Papers
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
Tianfei Zhou, Meijie Zhang, Fang Zhao et al.
Region-Aware Face Swapping
Chao Xu, Jiangning Zhang, Miao Hua et al.
RegionCLIP: Region-Based Language-Image Pretraining
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang et al.
Registering Explicit to Implicit: Towards High-Fidelity Garment Mesh Reconstruction From Single Images
Heming Zhu, Lingteng Qiu, Yuda Qiu et al.
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall et al.
REGTR: End-to-End Point Cloud Correspondences With Transformers
Zi Jian Yew, Gim Hee Lee
Reinforced Structured State-Evolution for Vision-Language Navigation
Jinyu Chen, Chen Gao, Erli Meng et al.
Relative Pose From a Calibrated and an Uncalibrated Smartphone Image
Yaqing Ding, Daniel Barath, Jian Yang et al.
Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance
Yin-Yin He, Peizhen Zhang, Xiu-Shen Wei et al.
RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition
Jun Chen, Aniket Agarwal, Sherif Abdelkarim et al.
Remember Intentions: Retrospective-Memory-Based Trajectory Prediction
Chenxin Xu, Weibo Mao, Wenjun Zhang et al.
Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer
Wenjian Wang, Lijuan Duan, Yuxi Wang et al.
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan et al.
RePaint: Inpainting Using Denoising Diffusion Probabilistic Models
Andreas Lugmayr, Martin Danelljan, Andres Romero et al.
Replacing Labeled Real-Image Datasets With Auto-Generated Contours
Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada et al.
RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality
Xiaohan Ding, Honghao Chen, Xiangyu Zhang et al.
Rep-Net: Efficient On-Device Learning via Feature Reprogramming
Li Yang, Adnan Siraj Rakin, Deliang Fan
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu et al.
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.