Papers
RepAn: Enhanced Annealing through Re-parameterization
Xiang Fei, Xiawu Zheng, Yan Wang et al.
RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation
Yi Rong, Haoran Zhou, Kang Xia et al.
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang et al.
RepViT: Revisiting Mobile CNN From ViT Perspective
Ao Wang, Hui Chen, Zijia Lin et al.
Residual Denoising Diffusion Models
Jiawei Liu, Qiang Wang, Huijie Fan et al.
Residual Learning in Diffusion Models
Junyu Zhang, Daochang Liu, Eunbyung Park et al.
Resolution Limit of Single-Photon LiDAR
Stanley H. Chan, Hashan K. Weerasooriya, Weijian Zhang et al.
Resource-Efficient Transformer Pruning for Finetuning of Large Models
Fatih Ilhan, Gong Su, Selim Furkan Tekin et al.
Restoration by Generation with Constrained Priors
Zheng Ding, Xuaner Zhang, Zhuowen Tu et al.
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu et al.
Rethinking Boundary Discontinuity Problem for Oriented Object Detection
Hang Xu, Xinyuan Liu, Haonan Xu et al.
Re-thinking Data Availability Attacks Against Deep Neural Networks
Bin Fang, Bo Li, Shuang Wu et al.
Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
Guangyuan Li, Chen Rao, Juncheng Mo et al.
Rethinking Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An, Guolei Sun, Yun Liu et al.
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit et al.
Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space
Chengyang Hu, Ke-Yue Zhang, Taiping Yao et al.
Rethinking Human Motion Prediction with Symplectic Integral
Haipeng Chen, Kedi Lyu, Zhenguang Liu et al.
Rethinking Inductive Biases for Surface Normal Estimation
Gwangbin Bae, Andrew J. Davison
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts
Qin Liu, Jaemin Cho, Mohit Bansal et al.
Rethinking Multi-domain Generalization with A General Learning Objective
Zhaorui Tan, Xi Yang, Kaizhu Huang
Rethinking Multi-view Representation Learning via Distilled Disentangling
Guanzhou Ke, Bo Wang, Xiaoli Wang et al.
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
Jin Wang, Bingfeng Zhang, Jian Pang et al.
Rethinking the Evaluation Protocol of Domain Generalization
Han Yu, Xingxuan Zhang, Renzhe Xu et al.
Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
Yuchao Gu, Xintao Wang, Yixiao Ge et al.