Papers
Relational Context Learning for Human-Object Interaction Detection
Sanghyun Kim, Deunsol Jung, Minsu Cho
Relational Space-Time Query in Long-Form Videos
Xitong Yang, Fu-Jen Chu, Matt Feiszli et al.
Reliability in Semantic Segmentation: Are We on the Right Track?
Pau de Jorge, Riccardo Volpi, Philip H.S. Torr et al.
Reliable and Interpretable Personalized Federated Learning
Zixuan Qin, Liu Yang, Qilong Wang et al.
RelightableHands: Efficient Neural Relighting of Articulated Hand Models
Shun Iwase, Shunsuke Saito, Tomas Simon et al.
Relightable Neural Human Assets From Multi-View Gradient Illuminations
Taotao Zhou, Kai He, Di Wu et al.
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects
Marco Toschi, Riccardo De Matteo, Riccardo Spezialetti et al.
Removing Objects From Neural Radiance Fields
Silvan Weder, Guillermo Garcia-Hernando, Áron Monszpart et al.
Renderable Neural Radiance Map for Visual Navigation
Obin Kwon, Jeongho Park, Songhwai Oh
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Titas Anciukevičius, Zexiang Xu, Matthew Fisher et al.
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction
Donghao Zhou, Chunbin Gu, Junde Xu et al.
Representation Learning for Visual Object Tracking by Masked Appearance Transfer
Haojie Zhao, Dong Wang, Huchuan Lu
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.