Papers
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
Thibaut Durand, Nazanin Mehrasa, Greg Mori
Learning Attraction Field Representation for Robust Line Segment Detection
Nan Xue, Song Bai, Fudong Wang et al.
Learning a Unified Classifier Incrementally via Rebalancing
Saihui Hou, Xinyu Pan, Chen Change Loy et al.
Learning-Based Sampling for Natural Image Matting
Jingwei Tang, Yagiz Aksoy, Cengiz Oztireli et al.
Learning Binary Code for Personalized Fashion Recommendation
Zhi Lu, Yang Hu, Yunchao Jiang et al.
Learning Channel-Wise Interactions for Binary Convolutional Neural Networks
Ziwei Wang, Jiwen Lu, Chenxin Tao et al.
Learning Context Graph for Person Search
Yichao Yan, Qiang Zhang, Bingbing Ni et al.
Learning Correspondence From the Cycle-Consistency of Time
Xiaolong Wang, Allan Jabri, Alexei A. Efros
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images
Hao Wang, Doyen Sahoo, Chenghao Liu et al.
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
Seonguk Seo, Paul Hongsuck Seo, Bohyung Han
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan et al.
Learning From Synthetic Data for Crowd Counting in the Wild
Qi Wang, Junyu Gao, Wei Lin et al.
Learning Image and Video Compression Through Spatial-Temporal Energy Compaction
Zhengxue Cheng, Heming Sun, Masaru Takeuchi et al.
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen, Hao Zhang
Learning Independent Object Motion From Unlabelled Stereoscopic Videos
Zhe Cao, Abhishek Kar, Christian Hane et al.
Learning Individual Styles of Conversational Gesture
Shiry Ginosar, Amir Bar, Gefen Kohavi et al.
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation
Yi Zhu, Yanzhao Zhou, Huijuan Xu et al.
Learning Joint Gait Representation via Quintuplet Loss Minimization
Kaihao Zhang, Wenhan Luo, Lin Ma et al.
Learning Joint Reconstruction of Hands and Manipulated Objects
Yana Hasson, Gul Varol, Dimitrios Tzionas et al.
Learning Linear Transformations for Fast Image and Video Style Transfer
Xueting Li, Sifei Liu, Jan Kautz et al.
Learning Loss for Active Learning
Donggeun Yoo, In So Kweon
Learning Metrics From Teachers: Compact Networks for Image Embedding
Lu Yu, Vacit Oguz Yazici, Xialei Liu et al.
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
Fabio Tosi, Filippo Aleotti, Matteo Poggi et al.
Learning Multi-Class Segmentations From Single-Class Datasets
Konstantin Dmitriev, Arie E. Kaufman
Learning Non-Volumetric Depth Fusion Using Successive Reprojections
Simon Donne, Andreas Geiger