summaryrefslogtreecommitdiff
path: root/site/datasets/unknown/imdb_wiki.json
diff options
context:
space:
mode:
Diffstat (limited to 'site/datasets/unknown/imdb_wiki.json')
-rw-r--r--site/datasets/unknown/imdb_wiki.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/imdb_wiki.json b/site/datasets/unknown/imdb_wiki.json
index 38748b18..0758c1a5 100644
--- a/site/datasets/unknown/imdb_wiki.json
+++ b/site/datasets/unknown/imdb_wiki.json
@@ -1 +1 @@
-{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "92b61b09d2eed4937058d0f9494d9efeddc39002", "title": "BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92b6/1b09d2eed4937058d0f9494d9efeddc39002.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "79c959833ff49f860e20b6654dbf4d6acdee0230", "title": "Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.02545.pdf"], "doi": []}, {"id": "bb2944569a2b3d3b8340b36d4903c8cddf20047f", "title": "Improving Regression Performance with Distributional Losses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04613.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "357963a46dfc150670061dbc23da6ba7d6da786e", "title": "Online Regression with Model Selection", "year": "2018", "pdf": [], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "36939e6a365e9db904d81325212177c9e9e76c54", "title": "Assessing the Accuracy of Four Popular Face Recognition Tools for Inferring Gender, Age, and Race", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/941b/5492e6ac98355fd7bc7531f846d638e814ac.pdf"], "doi": []}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "a9ad8f6c6bf110485921b17f9790241b1548487c", "title": "Automatic Skin Tone Extraction for Visagism Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9ad/8f6c6bf110485921b17f9790241b1548487c.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "8397956c7ad3bd24c6c6c0b38866e165367327c0", "title": "Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8397/956c7ad3bd24c6c6c0b38866e165367327c0.pdf"], "doi": []}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "9c63c2210b5dde771ec8751cebc4281e74034fb0", "title": "CNN for IMU assisted odometry estimation using velodyne LiDAR", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06352.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "ca7ea4e39ed4ab53394197cf5761be734c7b61fa", "title": "CAAE++: Improved CAAE for Age Progression/Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528393"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "b8e5800dfc590f82a0f7eedefce9abebf8088d12", "title": "How to Train Your Neural Network with Dictionary Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7923743", "http://doi.org/10.1109/DCC.2017.87"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "5366573e96a1dadfcd4fd592f83017e378a0e185", "title": "Server, server in the cloud. Who is the fairest in the crowd?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08801.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "bcd679f5d4ff8c85fddf7f4aff430dbfaa801e15", "title": "XBadges. Identifying and training soft skills with commercial video games. Improving persistence, risk taking & spatial reasoning with commercial video games and facial and emotional recognition system", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00863.pdf"], "doi": []}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "0e3840ea3227851aaf4633133dd3cbf9bbe89e5b", "title": "ChaLearn Looking at People: Events and Resources", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e38/40ea3227851aaf4633133dd3cbf9bbe89e5b.pdf"], "doi": []}, {"id": "a7664247a37a89c74d0e1a1606a99119cffc41d4", "title": "Modal Consistency based Pre-Trained Multi-Model Reuse", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a766/4247a37a89c74d0e1a1606a99119cffc41d4.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}]} \ No newline at end of file
+{"id": "10195a163ab6348eef37213a46f60a3d87f289c5", "citations": [{"id": "1277b1b8b609a18b94e4907d76a117c9783a5373", "title": "VirtualIdentity: Privacy preserving user profiling", "year": "2016", "pdf": ["https://arxiv.org/pdf/1808.10151.pdf"], "doi": []}, {"id": "92b61b09d2eed4937058d0f9494d9efeddc39002", "title": "BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/92b6/1b09d2eed4937058d0f9494d9efeddc39002.pdf"], "doi": []}, {"id": "c7c21e78bdadd1d2d98c43f0be3230e59f008b27", "title": "Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach", "year": "2018", "pdf": ["https://arxiv.org/pdf/1706.00906.pdf"], "doi": []}, {"id": "ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd", "title": "Age group classification in the wild with deep RoR architecture", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296549", "http://doi.org/10.1109/ICIP.2017.8296549"]}, {"id": "ad01c5761c89fdf523565cc0dec77b9a6ec8e694", "title": "Global and Local Consistent Wavelet-domain Age Synthesis", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07764.pdf"], "doi": []}, {"id": "b2543a583d7c6e74ed69f49d4f9a592ef54c6dcb", "title": "Mean-Variance Loss for Deep Age Estimation from a Face", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578652"]}, {"id": "bb2944569a2b3d3b8340b36d4903c8cddf20047f", "title": "Improving Regression Performance with Distributional Losses", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.04613.pdf"], "doi": []}, {"id": "9939498315777b40bed9150d8940fc1ac340e8ba", "title": "ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Escalera_ChaLearn_Looking_at_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789583", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.93", "http://doi.org/10.1109/CVPRW.2016.93"]}, {"id": "15f82c3a7f12b82281aca77d519403086611ae69", "title": "Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/15f8/2c3a7f12b82281aca77d519403086611ae69.pdf"], "doi": []}, {"id": "357963a46dfc150670061dbc23da6ba7d6da786e", "title": "Online Regression with Model Selection", "year": "2018", "pdf": [], "doi": []}, {"id": "50ff21e595e0ebe51ae808a2da3b7940549f4035", "title": "Age Group and Gender Estimation in the Wild With Deep RoR Architecture", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02985.pdf"], "doi": []}, {"id": "1b9472907f5b7a1815c98b4562dce6c46dd2cf34", "title": "Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.07884.pdf"], "doi": []}, {"id": "18858cc936947fc96b5c06bbe3c6c2faa5614540", "title": "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification", "year": "2018", "pdf": ["http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a-supp.pdf", "https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf"], "doi": ["http://proceedings.mlr.press/v81/buolamwini18a.html"]}, {"id": "d3b9ef82c999f16641c7dd41efe6695bf44d34f0", "title": "Multimodal emotion recognition based human-robot interaction enhancement", "year": "2018", "pdf": [], "doi": []}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "4560491820e0ee49736aea9b81d57c3939a69e12", "title": "Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.04008.pdf"], "doi": []}, {"id": "cc45fb67772898c36519de565c9bd0d1d11f1435", "title": "Evaluating Automated Facial Age Estimation Techniques for Digital Forensics", "year": "2018", "pdf": ["https://forensicsandsecurity.com/papers/EvaluatingFacialAgeEstimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424644", "http://doi.org/10.1109/SPW.2018.00028"]}, {"id": "02567fd428a675ca91a0c6786f47f3e35881bcbd", "title": "Deep Label Distribution Learning With Label Ambiguity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.01731.pdf"], "doi": []}, {"id": "22bebedc1a5f3556cb4f577bdbe032299a2865e8", "title": "Effective training of convolutional neural networks for face-based gender and age prediction", "year": "2017", "pdf": ["http://www.eurecom.fr/fr/publication/5252/download/sec-publi-5252.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.031"]}, {"id": "f77c9bf5beec7c975584e8087aae8d679664a1eb", "title": "Local Deep Neural Networks for Age and Gender Classification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.08497.pdf"], "doi": []}, {"id": "ff60d4601adabe04214c67e12253ea3359f4e082", "title": "Video-based emotion recognition in the wild using deep transfer learning and score fusion", "year": "2017", "pdf": ["https://www.cmpe.boun.edu.tr/~salah/imavis_emotiw15_v10.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2017.01.012"]}, {"id": "cdae8e9cc9d605856cf5709b2fdf61f722d450c1", "title": "Deep Learning for Biometrics : A Survey KALAIVANI SUNDARARAJAN", "year": "2018", "pdf": [], "doi": []}, {"id": "36939e6a365e9db904d81325212177c9e9e76c54", "title": "Assessing the Accuracy of Four Popular Face Recognition Tools for Inferring Gender, Age, and Race", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/941b/5492e6ac98355fd7bc7531f846d638e814ac.pdf"], "doi": []}, {"id": "380dd0ddd5d69adc52defc095570d1c22952f5cc", "title": "Improving Smiling Detection with Race and Gender Diversity", "year": "2017", "pdf": [], "doi": []}, {"id": "390dc36d547dbf9bc9774ec8de454e6317a2d170", "title": "InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity", "year": "2017", "pdf": ["https://arxiv.org/pdf/1712.00193.pdf"], "doi": []}, {"id": "d7c2f972c21290e9df8cce1b4f89389983268cb7", "title": "Deep Regression Forests for Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578343"]}, {"id": "3c4f6d24b55b1fd3c5b85c70308d544faef3f69a", "title": "A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics", "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.02952.pdf"], "doi": []}, {"id": "a9ad8f6c6bf110485921b17f9790241b1548487c", "title": "Automatic Skin Tone Extraction for Visagism Applications", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a9ad/8f6c6bf110485921b17f9790241b1548487c.pdf"], "doi": []}, {"id": "78ed6983cbd4175019dd9f7f1bef0a5b409dbca5", "title": "NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.08297.pdf"], "doi": []}, {"id": "d00787e215bd74d32d80a6c115c4789214da5edb", "title": "Faster and Lighter Online Sparse Dictionary Learning Project report", "year": "", "pdf": ["https://pdfs.semanticscholar.org/d007/87e215bd74d32d80a6c115c4789214da5edb.pdf"], "doi": []}, {"id": "8397956c7ad3bd24c6c6c0b38866e165367327c0", "title": "Social Relation Trait Discovery from Visual LifeLog Data with Facial Multi-Attribute Framework", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/8397/956c7ad3bd24c6c6c0b38866e165367327c0.pdf"], "doi": []}, {"id": "df7af280771a6c8302b75ed0a14ffe7854cca679", "title": "Prediction of users' facial attractiveness on an online dating website", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026293", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026293", "http://doi.org/10.1109/ICMEW.2017.8026293"]}, {"id": "a101de23d08350011890f851d4f73ba8f39259c8", "title": "Multi-Task Zipping via Layer-wise Neuron Sharing", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.09791.pdf"], "doi": []}, {"id": "fca6df7d36f449d48a8d1e48a78c860d52e3baf8", "title": "Fine-Grained Age Estimation in the wild with Attention LSTM Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10445.pdf"], "doi": []}, {"id": "d818568838433a6d6831adde49a58cef05e0c89f", "title": "AgeDB: The First Manually Collected, In-the-Wild Age Database", "year": "2017", "pdf": ["http://eprints.mdx.ac.uk/22044/1/agedb_kotsia.pdf", "http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf", "https://ibug.doc.ic.ac.uk/media/uploads/documents/agedb.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014984", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.250", "http://doi.org/10.1109/CVPRW.2017.250"]}, {"id": "9c63c2210b5dde771ec8751cebc4281e74034fb0", "title": "CNN for IMU assisted odometry estimation using velodyne LiDAR", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.06352.pdf"], "doi": []}, {"id": "c9c2de3628be7e249722b12911bebad84b567ce6", "title": "Age and gender recognition in the wild with deep attention", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.06.028"]}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "cca476114c48871d05537abb303061de5ab010d6", "title": "A compact deep convolutional neural network architecture for video based age and gender estimation", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7733330", "http://doi.org/10.15439/2016F472"]}, {"id": "ec0104286c96707f57df26b4f0a4f49b774c486b", "title": "An Ensemble CNN2ELM for Age Estimation", "year": "2018", "pdf": ["http://www.cs.newpaltz.edu/~lik/publications/Mingxing-Duan-IEEE-TIFS-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8082561", "http://doi.org/10.1109/TIFS.2017.2766583"]}, {"id": "ca7ea4e39ed4ab53394197cf5761be734c7b61fa", "title": "CAAE++: Improved CAAE for Age Progression/Regression", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8528393"]}, {"id": "775c15a5dfca426d53c634668e58dd5d3314ea89", "title": "Image Quality-aware Deep Networks Ensemble for Efficient Gender Recognition in the Wild", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/775c/15a5dfca426d53c634668e58dd5d3314ea89.pdf"], "doi": []}, {"id": "e4e1787c34e0bdbfce4c27de1baafeb9c66c7bab", "title": "Face Aging with Identity-Preserved Conditional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578926"]}, {"id": "81e628a23e434762b1208045919af48dceb6c4d2", "title": "Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07320.pdf"], "doi": []}, {"id": "9e1b0f50417867317a8cb8fe35c6b2617ad9641e", "title": "Diversity in Faces", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.10436.pdf"], "doi": []}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "b8e5800dfc590f82a0f7eedefce9abebf8088d12", "title": "How to Train Your Neural Network with Dictionary Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7923743", "http://doi.org/10.1109/DCC.2017.87"]}, {"id": "a2344004f0e1409c0c9473d071a5cfd74bff0a5d", "title": "Learnable PINs: Cross-modal Embeddings for Person Identity", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.00833.pdf"], "doi": []}, {"id": "377c6563f97e76a4dc836a0bd23d7673492b1aae", "title": "Motion deblurring of faces", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.03330.pdf"], "doi": []}, {"id": "5366573e96a1dadfcd4fd592f83017e378a0e185", "title": "Server, server in the cloud. Who is the fairest in the crowd?", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08801.pdf"], "doi": []}, {"id": "af6e351d58dba0962d6eb1baf4c9a776eb73533f", "title": "How to Train Your Deep Neural Network with Dictionary Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.07454.pdf"], "doi": []}, {"id": "0ab7cff2ccda7269b73ff6efd9d37e1318f7db25", "title": "Facial Coding Scheme Reference 1 Craniofacial Distances", "year": "2019", "pdf": [], "doi": []}, {"id": "99f43e5f8f4348c04e97590ec173d61d2be1882d", "title": "Small Sample Deep Learning for Newborn Gestational Age Estimation", "year": "2017", "pdf": ["http://eprints.nottingham.ac.uk/40828/1/automatic-gestational-age.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961726", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.19", "http://doi.org/10.1109/FG.2017.19"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "c62c07de196e95eaaf614fb150a4fa4ce49588b4", "title": "SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c62c/07de196e95eaaf614fb150a4fa4ce49588b4.pdf"], "doi": []}, {"id": "633c851ebf625ad7abdda2324e9de093cf623141", "title": "Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961727"]}, {"id": "d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9", "title": "Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7956439"]}, {"id": "bcd679f5d4ff8c85fddf7f4aff430dbfaa801e15", "title": "XBadges. Identifying and training soft skills with commercial video games. Improving persistence, risk taking & spatial reasoning with commercial video games and facial and emotional recognition system", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.00863.pdf"], "doi": []}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}, {"id": "8e0becfc5fe3ecdd2ac93fabe34634827b21ef2b", "title": "Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.10520.pdf"], "doi": []}, {"id": "a398fcb30b49bee32d8f2c4cd3939517cd262025", "title": "Generative Adversarial Style Transfer Networks for Face Aging", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w41/Palsson_Generative_Adversarial_Style_CVPR_2018_paper.pdf", "http://www.vision.ee.ethz.ch/~aeirikur/generative-adversarial-style.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Palsson-CVPRW-2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575452", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00282", "http://doi.org/10.1109/CVPRW.2018.00282"]}, {"id": "efb56e7488148d52d3b8a2dae9f8880b273f4226", "title": "Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.07718.pdf"], "doi": []}, {"id": "02e17f547dd75eee7282af1b5ad2626829615ac9", "title": "Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10118.pdf"], "doi": []}, {"id": "ca50e441e275a3c04299bb6b59f6c098abecec1d", "title": "Face Recognition and Age Estimation Implications of Changes in Facial Features: A Critical Review Study", "year": "2018", "pdf": ["https://umexpert.um.edu.my/file/publication/00005433_161555_73291.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8361072", "http://doi.org/10.1109/ACCESS.2018.2836924"]}, {"id": "daa120032d8f141bc6aae20e23b1b754a0dd7d5f", "title": "Kernel ELM and CNN Based Facial Age Estimation", "year": "2016", "pdf": ["http://www.cv-foundation.org/openaccess/content_cvpr_2016_workshops/w18/papers/Gurpinar_Kernel_ELM_and_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7789593", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.103", "http://doi.org/10.1109/CVPRW.2016.103"]}, {"id": "f839ae810338e3b12c8e2f8db6ce4d725738d2d9", "title": "Learning CNNs for Face Recognition from Weakly Annotated Images", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961845", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.115", "http://doi.org/10.1109/FG.2017.115"]}, {"id": "f60070d3a4d333aa1436e4c372b1feb5b316a7ba", "title": "Face Recognition via Centralized Coordinate Learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.05678.pdf"], "doi": []}, {"id": "0435a34e93b8dda459de49b499dd71dbb478dc18", "title": "VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks", "year": "2018", "pdf": [], "doi": []}, {"id": "4c81c76f799c48c33bb63b9369d013f51eaf5ada", "title": "Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w26/papers/Kaya_Multi-Modal_Score_Fusion_CVPR_2017_paper.pdf", "https://www.cmpe.boun.edu.tr/~salah/kaya17chalearn.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014944", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.210", "http://doi.org/10.1109/CVPRW.2017.210"]}, {"id": "341ed69a6e5d7a89ff897c72c1456f50cfb23c96", "title": "DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04280.pdf"], "doi": []}, {"id": "ac2e3a889fc46ca72f9a2cdedbdd6f3d4e9e2627", "title": "Age detection from a single image using multitask neural networks : An overview and design proposal", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac2e/3a889fc46ca72f9a2cdedbdd6f3d4e9e2627.pdf"], "doi": []}, {"id": "d6c8f5674030cf3f5a2f7cc929bad37a422b26a0", "title": "Face Aging Simulation with Deep Convolutional Generative Adversarial Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8337371"]}, {"id": "5e39deb4bff7b887c8f3a44dfe1352fbcde8a0bd", "title": "Supervised COSMOS Autoencoder: Learning Beyond the Euclidean Loss!", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.06221.pdf"], "doi": []}, {"id": "f46a526c423dd09a3f14f2c9a3838fb4f56fa730", "title": "Anchored Regression Networks Applied to Age Estimation and Super Resolution", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Agustsson_Anchored_Regression_Networks_ICCV_2017_paper.pdf", "http://www.vision.ee.ethz.ch/~timofter/publications/Agustsson-ICCV-2017.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237444", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.182", "http://doi.org/10.1109/ICCV.2017.182"]}, {"id": "9755554b13103df634f9b1ef50a147dd02eab02f", "title": "How Transferable Are CNN-Based Features for Age and Gender Classification?", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.00134.pdf"], "doi": []}, {"id": "7cee802e083c5e1731ee50e731f23c9b12da7d36", "title": "2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.02181.pdf"], "doi": []}, {"id": "71c4b8e1bb25ee80f4317411ea8180dae6499524", "title": "Extended Features using Machine Learning Techniques for Photo Liking Prediction", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8463396", "http://doi.org/10.1109/QoMEX.2018.8463396"]}, {"id": "e5563a0d6a2312c614834dc784b5cc7594362bff", "title": "Real-Time Demographic Profiling from Face Imagery with Fisher Vectors", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e556/3a0d6a2312c614834dc784b5cc7594362bff.pdf"], "doi": []}, {"id": "59b6e9320a4e1de9216c6fc49b4b0309211b17e8", "title": "Robust Representations for unconstrained Face Recognition and its Applications", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/59b6/e9320a4e1de9216c6fc49b4b0309211b17e8.pdf"], "doi": []}, {"id": "ac12ba5bf81de83991210b4cd95b4ad048317681", "title": "Combining Deep Facial and Ambient Features for First Impression Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac12/ba5bf81de83991210b4cd95b4ad048317681.pdf"], "doi": []}, {"id": "6cefb70f4668ee6c0bf0c18ea36fd49dd60e8365", "title": "Privacy-Preserving Deep Inference for Rich User Data on The Cloud", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.01727.pdf"], "doi": []}, {"id": "0e3840ea3227851aaf4633133dd3cbf9bbe89e5b", "title": "ChaLearn Looking at People: Events and Resources", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0e38/40ea3227851aaf4633133dd3cbf9bbe89e5b.pdf"], "doi": []}, {"id": "a7664247a37a89c74d0e1a1606a99119cffc41d4", "title": "Modal Consistency based Pre-Trained Multi-Model Reuse", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a766/4247a37a89c74d0e1a1606a99119cffc41d4.pdf"], "doi": []}, {"id": "93e962f8886eae13b02ad2aa98bdedfbd7e68709", "title": "Dual Conditional GANs for Face Aging and Rejuvenation", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/93e9/62f8886eae13b02ad2aa98bdedfbd7e68709.pdf"], "doi": []}]} \ No newline at end of file