Papers
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.
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion
Su Sun, Cheng Zhao, Yuliang Guo et al.
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng, Linyuan Zhou, Han Li et al.
Benchmarking Audio Visual Segmentation for Long-Untrimmed Videos
Chen Liu, Peike Patrick Li, Qingtao Yu et al.
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
Zijin Yin, Kongming Liang, Bing Li et al.
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng, Xiaoyong Chen, Jiaming Liang et al.
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation
Qihang Zhang, Yinghao Xu, Yujun Shen et al.
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection
Zhenxin Li, Shiyi Lan, Jose M. Alvarez et al.
BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection
Wenjie Wang, Yehao Lu, Guangcong Zheng et al.
Beyond Average: Individualized Visual Scanpath Prediction
Xianyu Chen, Ming Jiang, Qi Zhao
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion
Litu Rout, Yujia Chen, Abhishek Kumar et al.
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss
Jaeha Kim, Junghun Oh, Kyoung Mu Lee
Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning
Nirat Saini, Khoi Pham, Abhinav Shrivastava
Beyond Text: Frozen Large Language Models in Visual Signal Comprehension
Lei Zhu, Fangyun Wei, Yanye Lu
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples
Yuyang Yu, Bangzhen Liu, Chenxi Zheng et al.
Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs
Hugh Blayney, Hanlin Tian, Hamish Scott et al.
Bi-Causal: Group Activity Recognition via Bidirectional Causality
Youliang Zhang, Wenxuan Liu, Danni Xu et al.
Bidirectional Autoregessive Diffusion Model for Dance Generation
Canyu Zhang, Youbao Tang, Ning Zhang et al.
Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
Xiang Chen, Jinshan Pan, Jiangxin Dong
BigGait: Learning Gait Representation You Want by Large Vision Models
Dingqiang Ye, Chao Fan, Jingzhe Ma et al.