Papers
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation
Nadine Rüegg, Shashank Tripathi, Konrad Schindler et al.
Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization
Chen Lin, Bo Peng, Zheyang Li et al.
Bitstream-Corrupted JPEG Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration
Wenyang Liu, Yi Wang, Kim-Hui Yap et al.
BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
Jennifer J. Sun, Lili Karashchuk, Amil Dravid et al.
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation
Phoenix Neale Williams, Ke Li
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
Changdae Oh, Hyeji Hwang, Hee-young Lee et al.
Blemish-Aware and Progressive Face Retouching With Limited Paired Data
Lianxin Xie, Wen Xue, Zhen Xu et al.
BlendFields: Few-Shot Example-Driven Facial Modeling
Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi et al.
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
Weixia Zhang, Guangtao Zhai, Ying Wei et al.
Blind Video Deflickering by Neural Filtering With a Flawed Atlas
Chenyang Lei, Xuanchi Ren, Zhaoxiang Zhang et al.
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection
Yeonguk Yu, Sungho Shin, Seongju Lee et al.
Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images
Hugo Bertiche, Niloy J. Mitra, Kuldeep Kulkarni et al.
Blur Interpolation Transformer for Real-World Motion From Blur
Zhihang Zhong, Mingdeng Cao, Xiang Ji et al.
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation
Bo Huang, Mingyang Chen, Yi Wang et al.
Boosting Detection in Crowd Analysis via Underutilized Output Features
Shaokai Wu, Fengyu Yang
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt
Hao Li, Dingwen Zhang, Nian Liu et al.
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Yuhao Chen, Xin Tan, Borui Zhao et al.
Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization
Ran Tao, Hao Chen, Marios Savvides
Boosting Verified Training for Robust Image Classifications via Abstraction
Zhaodi Zhang, Zhiyi Xue, Yang Chen et al.
Boosting Video Object Segmentation via Space-Time Correspondence Learning
Yurong Zhang, Liulei Li, Wenguan Wang et al.
Boosting Weakly-Supervised Temporal Action Localization With Text Information
Guozhang Li, De Cheng, Xinpeng Ding et al.
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization
Chong Yu, Tao Chen, Zhongxue Gan et al.
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping
Long Lian, Zhirong Wu, Stella X. Yu
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
Muli Yang, Liancheng Wang, Cheng Deng et al.