Poster Papers
24,624 papers found • Page 450 of 493
Conference
Rethinking Human Motion Prediction with Symplectic Integral
Haipeng Chen, Kedi L yu, Zhenguang Liu et al.
Rethinking Image Super Resolution from Training Data Perspectives
Go Ohtani, Ryu Tadokoro, Ryosuke Yamada et al.
Rethinking Image-to-Video Adaptation: An Object-centric Perspective
Rui Qian, Shuangrui Ding, Dahua Lin
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao, Kaixiong Zhou, Yili Wang et al.
Rethinking Inductive Biases for Surface Normal Estimation
Gwangbin Bae, Andrew J. Davison
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
Yuxin Dong, Tieliang Gong, Hong Chen et al.
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts
Qin Liu, Jaemin Cho, Mohit Bansal et al.
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
Vijay Chandra Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim et al.
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Huanran Chen, Yichi Zhang, Yinpeng Dong et al.
Rethinking Momentum Knowledge Distillation in Online Continual Learning
Nicolas MICHEL, Maorong Wang, Ling Xiao 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, Xiao-Li Wang et al.
Rethinking Normalization Layers for Domain Generalizable Person Re-identification
Ren Nie, Jin Ding, Xue Zhou et al.
Rethinking Optimization and Architecture for Tiny Language Models
Yehui Tang, Kai Han, Fangcheng Liu et al.
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
Jin Wang, Bingfeng Zhang, Jian Pang et al.
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
Bowen Gao, Minsi Ren, Yuyan Ni et al.
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
Shih-Hsin Wang, Yung-Chang Hsu, Justin Baker et al.
Rethinking the Evaluation Protocol of Domain Generalization
Han Yu, Xingxuan Zhang, Renzhe Xu et al.
Rethinking the Flat Minima Searching in Federated Learning
Taehwan Lee, Sung Whan Yoon
Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
Yuchao Gu, Xintao Wang, Yixiao Ge et al.
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
Zehao Dong, Muhan Zhang, Philip Payne 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 symmetry-preserving circuits for constrained variational quantum algorithms
Ge Yan, Hongxu Chen, Kaisen Pan et al.
Rethinking the Uniformity Metric in Self-Supervised Learning
Xianghong Fang, Jian Li, Qiang Sun et al.
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
Chuangchuang Tan, Huan Liu, Yao Zhao et al.
Rethinking Transformers in Solving POMDPs
Chenhao Lu, Ruizhe Shi, Yuyao Liu et al.
Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
Mubashir Noman, Muzammal Naseer, Hisham Cholakkal et al.
Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification
Hai Ci, Pei Yang, Yiren Song et al.
Rethinking Unsupervised Outlier Detection via Multiple Thresholding
Zhonghang Liu, Panzhong Lu, Guoyang Xie et al.
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
chen rao, Guangyuan Li, Zehua Lan et al.
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data
Wufei Ma, Kai Li, Zhongshi Jiang et al.
Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective
Xiang Fang, Zeyu Xiong, Wanlong Fang et al.
Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
Chen Tang, Yuan Meng, Jiacheng Jiang et al.
Retrieval Across Any Domains via Large-scale Pre-trained Model
Jiexi Yan, Zhihui Yin, Chenghao Xu 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.
Retrieval-Augmented Score Distillation for Text-to-3D Generation
Junyoung Seo, Susung Hong, Wooseok Jang et al.
Retrieval-Enhanced Contrastive Vision-Text Models
Ahmet Iscen, Mathilde Caron, Alireza Fathi et al.
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan et al.
Retrieval is Accurate Generation
Bowen Cao, Deng Cai, Leyang Cui et al.
Retrieval meets Long Context Large Language Models
Peng Xu, Wei Ping, Xianchao Wu et al.
Retrieval Robust to Object Motion Blur
Rong Zou, Marc Pollefeys, Denys Rozumnyi
Retro-fallback: retrosynthetic planning in an uncertain world
Austin Tripp, Krzysztof Maziarz, Sarah Lewis et al.
RETSim: Resilient and Efficient Text Similarity
Marina Zhang, Owen Vallis, Aysegul Bumin et al.
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
David Ireland, Giovanni Montana
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space
Naveen Kumar Kummari, Reshmi Mitra, Krishna Mohan Chalavadi