Papers
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation
Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang
Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification
Tong Xiao, Hongsheng Li, Wanli Ouyang et al.
Learning Deep Features for Discriminative Localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza et al.
Learning Deep Representation for Imbalanced Classification
Chen Huang, Yining Li, Chen Change Loy et al.
Learning Deep Representations of Fine-Grained Visual Descriptions
Scott Reed, Zeynep Akata, Honglak Lee et al.
Learning Deep Structure-Preserving Image-Text Embeddings
Liwei Wang, Yin Li, Svetlana Lazebnik
Learning Dense Correspondence via 3D-Guided Cycle Consistency
Tinghui Zhou, Philipp Krahenbuhl, Mathieu Aubry et al.
Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning
Viktoriia Sharmanska, Novi Quadrianto
Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
Vijay Kumar B G, Gustavo Carneiro, Ian Reid
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam, Bohyung Han
Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees
Jianhui Chen, Hoang M. Le, Peter Carr et al.
Learning Reconstruction-Based Remote Gaze Estimation
Pei Yu, Jiahuan Zhou, Ying Wu
Learning Relaxed Deep Supervision for Better Edge Detection
Yu Liu, Michael S. Lew
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
Varun Jampani, Martin Kiefel, Peter V. Gehler
Learning Structured Inference Neural Networks With Label Relations
Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng et al.
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann et al.
Learning to Assign Orientations to Feature Points
Kwang Moo Yi, Yannick Verdie, Pascal Fua et al.
Learning to Co-Generate Object Proposals With a Deep Structured Network
Zeeshan Hayder, Xuming He, Mathieu Salzmann
Learning to Localize Little Landmarks
Saurabh Singh, Derek Hoiem, David Forsyth
Learning to Match Aerial Images With Deep Attentive Architectures
Hani Altwaijry, Eduard Trulls, James Hays et al.
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Hoo-Chang Shin, Kirk Roberts, Le Lu et al.
Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework
Yong-Deok Kim, Taewoong Jang, Bohyung Han et al.
Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network
Seunghoon Hong, Junhyuk Oh, Honglak Lee et al.
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification
Chunyuan Li, Andrew Stevens, Changyou Chen et al.
Learning With Side Information Through Modality Hallucination
Judy Hoffman, Saurabh Gupta, Trevor Darrell