Papers
Representing Volumetric Videos As Dynamic MLP Maps
Sida Peng, Yunzhi Yan, Qing Shuai et al.
Reproducible Scaling Laws for Contrastive Language-Image Learning
Mehdi Cherti, Romain Beaumont, Ross Wightman et al.
ResFormer: Scaling ViTs With Multi-Resolution Training
Rui Tian, Zuxuan Wu, Qi Dai et al.
Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging
Yubo Dong, Dahua Gao, Tian Qiu et al.
Resource-Efficient RGBD Aerial Tracking
Jinyu Yang, Shang Gao, Zhe Li et al.
Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator
Nakkwan Choi, Seungjae Lee, Yongsik Lee et al.
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment
Yiyou Sun, Yaojie Liu, Xiaoming Liu et al.
Rethinking Feature-Based Knowledge Distillation for Face Recognition
Jingzhi Li, Zidong Guo, Hui Li et al.
Re-Thinking Federated Active Learning Based on Inter-Class Diversity
SangMook Kim, Sangmin Bae, Hwanjun Song et al.
Rethinking Federated Learning With Domain Shift: A Prototype View
Wenke Huang, Mang Ye, Zekun Shi et al.
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
Shiqi Huang, Tingfa Xu, Ning Shen et al.
Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
Zhen Zhao, Zhizhong Zhang, Xin Tan et al.
Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective
Yuanbiao Gou, Peng Hu, Jiancheng Lv et al.
Re-Thinking Model Inversion Attacks Against Deep Neural Networks
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh et al.
Rethinking Optical Flow From Geometric Matching Consistent Perspective
Qiaole Dong, Chenjie Cao, Yanwei Fu
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need
Jingyao Li, Pengguang Chen, Zexin He et al.
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
Hang Du, Xuejun Yan, Jingjing Wang et al.
Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
Yuan Wang, Rui Sun, Tianzhu Zhang
Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
Hanyang Wang, Bo Li, Shuang Wu et al.
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
AJ Piergiovanni, Weicheng Kuo, Anelia Angelova
Revealing the Dark Secrets of Masked Image Modeling
Zhenda Xie, Zigang Geng, Jingcheng Hu et al.
REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory
Ziniu Hu, Ahmet Iscen, Chen Sun et al.
ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration
Wei-Ning Hsu, Tal Remez, Bowen Shi et al.
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
Yuxiao Chen, Jianbo Yuan, Yu Tian et al.
Revisiting Prototypical Network for Cross Domain Few-Shot Learning
Fei Zhou, Peng Wang, Lei Zhang et al.