Parametric Classification for Generalized Category Discovery: A Baseline Study X Wen*, B Zhao*, X Qi
IEEE International Conference on Computer Vision (ICCV), 16590-16600, 2023
88 * 2023 Temporal Context Aggregation for Video Retrieval with Contrastive Learning J Shao*, X Wen*, B Zhao, X Xue
IEEE Winter Conference on Applications of Computer Vision (WACV), 3268-3278, 2021
77 2021 Self-Supervised Visual Representation Learning with Semantic Grouping X Wen, B Zhao, A Zheng, X Zhang, X Qi
Advances in Neural Information Processing Systems (NeurIPS) 35, 16423-16438, 2022
74 2022 Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery B Zhao, X Wen, K Han
IEEE International Conference on Computer Vision (ICCV), 16623-16633, 2023
52 2023 CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection C Ma, Y Jiang*, X Wen*, Z Yuan, X Qi
Advances in Neural Information Processing Systems (NeurIPS) 36, 71078-71094, 2023
44 2023 Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning X Wu, X Wen, X Liu, H Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9415-9424, 2023
35 2023 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training X Wu, Z Tian, X Wen, B Peng, X Liu, K Yu, H Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 19551-19562, 2024
34 2024 What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models L Zhang, X Zhai, Z Zhao, Y Zong, X Wen, B Zhao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21853-21862, 2024
18 2024 Distilling Visual Priors from Self-Supervised Learning B Zhao, X Wen
European Conference on Computer Vision (ECCV) Workhops, 2020
15 2020 Classes Are Not Equal: An Empirical Study on Image Recognition Fairness J Cui, B Zhu, X Wen, X Qi, B Yu, H Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 23283-23292, 2024
5 2024 What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights X Wen, B Zhao, Y Chen, J Pang, X Qi
Advances in Neural Information Processing Systems (NeurIPS) 37, 2024
3 * 2024 Can OOD Object Detectors Learn from Foundation Models? J Liu, X Wen, S Zhao, Y Chen, X Qi
European Conference on Computer Vision (ECCV), 2024
1 2024 Granularity Matters in Long-Tail Learning S Zhao, X Wen, J Liu, C Ma, C Yuan, X Qi
2024 An Image is Worth X Wen, B Zhao, Y Chen, J Pang, X QI
Rethinking Out-of-Distribution Detection in Vision Foundation Models S Zhao, J Liu, X Wen, H Tan, X QI
Bingchen ZhaoUniversity of EdinburghEmail verificata su ed.ac.uk