Papers
Boosting Monocular Depth Estimation With Lightweight 3D Point Fusion
Lam Huynh, Phong Nguyen, Jiří Matas et al.
Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder
Hanwen Liang, Qiong Zhang, Peng Dai et al.
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
Bowen Dong, Zitong Huang, Yuelin Guo et al.
Bootstrap Your Own Correspondences
Mohamed El Banani, Justin Johnson
BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search
Changlin Li, Tao Tang, Guangrun Wang et al.
Boundary-Sensitive Pre-Training for Temporal Localization in Videos
Mengmeng Xu, Juan-Manuel Pérez-Rúa, Victor Escorcia et al.
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
Chaoda Zheng, Xu Yan, Jiantao Gao et al.
Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation
Qiusheng Huang, Zhilin Zheng, Xueqi Hu et al.
Bridging Unsupervised and Supervised Depth From Focus via All-in-Focus Supervision
Ning-Hsu Wang, Ren Wang, Yu-Lun Liu et al.
Bringing Events Into Video Deblurring With Non-Consecutively Blurry Frames
Wei Shang, Dongwei Ren, Dongqing Zou et al.
Broaden Your Views for Self-Supervised Video Learning
Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac et al.
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation
Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo et al.
BuildingNet: Learning To Label 3D Buildings
Pratheba Selvaraju, Mohamed Nabail, Marios Loizou et al.
BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification
Cheng Yan, Guansong Pang, Lei Wang et al.
C2N: Practical Generative Noise Modeling for Real-World Denoising
Geonwoon Jang, Wooseok Lee, Sanghyun Son et al.
C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing
Yanning Zhou, Hang Xu, Wei Zhang et al.
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization
Hyolim Kang, Kyungmin Kim, Yumin Ko et al.
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation
Elias Kassapis, Georgi Dikov, Deepak K. Gupta et al.
Calibrated and Partially Calibrated Semi-Generalized Homographies
Snehal Bhayani, Torsten Sattler, Daniel Barath et al.
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang et al.
Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning
Hanbyel Cho, Yooshin Cho, Jaemyung Yu et al.
CANet: A Context-Aware Network for Shadow Removal
Zipei Chen, Chengjiang Long, Ling Zhang et al.
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?
Lijun Wang, Yifan Wang, Linzhao Wang et al.
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?
Mingjie Sun, Zichao Li, Chaowei Xiao et al.
CanvasVAE: Learning To Generate Vector Graphic Documents
Kota Yamaguchi