Papers
Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers
Jinxia Xie, Bineng Zhong, Zhiyi Mo et al.
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
Xidong Wu, Shangqian Gao, Zeyu Zhang et al.
AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation
Jeongsoo Choi, Se Jin Park, Minsu Kim et al.
AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond
Zixiang Zhou, Yu Wan, Baoyuan Wang
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
Xu Yang, Xuan Chen, Moqi Li et al.
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection
Trevine Oorloff, Surya Koppisetti, Nicolò Bonettini et al.
AVID: Any-Length Video Inpainting with Diffusion Model
Zhixing Zhang, Bichen Wu, Xiaoyan Wang et al.
A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing
Maomao Li, Yu Li, Tianyu Yang et al.
A Vision Check-up for Language Models
Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad et al.
AV-RIR: Audio-Visual Room Impulse Response Estimation
Anton Ratnarajah, Sreyan Ghosh, Sonal Kumar et al.
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
Junghyup Lee, Bumsub Ham
Backdoor Defense via Test-Time Detecting and Repairing
Jiyang Guan, Jian Liang, Ran He
Backpropagation-free Network for 3D Test-time Adaptation
Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder et al.
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
Thomas Wimmer, Peter Wonka, Maks Ovsjanikov
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
Siyuan Liang, Mingli Zhu, Aishan Liu et al.
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
Jiawang Bai, Kuofeng Gao, Shaobo Min et al.
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Rishubh Parihar, Abhijnya Bhat, Abhipsa Basu et al.
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction
Akhmedkhan Shabanov, Shrisudhan Govindarajan, Cody Reading et al.
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
Yiran Song, Qianyu Zhou, Xiangtai Li et al.
Batch Normalization Alleviates the Spectral Bias in Coordinate Networks
Zhicheng Cai, Hao Zhu, Qiu Shen et al.
Bayesian Differentiable Physics for Cloth Digitalization
Deshan Gong, Ningtao Mao, He Wang
Bayesian Diffusion Models for 3D Shape Reconstruction
Haiyang Xu, Yu Lei, Zeyuan Chen et al.
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
Yibo Miao, Yu Lei, Feng Zhou et al.
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Lily Goli, Cody Reading, Silvia Sellán et al.
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation
Yunhao Ge, Yihe Tang, Jiashu Xu et al.