Papers
Restoration by Generation with Constrained Priors
Zheng Ding, Xuaner Zhang, Zhuowen Tu et al.
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
Dipam Goswami, Albin Soutif-Cormerais, 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 FID: Towards a Better Evaluation Metric for Image Generation
Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit et al.
Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space
Chengyang Hu, Ke-Yue Zhang, Taiping Yao et al.
Rethinking Human Motion Prediction with Symplectic Integral
Haipeng Chen, Kedi Lyu, 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, Xiaoli 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, Yao Zhao, Shikui Wei 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.