Papers
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting
Min Shi, Hao Lu, Chen Feng et al.
Representing 3D Shapes With Probabilistic Directed Distance Fields
Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven Dickinson et al.
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
Jingtao Li, Adnan Siraj Rakin, Xing Chen et al.
RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs
Zhouxia Wang, Jiawei Zhang, Runjian Chen et al.
Restormer: Efficient Transformer for High-Resolution Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan et al.
ReSTR: Convolution-Free Referring Image Segmentation Using Transformers
Namyup Kim, Dongwon Kim, Cuiling Lan et al.
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
Liangqiong Qu, Yuyin Zhou, Paul Pu Liang et al.
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation
Jianfeng Wang, Thomas Lukasiewicz
Rethinking Controllable Variational Autoencoders
Huajie Shao, Yifei Yang, Haohong Lin et al.
Rethinking Deep Face Restoration
Yang Zhao, Yu-Chuan Su, Chun-Te Chu et al.
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
Rui Peng, Rongjie Wang, Zhenyu Wang et al.
Rethinking Efficient Lane Detection via Curve Modeling
Zhengyang Feng, Shaohua Guo, Xin Tan et al.
Rethinking Image Cropping: Exploring Diverse Compositions From Global Views
Gengyun Jia, Huaibo Huang, Chaoyou Fu et al.
Rethinking Minimal Sufficient Representation in Contrastive Learning
Haoqing Wang, Xun Guo, Zhi-Hong Deng et al.
Rethinking Semantic Segmentation: A Prototype View
Tianfei Zhou, Wenguan Wang, Ender Konukoglu et al.
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng, Qi Dai, Hong Li et al.
Rethinking Visual Geo-Localization for Large-Scale Applications
Gabriele Berton, Carlo Masone, Barbara Caputo
Retrieval Augmented Classification for Long-Tail Visual Recognition
Alexander Long, Wei Yin, Thalaiyasingam Ajanthan et al.
Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis
Yupeng Shi, Xiao Liu, Yuxiang Wei et al.
Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation
Lin Chen, Huaian Chen, Zhixiang Wei et al.
Revealing Occlusions With 4D Neural Fields
Basile Van Hoorick, Purva Tendulkar, Dídac Surís et al.
Reversible Vision Transformers
Karttikeya Mangalam, Haoqi Fan, Yanghao Li et al.
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection
Dongli Xu, Jinhong Deng, Wen Li