Papers
Regularizing Activation Distribution for Training Binarized Deep Networks
Ruizhou Ding, Ting-Wu Chin, Zeye Liu et al.
Re-Identification Supervised Texture Generation
Jian Wang, Yunshan Zhong, Yachun Li et al.
Re-Identification With Consistent Attentive Siamese Networks
Meng Zheng, Srikrishna Karanam, Ziyan Wu et al.
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Xin Wang, Qiuyuan Huang, Asli Celikyilmaz et al.
Relational Action Forecasting
Chen Sun, Abhinav Shrivastava, Carl Vondrick et al.
Relational Knowledge Distillation
Wonpyo Park, Dongju Kim, Yan Lu et al.
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu, Bin Fan, Shiming Xiang et al.
Reliable and Efficient Image Cropping: A Grid Anchor Based Approach
Hui Zeng, Lida Li, Zisheng Cao et al.
RENAS: Reinforced Evolutionary Neural Architecture Search
Yukang Chen, Gaofeng Meng, Qian Zhang et al.
REPAIR: Removing Representation Bias by Dataset Resampling
Yi Li, Nuno Vasconcelos
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
Leonid Karlinsky, Joseph Shtok, Sivan Harary et al.
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
Bastian Wandt, Bodo Rosenhahn
Representation Flow for Action Recognition
AJ Piergiovanni, Michael S. Ryoo
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning
Kshitij Dwivedi, Gemma Roig
RePr: Improved Training of Convolutional Filters
Aaditya Prakash, James Storer, Dinei Florencio et al.
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification
Song Bai, Peng Tang, Philip H.S. Torr et al.
Residual Networks for Light Field Image Super-Resolution
Shuo Zhang, Youfang Lin, Hao Sheng
Residual Regression With Semantic Prior for Crowd Counting
Jia Wan, Wenhan Luo, Baoyuan Wu et al.
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices
Chong Peng, Chenglizhao Chen, Zhao Kang et al.
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang et al.
Rethinking the Evaluation of Video Summaries
Mayu Otani, Yuta Nakashima, Esa Rahtu et al.
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples
Jake Zhao (Junbo), Kyunghyun Cho
Revealing Scenes by Inverting Structure From Motion Reconstructions
Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang et al.
Reversible GANs for Memory-Efficient Image-To-Image Translation
Tycho F.A. van der Ouderaa, Daniel E. Worrall
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning
Wenbin Li, Lei Wang, Jinglin Xu et al.