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authorjules@lens <julescarbon@gmail.com>2019-05-28 18:04:35 +0200
committerjules@lens <julescarbon@gmail.com>2019-05-28 18:04:35 +0200
commitd8f96cea6ac2a5b6b0dbe603b4671489f4a1dd73 (patch)
treeafe9ff47cf62b699360e07c89f8f82c18667c50f /scraper/reports/doi_institutions_unattributed.csv
parentf9a1c5f6a631c24afee76f9449508622d57992fb (diff)
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@@ -218,6 +218,7 @@ d610513cb0d35ddd2a91ad428575411519c2ee5e,Indoor Trajectory Reconstruction Using
6a26016754371bfacc6fa2d116fe9d2efdafab5e,Application Codesign of Near-Data Processing for Similarity Search
6a8743973e24c39b33ff50e023447daecbd9f25c,Efficient Time Series Classification via Sparse Linear Combination
6a20f975eb253503bba46a421275d46cf74ee1b9,Context Embedding Networks
+6a0aaefce8a27a8727d896fa444ba27558b2d381,Relation Networks for Object Detection
6abdd7c4dea2d5d7ff82cd5e6e503be1589861df,Detection and Recognition of U.S. Warning Signs on Curves
193bc8b663d041bc34134a8407adc3e546daa9cc,A Quantitative Comparison of Methods for 3D Face Reconstruction from 2D Images
19075e854e29edce89a1cb39167eb1af06b86fe5,GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning
@@ -639,6 +640,7 @@ b8e5800dfc590f82a0f7eedefce9abebf8088d12,How to Train Your Neural Network with D
b839bc95794dc65340b6e5fea098fa6e6ea5e430,Soft Biometrics in Online Social Networks: A Case Study on Twitter User Gender Recognition
b8904f04f90c80ab3233daf1d8410bb7e5b391cb,PIXOR: Real-time 3D Object Detection from Point Clouds
b83964876faa536489b4c189fdeb1f9d50172862,Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning
+b80a7bbde2986a0b3474258ec2fad0a75813d89f,Context Learning Network for Object Detection
b803cdb3377fa3b6194932607f51f2d1fafbf964,Locality Preserving Embedding
b80757994fc0f784b88e60b37c055302274e2e07,DisITQ: A Distributed Iterative Quantization Hashing Learning Algorithm
b80f43b42b5320578d4c1e214fe1a8b6b45352ae,MSR-VTT: A Large Video Description Dataset for Bridging Video and Language
@@ -1663,6 +1665,7 @@ f783d93b983841804a9633a37dfbc624bf5d9bfb,Textbook Question Answering Under Instr
7b32f18a665162687059adc18f14a5196ea3ba2f,Relative Aesthetic Quality Ranking
826b086bc50b3ce694bb7cd0413c7db2c105973c,Genre and Style Based Painting Classification
82a73fb987d94d57e2004345137a212f3de9ab5b,Visual Voice Activity Detection Based on Motion Vectors of MPEG Encoded Video
+82b1ca78b2fc7ae0459f5d7c61a78822b8a590d2,Deep Semantic Instance Segmentation of Tree-Like Structures Using Synthetic Data
8294072ea75ae73ddb8d9b85481b9a878f3b87c7,Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation
82e1692467969940a6d6ac40eae606b8b4981f7e,How Many Frames Does Facial Expression Recognition Require?
82024c5f25c9d2efd4aad30a61b6e6bccecba00b,Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images
@@ -2273,6 +2276,7 @@ e5c67abf455acbd9a8b1dba53e163cb5bf3e96bd,"Mobile Social Big Data: WeChat Moments
6f99209b7b274e564e95622990ffc4becb3232ca,Analysis of Visual Attributes of Clothes on Dressing Images
6ff497677f27d3e45e4633550c1a0e5243b8fa3b,Structure Preserving Video Prediction
6f14be41a36eef88889fc6ad966eda4ec1c1c6dd,Deep Convolutional Neural Network for Facial Expression Recognition Using Facial Parts
+6f172b6635ad9e3d3e0ab65d931dcb354eb9ff73,Accurate Single Stage Detector Using Recurrent Rolling Convolution
6f77ff9990973a6cdad6b5b6022323bff9d03965,Action Recognition in Still Images Using Word Embeddings from Natural Language Descriptions
994cf026a1ee3e4b30dbd23f8bb554352bb00b02,"The Use of Dynamic Deformable Templates for Lip Tracking in an Audio-Visual Corpus with Large Variations in Head Pose, Face Illumination and Lip Shapes"
99f43e5f8f4348c04e97590ec173d61d2be1882d,Small Sample Deep Learning for Newborn Gestational Age Estimation
@@ -2435,6 +2439,7 @@ ea35d98dd074cee5042942804bd44a636f393d52,Behavior Recognition of a Person in a D
5d3ee3c16d073a99c9f0d42174b0c7d2f1f097e2,Face Recognition Based on Principle Component Analysis and Support Vector Machine
5ddfd3d372f7679518db8fd763d5f8bc5899ed67,"Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition"
5d31da6f19d69c8f83eb44c6f6586de930ee86ee,Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering
+5d49632f8c8cd06cd5ce66f007aa140f40c12c45,Bus-Crowdedness Estimation by Shallow Convolutional Neural Network
5da14895692fad7d1f403279faa743a657fa7ac4,Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking
5da29e393a92632633095ddd5e1b343bc5b11876,Deep Ordinal Regression Network for Monocular Depth Estimation
5d16ce0c66cd87dd48cb8c53f5b6a7ee73d33abb,Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters