CVPR Papers
5,589 papers found • Page 98 of 112
Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling
Ziwen Li, Feng Zhang, Meng Cao et al.
Real-Time Neural BRDF with Spherically Distributed Primitives
Yishun Dou, Zhong Zheng, Qiaoqiao Jin et al.
Real-Time Simulated Avatar from Head-Mounted Sensors
Zhengyi Luo, Jinkun Cao, Rawal Khirodkar et al.
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
Insoo Kim, Jae Seok Choi, Geonseok Seo et al.
Real-World Mobile Image Denoising Dataset with Efficient Baselines
Roman Flepp, Andrey Ignatov, Radu Timofte et al.
RecDiffusion: Rectangling for Image Stitching with Diffusion Models
Tianhao Zhou, Li Haipeng, Ziyi Wang et al.
ReconFusion: 3D Reconstruction with Diffusion Priors
Rundi Wu, Ben Mildenhall, Philipp Henzler et al.
Reconstructing Hands in 3D with Transformers
Georgios Pavlakos, Dandan Shan, Ilija Radosavovic et al.
Reconstruction-free Cascaded Adaptive Compressive Sensing
Chenxi Qiu, Tao Yue, Xuemei Hu
ReCoRe: Regularized Contrastive Representation Learning of World Model
Rudra P, K. Poudel, Harit Pandya et al.
Referring Expression Counting
Siyang Dai, Jun Liu, Ngai-Man Cheung
Referring Image Editing: Object-level Image Editing via Referring Expressions
Chang Liu, Xiangtai Li, Henghui Ding
ReGenNet: Towards Human Action-Reaction Synthesis
Liang Xu, Yizhou Zhou, Yichao Yan et al.
Region-Based Representations Revisited
Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao et al.
RegionGPT: Towards Region Understanding Vision Language Model
Qiushan Guo, Shalini De Mello, Danny Yin et al.
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Jihan Yang, Runyu Ding, Weipeng DENG et al.
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
Yifu Ding, Weilun Feng, Chuyan Chen et al.
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
Mingyue Guo, Li Yuan, Zhaoyi Yan et al.
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
Pehuen Moure, Longbiao Cheng, Joachim Ott et al.
Relational Matching for Weakly Semi-Supervised Oriented Object Detection
Wenhao Wu, Hau San Wong, Si Wu et al.
Relation Rectification in Diffusion Model
Yinwei Wu, Xingyi Yang, Xinchao Wang
Relaxed Contrastive Learning for Federated Learning
Seonguk Seo, Jinkyu Kim, Geeho Kim et al.
RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
Ming Yan, Yan Zhang, Shuqiang Cai et al.
Relightable and Animatable Neural Avatar from Sparse-View Video
Zhen Xu, Sida Peng, Chen Geng et al.
Relightable Gaussian Codec Avatars
Shunsuke Saito, Gabriel Schwartz, Tomas Simon et al.
Relightful Harmonization: Lighting-aware Portrait Background Replacement
Mengwei Ren, Wei Xiong, Jae Shin Yoon et al.
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 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 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, 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 L yu, 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, Xiao-Li 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.