CVPR Poster Papers
4,874 papers found • Page 86 of 98
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.
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.
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 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.
Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
Yuchao Gu, Xintao Wang, Yixiao Ge et al.
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
Xinting Liao, Weiming Liu, Chaochao Chen et al.
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
Dazhong Shen, Guanglu Song, Zeyue Xue et al.
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
Chuangchuang Tan, Huan Liu, Yao Zhao et al.
Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
Mubashir Noman, Muzammal Naseer, Hisham Cholakkal et al.
Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
Chen Tang, Yuan Meng, Jiacheng Jiang et al.
Retrieval-Augmented Egocentric Video Captioning
Jilan Xu, Yifei Huang, Junlin Hou et al.
Retrieval-Augmented Embodied Agents
Yichen Zhu, Zhicai Ou, Xiaofeng Mou et al.
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Daichi Horita, Naoto Inoue, Kotaro Kikuchi et al.
Retrieval-Augmented Open-Vocabulary Object Detection
Jooyeon Kim, Eulrang Cho, Sehyung Kim et al.
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space
Naveen Kumar Kummari, Reshmi Mitra, Krishna Mohan Chalavadi
Revisiting Adversarial Training at Scale
Zeyu Wang, Xianhang li, Hongru Zhu et al.
Revisiting Adversarial Training Under Long-Tailed Distributions
Xinli Yue, Ningping Mou, Qian Wang et al.
Revisiting Counterfactual Problems in Referring Expression Comprehension
Zhihan Yu, Ruifan Li
Revisiting Global Translation Estimation with Feature Tracks
Peilin Tao, Hainan Cui, Mengqi Rong et al.
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis
Zanlin Ni, Yulin Wang, Renping Zhou et al.
Revisiting Sampson Approximations for Geometric Estimation Problems
Felix Rydell, Angelica Torres, Viktor Larsson
Revisiting Single Image Reflection Removal In the Wild
Yurui Zhu, Bo Li, Xueyang Fu et al.
Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion
Jiangtong Tan, Jie Huang, Naishan Zheng et al.
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
Wenqiao Zhang, Zheqi Lv
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning
Jian Wang, Zhe Cao, Diogo Luvizon et al.
Rewrite the Stars
Xu Ma, Xiyang Dai, Yue Bai et al.
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
Hongchi Xia, Yang Fu, Sifei Liu et al.
Rich Human Feedback for Text-to-Image Generation
Youwei Liang, Junfeng He, Gang Li et al.
Riemannian Multinomial Logistics Regression for SPD Neural Networks
Ziheng Chen, Yue Song, Gaowen Liu et al.
RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation
Zeyuan Yang, LIU JIAGENG, Peihao Chen et al.
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
Tianyu Yu, Yuan Yao, Haoye Zhang et al.
RMem: Restricted Memory Banks Improve Video Object Segmentation
Junbao Zhou, Ziqi Pang, Yu-Xiong Wang
RMT: Retentive Networks Meet Vision Transformers
Qihang Fan, Huaibo Huang, Mingrui Chen et al.
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
Baptiste Brument, Robin Bruneau, Yvain Queau et al.
Robust Depth Enhancement via Polarization Prompt Fusion Tuning
Kei IKEMURA, Yiming Huang, Felix Heide et al.
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
Junhao Dong, Piotr Koniusz, Junxi Chen et al.