Papers
Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors
Zheyuan Zhang, Weihao Tang, Hong Chen
Rethinking Layered Graphic Design Generation with a Top-Down Approach
Jingye Chen, Zhaowen Wang, Nanxuan Zhao et al.
Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning
Tianyi Zhao, Boyang Liu, Yanglei Gao et al.
Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities
Liuyi Wang, Xinyuan Xia, Hui Zhao et al.
Rethinking the Upsampling Process in Light Field Super-Resolution with Spatial-Epipolar Implicit Image Function
Ruixuan Cong, Yu Wang, Mingyuan Zhao et al.
Rethink Sparse Signals for Pose-guided Text-to-image Generation
Wenjie Xuan, Jing Zhang, Juhua Liu et al.
RetinexMCNet: A Memory Controller Dominated Network for Low-Light Video Enhancement Based on Retinex
Meiao Wang, Xuejing Kang, Yaxi Lu et al.
Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusion
Haowen Bai, Jiangshe Zhang, Zixiang Zhao et al.
ReTracker: Exploring Image Matching for Robust Online Any Point Tracking
Dongli Tan, Xingyi He, Sida Peng et al.
Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets
Dale Decatur, Thibault Groueix, Wang Yifan et al.
Revelio: Interpreting and leveraging semantic information in diffusion models
Dahye Kim, Xavier Thomas, Deepti Ghadiyaram
Reverse Convolution and Its Applications to Image Restoration
Xuhong Huang, Shiqi Liu, Kai Zhang et al.
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
Junhao Zheng, Jiahao Sun, Chenhao Lin et al.
Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment
Shi-Chen Zhang, Yunheng Li, Yu-Huan Wu et al.
Revisiting Image Fusion for Multi-Illuminant White-Balance Correction
David Serrano-Lozano, Aditya Arora, Luis Herranz et al.
Revisiting Point Cloud Completion: Are We Ready For The Real-World?
Stuti Pathak, Prashant Kumar, Dheeraj Baiju et al.
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
Yongwei Jiang, Yixiong Zou, Yuhua Li et al.
RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors
Sicong Du, Jiarun Liu, Qifeng Chen et al.
RhythmGuassian: Repurposing Generalizable Gaussian Model For Remote Physiological Measurement
Hao Lu, Yuting Zhang, Jiaqi Tang et al.
RI3D: Few-Shot Gaussian Splatting With Repair and Inpainting Diffusion Priors
Avinash Paliwal, Xilong Zhou, Wei Ye et al.
Riemannian-Geometric Fingerprints of Generative Models
Hae Jin Song, Laurent Itti
RIOcc: Efficient Cross-Modal Fusion Transformer with Collaborative Feature Refinement for 3D Semantic Occupancy Prediction
Baojie Fan, Xiaotian Li, Yuhan Zhou et al.
RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction
Johannes Künzel, Anna Hilsmann, Peter Eisert
R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception
Jonas Mirlach, Lei Wan, Andreas Wiedholz et al.