users are linked to photos, not to faces and (2) photos are not labeled but part of a user's …",2245838439100912914,10,Facing scalability: Naming faces in an online social network,
765,W Zhang|LI Hongliang|KN Ngan,"In this paper, we present a hybrid human recognition system for surveillance. A Cascade
Head–Shoulder Detector (CHSD) with human body model is proposed to find the face
region in a surveillance video frame image. The CHSD is a chain of rejecters which …",10391157363822064347,10,Hybrid human detection and recognition in surveillance,http://www.ee.cuhk.edu.hk/~knngan/2016/NC_v194_p10-23.pdf
766,AA Shafie,"Gabor Wavelets (GW) have been extensively used for facial feature representation due to its
inherent multi-resolution and multi-orientation characteristics. In this work we extend the
work on Local Gabor Feature Vector (LGFV) and propose a new face recognition method …",1982632634138605613,11,Recognizing faces with normalized local Gabor features and spiking neuron patterns,https://www.researchgate.net/profile/Fadhlan_Zaman/publication/285759105_Recognizing_Faces_with_Normalized_Local_Gabor_Features_and_Spiking_Neuron_Patterns/links/56bbd83608ae3f9793155506/Recognizing-Faces-with-Normalized-Local-Gabor-Features-and-Spiking-Neuron-Patterns.pdf
767,W Scheirer,"Blur due to motion and atmospheric turbulence is a variable that impacts the accuracy of
computer vision-based face recognition techniques. However, in images captured in the
wild, such variables can hardly be avoided, requiring methods to account for these …",3298076216686814808,10,Single image deblurring for a real-time face recognition system,https://www.wjscheirer.com/papers/wjs_iecon2010_deblurring.pdf
768,M Günther|L El Shafey|S Marcel,"One important type of biometric authentication is face recognition, a research area of high
popularity with a wide spectrum of approaches that have been proposed in the last few
decades. The majority of existing approaches are conceived for or evaluated on constrained …",4310177533361515608,9,Face recognition in challenging environments: An experimental and reproducible research survey,https://infoscience.epfl.ch/record/217475/files/Gunther_SPRINGER_2016.pdf
769,V Kumar|AM Namboodiri,"We consider the problem of automatic identification of faces in videos such as movies, given
a dictionary of known faces from a public or an alternate database. This has applications in
video indexing, content based search, surveillance, and real time recognition on wearable …",13710467889248915415,10,Face recognition in videos by label propagation,http://web2py.iiit.ac.in/research_centres/publications/download/inproceedings.pdf.8a064584725adb9f.56696a617932303134466163652e706466.pdf
770,SMS Islam|S Rahman|MM Rahman,"Deep learning is a new era of machine learning research, where many layers of information
processing stages are exploited for unsupervised feature learning. Using multiple levels of
representation and abstraction, it helps a machine to understand about data (eg, images …",10930002484134902025,9,Application of deep learning to computer vision: A comprehensive study,
771,C Lu|X Tang,"When face images are taken in the wild, the large variations in facial pose, illumination, and
expression make face recognition challenging. The most fundamental problem for face
recognition is to measure the similarity between faces. The traditional measurements such …",15466092886311961526,9,Face recognition using face patch networks,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Lu_Face_Recognition_Using_2013_ICCV_paper.pdf
772,W Deng,"Face recognition under variable pose and lighting is still one of the most challenging
problems, despite the great progress achieved in unconstrained face recognition in recent
years. Pose variation is essentially a misalignment problem together with invisible region …",16317854428679675296,13,Lighting-aware face frontalization for unconstrained face recognition,http://whdeng.cn/papers/whdeng_pr5.pdf
773,R Aly|K McGuinness|S Chen|NE O'Connor,"The AXES project participated in the interactive instance search task (INS), the known-item
search task (KIS), and the multimedia event detection task (MED) for TRECVid 2012. As in
our TRECVid 2011 system, we used nearly identical search systems and user interfaces for …",17534282698503435445,9,"AXES at TRECVID 2012: KIS, INS, and MED",http://doras.dcu.ie/17860/1/axes.pdf
774,J Hu|J Lu|YP Tan|J Yuan,"Metric learning has attracted wide attention in face and kinship verification, and a number of
such algorithms have been presented over the past few years. However, most existing
metric learning methods learn only one Mahalanobis distance metric from a single feature …",4945867561330475696,9,Local large-margin multi-metric learning for face and kinship verification,
775,H Wang,"In this paper, we propose a precise and fast eye center localization method. The method is
based on SDM [1] algorithm, which has achieved impressive performance in face alignment
area. In this work, we further improve the basic SDM algorithm in two aspects: 1) employ the …",17257699440771604248,15,Precise eye localization with improved sdm,
776,MF Moens|T Tuytelaars,"In this paper we report on our experiments on linking names and faces as found in images
and captions of online news websites. Whereas previously, the focus has been mostly on
assigning names to the faces, we generalize this framework, exploiting the (a) symmetry …",8535932476897205772,10,Linking names and faces: Seeing the problem in different ways,
777,E Vazquez-Fernandez|D Gonzalez-Jimenez,"Precise eye localisation is a crucial step for many applications, including face recognition,
gaze tracking and blink detection. In this study, the authors propose several improvements to
the original average of synthetic exact filters (ASEF) formulation, demonstrating that its …",10356819918494723026,9,Improved average of synthetic exact filters for precise eye localisation under realistic conditions,https://www.researchgate.net/profile/Esteban_Vazquez-Fernandez/publication/236954283_Improved_average_of_synthetic_exact_filters_for_precise_eye_localisation_under_realistic_conditions/links/0c96053208fa6b4be1000000.pdf
778,A Kae|B Marlin|E Learned-Miller,"We propose a novel discriminative model for semantic labeling in videos by incorporating a
prior to model both the shape and temporal dependencies of an object in video. A typical
approach for this task is the conditional random field (CRF), which can model local …",7096576412384974340,11,The shape-time random field for semantic video labeling,https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Kae_The_Shape-Time_Random_2014_CVPR_paper.pdf
779,HS Bhatt|R Singh|M Vatsa,"Face recognition has found several applications ranging from cross border security,
surveillance, access control, multimedia to forensics. Face recognition under variations due
to pose, illumination, and expression has been extensively studied in literature and several …",15769108345095968007,10,Covariates of face recognition,https://repository.iiitd.edu.in/xmlui/bitstream/handle/123456789/214/IIITD-TR-2015-002.pdf?sequence=1&isAllowed=y
780,C Sanderson|MT Harandi|Y Wong,"In contrast to comparing faces via single exemplars, matching sets of face images increases
robustness and discrimination performance. Recent image set matching approaches
typically measure similarities between subspaces or manifolds, while representing faces in a …",7760743832997447185,10,Combined learning of salient local descriptors and distance metrics for image set face verification,https://arxiv.org/pdf/1303.2783
781,W Shen|X Shi,"ABSTRACT Linear Discriminant Analysis (LDA) has been widely used in appearance-based
face recognition. However, it requires lots of training samples for each person with respect to
the large dimensionality of the image space, which is difficult to collect in reality. To …",12522003857056022172,10,Ensemble of randomized linear discriminant analysis for face recognition with single sample per person,https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553755.pdf
782,MR Mahmoodi|SM Sayedi,"Skin detection plays a very essential role in many image processing applications such as
face localization, face recognition, gesture recognition and human identification. A robust
pre-processing skin detection algorithm can significantly increase the performance of an …",11551896334050065053,9,Boosting performance of face detection by using an efficient skin segmentation algorithm,
783,Y Yi|J Wang|J Kong,"In this paper, a novel algorithm named Semi-supervised Local Ridge Regression (SSLRR)
is proposed for local matching based face recognition. Compared with other algorithms, the
proposed algorithm possesses two advantages. Firstly, SSLRR utilizes a multiple graph …",12942193543129694380,12,Semi-supervised local ridge regression for local matching based face recognition,
784,X Gu,"Abstract Slow Feature Discriminant Analysis (SFDA) is a supervised feature extraction
method for classification inspired by biological mechanism. However, SFDA only considers
the local geometrical structure information of data and ignores the global geometrical …",15309990076991688069,12,Uncorrelated slow feature discriminant analysis using globality preserving projections for feature extraction,http://or.nsfc.gov.cn/bitstream/00001903-5/337283/1/1000014031945.pdf
785,F Noroozi|A Njegus,"In this paper is presented a novel multimodal emotion recognition system which is based on
the analysis of audio and visual cues. MFCC-based features are extracted from the audio
channel and facial landmark geometric relations are computed from visual data. Both sets of …",2990171392581372961,11,Fusion of classifier predictions for audio-visual emotion recognition,
786,G Qian,"MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The
MathWorks does not warrant the accuracy of the text or exercises in this book. This book's
use or discussion of MATLAB® software or related products does not constitute …",7925374967953335082,12,[BOOK] Intelligent video surveillance: systems and technology,
787,,"针对传统高斯肤色模型在肤色和光照变化较大情况下不能有效提取肤色区域的问题,
提出一种改进的高斯肤色模型, 并将其应用于人脸检测中. 模型参数采用一种自适应更新的参数
选择方法, 通过对相似度人脸和灰度人脸在对应像素点加权相乘的方式, 得到将肤色相似度信息 …",11882678407509451825,24,改进的高斯肤色模型及其在人脸检测中的应用,
788,S Singh,"In today's world of automation, real time face detection with high performance is becoming
necessary for a wide number of computer vision and image processing applications.
Existing software based system for face detection uses the state of the art Viola and Jones …",13567475618557111891,10,Analyzing impact of image scaling algorithms on viola-jones face detection framework,http://ceeri.csircentral.net/246/1/9_2015%284%29.pdf
789,H Zheng|Y Liu|M Ji|L Fang,"This paper proposes a convolutional neural network that can fuse high-level prior for
semantic image segmentation. Motivated by humans' vision recognition system, our key
design is a three-layer generative structure consisting of high-level coding, middle-level …",17217826219628334704,8,Learning high-level prior with convolutional neural networks for semantic segmentation,https://arxiv.org/pdf/1511.06988
790,M Shao|S Xia|Y Fu,"This chapter studies the problem of identifying people in group pictures. That is, determining
from a gallery of people who appear in a given picture. This is a well-studied problem that is
becoming increasingly important given the recent explosion in usage of social networks. In …",5608131148736545731,12,Identity and kinship relations in group pictures,
791,C Peng|X Gao|N Wang,"Due to the great texture discrepancies between photos and sketches, matching face
sketches against mug shot photos is a challenging yet important topic in face recognition
community, with potential applications in law enforcement and security. Despite the great …",8324114526705021540,8,"Face recognition from multiple stylistic sketches: Scenarios, datasets, and evaluation",
792,H Wang|B Kang|D Kim,"To train and evaluate various face recognition algorithms, quite many databases have been
created. But most of them have been created under controlled conditions to study the
specific variations of the face recognition problem. These variations include position, pose …",10955678230689873824,9,PFW: A face database in the wild for studying face identification and verification in uncontrolled environment,
793,MF Karaaba|O Surinta|LRB Schomaker,"Face identification under small sample conditions is currently an active research area. In a
case of very few reference samples, optimally exploiting the training data to make a model
which has a low generalization error is an important challenge to create a robust face …",7315706907803797135,10,[PDF] Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients.,https://www.researchgate.net/profile/Mahir_Karaaba/publication/296704058_Robust_Face_Identification_with_Small_Sample_Sizes_using_Bag_of_Words_and_Histogram_of_Oriented_Gradients/links/578fa02d08ae64311c0c70e3/Robust-Face-Identification-with-Small-Sample-Sizes-using-Bag-of-Words-and-Histogram-of-Oriented-Gradients.pdf
794,S Schönborn|B Egger|A Morel-Forster,"We present a novel fully probabilistic method to interpret a single face image with the 3D
Morphable Model. The new method is based on Bayesian inference and makes use of
unreliable image-based information. Rather than searching a single optimal solution, we …",8170989274749340187,15,Markov chain monte carlo for automated face image analysis,https://edoc.unibas.ch/59207/1/20180118120806_5a6080164e8f2.pdf
795,Z Li|L Cao|S Chang|JR Smith,"People verification is a challenging and important task which finds many applications in
modern surveillance and video retrieval systems. In this problem, metric learning
approaches have played an important role by trying to bridge the semantic gap between …",12819845873039623176,9,Beyond mahalanobis distance: Learning second-order discriminant function for people verification,
796,SE Bekhouche|A Ouafi|F Dornaika,"We present a novel learning system for human demographic estimation in which the
ethnicity, gender and age attributes are estimated from facial images. The proposed
approach consists of the following three main stages: 1) face alignment and preprocessing; …",14713255095709326851,14,Pyramid multi-level features for facial demographic estimation,http://salah.bekhouche.com/publications/journal-articles/eswa2017.pdf
797,S Saxena|J Verbeek,"Mahalanobis metric learning amounts to learning a linear data projection, after which the L2
metric is used to compute distances. To allow more flexible metrics, not restricted to linear
projections, local metric learning techniques have been developed. Most of these methods …",11007444265048615830,11,Coordinated local metric learning,https://www.cv-foundation.org/openaccess/content_iccv_2015_workshops/w11/papers/Saxena_Coordinated_Local_Metric_ICCV_2015_paper.pdf
798,V Mirjalili|S Raschka|A Namboodiri,"In this paper, we design and evaluate a convolutional autoencoder that perturbs an input
face image to impart privacy to a subject. Specifically, the proposed autoencoder transforms
an input face image such that the transformed image can be successfully used for face …",15707463497258848910,8,Semi-adversarial networks: Convolutional autoencoders for imparting privacy to face images,https://arxiv.org/pdf/1712.00321
799,D Xie|L Zhang|L Bai,"Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features
from input data. Nowadays, researchers have intensively investigated deep learning
algorithms for solving challenging problems in many areas such as image classification …",15328430628153380223,16,Deep learning in visual computing and signal processing,http://downloads.hindawi.com/journals/acisc/2017/1320780.pdf
800,N Correia|R Jesus,"Augmented reality games have the power to extend virtual gaming into real world scenarios
with real people, while enhancing the senses of the user. This paper describes the AR-
Zombie game developed with the aim of studying and developing mobile augmented reality …",17008894968508976335,12,ARZombie: A mobile augmented reality game with multimodal interaction,
801,L Zhang|KT Ma|H Nejati|T Sim,"Identical twins pose a great challenge to face recognition due to high similarities in their
appearances. Motivated by the psychological findings that facial motion contains identity
signatures and the observation that twins may look alike but behave differently, we develop …",3242689349301730507,8,A talking profile to distinguish identical twins,https://www.computer.org/csdl/proceedings/fg/2013/5545/00/06553700.pdf
802,J Ylioinas|A Hadid|J Kannala,"Automatic face recognition in unconstrained conditions is a difficult task which has recently
attained increasing attention. In this domain, face verification methods have significantly
improved since the release of the Labeled Faces in the Wild database, but the related …",2506044239895304980,8,An in-depth examination of local binary descriptors in unconstrained face recognition,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.704.4313&rep=rep1&type=pdf
803,A Iosifidis|M Gabbouj,"In this paper, a novel approximate solution of the criterion used in non-linear class-specific
discriminant subspace learning is proposed. We build on the Class-Specific Kernel Spectral
Regression method which is a two-step process formed by an eigenanalysis step and a …",7267332095397073349,12,Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification.,http://www.projectsgoal.com/download_projects/information-forensic/information-forensic-projects-GFA00013.pdf
804,V Struc|J Krizaj|S Dobrisek,"The facial imagery usually at the disposal for forensics investigations is commonly of a poor
quality due to the unconstrained settings in which it was acquired. The captured faces are
typically non-frontal, partially occluded and of a low resolution, which makes the recognition …",10527309781864459332,8,MODEST face recognition,
805,YS El-Din|MN Moustafa|H Mahdi,"Existing methods for gender classification from facial images mostly rely on either shape or
texture cues. This paper presents a novel face representation that combines both shape and
texture information for gender classification. We propose extracting the Scale Invariant …",11074762595667554291,9,Landmarks-SIFT face representation for gender classification,https://link.springer.com/content/pdf/10.1007/978-3-642-41184-7_34.pdf
806,S Moschoglou|A Papaioannou,"Over the last few years, increased interest has arisen with respect to age-related tasks in the
Computer Vision community. As a result, several “in-the-wild” databases annotated with
respect to the age attribute became available in the literature. Nevertheless, one major …",550458098928839464,15,"[PDF] Agedb: the first manually collected, in-the-wild age database",http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf
807,K Hsieh|G Ananthanarayanan|P Bodik,"Large volumes of videos are continuously recorded from cameras deployed for traffic control
and surveillance with the goal of answering “after the fact” queries: identify video frames with
objects of certain classes (cars, bags) from many days of recorded video. Current systems …",3588224004408645025,8,Focus: Querying large video datasets with low latency and low cost,https://www.usenix.org/system/files/osdi18-hsieh.pdf
808,D Turcsany|A Bargiela|T Maul,"Automatic extraction of distinctive features from a visual information stream is challenging
due to the large amount of information contained in most image data. In recent years deep
neural networks (DNNs) have gained outstanding popularity for solving visual information …",17351109038409917213,11,Local receptive field constrained deep networks,http://www.intelligentmodelling.org.uk/papers/a56.pdf
809,J Lin|Y Rao|J Lu,"In this paper, we propose a Runtime Neural Pruning (RNP) framework which prunes the
deep neural network dynamically at the runtime. Unlike existing neural pruning methods
which produce a fixed pruned model for deployment, our method preserves the full ability of …",16204348063310583286,31,Runtime neural pruning,http://papers.nips.cc/paper/6813-runtime-neural-pruning.pdf
810,HK Ekenel,"In previous research on gender classification and age estimation did not use a standardised
evaluation procedure. This makes comparison the different ap- proaches difficult. Thus we propose
here a benchmarking and evaluation protocol for gender classification as well as age estimation …",9636905475012050929,9,[PDF] Draft: evaluation guidelines for gender classification and age estimation,https://cvhci.anthropomatik.kit.edu/download/befit-evaluation_guidelines.pdf
811,V Štruc|JŽ Gros,"The alignment of the facial region with a predefined canonical form is one of the most crucial
steps in a face recognition system. Most of the existing alignment techniques rely on the
position of the eyes and, hence, require an efficient and reliable eye localization procedure …",4422392888008716401,8,Principal directions of synthetic exact filters for robust real-time eye localization,https://www.researchgate.net/profile/Vitomir_Struc/publication/225625270_Principal_Directions_of_Synthetic_Exact_Filters_for_Robust_Real-Time_Eye_Localization/links/0c960522623bf01d32000000.pdf
812,B Xiao|X Gao|D Tao|X Li,"Face recognition is one of the biometric identification methods with the highest potential. The
existing face recognition algorithms relying on the texture information of face images are
affected greatly by the variation of expression, scale and illumination. Whereas the …",12684334163495183873,8,Biview face recognition in the shape–texture domain,
813,SE Ebadi|E Izquierdo,"The research reported in this paper addresses the fundamental task of separation of locally
moving or deforming image areas from a static or globally moving background. It builds on
the latest developments in the field of robust principal component analysis, specifically, the …",7701763184963544087,9,Approximated robust principal component analysis for improved general scene background subtraction,https://arxiv.org/pdf/1603.05875
814,Y Xu,"In recent years, deep networks has achieved outstanding performance in computer vision,
especially in the field of face recognition. In terms of the performance for a face recognition
model based on deep network, there are two main closely related factors: 1) the structure of …",15715043953023528325,18,[HTML] Face recognition using both visible light image and near-infrared image and a deep network,https://www.sciencedirect.com/science/article/pii/S2468232217300148
815,G Mesnil|A Bordes|J Weston|G Chechik|Y Bengio,"Recently, large scale image annotation datasets have been collected with millions of images
and thousands of possible annotations. Latent variable models, or embedding methods, that
simultaneously learn semantic representations of object labels and image representations …",15294880831709826639,9,Learning semantic representations of objects and their parts,http://chechiklab.biu.ac.il/~gal/Papers/Mesnil_MachineLearning2013_objects_and_their_parts.pdf
816,D Zhang,"Learning distance metrics for measuring the similarity between two data points in
unsupervised and supervised pattern recognition has been widely studied in unconstrained
face verification tasks. Motivated by the fact that enforcing single distance metric learning for …",7158139927414873663,8,Metricfusion: Generalized metric swarm learning for similarity measure,
817,SJ Ruan,"This paper develops a hardware-efficient color segmentation algorithm that is especially
suitable to implement on hardware for face detection. Since the modulized design is
adopted in the proposed algorithm without floating-point operation, the computational cost is …",15895841013808794380,8,A hardware-efficient color segmentation algorithm for face detection,
818,A Moeini|K Faez,"In this paper, a novel method is proposed for unconstrained pose-invariant face recognition
from only an image in a gallery. A 3D face is initially reconstructed using only a 2D frontal
image. Then, for each person in the gallery, a Triplet Collaborative Dictionary Matrix (TCDM) …",8142997214317111442,9,Unconstrained pose-invariant face recognition by a triplet collaborative dictionary matrix,
819,P Martins|JF Henriques,"This paper presents a novel Bayesian formulation for aligning faces in unseen images. Our
approach revisits the Constrained Local Models (CLM) formulation where an ensemble of
local feature detectors are constrained to lie within the subspace spanned by a Point …",10274722610213521449,11,Bayesian constrained local models revisited,
820,A Ahrary,"In this paper, we propose a novel approach for presenting the local features of digital image
using 1D Local Patterns by Multi-Scans (1DLPMS). We also consider the extentions and
simplifications of the proposed approach into facial images analysis. The proposed …",16476967698593734598,8,Image description with local patterns: An application to face recognition,https://www.jstage.jst.go.jp/article/transinf/E95.D/5/E95.D_5_1494/_pdf
821,M Uřičář|V Franc|V Hlaváč,"We propose a principled approach to supervised learning of facial landmarks detector
based on the Deformable Part Models (DPM). We treat the task of landmarks detection as an
instance of the structured output classification. To learn the parameters of the detector we …",13554475399808268665,8,Facial landmarks detector learned by the structured output svm,ftp://cmp.felk.cvut.cz/pub/cvl/articles/uricar/UricarFrancHlavac-LNCS13.pdf
822,J Ylioinas|X Hong|M Pietikäinen,"In this paper we propose a novel method for constructing Local Binary Pattern (LBP)
statistics for image appearance description. The method is inspired by the kernel density
estimation designed for estimating the underlying probability function of a random variable …",13239107891278482003,9,Constructing local binary pattern statistics by soft voting,https://link.springer.com/content/pdf/10.1007/978-3-642-38886-6_12.pdf
823,LL Presti|M La Cascia,"Due to the widespread use of cameras, it is very common to collect thousands of personal
photos. A proper organization is needed to make the collection usable and to enable an
easy photo retrieval. In this paper, we present a method to organize personal photo …",13939539099337935615,9,An on-line learning method for face association in personal photo collection,http://www.academia.edu/download/44648852/An_On-line_Learning_Method_for_Face_Asso20160412-30358-60km8p.pdf
824,A Lupp,"The main goal in our experimental study was to explore the impact of image compression on
face detection using Haar-like features. In our setup we used the JPEG, JPEG2000 and
JPEG XR compression standards to compress images from selected databases at given …",4472369858191697079,9,Exploring compression impact on face detection using haar-like features,http://wavelab.at/papers/Elmer15a.pdf
825,A Yu|K Grauman,"Distinguishing subtle differences in attributes is valuable, yet learning to make visual
comparisons remains nontrivial. Not only is the number of possible comparisons quadratic in
the number of training images, but also access to images adequately spanning the space of …",7427952723952705219,20,[PDF] Semantic jitter: Dense supervision for visual comparisons via synthetic images,http://openaccess.thecvf.com/content_ICCV_2017/papers/Yu_Semantic_Jitter_Dense_ICCV_2017_paper.pdf
826,Y Sun|Z Sun,"Biometrics is the technique of automatically recognizing individuals based on their biological
or behavioral characteristics. Various biometric traits have been introduced and widely
investigated, including fingerprint, iris, face, voice, palmprint, gait and so forth. Apart from …",2764261411898738543,14,"Demographic analysis from biometric data: Achievements, challenges, and new frontiers",
827,J Huang|Q Qiu|G Sapiro,"This paper proposes a framework for learning features that are robust to data variation,
which is particularly important when only a limited number of trainingsamples are available.
The framework makes it possible to tradeoff the discriminative value of learned features …",7720014550433923256,8,Discriminative robust transformation learning,https://papers.nips.cc/paper/5975-discriminative-robust-transformation-learning.pdf
828,J Zhu|C Cai,"In this paper, a face detector based on Gentle AdaBoost algorithm and nesting cascade
structure is proposed. Nesting cascade structure is introduced to avoid that too many weak
classifiers in a cascade classifier will slow down the face detection speed of this cascade …",5611411639357459789,8,Real-time face detection using gentle AdaBoost algorithm and nesting cascade structure,
829,G Sharma|F Jurie,"We propose a new image representation for texture categorization and facial analysis,
relying on the use of higher-order local differential statistics as features. It has been recently
shown that small local pixel pattern distributions can be highly discriminative while being …",16375095739192457310,11,Local higher-order statistics (LHS) describing images with statistics of local non-binarized pixel patterns,https://arxiv.org/pdf/1510.00542
830,H Gao|HK Ekenel|R Stiefelhagen,"In this work, we exploit the regression trees-based ranking model, which has been
successfully applied in the domain of web-search ranking, to build appearance models for
face alignment. The model is an ensemble of regression trees which is learned with gradient …",1357315956925011082,9,[PDF] Face Alignment Using a Ranking Model based on Regression Trees.,https://pdfs.semanticscholar.org/1b62/6c14544f249cd52ef86a4efc17f3d3834003.pdf
831,A Ganesh|J Wright,"In this chapter, we present a comprehensive framework for tackling the classical problem of
face recognition, based on theory and algorithms from sparse representation. Despite
intense interest in the past several decades, traditional pattern recognition theory still stops …",6357074072041966491,9,[PDF] Face recognition by sparse representation,https://pdfs.semanticscholar.org/ad9e/cacca5c28b098096ad0cbd81fe84405924e3.pdf
832,J Wang|B Amos|A Das|N Sadeh,"We present OpenFace, our new open-source face recognition system that approaches state-
of-the-art accuracy. Integrating OpenFace with inter-frame tracking, we build RTFace, a
mechanism for denaturing video streams that selectively blurs faces according to specified …",2190631323236051270,21,A scalable and privacy-aware IoT service for live video analytics,https://dl.acm.org/ft_gateway.cfm?id=3083192&type=pdf
833,Y Duan|J Lu|J Feng,"In this paper, we propose a rotation-invariant local binary descriptor (RI-LBD) learning
method for visual recognition. Compared with hand-crafted local binary descriptors, such as
local binary pattern and its variants, which require strong prior knowledge, local binary …",11662913860497279692,18,Learning rotation-invariant local binary descriptor,http://ivg.au.tsinghua.edu.cn/people/Yueqi_Duan/TIP17_Learning%20Rotation-Invariant%20Local%20Binary%20Descriptor.pdf
834,M Kan|X Liu|Y Yang,"Abstract Convolutional Neural Network (CNN) has led to significant progress in face
recognition. Currently most CNN-based face recognition methods follow a two-step pipeline,
ie a detected face is first aligned to a canonical one predefined by a mean face shape, and …",13111143692893595835,17,[PDF] Recursive spatial transformer (rest) for alignment-free face recognition,http://openaccess.thecvf.com/content_ICCV_2017/papers/Wu_Recursive_Spatial_Transformer_ICCV_2017_paper.pdf
835,T Zhang,"Methods, systems, and computer readable media with executable instructions, and/or logic
are provided for incremental image clustering. An example method for incremental image
clustering can include identifying, via a computing device, a number of candidate nodes …",13806778964358182239,8,Incremental image clustering,https://patentimages.storage.googleapis.com/fd/49/a3/501051967c2e2a/US9239967.pdf
836,K Scherbaum|J Petterson|RS Feris,"Face detection is an important task in computer vision and often serves as the first step for a
variety of applications. State-of-the-art approaches use efficient learning algorithms and train
on large amounts of manually labeled imagery. Acquiring appropriate training images …",17755714579463755750,7,Fast face detector training using tailored views,https://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Scherbaum_Fast_Face_Detector_2013_ICCV_paper.pdf
837,K He|Y Fu|YG Jiang,"Deep neural networks have significantly improved the performance of face recognition and
facial attribute prediction, which however are still very challenging on the million scale
dataset, ie MegaFace. In this paper, we for the first time, advocate a multi-task deep neural …",1971079888246543321,9,Multi-task deep neural network for joint face recognition and facial attribute prediction,http://www.yugangjiang.info/publication/icmr17-face.pdf
838,X Yu|J Huang|S Zhang|DN Metaxas,"This paper addresses the problem of facial landmark localization and tracking from a single
camera. We present a two-stage cascaded deformable shape model to effectively and
efficiently localize facial landmarks with large head pose variations. In initialization stage, we …",13407827634295010191,10,Face landmark fitting via optimized part mixtures and cascaded deformable model,
839,,"This chapter describes the methods used to prepare images for further analysis, including
interest point and feature extraction. Some of these methods are also useful for global and
local feature description, particularly the metrics derived from transforms and basis spaces …",18057336603821374535,8,Image pre-processing,https://pdfs.semanticscholar.org/cc43/a71e05cfc49ab0777b82ca94d181f779149f.pdf
840,Ž Emeršič|D Štepec|V Štruc|P Peer,"In this paper we present the results of the Unconstrained Ear Recognition Challenge
(UERC), a group benchmarking effort centered around the problem of person recognition
from ear images captured in uncontrolled conditions. The goal of the challenge was to …",11383204824639289247,11,The unconstrained ear recognition challenge,https://arxiv.org/pdf/1708.06997
841,R Satta|J Galbally,"One of the biggest challenges faced by law enforcement entities in the present digital era, is
fighting against online Child Sexual Abuse (CSA), due in particular to the massive amount of
data that they receive for analysis. Pattern recognition system can provide an aid, eg, to …",1731929379398814062,7,Children gender recognition under unconstrained conditions based on contextual information,https://pralab.diee.unica.it/sites/default/files/Satta_ICPR2014.pdf
842,L Ni|H Huang|H Yu,"The recently emerging resistive random-access memory (RRAM) can provide nonvolatile
memory storage but also intrinsic computing for matrix-vector multiplication, which is ideal
for the low-power and high-throughput data analytics accelerator performed in memory …",16952710576375984409,11,Distributed in-memory computing on binary RRAM crossbar,https://dr.ntu.edu.sg/bitstream/handle/10220/43796/Distributed%20In-Memory%20Computing%20on%20Binary%20RRAM%20Crossbar.pdf?sequence=1&isAllowed=y
843,H Demirel|G Anbarjafari,"NAO humanoid robots are being used in many human-robot interaction applications. One of
the important existing challenges is developing an accurate real-time face recognition
system which does not require to have high computational cost. In this research work a real …",10654355514690417654,9,Real-time ensemble based face recognition system for NAO humanoids using local binary pattern,https://www.researchgate.net/profile/Gholamreza_Anbarjafari/publication/318163619_Real-time_ensemble_based_face_recognition_system_for_NAO_humanoids_using_local_binary_pattern/links/5a61d8334585158bca4a2032/Real-time-ensemble-based-face-recognition-system-for-NAO-humanoids-using-local-binary-pattern.pdf
844,Z Wu|H Tao,"Improving the quality of image data through noise filtering has gained more attention for a
long time. To date, many studies have been devoted to filter the noise inside the image,
while few of them focus on filtering the instance-level noise among normal images. In this …",3841899035198739103,9,A novel noise filter based on interesting pattern mining for bag-of-features images,http://jselab.njue.edu.cn/download/journal/A%20Novel%20Noise%20Filter%20based%20on%20Interesting%20Pattern%20Mining%20for%20Bag-of-features%20Images.pdf
845,Y Wang|Y Feng|H Liao|J Luo,"We study to what extend Chinese, Japanese and Korean faces can be classified and which
facial attributes offer the most important cues. First, we propose a novel way of ob-taining
large numbers of facial images with nationality la-bels. Then we train state-of-the-art neural …",6002629642344335326,7,"Do they all look the same? deciphering chinese, japanese and koreans by fine-grained deep learning",https://arxiv.org/pdf/1610.01854
846,Y Liu|K Zhang,"Head pose estimation (HPE) is important in human–machine interfaces. However, various
illumination, occlusion, low image resolution and wide scene make the estimation task
difficult. Hence, a Dirichlet-tree distribution enhanced Random Forests approach (D-RF) is …",5291708496419383184,13,Robust head pose estimation using Dirichlet-tree distribution enhanced random forests,
847,W Ni|NS Vu,"Entropy Congealing is an unsupervised joint image alignment method, in which the
transformation parameters are obtained by minimizing a sum-of-entropy function. Our
previous work presented a forward formulation of entropy Congealing to estimate all the …",10995423837146763856,7,Lucas–Kanade based entropy congealing for joint face alignment,
848,F Siyahjani|R Almohsen,"Sparse representation and low-rank matrix decomposition approaches have been
successfully applied to several computer vision problems. They build a generative
representation of the data, which often requires complex training as well as testing to be …",9988671356851386529,7,A supervised low-rank method for learning invariant subspaces,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Siyahjani_A_Supervised_Low-Rank_ICCV_2015_paper.pdf
849,AT Tran|T Hassner|I Masi|E Paz,"Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D
results, but typically only for near frontal, unobstructed viewpoints. We describe a system
designed to provide detailed 3D reconstructions of faces viewed under extreme conditions …",10448321746264101474,7,[PDF] Extreme 3D Face Reconstruction: Seeing Through Occlusions,https://pdfs.semanticscholar.org/dbce/d84d839165d9b494982449aa2eb9109b8467.pdf
850,W Scheirer|TE Boult,"In this paper, we take a look at an enhanced approach for eye detection under difficult
acquisition circumstances such as low-light, distance, pose variation, and blur. We present a
novel correlation filter based eye detection pipeline that is specifically designed to reduce …",13292528387735326616,7,For your eyes only,https://www.wjscheirer.com/papers/wjs_wacv2012_eyes.pdf
851,Y Yan|H Wang,"In this paper, an effective unconstrained correlation filter called Unconstrained Optimal
Origin Tradeoff Filter (UOOTF) is presented and applied to robust face recognition.
Compared with the conventional correlation filters in Class-dependence Feature Analysis …",13192438100553627127,7,An effective unconstrained correlation filter and its kernelization for face recognition,https://arxiv.org/pdf/1603.07800
852,J Bergstra|DD Cox,"One of the goals of the ICML workshop on representation and learning is to establish
benchmark scores for a new data set of labeled facial expressions. This paper presents the
performance of a"" Null"" model consisting of convolutions with random weights, PCA …",5821051615257541673,10,"Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a"" Null"" Model be?",https://arxiv.org/pdf/1306.3476
853,KC Allen,"Automatic face recognition technologies have seen significant improvements in performance
due to a combination of advances in deep learning and availability of larger data sets for
training deep networks. Since recognizing faces is a task that humans are believed to be …",15984288412091426509,11,A comparison of human and automated face verification accuracy on unconstrained image sets,https://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Blanton_A_Comparison_of_CVPR_2016_paper.pdf
854,E Ghaleb|M Tapaswi|Z Al-Halah|HK Ekenel,"Video face recognition is a very popular task and has come a long way. The primary
challenges such as illumination, resolution and pose are well studied through multiple data
sets. However there are no video-based data sets dedicated to study the effects of aging on …",3396865094554312873,8,Accio: A data set for face track retrieval in movies across age,http://www.cs.toronto.edu/~makarand/papers/ICMR2015.pdf
855,F Alvarez,"Measuring customer reaction to new products for understanding their level of engagement is
necessary for the future of retail. This work introduces a workflow to improve the quality and
efficiency of the retail establishments in order to increase their attractiveness. Different …",4541604785335045488,10,Improving retail efficiency through sensing technologies: A survey,https://www.researchgate.net/profile/Marcos_Quintana3/publication/304173361_Improving_retail_efficiency_through_sensing_technologies_A_survey/links/5ab81d2745851515f59f4913/Improving-retail-efficiency-through-sensing-technologies-A-survey.pdf
856,RP Maheshwari|B Raman,"This paper presents a new feature extraction method, compass local binary pattern (CoLBP)
for facial gender recognition. To achieve robustness, the proposed method first computes
directional edge responses using eight Kirsch compass masks. Then, the spatial …",2077152873039373108,9,Compass local binary patterns for gender recognition of facial photographs and sketches,http://rendicahya.lecture.ub.ac.id/files/2018/03/Compass-local-binary-patterns-for-gender-recognition-of-facial-photographs-and-sketches.pdf
857,O Arandjelovic,"We are interested in identity-based retrieval of face sets from large unlabelled collections
acquired in uncontrolled environments. Given a baseline algorithm for measuring the
similarity of two face sets, the meta-algorithm introduced in this paper seeks to leverage the …",16054200820594368283,8,Learnt quasi-transitive similarity for retrieval from large collections of faces,https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Arandjelovic_Learnt_Quasi-Transitive_Similarity_CVPR_2016_paper.pdf
858,Y Nakatsukasa|T Soma,"For a given matrix subspace, how can we find a basis that consists of low-rank matrices?
This is a generalization of the sparse vector problem. It turns out that when the subspace is
spanned by rank-1 matrices, the matrices can be obtained by the tensor CP decomposition …",8649020884271469824,11,Finding a low-rank basis in a matrix subspace,https://arxiv.org/pdf/1503.08601
859,C Petitjean|L Heutte,"Manifold learning techniques have shown a great potential for computer vision problems;
however, they do not extend easily to points different from the ones on which they were
trained (out-of-sample). On the other hand, extreme learning machine (ELM) is a powerful …",8074081388007878022,8,Extreme learning machine for out-of-sample extension in Laplacian eigenmaps,
860,Y Duan|J Lu|J Feng,"Metric learning has been widely used in many visual analysis applications, which learns
new distance metrics to measure the similarities of samples effectively. Conventional metric
learning methods learn a single linear Mahalanobis metric, yet such linear projections are …",12361472795508513058,7,Deep localized metric learning,http://ivg.au.tsinghua.edu.cn/people/Yueqi_Duan/TCSVT18_Deep%20Localized%20Metric%20Learning.pdf
861,SB Dabhade|MM Kazi,"Biometrics is a system in which we used to recognise human on the basis of its physical or
behavioural characteristics. Today all over the world every country wants security of data,
physical access, etc. Face recognition is widely accepted technique in human being same …",3714838609477051143,8,[PDF] Face Recognition using Principle Component Analysis and Linear Discriminant Analysis: Comparative Study,https://www.researchgate.net/profile/Siddharth_Dabhade/publication/317329296_Face_Recognition_using_PCA_and_LDA_Comparative_Study/data/59329e5baca272fc551457df/Face-Recognition-using-PCA-and-LDA-Comparative-Study.pdf
862,S Ge,"Accurate eye localization plays a key role in many face analysis related applications. In this
paper, we propose a novel statistic-based eye localization framework with a group of trained
filter arrays called multi-channel correlation filter bank (MCCFB). Each filter array in the bank …",1221465289525876603,7,Learning multi-channel correlation filter bank for eye localization,
863,P Samangouei|VM Patel|R Chellappa,"We present a method using facial attributes for continuous authentication of smartphone
users. We train a bunch of binary attribute classifiers which provide compact visual
descriptions of faces. The learned classifiers are applied to the image of the current user of a …",290203267624433130,17,Facial attributes for active authentication on mobile devices,
864,P Martins|JF Henriques,"This paper addresses to the problem of aligning images in unseen faces. The Constrained
Local Models (CLM) are popular methods that combine a set of local landmark detectors
whose locations are constrained to lie in a subspace spanned by a linear shape model. The …",17861771957370095423,7,Likelihood-enhanced Bayesian constrained local models,http://home.isr.uc.pt/~pedromartins/Publications/pmartins_icip2014.pdf
865,W Liu|Z Yu|Y Wen|M Yang,"Sparse coding with dictionary learning (DL) has shown excellent classification performance.
Despite the considerable number of existing works, how to obtain features on top of which
dictionaries can be better learned remains an open and interesting question. Many current …",3806502188705482965,8,Jointly learning non-negative projection and dictionary with discriminative graph constraints for classification,https://arxiv.org/pdf/1511.04601
866,CY Low|ABJ Teoh,"This paper devises a new means of filter diversification, dubbed multi-fold filter convolution
(M-FFC), for face recognition. On the assumption that M-FFC receives single-scale Gabor
filters of varying orientations as input, these filters are self-cross convolved by M-fold to …",4321050519291789737,7,"Multi-fold Gabor, PCA and ICA filter convolution descriptor for face recognition",https://arxiv.org/pdf/1604.07057
867,MK Hasan|CJ Pal,"We present a novel method for face-recognition based on leveraging weak or noisily labeled
data. We combine facial images from the Labeled Faces in the Wild (LFW) dataset with face
images extracted from videos on YouTube and face images returned using a search engine …",10110152799215307530,9,Learning from weakly labeled faces and video in the wild,
868,,"Abstract Recently, Deep Convolution Neural Networks (DCNNs) have shown outstanding
performance in face recognition. However, the supervised training process of DCNN
requires a large number of labeled samples which are expensive and time consuming to …",12937511439321278083,18,Data augmentation for face recognition,
869,MC Yeh,"This work addresses the Huawei Grand Challenge that seeks solutions of quality
improvement and functionality extension in computational photography. We propose virtual
portraitist-a new method that helps users take good selfies in angle. Dissimilar to current …",6547354050172522697,8,Virtual portraitist: aesthetic evaluation of selfies based on angle,
870,L Zheng|C Garcia,"This paper presents a new method for similarity metric learning, called Logistic Similarity
Metric Learning (LSML), where the cost is formulated as the logistic loss function, which
gives a probability estimation of a pair of faces being similar. Especially, we propose to shift …",2869441849446584672,10,Logistic similarity metric learning for face verification,https://hal.archives-ouvertes.fr/hal-01158949/file/Liris-7045.pdf
871,H Gao|HK Ekenel|M Fischer|R Stiefelhagen,"Face alignment using deformable face model has attracted broad interest in recent years for
its wide range of applications in facial analysis. Previous work has shown that discriminative
deformable models have better generalization capacity compared to generative models [8 …",3988413080735652819,9,[PDF] Boosting Pseudo Census Transform Features for Face Alignment.,http://i14s50.anthropomatik.kit.edu/download/publications/Gao-bmvc2011.pdf
872,I Melekhov|J Kannala|E Rahtu,"Finding matching images across large datasets plays a key role in many computer vision
applications such as structure-from-motion (SfM), multi-view 3D reconstruction, image
retrieval, and image-based localisation. In this paper, we propose finding matching and non …",1856474199333363610,21,[PDF] Siamese network features for image matching,https://users.aalto.fi/~kannalj1/publications/icpr2016.pdf
873,SE Ebadi|E Izquierdo,"This paper presents an approximated Robust Principal Component Analysis (ARPCA)
framework for recovery of a set of linearly correlated images. Our algorithm seeks an optimal
solution for decomposing a batch of realistic unaligned and corrupted images as the sum of …",8572608138875143724,12,Approximated RPCA for fast and efficient recovery of corrupted and linearly correlated images and video frames,https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/13008/ERFANIAN%20Approximated%20RPCA%20for%20Fast%202015%20Accepted.pdf?sequence=1
874,CJ Parde|C Castillo|MQ Hill|YI Colon,"Face recognition algorithms based on deep convolutional neural networks (DCNNs) have
made progress on the task of recognizing faces in unconstrained viewing conditions. These
networks operate with compact feature-based face representations derived from learning a …",16867580075101425120,9,Deep convolutional neural network features and the original image,https://arxiv.org/pdf/1611.01751
875,N McLaughlin|D Crookes,"In this paper, we introduce a novel approach to face recognition which simultaneously
tackles three combined challenges:(1) uneven illumination;(2) partial occlusion; and (3)
limited training data. The new approach performs lighting normalization, occlusion de …",795773459492016543,9,Largest matching areas for illumination and occlusion robust face recognition,https://pure.qub.ac.uk/portal/files/27152645/largest.pdf
876,K Allen|AK Jain|BF Klare,"As unconstrained face recognition datasets progress from containing faces that can be
automatically detected by commodity face detectors to face imagery with full pose variations
that must instead be manually localized, a significant amount of annotation effort is required …",67593928096661321,9,[PDF] Annotating Unconstrained Face Imagery: A scalable approach.,http://www.academia.edu/download/40972794/Taborsky_Annotating_Unconstrained_Face_Imagery_2015_ICB.pdf
877,K Grm|V Štruc|HK Ekenel,"Convolutional neural network (CNN) based approaches are the state of the art in various
computer vision tasks including face recognition. Considerable research effort is currently
being directed toward further improving CNNs by focusing on model architectures and …",135074023317001118,21,Strengths and weaknesses of deep learning models for face recognition against image degradations,https://arxiv.org/pdf/1710.01494
878,S Shalev-Shwartz,"Deep learning requires data. A useful approach to obtain data is to be creative and mine
data from various sources, that were created for different purposes. Unfortunately, this
approach often leads to noisy labels. In this paper, we propose a meta algorithm for tackling …",14625023666792081100,17,"Decoupling"" when to update"" from"" how to update""",https://papers.nips.cc/paper/6697-decoupling-when-to-update-from-how-to-update.pdf
879,P Martins|JF Henriques|J Batista,"This work presents a novel Bayesian formulation for aligning faces in unseen images. Our
approach is closely related to Constrained Local Models (CLM) and Active Shape Models
(ASM), where an ensemble of local feature detectors are constrained to lie within the …",8003467595817606536,7,[PDF] Let the Shape Speak-Discriminative Face Alignment using Conjugate Priors.,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.718.3861&rep=rep1&type=pdf
880,Y Wang|YY Tang,"Representation-based classifiers (RCs) have attracted considerable attention in face
recognition in recent years. However, most existing RCs use the mean square error (MSE)
criterion as the cost function, which relies on the Gaussianity assumption of the error …",13664785325833946281,15,Robust face recognition via minimum error entropy-based atomic representation,http://or.nsfc.gov.cn/bitstream/00001903-5/337829/1/1000014130990.pdf
881,N Dym|H Maron|Y Lipman,"Correspondence problems are often modelled as quadratic optimization problems over
permutations. Common scalable methods for approximating solutions of these NP-hard
problems are the spectral relaxation for non-convex energies and the doubly stochastic (DS) …",3636026205676277900,11,"DS++: A flexible, scalable and provably tight relaxation for matching problems",https://arxiv.org/pdf/1705.06148
882,M Hasnat,"A number of pattern recognition tasks,\textit {eg}, face verification, can be boiled down to
classification or clustering of unit length directional feature vectors whose distance can be
simply computed by their angle. In this paper, we propose the von Mises-Fisher (vMF) …",13993269866451809589,11,von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification,https://arxiv.org/pdf/1706.04264
883,T Gass|H Ney,"We propose to use energy minimization in MRFs for matching-based image recognition
tasks. To this end, the Tree-Reweighted Message Passing algorithm is modified by
geometric constraints and efficiently used by exploiting the guaranteed monotonicity of the …",5385723658117269066,9,Constrained energy minimization for matching-based image recognition,http://www.quaero.org/media/files/bibliographie/gass.pdf
884,L Pauly,"This paper presents a novel method for eye tracking and blink detection in the video frames
obtained from low resolution consumer grade web cameras. It uses a method involving Haar
based cascade classifier for eye tracking and a combination of HOG features with SVM …",9526241585213103172,10,A novel method for eye tracking and blink detection in video frames,https://www.researchgate.net/profile/Leo_Pauly/publication/285228445_A_Novel_Method_for_Eye_Tracking_and_Blink_Detection_in_video_frames/links/565c859408aeafc2aac70e9a.pdf
885,M Ghorbani|AT Targhi,"Face recognition has been a long standing problem in computer vision. Histograms of
Oriented Gradients (HOGs) and Local Binary Patterns (LBPs) have proven to be an effective
descriptor for object recognition in general and face recognition in particular. In this paper …",8931710020020039585,12,HOG and LBP: Towards a robust face recognition system,https://www.researchgate.net/profile/Mohammad_Mahdi_Dehshibi/publication/291514246_HOG_and_LBP_Towards_a_robust_face_recognition_system/links/56a3693f08ae1b6511305b88.pdf
886,SL Fernandes,"Implementing computer vision applications on energy efficient and powerful single board
computer devices is a hot topic of research. ODROID-XU4 is one such latest single board
computing device which is extremely energy efficient and powerful, having a small form …",7498648259989783284,9,ODROID XU4 based implementation of decision level fusion approach for matching computer generated sketches,
887,SMM Rahman,"This paper presents a statistical face recognition algorithm by expressing face images in
terms of orthogonal two-dimensional Gaussian-Hermite moments (2D-GHMs). Motivation for
developing 2D-GHM-based recognition algorithm includes the ability of these moments to …",6338537577200555703,7,[HTML] Bayesian face recognition using 2D Gaussian-Hermite moments,https://link.springer.com/article/10.1186/s13640-015-0090-5
888,M Buckler|S Jayasuriya|A Sampson,"Advancements in deep learning have ignited an explosion of research on efficient hardware
for embedded computer vision. Hardware vision acceleration, however, does not address
the cost of capturing and processing the image data that feeds these algorithms. We …",8710104495414163297,13,[PDF] Reconfiguring the imaging pipeline for computer vision,http://openaccess.thecvf.com/content_ICCV_2017/papers/Buckler_Reconfiguring_the_Imaging_ICCV_2017_paper.pdf
889,ZH Tan,"The most fundamental problem of local feature based kinship verification methods is that a
local feature can capture the variations of environmental conditions and the differences
between two persons having a kin relation, which can significantly decrease the …",18396092377470763280,8,A feature subtraction method for image based kinship verification under uncontrolled environments,
890,T Gerig|A Morel-Forster,"In this paper, we present a novel open-source pipeline for face registration based on
Gaussian processes as well as an application to face image analysis. Non-rigid registration
of faces is significant for many applications in computer vision, such as the construction of …",11900588764793275301,14,Morphable face models-an open framework,https://arxiv.org/pdf/1709.08398
891,M De Marsico|M Nappi|D Riccio,"The quality of input samples is a crucial issue for both verification and identification biometric
systems. Literature offers many interesting hints in some contexts, like fingerprint matching,
but it is still deficient in others, like face matching. This paper proposes new quality indices …",1999591280944656654,8,Measuring measures for face sample quality,https://www.researchgate.net/profile/Daniel_Riccio/publication/254002919_Measuring_measures_for_face_sample_quality/links/5402f7160cf23d9765a56190/Measuring-measures-for-face-sample-quality.pdf
892,JX Mi,"Recently linear representation provides an effective way for robust face recognition.
However, the existing linear representation methods cannot make an adaptive adjustment in
responding to the variations on facial image, so the generalization ability of these methods is …",17432035548722265087,11,Robust face recognition via sparse boosting representation,
893,J Hu,"Discriminant analysis is an important technique for face recognition because it can extract
discriminative features to classify different persons. However, most existing discriminant
analysis methods fail to work for single-sample face recognition (SSFR) because there is …",4863416693104693409,12,Discriminative transfer learning with sparsity regularization for single-sample face recognition,
894,M Günther|S Cruz|EM Rudd,"Much research has been conducted on both face identification and face verification, with
greater focus on the latter. Research on face identification has mostly focused on using
closed-set protocols, which assume that all probe images used in evaluation contain …",10479054830325373238,15,[PDF] Toward open-set face recognition,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/papers/Gunther_Toward_Open-Set_Face_CVPR_2017_paper.pdf
895,AF Villan|JLC Candas|RU Fernandez,"According to estimates by the World Health Organization, about 285 million people suffer
from some kind of visual disability, of whom 39 million are blind, resulting in 0.7% of the
world population. Computer vision techniques and image analysis can help improve visually …",5973728355575159621,6,Face recognition and spoofing detection system adapted to visually-impaired people,http://www.revistaieeela.pea.usp.br/issues/vol14issue2Feb.2016/14TLA2_67FernandezVillan.pdf
896,S Kim|HJ Kim,"This paper proposes a novel face recognition method that improves Huang's linear
discriminant regression classification (LDRC) algorithm. The original work finds a
discriminant subspace by maximizing the between-class reconstruction error and minimizing …",10255637662583446289,8,Linear collaborative discriminant regression classification for face recognition,
897,X Yang|M Wang|D Tao,"Traditional metric learning methods usually make decisions based on a fixed threshold,
which may result in a suboptimal metric when the inter-class and inner-class variations are
complex. To address this issue, in this paper we propose an effective metric learning method …",17259842209800040105,7,[PDF] Empirical Risk Minimization for Metric Learning Using Privileged Information.,https://www.ijcai.org/Proceedings/16/Papers/323.pdf
898,,"Eye pupil localization is an important part in computer vision applications such as face
recognition, gaze estimation and so on. In this paper, we propose an improved method for
precise and fast eye pupil localization. Based on gradient boosting decision tree (GBDT) …",6252578862590682657,10,An accurate eye pupil localization approach based on adaptive gradient boosting decision tree,
899,J Roth|X Liu,"We present an algorithm for identity verification using only information from the hair. Face
recognition in the wild (ie, unconstrained settings) is highly useful in a variety of applications,
but performance suffers due to many factors, eg, obscured face, lighting variation, extreme …",6597135943858075669,6,[PDF] On Hair Recognition in the Wild by Machine.,http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/viewFile/8598/8636
900,HX Pham,"We introduce a novel end-to-end real-time pose-robust 3D face tracking framework from
RGBD videos, which is capable of tracking head pose and facial actions simultaneously in
unconstrained environment without intervention or pre-calibration from a user. In particular …",1742283488662716658,9,"Robust real-time 3d face tracking from rgbd videos under extreme pose, depth, and expression variation",
901,Y Cheng|J Zhao|Z Wang|Y Xu,"Low-shot face recognition is a very challenging yet important problem in computer vision.
The feature representation of the gallery face sample is one key component in this problem.
To this end, we propose an Enforced Softmax optimization approach built upon …",6983170353289331701,6,[PDF] Know You at One Glance: A Compact Vector Representation for Low-Shot Learning.,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf
902,V Govindaraju,"Cameras are becoming ubiquitous. Applications including video-based surveillance and
emergency response exploit camera networks to detect anomalies in real time and reduce
collateral damage. A well-known technique for detecting anomalies is spatio-temporal …",9094666156803728771,6,A distributed framework for spatio-temporal analysis on large-scale camera networks,https://smartech.gatech.edu/bitstream/handle/1853/45502/GT-CS-12-10.pdf
903,H Huttunen|K Chen|A Thakur,"This paper studies the prediction of head pose from still images, and summarizes the
outcome of a recently organized competition, where the task was to predict the yaw and
pitch angles of an image dataset with 2790 samples with known angles. The competition …",4885712684940014681,7,Computer vision for head pose estimation: review of a competition,http://www.cs.tut.fi/~hehu/HeadPose.pdf
904,J Zhao|J Han|L Shao,"Recently considerable efforts have been dedicated to unconstrained face recognition, which
requires to identify faces “in the wild” for a set of images and/or video frames captured
without human intervention. Unlike traditional face recognition that compares one-to-one …",10939736347318661229,6,Unconstrained face recognition using a set-to-set distance measure on deep learned features,http://eprints.lancs.ac.uk/87886/4/07936556.pdf
905,ML Smith|LN Smith,"This paper seeks to compare encoded features from both two-dimensional (2D) and three-
dimensional (3D) face images in order to achieve automatic gender recognition with high
accuracy and robustness. The Fisher vector encoding method is employed to produce 2D …",7326148540393508874,6,Gender recognition from facial images: two or three dimensions?,http://eprints.uwe.ac.uk/28147/1/Gender%20recognition%20from%20facial%20images%202D%20or%203D.pdf
906,X Jiang|Y Pang|X Li,"Detecting humans, faces, and other objects is important for pose estimation, behaviour
analysis, and recognition. Most of the existing detection methods exploit sliding-window
technique that typically evaluates image patches at uniform grids, with constant pixel strides …",18202390586082133447,7,Flexible sliding windows with adaptive pixel strides,
907,P Rai|P Khanna,"This work investigates a framework for gender classification which is invariant to
illumination, expression, and noise. It utilizes 2D Gabor filter along with two-directional
2DPCA. Gabor filter gives the real Gabor space which contains crucial face information and …",1204724218458255128,8,"An illumination, expression, and noise invariant gender classifier using two-directional 2DPCA on real Gabor space",
908,MR Mahmoodi|SM Sayedi,"Face detection is one of the most important parts of biometrics and face analysis science.
Numerous methods and algorithms have been developed in recent years; however, there is
a sensible gap between the current detection rate and the ideal one yet. In this paper, a …",5042533069544667962,6,A face detector based on color and texture,
909,RE Parr|X Liao|L Carin,"Feature construction is of vital importance in reinforcement learning, as the quality of a value
function or policy is largely determined by the corresponding features. The recent successes
of deep reinforcement learning (RL) only increase the importance of understanding feature …",18351227936220963481,10,Linear feature encoding for reinforcement learning,https://papers.nips.cc/paper/6305-linear-feature-encoding-for-reinforcement-learning.pdf
910,C Xu|C Lu|J Gao,"To efficiently deal with the complex nonlinear variations of face images, a novel Lie group
kernel is proposed in this work to address the facial analysis problems. Firstly, we present a
linear dynamic model (LDM) based face representation to capture both the appearance and …",3914537738382705337,6,Facial Analysis With a Lie Group Kernel.,https://canyilu.github.io/publications/2015-TCSVT-Lie.pdf
911,X Song|ZH Feng|G Hu|J Kittler,"The paper presents a dictionary integration algorithm using 3D morphable face models
(3DMM) for pose-invariant collaborative-representation-based face classification. To this
end, we first fit a 3DMM to the 2D face images of a dictionary to reconstruct the 3D shape …",15262270169726637505,10,Dictionary integration using 3D morphable face models for pose-invariant collaborative-representation-based classification,https://arxiv.org/pdf/1611.00284
912,JM Saragih,"This chapter will review a particular approach to deformable face alignment coined
constrained local models (CLM). The approach leverages the excellent generalisation
properties of local appearance representations of parts and the strong global constraints …",10308973074068493659,6,Deformable face alignment via local measurements and global constraints,https://pdfs.semanticscholar.org/3046/baea53360a8c5653f09f0a31581da384202e.pdf
913,,"This chapter discusses several topics pertaining to ground truth data, the basis for computer
vision metric analysis. We look at examples to illustrate the importance of ground truth data
design and use, including manual and automated methods. We then propose a method and …",3602668141565396981,11,"Ground truth data, content, metrics, and analysis",
914,X Xu|HA Le|P Dou|Y Wu,"A few well-developed face recognition pipelines have been reported in recent years. Most of
the face-related work focuses on a specific module or demonstrates a research idea. In this
paper, we present a pose-invariant 3D-aided 2D face recognition system (3D2D-PIFR) that …",6072241158151346022,9,Evaluation of a 3D-aided pose invariant 2D face recognition system,https://www.researchgate.net/profile/Xiang_Xu18/publication/320025136_Evaluation_of_a_3D-aided_Pose_Invariant_2D_Face_Recognition_System/links/59c99e7945851556e97a7204/Evaluation-of-a-3D-aided-Pose-Invariant-2D-Face-Recognition-System.pdf
915,P Forczmański,"The paper presents a problem of recognition of facial portraits in the aspect of benchmark
database quality. The aim of the work presented here was to analyse the potential of
datasets published over the Internet and the predicted applicability of such data for the task …",5617057835574339619,6,Comparative analysis of benchmark datasets for face recognition algorithms verification,
916,R Senthilkumar,"This paper describes in detail about important 2D and 3D face and video face databases.
The face and video face databases discussed here includes: Indian Institute of Technology
Kanpur (IIT-K) database, Makeup dataset, University of North Carolina Wilmington …",5211801626521654767,7,A detailed survey on 2D and 3D still face and face video databases part II,https://www.researchgate.net/profile/Ramasamy_Gnanamurthy/publication/269310534_A_detailed_survey_on_2D_and_3D_still_face_and_face_video_databases_part_II/links/563db55308aec6f17dd83fe7.pdf
917,I Sochenkov,"Face recognition is one of the most important tasks in computer vision and pattern
recognition. Face recognition is useful for security systems to provide safety. In some
situations it is necessary to identify the person among many others. In this case this work …",18254233380146801576,9,Effective indexing for face recognition,
918,E Luz|G Moreira|D Menotti,"Usually, in the deep learning community, it is claimed that generalized representations that
yielding outstanding performance/effectiveness require a huge amount of data for learning,
which directly affect biometric applications. However, recent works combining transfer …",8721610297733474743,6,Deep periocular representation aiming video surveillance,
919,MT Islam|C Greenwell,"While face analysis from images is a well-studied area, little work has explored the
dependence of facial appearance on the geographic location from which the image was
captured. To fill this gap, we constructed GeoFaces, a large dataset of geotagged face …",2415274838858798065,9,[HTML] Large-scale geo-facial image analysis,https://jivp-eurasipjournals.springeropen.com/articles/10.1186/s13640-015-0070-9
920,F Bechet|G Damnati,"Person detection and recognition in videos is a hard problem due to the intrinsic ambiguities
of the sound and image channels and their interaction. Whatever method is used to extract
person hypotheses from the audio or the image channels, person recognition in videos …",16317416418121786721,6,Detecting person presence in tv shows with linguistic and structural features,
921,TJ Neal|DL Woodard,"Mobile devices, such as smartphones and tablets, are frequently used for creation and
transmission of private and sensitive messages and files. While personal identification
numbers and passwords have been the standard for mobile device security, users tend to …",12926086988294560447,11,Surveying biometric authentication for mobile device security,http://jprr.org/index.php/jprr/article/viewFile/764/246
922,ML Haurilet|M Tapaswi|Z Al-Halah,"Person identification in TV series has been a popular research topic over the last decade. In
this area, most approaches either use manually annotated data or extract character
supervision from a combination of subtitles and transcripts. However, both approaches have …",12224729720910716252,8,Naming TV characters by watching and analyzing dialogs,http://www.cs.toronto.edu/~makarand/papers/WACV2016.pdf
923,S Balaban,"Deep Neural Networks (DNNs) have established themselves as a dominant technique in
machine learning. DNNs have been top performers on a wide variety of tasks including
image classification, speech recognition, and face recognition. 1-3 Convolutional neural …",17681264668666191642,8,Deep learning and face recognition: the state of the art,
924,M Mitchell,"Recent progress in deep learning has been accompanied by a growing concern for whether
models are fair for users, with equally good performance across different demographics [26,
17]. In computer vision research, such questions are relevant to face detection and the …",10815650366788295782,6,[PDF] InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity,https://pdfs.semanticscholar.org/380d/d0ddd5d69adc52defc095570d1c22952f5cc.pdf
925,RP Maheshwari|R Balasubramanian,"This paper presents multi-quantized local binary patterns for facial gender classification. For
encoding the gray level difference (GLD) between a reference pixel and its neighbors, local
binary pattern employs a binary quantization which retains the sign of GLD but discards the …",9564033795102166771,8,Multi-quantized local binary patterns for facial gender classification,http://rendicahya.lecture.ub.ac.id/files/2018/03/Multi-quantized-local-binary-patterns-for-facial-gender-classification.pdf
926,A Iosifidis|A Tefas|I Pitas,"In this paper, we propose a new regularization approach for Extreme Learning Machine-
based Single-hidden Layer Feedforward Neural network training. We show that the
proposed regularizer is able to weight the dimensions of the ELM space according to the …",6749855314491049635,7,Regularized Extreme Learning Machine for large-scale media content analysis,https://www.sciencedirect.com/science/article/pii/S1877050915018220/pdf?md5=6176bccd9f1aa6263eda0ee84a4618b8&isDTMRedir=Y&pid=1-s2.0-S1877050915018220-main.pdf&_valck=1
927,W Shi|Y Gong|X Tao|J Wang,"We propose a novel method for improving performance accuracies of convolutional neural
network (CNN) without the need to increase the network complexity. We accomplish the goal
by applying the proposed Min-Max objective to a layer below the output layer of a CNN …",159745306127139676,6,Improving CNN performance accuracies with min–max objective,
928,C Seifert|A Balagopalan,"Abstract In recent years, Deep Neural Networks (DNNs) have been shown to outperform the
state-of-the-art in multiple areas, such as visual object recognition, genomics and speech
recognition. Due to the distributed encodings of information, DNNs are hard to understand …",8151157144385757208,14,Visualizations of deep neural networks in computer vision: A survey,http://christinseifert.info/paper/Seifert_glassboxdm_vis-of-dnn-survey_preprint.pdf
929,A Sapkota|TE Boult,"This paper addresses large scale, unconstrained, open set face recognition, which exhibits
the properties of operational face recognition scenarios. Most of the existing face recognition
databases have been designed under controlled conditions or have been constructed from …",15020045976832416118,8,Large scale unconstrained open set face database,
930,J Wang|Y Yi,"Recently, Sparse Representation-based Classification (SRC) has attracted a lot of attention
for its applications to various tasks, especially in biometric techniques such as face
recognition. However, factors such as lighting, expression, pose and disguise variations in …",8519699835777154773,6,[HTML] Locality constrained joint dynamic sparse representation for local matching based face recognition,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113198
931,L Lenc|P Král,"This paper deals with automatic face recognition in the context of a real application for
person identification developed for the Czech News Agency (TK). We focus on popular
Local Binary Patterns (LPBs) that are frequently used in this field with high recognition …",3331710625940115775,8,Local binary pattern based face recognition with automatically detected fiducial points,https://content.iospress.com/download/integrated-computer-aided-engineering/ica506?id=integrated-computer-aided-engineering%2Fica506
932,NH Barnouti|SSM Al-Dabbagh,"Face recognition have gained a great deal of popularity because of the wide range of
applications such as in entertainment, smart cards, information security, law enforcement,
and surveillance. It is a relevant subject in pattern recognition, computer vision, and image …",8697580875679199082,6,[PDF] Face recognition: A literature review,https://www.ijais.org/archives/volume11/number4/barnouti-2016-ijais-451597.pdf
933,CF Benitez-Quiroz|PFU Gotardo,"Deformable shape detection is an important problem in computer vision and pattern
recognition. However, standard detectors are typically limited to locating only a few salient
landmarks such as landmarks near edges or areas of high contrast, often conveying …",17948862640930879954,8,Salient and non-salient fiducial detection using a probabilistic graphical model,https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3810992/
934,MS Nixon,"Soft biometrics are attracting a lot of interest with the spread of surveillance systems, and the
need to identify humans at distance and under adverse visual conditions. Comparative soft
biometrics have shown a significantly better impact on identification performance compared …",7943595149500012484,7,Unconstrained human identification using comparative facial soft biometrics,https://eprints.soton.ac.uk/397973/1/PID4351119.pdf
935,C Corneanu|K Nasrollahi|O Nikisins,"Reliable facial recognition systems are of crucial importance in various applications from
entertainment to security. Thanks to the deep-learning concepts introduced in the field, a
significant improvement in the performance of the unimodal facial recognition systems has …",13681599456179746410,10,Improved RGB-DT based face recognition,http://vbn.aau.dk/files/230667133/IET_BMT_preprint.pdf
936,C Gong|D Tao|K Fu,"Manifold learning is a powerful tool for solving nonlinear dimension reduction problems. By
assuming that the high-dimensional data usually lie on a low-dimensional manifold, many
algorithms have been proposed. However, most algorithms simply adopt the traditional …",6878671877002083495,7,[PDF] Signed Laplacian Embedding for Supervised Dimension Reduction.,http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/download/8165/8819
937,Y Zhou,"Ears have been discovered to have biometric importance for identifying people and/or
verifying their identity. This is largely because of their complex inner shape structure, which
is not only unique but also long-lasting regardless of ageing. In this paper, we make two …",7423051766227564985,8,Deformable models of ears in-the-wild for alignment and recognition,https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2017earrecognitioninthewild.pdf
938,N Pinto|DD Cox,"Many modern computer vision algorithms are built atop of a set of low-level feature
operators (such as SIFT [23, 24]; HOG [8, 3]; or LBP [1, 2]) that transform raw pixel values
into a representation better suited to subsequent processing and classification. While the …",15283606701359407599,6,High-throughput-derived biologically-inspired features for unconstrained face recognition,
939,M Ye,"Face verification is still a difficult problem in badly uncontrolled conditions. Motivated by the
observation that failure of facial image pair-matching is always caused by inconsistent visual
conditions of both total face and face parts, we propose to train multiple classifiers on total …",13988475385094865199,6,Unconstrained face verification by optimally organizing multiple classifiers,
940,G Van Horn|O Mac Aodha|Y Song,"Existing image classification datasets used in computer vision tend to have an even number
of images for each object category. In contrast, the natural world is heavily imbalanced, as
some species are more abundant and easier to photograph than others. To encourage …",8348853386186134148,14,The inaturalist challenge 2017 dataset,https://arxiv.org/pdf/1707.06642
941,AJ O'Toole|CD Castillo|CJ Parde|MQ Hill,"Inspired by the primate visual system, deep convolutional neural networks (DCNNs) have
made impressive progress on the complex problem of recognizing faces across variations of
viewpoint, illumination, expression, and appearance. This generalized face recognition is a …",8192511835003591402,6,Face space representations in deep convolutional neural networks,https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(18)30146-3?dgcid=raven_jbs_etoc_email
942,R Marée|P Geurts|L Wehenkel,"This paper considers the general problem of image classification without using any prior
knowledge about image classes. We study variants of a method based on supervised
learning whose common steps are the extraction of random subwindows described by raw …",16997762105464491841,11,Towards generic image classification using tree-based learning: An extensive empirical study,https://orbi.uliege.be/bitstream/2268/191267/2/maree-prletters2016-supplementary-tables.pdf
943,W Deng,"Abstract Supervised Descent Method (SDM) is a highly efficient and accurate approach for
facial landmark locating/face alignment. It learns a sequence of descent directions that
minimize the difference between the estimated shape and the ground truth in HOG feature …",13052109318654586802,8,Extended supervised descent method for robust face alignment,https://pdfs.semanticscholar.org/5c82/0e47981d21c9dddde8d2f8020146e600368f.pdf
944,X Chen|B Bhanu,"In recent years, extensive efforts have been made for face recognition and retrieval systems.
However, there remain several challenging tasks for face image retrieval in unconstrained
databases where the face images were captured with varying poses, lighting conditions, etc …",10469342357475684486,6,Improving large-scale face image retrieval using multi-level features,http://www.cs.ucr.edu/~xchen010/papers/ICIP2013.pdf
945,,"This thesis establishes a framework for facial feature detection and human face movement
tracking. Statistical models of shape and appearance are built to represent the human face
structure and interpret target images of human faces. The approach is a patch-based …",17228331785683790401,8,Facial feature detection and tracking with a 3d constrained local model,https://research-repository.st-andrews.ac.uk/bitstream/handle/10023/2124/MengYuPhDThesis.pdf
946,L Luo|L Chen|J Yang|J Qian,"Structured sparsity, as an extension of standard sparsity, has shown the outstanding
performance when dealing with some highly correlated variables in computer vision and
pattern recognition. However, the traditional mixed (L 1, L 2) or (L 1, L∞) group norm …",2274018494572920984,7,Tree-structured nuclear norm approximation with applications to robust face recognition,
947,J Hu|J Lu|X Zhou|YP Tan,"Discriminant analysis is an important technique for face recognition because it can extract
discriminative features to classify different persons. However, most existing discriminant
analysis methods fail to work for single-sample face recognition (SSFR) because there is …",16958857274220645818,6,Discriminative transfer learning for single-sample face recognition,http://hujunlin.cn/papers/DTL_ICB15.pdf
948,BC Lovell,"We propose a novel face image similarity measure based on Hausdorff distance (HD). In
contrast to conventional HD-based measures, which are generally applied in the image
space (such as edge maps or gradient images), the proposed HD-based similarity measure …",16306813554367711141,6,Feature space Hausdorff distance for face recognition,https://www.researchgate.net/profile/Brian_Lovell2/publication/220928534_Feature_Space_Hausdorff_Distance_for_Face_Recognition/links/0fcfd50741a01a7c5f000000.pdf
949,L Wolf,"A join is a set of manuscript-fragments that are known to originate from the same original
work. The Cairo Genizah is a collection containing approximately 250,000 fragments of
mainly Jewish texts discovered in the late 19th century. The fragments are today spread out …",401214416434962306,6,Automatically identifying join candidates in the Cairo Genizah,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.150.185&rep=rep1&type=pdf
950,L Tian|Y Ming,"It is well known that higher level features can represent the abstract semantics of original
data. We propose a multiple scales combined deep learning network to learn a set of high-
level feature representations through each stage of convolutional neural network for face …",16719864953087888402,8,Multiple scales combined principle component analysis deep learning network for face recognition,
951,A Bugeau|VT Ta,"This paper addresses an application that has not been much explored, the de-identification
of faces with expressions preservation in images. With the huge amount of images and
videos shared on the Internet, protecting the identity of people in the data becomes crucial …",7600198084172095349,12,Face de-identification with expressions preservation,https://hal.archives-ouvertes.fr/hal-01187654/document
952,D White|PJ Phillips|AJ O'Toole,"Facial identification by forensic examiners is a core component of criminal investigations
and convictions. These identifications are often done in challenging circumstances that
require experts to match identity across images and videos taken at a various distances …",8695469084689194819,8,Human factors in forensic face identification,
953,MH Marhaban|FZ Rokhani|K Samsudin,"Extreme learning machine (ELM) is an interesting algorithm for learning the hidden layer of
single layer feed forward neural networks. However, one of the main shortcomings
restricting further improvement of ELM is the complexity of singular value decomposition …",10430823652571849081,7,FASTA-ELM: a fast adaptive shrinkage/thresholding algorithm for extreme learning machine and its application to gender recognition,
954,W Hwang|J Kim,"In this paper, we propose a novel unifying framework using a Markov network to learn the
relationships among multiple classifiers. In face recognition, we assume that we have
several complementary classifiers available, and assign observation nodes to the features of …",1072851236219076074,7,Markov network-based unified classifier for face recognition,
955,K Stierhoff|J Zeng,"This article presents methods applied for automated detection of fish based on cascade
classifiers of Haar-like features created using underwater images from a remotely operated
vehicle under ocean survey conditions. The images are unconstrained, and the imaging …",11723963809224401802,9,Automated detection of rockfish in unconstrained underwater videos using Haar cascades and a new image dataset: labeled fishes in the wild,https://www.researchgate.net/profile/Kevin_Stierhoff/publication/282381656_Automated_Detection_of_Rockfish_in_Unconstrained_Underwater_Videos_Using_Haar_Cascades_and_a_New_Image_Dataset_Labeled_Fishes_in_the_Wild/links/58757c3c08ae6eb871c9b845.pdf
956,,"Despite over 30 years of research, face recognition is still one of the most difficult problems
in the field of Computer Vision. The challenge comes from many factors affecting the
performance of a face recognition system: noisy input, training data collection, speed …",11332650605913776036,6,Linear subspace methods in face recognition,http://eprints.nottingham.ac.uk/12330/1/thesis_final.pdf
957,A Nagar,"Automatic face recognition is prevalent in a wide range of systems these days and it is
critical to explore new techniques in order to enhance the state of the art. In this paper, we
analyze the Region Covariance Matrix (RCM) and its enhancement based on Sigma sets as …",12361121103841266205,6,Face recognition based on SIGMA sets of image features,
958,S Albanie|A Vedaldi,"Differently from computer vision systems which require explicit supervision, humans can
learn facial expressions by observing people in their environment. In this paper, we look at
how similar capabilities could be developed in machine vision. As a starting point, we …",16423901583059044935,7,Learning grimaces by watching tv,https://arxiv.org/pdf/1610.02255
959,F Shen|Y Yang|X Liu|J Shao,"Automatic face recognition has received significant performance improvement by
developing specialized facial image representations. On the other hand, spatial pyramid
pooling of features encoded by an over-complete dictionary has been the key component of …",3122810548112000028,7,Face identification with second-order pooling in single-layer networks,
960,J Huang|Q Qiu|R Calderbank,"Many recent efforts have been devoted to designing sophisticated deep learning structures,
obtaining revolutionary results on benchmark datasets. The success of these deep learning
methods mostly relies on an enormous volume of labeled training samples to learn a huge …",8837690428722217264,6,Geometry-aware deep transform,https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Huang_Geometry-Aware_Deep_Transform_ICCV_2015_paper.pdf
961,M Ye,"The available face descriptors are always generated by a hand-designed pooling scheme or
without a pooling process. We propose to learn a pooling scheme for high-level features.
First, we obtain the local features on the densely sampled points on a face image. Then, a …",12389715308493085016,6,Learning to pool high-level features for face representation,
962,P Shukla|A Saini|P Singh,"Developmental Disorders are chronic disabilities that have a severe impact on the day to
day functioning of a large section of the human population. Recognizing developmental
disorders from facial images is an important but a relatively unexplored challenge in the field …",9866102897631381018,8,A deep learning frame-work for recognizing developmental disorders,https://www.computer.org/csdl/proceedings/wacv/2017/4822/00/07926667.pdf
963,M Parchami|S Bashbaghi,"Growing number of surveillance and biometric applications seek to recognize the face of
individuals appearing in the viewpoint of video cameras. Systems for video-based FR can
be subjected to challenging operational environments, where the appearance of faces …",6608262159460776242,8,Video-based face recognition using ensemble of haar-like deep convolutional neural networks,http://www.etsmtl.ca/Unites-de-recherche/LIVIA/Recherche-et-innovation/Publications/Publications-2017/Mostafa_IJCNN2017fin.pdf
964,G Hu|Y Hua,"Deep learning has achieved great success in face recognition, however deep-learned
features still have limited invariance to strong intra-personal variations such as large pose
changes. It is observed that some facial attributes (eg eyebrow thickness, gender) are robust …",11111843533287175399,13,[PDF] Attributeenhanced face recognition with neural tensor fusion networks,http://openaccess.thecvf.com/content_ICCV_2017/papers/Hu_Attribute-Enhanced_Face_Recognition_ICCV_2017_paper.pdf
965,JZ Leibo|T Poggio,"Populations of neurons in inferotemporal cortex (IT) maintain an explicit code for object
identity that also tolerates transformations of object appearance eg, position, scale, viewing
angle [1, 2, 3]. Though the learning rules are not known, recent results [4, 5, 6] suggest the …",10641264844545659600,6,Unsupervised learning of clutter-resistant visual representations from natural videos,https://arxiv.org/pdf/1409.3879
966,SN Yanushkevich,"A biometric-enabled watchlist (or a database of persons of interest) is commonly accepted
by national and international security agencies. In particular, the facetrait has demonstrated
promising performance in large-scale open-set tasks in forensics and law enforcement …",3032093443470298132,6,Bridging the gap between forensics and biometric-enabled watchlists for e-borders,https://www.ucalgary.ca/btlab/files/btlab/cim-bridging.pdf
967,W Ge,"We present a novel hierarchical triplet loss (HTL) capable of automatically collecting
informative training samples (triplets) via a defined hierarchical tree that encodes global
context information. This allows us to cope with the main limitation of random sampling in …",7298243351475393908,5,Deep metric learning with hierarchical triplet loss,http://openaccess.thecvf.com/content_ECCV_2018/papers/Ge_Deep_Metric_Learning_ECCV_2018_paper.pdf
968,Z Chai|H Mendez-Vazquez,"Several methods have been proposed to describe face images in order to recognize them
automatically. Local methods based on spatial histograms of local patterns (or operators)
are among the best-performing ones. In this paper, a new method that allows to obtain more …",4880070343147669121,5,[HTML] Explore semantic pixel sets based local patterns with information entropy for face recognition,https://jivp-eurasipjournals.springeropen.com/articles/10.1186/1687-5281-2014-26
969,V Rengarajan|Y Balaji,"Row-wise exposure delay present in CMOS cameras is responsible for skew and curvature
distortions known as the rolling shutter (RS) effect while imaging under camera motion.
Existing RS correction methods resort to using multiple images or tailor scene-specific …",683863316164611260,9,[PDF] Unrolling the shutter: Cnn to correct motion distortions,http://openaccess.thecvf.com/content_cvpr_2017/papers/Rengarajan_Unrolling_the_Shutter_CVPR_2017_paper.pdf
970,,"This paper proposes a method that uses feature fusion to represent images better for face
detection after feature extraction by deep convolutional neural network (DCNN). First, with
Clarifai net and VGG Net-D (16 layers), we learn features from data, respectively; then we …",10293453647154096078,9,Feature extraction and fusion using deep convolutional neural networks for face detection,http://downloads.hindawi.com/journals/mpe/2017/1376726.pdf
971,S Ghosh|X Xu,"Detecting tattoo images stored in information technology (IT) devices of suspects is an
important but challenging task for law enforcement agencies. Recently, the US National
Institute of Standards and Technology (NIST) held a challenge and released a tattoo …",18405194444511655797,8,Tattoo detection based on CNN and remarks on the NIST database,
972,MP Da Silva|P Le Callet,"Multimedia quality assessment has been an important research topic during the last
decades. The original focus on artifact visibility has been extended during the years to
aspects as image aesthetics, interestingness and memorability. More recently …",1386889831299155586,6,What do you think of my picture? Investigating factors of influence in profile images context perception,https://hal.archives-ouvertes.fr/hal-01150952/file/Mazza_HVEIXX.pdf
973,,"Abstract The Visual Internet of Things has received much attention in recent years due to its
ability to get the object location via image information of the scene, attach the visual label to
the object, and then return information of scene objects to the network. In particular, face …",17093175188109710294,5,Compact deep learned feature-based face recognition for Visual Internet of Things,
974,M Nazir|N Riaz,"Gender classification is a fundamental face analysis task. In literature, the focus of most
researchers has been on the face images acquired under controlled conditions. Real-world
face images contain different illumination effects and variations in facial expressions and …",17161158722214491855,5,[PDF] Optimized Features Selection using Hybrid PSO-GA for Multi-View Gender Classification.,"http://ccis2k.org/iajit/PDF/vol.12,no.2/6420.pdf"
975,S Chakraborty|SK Singh|P Chakraborty,"In this paper a novel hand-crafted local quadruple pattern (LQPAT) is proposed for facial
image recognition and retrieval. Most of the existing hand-crafted descriptors encode only a
limited number of pixels in the local neighborhood. Under unconstrained environment the …",14323581680743566875,13,Local quadruple pattern: a novel descriptor for facial image recognition and retrieval,
976,R Achanta,"Face recognition systems are designed to handle well-aligned images captured under
controlled situations. However real-world images present varying orientations, expressions,
and illumination conditions. Traditional face recognition algorithms perform poorly on such …",17278202001552154183,14,Face recognition in real-world images,https://infoscience.epfl.ch/record/224338/files/1926.pdf
977,H Wechsler,"The central position of this article is that validation and interoperability are paramount for the
effective and ethical use of biometrics. Illuminating the relevance for policymakers of the
science underlying the security and privacy aspects of biometrics, this article calls for …",12875848179429229470,7,Biometric Security and Privacy Using Smart Identity Management and Interoperability: Validation and Vulnerabilities of Various Techniques,
978,M Afifi|A Abdelhamed,"Gender classification aims at recognizing a person's gender. Despite the high accuracy
achieved by state-of-the-art methods for this task, there is still room for improvement in
generalized and unrestricted datasets. In this paper, we advocate a new strategy inspired by …",5881277368482146239,13,AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces,https://arxiv.org/pdf/1706.04277
979,M Iliadis|H Wang|R Molina,"In this paper, we propose an iterative method to address the face identification problem with
block occlusions. Our approach utilizes a robust representation based on two characteristics
in order to model contiguous errors (eg, block occlusion) effectively. The first fits to the errors …",17244305484031836845,8,Robust and low-rank representation for fast face identification with occlusions,https://arxiv.org/pdf/1605.02266
980,S Zhang|R He|Z Sun,"MeshFace photos have been widely used in many Chinese business organizations to
protect ID face photos from being misused. The occlusions incurred by random meshes
severely degenerate the performance of face verification systems, which raises the …",11918063394482938699,13,Demeshnet: Blind face inpainting for deep meshface verification,https://arxiv.org/pdf/1611.05271
981,HA Le|IA Kakadiaris,"Face datasets are a fundamental tool to analyze the performance of face recognition
algorithms. However, the accuracy achieved on current benchmark datasets is saturated.
Although multiple face datasets have been published recently, they only focus on the …",546642530731052018,8,[PDF] UHDB31: A dataset for better understanding face recognition across pose and illumination variation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Le_UHDB31_A_Dataset_ICCV_2017_paper.pdf
982,C Zhu|Y Zheng|K Luu|T Hoang Ngan Le,"Weakly supervised methods have recently become one of the most popular machine
learning methods since they are able to be used on large-scale datasets without the critical
requirement of richly annotated data. In this paper, we present a novel, self-taught …",14860515415870134745,10,Weakly supervised facial analysis with dense hyper-column features,https://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w4/papers/Zhu_Weakly_Supervised_Facial_CVPR_2016_paper.pdf
983,DD Hromada|C Tijus,"Five different OpenCV-compatible XML haarcascades of zygomatic smile detectors as well
as five SMILEsamples from which these detectors were derived had been trained and are
presented hereby as a new open source SMILEsmileD package. Samples have been …",12217479682633891628,6,Zygomatic smile detection: The semi-supervised Haar training of a fast and frugal system: A gift to opencv community,
984,BF Klare,"Automated face recognition is a rapidly growing field that uses computer algorithms to
determine the similarity between two face images [73]. Automating this process of facial
identification has enormous implications towards improving public safety and security, and …",11374232204912578980,5,[BOOK] Heterogeneous face recognition,http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.389.6820&rep=rep1&type=pdf
985,T Lansdall-Welfare|N Cristianini,"Analysing the representation of gender in news media has a long history within the fields of
journalism, media and communication. Typically this can be performed by measuring how
often people of each gender are mentioned within the textual content of news articles. In this …",13103553426045115503,7,Measuring gender bias in news images,http://www.www2015.it/documents/proceedings/companion/p893.pdf
986,SZ Gilani|A Mian,"Deep networks trained on millions of facial images are believed to be closely approaching
human-level performance in face recognition. However, open world face recognition still
remains a challenge. Although, 3D face recognition has an inherent edge over its 2D …",9322444079179961935,5,Learning from millions of 3d scans for large-scale 3d face recognition,https://arxiv.org/pdf/1711.05942
987,,"随着大数据时代的到来, 含更多隐含层的深度卷积神经网络(Convolutional neural networks,
CNNs) 具有更复杂的网络结构, 与传统机器学习方法相比具有更强大的特征学习和特征表达
能力. 使用深度学习算法训练的卷积神经网络模型自提出以来在计算机视觉领域的多个大规模 …",1502525848868590213,19,深度卷积神经网络在计算机视觉中的应用研究综述,
988,N Erdoğmuş|S Marcel,"With its wide range of applicability, gender classification is an important task in face image
analysis and it has drawn a great interest from the pattern recognition community. In this
paper, we aim to deal with this problem using Local Binary Pattern Histogram Sequences as …",16456756934177046582,7,Within-and cross-database evaluations for face gender classification via befit protocols,http://openaccess.iyte.edu.tr/bitstream/handle/11147/5412/5412.pdf?sequence=1
989,,"A single glance at a face is enough to infer a first impression about someone. With the
increasing amount of pictures available, selecting the most suitable picture for a given use is
a difficult task. This work focuses on the estimation of the image quality of facial portraits …",8171097885383124682,7,Photo rating of facial pictures based on image segmentation,https://hal.archives-ouvertes.fr/hal-00925436/file/Lienhard2014PhotoRatingOfFacialPicture.pdf
990,蔡灿辉,"本文提出一个基于Gentle AdaBoost 和嵌套级联结构(Nesting Cascade Structure)
的快速人脸检测器. 采用嵌套级联结构并在训练过程中剔除前级节点分类器已使用过的特征,
解决了经典的AdaBoost 级联分类器因各节点分类器独立训练导致不同节点之间特征相同的弱 …",9786157704861198692,5,采用 Gentle AdaBoost 和嵌套级联结构的实时人脸检测,