| 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 | 78* | 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 | 73 | 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 | 71 | 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 | 46 | 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 | 37 | 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 | 31 | 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 | 29 | 2024 |
| Distilling Visual Priors from Self-Supervised Learning B Zhao, X Wen European Conference on Computer Vision (ECCV) Workhops, 2020 | 15 | 2020 |
| 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 | 12 | 2024 |
| 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 | 4 | 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 |
| 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 | 1* | 2024 |
| Granularity Matters in Long-Tail Learning S Zhao, X Wen, J Liu, C Ma, C Yuan, X Qi arXiv preprint arXiv:2410.15980, 2024 | | 2024 |
| An Image is Worth Slots: Data-efficient Scaling of Self-supervised Visual Pre-training 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 EdinburghVerified email at ed.ac.uk
