Papers
Learning Deep Match Kernels for Image-Set Classification
Haoliang Sun, Xiantong Zhen, Yuanjie Zheng et al.
Learning Detailed Face Reconstruction From a Single Image
Elad Richardson, Matan Sela, Roy Or-El et al.
Learning Detection With Diverse Proposals
Samaneh Azadi, Jiashi Feng, Trevor Darrell
Learning Discriminative and Transformation Covariant Local Feature Detectors
Xu Zhang, Felix X. Yu, Svebor Karaman et al.
Learning Diverse Image Colorization
Aditya Deshpande, Jiajun Lu, Mao-Chuang Yeh et al.
Learning Dynamic Guidance for Depth Image Enhancement
Shuhang Gu, Wangmeng Zuo, Shi Guo et al.
Learning Features by Watching Objects Move
Deepak Pathak, Ross Girshick, Piotr Dollar et al.
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik et al.
Learning From Simulated and Unsupervised Images Through Adversarial Training
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel et al.
Learning From Synthetic Humans
Gul Varol, Javier Romero, Xavier Martin et al.
Learning Fully Convolutional Networks for Iterative Non-Blind Deconvolution
Jiawei Zhang, Jinshan Pan, Wei-Sheng Lai et al.
Learning Motion Patterns in Videos
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
Haomiao Liu, Ruiping Wang, Shiguang Shan et al.
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories
Jian Shi, Yue Dong, Hao Su et al.
Learning Non-Maximum Suppression
Jan Hosang, Rodrigo Benenson, Bernt Schiele
2017
CVPR
Learning Object Interactions and Descriptions for Semantic Image Segmentation
Guangrun Wang, Ping Luo, Liang Lin et al.
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
Paul Vernaza, Manmohan Chandraker
Learning Residual Images for Face Attribute Manipulation
Wei Shen, Rujie Liu
Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani, Hao Su, Leonidas J. Guibas et al.
Learning Spatial Regularization With Image-Level Supervisions for Multi-Label Image Classification
Feng Zhu, Hongsheng Li, Wanli Ouyang et al.
Learning the Multilinear Structure of Visual Data
Mengjiao Wang, Yannis Panagakis, Patrick Snape et al.
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization
Anil Armagan, Martin Hirzer, Peter M. Roth et al.
Learning to Detect Salient Objects With Image-Level Supervision
Lijun Wang, Huchuan Lu, Yifan Wang et al.
Learning to Extract Semantic Structure From Documents Using Multimodal Fully Convolutional Neural Networks
Xiao Yang, Ersin Yumer, Paul Asente et al.
Learning to Learn From Noisy Web Videos
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky et al.