Papers
8,506 papers found
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.
Learning Shape, Motion and Elastic Models in Force Space
Antonio Agudo, Francesc Moreno-Noguer
Learning Social Relation Traits From Face Images
Zhanpeng Zhang, Ping Luo, Chen-Change Loy et al.
Learning Spatially Regularized Correlation Filters for Visual Tracking
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan et al.
Learning Spatiotemporal Features With 3D Convolutional Networks
Du Tran, Lubomir Bourdev, Rob Fergus et al.
Learning Temporal Embeddings for Complex Video Analysis
Vignesh Ramanathan, Kevin Tang, Greg Mori et al.
Learning The Structure of Deep Convolutional Networks
Jiashi Feng, Trevor Darrell
Learning to Boost Filamentary Structure Segmentation
Lin Gu, Li Cheng
Learning to Combine Mid-Level Cues for Object Proposal Generation
Tom Lee, Sanja Fidler, Sven Dickinson
Learning to Divide and Conquer for Online Multi-Target Tracking
Francesco Solera, Simone Calderara, Rita Cucchiara
Learning to Predict Saliency on Face Images
Mai Xu, Yun Ren, Zulin Wang
Learning to Rank Based on Subsequences
Basura Fernando, Efstratios Gavves, Damien Muselet et al.
Learning to See by Moving
Pulkit Agrawal, Joao Carreira, Jitendra Malik