Papers
Revisiting the Transferability of Supervised Pretraining: An MLP Perspective
Yizhou Wang, Shixiang Tang, Feng Zhu et al.
Revisiting the "Video" in Video-Language Understanding
Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon et al.
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Mannat Singh, Laura Gustafson, Aaron Adcock et al.
REX: Reasoning-Aware and Grounded Explanation
Shi Chen, Qi Zhao
RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion
Han Xu, Jiayi Ma, Jiteng Yuan et al.
RGB-Depth Fusion GAN for Indoor Depth Completion
Haowen Wang, Mingyuan Wang, Zhengping Che et al.
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi et al.
RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding
Xuanyu Zhou, Charles R. Qi, Yin Zhou et al.
RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior
Ruibo Li, Chi Zhang, Guosheng Lin et al.
RigNeRF: Fully Controllable Neural 3D Portraits
ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli et al.
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures
Chengjie Niu, Manyi Li, Kai Xu et al.
RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry
Xiya Cao, Caifa Zhou, Dandan Zeng et al.
RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization
Yan Xu, Kwan-Yee Lin, Guofeng Zhang et al.
Robust and Accurate Superquadric Recovery: A Probabilistic Approach
Weixiao Liu, Yuwei Wu, Sipu Ruan et al.
Robust Contrastive Learning Against Noisy Views
Ching-Yao Chuang, R Devon Hjelm, Xin Wang et al.
Robust Cross-Modal Representation Learning With Progressive Self-Distillation
Alex Andonian, Shixing Chen, Raffay Hamid
Robust Egocentric Photo-Realistic Facial Expression Transfer for Virtual Reality
Amin Jourabloo, Fernando De la Torre, Jason Saragih et al.
Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements
Dongdong Chen, Julián Tachella, Mike E. Davies
Robust Federated Learning With Noisy and Heterogeneous Clients
Xiuwen Fang, Mang Ye
Robust Fine-Tuning of Zero-Shot Models
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim et al.
Robust Image Forgery Detection Over Online Social Network Shared Images
Haiwei Wu, Jiantao Zhou, Jinyu Tian et al.
Robust Invertible Image Steganography
Youmin Xu, Chong Mou, Yujie Hu et al.
Robust Optimization As Data Augmentation for Large-Scale Graphs
Kezhi Kong, Guohao Li, Mucong Ding et al.