Papers
kNN Hashing With Factorized Neighborhood Representation
Kun Ding, Chunlei Huo, Bin Fan et al.
Large Displacement 3D Scene Flow With Occlusion Reasoning
Andrei Zanfir, Cristian Sminchisescu
Learning a Descriptor-Specific 3D Keypoint Detector
Samuele Salti, Federico Tombari, Riccardo Spezialetti et al.
Learning a Discriminative Model for the Perception of Realism in Composite Images
Jun-Yan Zhu, Philipp Krahenbuhl, Eli Shechtman et al.
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull, Eric Brachmann, Frank Michel et al.
Learning Binary Codes for Maximum Inner Product Search
Fumin Shen, Wei Liu, Shaoting Zhang et al.
Learning Common Sense Through Visual Abstraction
Ramakrishna Vedantam, Xiao Lin, Tanmay Batra et al.
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Zhaowei Cai, Mohammad Saberian, Nuno Vasconcelos
Learning Concept Embeddings With Combined Human-Machine Expertise
Michael Wilber, Iljung S. Kwak, David Kriegman et al.
Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition
Tinghui Zhou, Philipp Krahenbuhl, Alexei A. Efros
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
Learning Deep Object Detectors From 3D Models
Xingchao Peng, Baochen Sun, Karim Ali et al.
Learning Deep Representation With Large-Scale Attributes
Wanli Ouyang, Hongyang Li, Xingyu Zeng et al.
Learning Discriminative Reconstructions for Unsupervised Outlier Removal
Yan Xia, Xudong Cao, Fang Wen et al.
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables
Hossein Hajimirsadeghi, Greg Mori
Learning Image and User Features for Recommendation in Social Networks
Xue Geng, Hanwang Zhang, Jingwen Bian et al.
Learning Image Representations Tied to Ego-Motion
Dinesh Jayaraman, Kristen Grauman
Learning Informative Edge Maps for Indoor Scene Layout Prediction
Arun Mallya, Svetlana Lazebnik
Learning Large-Scale Automatic Image Colorization
Aditya Deshpande, Jason Rock, David Forsyth
Learning Like a Child: Fast Novel Visual Concept Learning From Sentence Descriptions of Images
Junhua Mao, Xu Wei, Yi Yang et al.
Learning Nonlinear Spectral Filters for Color Image Reconstruction
Michael Moeller, Julia Diebold, Guy Gilboa et al.
Learning Ordinal Relationships for Mid-Level Vision
Daniel Zoran, Phillip Isola, Dilip Krishnan et al.
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding
Yongbo Li, Weisheng Dong, Guangming Shi et al.
Learning Query and Image Similarities With Ranking Canonical Correlation Analysis
Ting Yao, Tao Mei, Chong-Wah Ngo
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning
Chun-Guang Li, Zhouchen Lin, Honggang Zhang et al.