From ee3d0d98e19f1d8177d85af1866fd0ee431fe9ea Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Sun, 25 Nov 2018 22:19:15 +0100 Subject: moving stuff --- reports/doi_institutions_unattributed.csv | 406 ------------------------------ 1 file changed, 406 deletions(-) delete mode 100644 reports/doi_institutions_unattributed.csv (limited to 'reports/doi_institutions_unattributed.csv') diff --git a/reports/doi_institutions_unattributed.csv b/reports/doi_institutions_unattributed.csv deleted file mode 100644 index bf5d6ea8..00000000 --- a/reports/doi_institutions_unattributed.csv +++ /dev/null @@ -1,406 +0,0 @@ -6196f4be3b28684f6528b8687adccbdf9ac5c67c,Recommending Outfits from Personal Closet -61971f8e6fff5b35faed610d02ad14ccfc186c70,Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks -0d90c992dd08bfb06df50ab5c5c77ce83061e830,An Automatic Face Annotation System Featuring High Accuracy for Online Social Networks 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Consensus Optimization -88e2efab01e883e037a416c63a03075d66625c26,Convolutional Experts Constrained Local Model for 3D Facial Landmark Detection -9fab78015e6e91ba7241a923222acd6c576c6e27,Clothes Advertising by Targeting Principal Actors in Video -9f62ac43a1086c22b9a3d9f192c975d1a5a4b31f,Lighting Analysis and Texture Modification of 3D Human Face Scans -6baaa8b763cc5553715766e7fbe7abb235fae33c,Facial Attributes Classification Using Multi-task Representation Learning -6b99cd366f2ea8e1c9abadf73b05388c0e24fec3,Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals -6b8329730b2e13178a577b878631735a1cd58a71,A Real-Time Big Data Architecture for Glasses Detection Using Computer Vision Techniques -070c8ee3876c06f9a65693e536d61097ace40417,How Do Facial Expressions Contribute to Age Prediction? -0733ec1953f6c774eb3a723618e1268586b46359,Recognition of facial expressions and measurement of levels of interest from video -3826e47f0572ab4d0fe34f0ed6a49aa8303e0428,Joint Alignment and Clustering via Low-Rank Representation -3827f1cab643a57e3cd22fbffbf19dd5e8a298a8,One-Shot Face Recognition via Generative Learning -6e38011e38a1c893b90a48e8f8eae0e22d2008e8,A Computer Vision Based Approach for Understanding Emotional Involvements in Children with Autism Spectrum Disorders -9aab33ce8d6786b3b77900a9b25f5f4577cea461,Automatic Semantic Face Recognition -09f9409430bba2afb84aa8214dbbb43bfd4cf056,Uncertainty Estimation Using Fuzzy Measures for Multiclass Classification -09138ad5ad1aeef381f825481d1b4f6b345c438c,Low-resolution Face Recognition with Variable Illumination Based on Differential Images -098363b29eef1471c494382338687f2fe98f6e15,Metadata-Based Feature Aggregation Network for Face Recognition -5ddfd3d372f7679518db8fd763d5f8bc5899ed67,"Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition" -31ba7f5e09a2f0fe9cf7ea95314723206dcb6059,UHDB31: A Dataset for Better Understanding Face Recognition Across 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Learning With Null Space Analysis -c535d4d61aa0f1d8aadb4082bdcc19f4cbdf0eaf,Unsupervised Action Discovery and Localization in Videos -c26b43c2e1e2da96e7caabd46e1d7314acac0992,Facial Expression Recognition Using Facial Landmarks and Random Forest Classifier -c2bd9322fa2d0a00fc62075cc0f1996fc75d42a8,Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition -f61829274cfe64b94361e54351f01a0376cd1253,Regressing a 3D Face Shape from a Single Image -f65b47093e4d45013f54c3ba09bbcce7140af6bb,Multiple Anthropological Fisher Kernel Framework and Its Application to Kinship Verification -f6511d8156058737ec5354c66ef6fdcf035d714d,Response Surface Learning for Face Misalignment Correction -e9d77a85bc2fa672cc1bd10258c896c8d89b41e8,On the Theoretical and Computational Analysis between SDA and Lap-LDA -e94168c35be1d4b4d2aaf42ef892e64a3874ed8c,Two-Dimensional Maximum Margin Feature Extraction for Face Recognition -e98551055bdcf8e25e07f4ffdbf39d0a4a57bffc,Model Semantic Relations with Extended Attributes -f1ae9f5338fcff577b1ae9becdb66007fe57bd45,Deep Sequential Context Networks for Action Prediction -f1280f76933ba8b7f4a6b8662580504f02bb4ab6,Gender Classification by Deep Learning on Millions of Weakly Labelled Images -e7144f5c19848e037bb96e225d1cfd961f82bd9f,Heterogeneous Face Recognition: Recent Advances in Infrared-to-Visible Matching -e73b1137099368dd7909d203b80c3d5164885e44,Facial Action Units Recognition Based on Fuzzy Kernel Clustering -e79bacc03152ea55343e6af97bcd17d8904cf5ef,Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition -cba090a5bfae7dd8a60a973259f0870ed68c4dd3,Human Action Classification Using Temporal Slicing for Deep Convolutional Neural Networks -cbe021d840f9fc1cb191cba79d3f7e3bbcda78d3,Facial Landmark Detection via Progressive Initialization -cb4d8cef8cec9406b1121180d47c14dfef373882,Makeup-Invariant Face Recognition by 3D Face: Modeling and Dual-Tree Complex Wavelet Transform from Women's 2D Real-World Images 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