| Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence B Peng, D Goldstein, Q Anthony, A Albalak, E Alcaide, S Biderman, ... arXiv preprint arXiv:2404.05892, 2024 | 149* | 2024 |
| Novel visual category discovery with dual ranking statistics and mutual knowledge distillation B Zhao, K Han Advances in Neural Information Processing Systems 34, 22982-22994, 2021 | 80 | 2021 |
| Improving Contrastive Learning by Visualizing Feature Transformation R Zhu, B Zhao, J Liu, Z Sun, CW Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 67 | 2021 |
| Temporal Context Aggregation for Video Retrieval with Contrastive Learning J Shao, X Wen, B Zhao, X Xue Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 55 | 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 35, 16423-16438, 2022 | 49 | 2022 |
| OOD-CV: a benchmark for robustness to out-of-distribution shifts of individual nuisances in natural images B Zhao, S Yu, W Ma, M Yu, S Mei, A Wang, J He, A Yuille, A Kortylewski European Conference on Computer Vision, 163-180, 2022 | 40* | 2022 |
| Parametric classification for generalized category discovery: A baseline study X Wen, B Zhao, X Qi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 31* | 2023 |
| The 1st agriculture-vision challenge: Methods and results MT Chiu, X Xu, K Wang, J Hobbs, N Hovakimyan, TS Huang, H Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 30 | 2020 |
| Xcon: Learning with experts for fine-grained category discovery Y Fei, Z Zhao, S Yang, B Zhao arXiv preprint arXiv:2208.01898, 2022 | 23 | 2022 |
| Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery B Zhao, X Wen, K Han arXiv preprint arXiv:2305.06144, 2023 | 22 | 2023 |
| Discriminability-transferability trade-off: An information-theoretic perspective Q Cui, B Zhao, ZM Chen, B Zhao, R Song, B Zhou, J Liang, O Yoshie European Conference on Computer Vision, 20-37, 2022 | 13 | 2022 |
| Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization S Yang, S Yu, B Zhao, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs H Tu, C Cui, Z Wang, Y Zhou, B Zhao, J Han, W Zhou, H Yao, C Xie arXiv preprint arXiv:2311.16101, 2023 | 12 | 2023 |
| Distilling visual priors from self-supervised learning B Zhao, X Wen Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 12 | 2020 |
| Incremental generalized category discovery B Zhao, O Mac Aodha arXiv preprint arXiv:2304.14310, 2023 | 11 | 2023 |
| Rail-5k: a Real-World Dataset for Rail Surface Defects Detection Z Zhang, S Yu, S Yang, Y Zhou, B Zhao arXiv preprint arXiv:2106.14366, 2021 | 8 | 2021 |
| Context encoding for video retrieval with contrastive learning J Shao, X Wen, B Zhao, C Wang, X Xue arXiv preprint arXiv:2008.01334, 2020 | 6 | 2020 |
| Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics H Tu, B Zhao, C Wei, C Xie arXiv preprint arXiv:2309.07120, 2023 | 5 | 2023 |
| What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-Modal Language Models L Zhang, X Zhai, Z Zhao, X Wen, B Zhao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning B Zhao, H Tu, C Wei, J Mei, C Xie arXiv preprint arXiv:2312.11420, 2023 | 3 | 2023 |
Xin WenThe University of Hong KongVerified email at eee.hku.hk
