| Decoupling representation and classifier for long-tailed recognition B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis International Conference on Learning Representations (ICLR), 2020, 2020 | 1410 | 2020 |
| Few-shot object detection via feature reweighting B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell International Conference on Computer Vision (ICCV), 2019, 2019 | 907 | 2019 |
| Deepvit: Towards deeper vision transformer D Zhou, B Kang, X Jin, L Yang, X Lian, Z Jiang, Q Hou, J Feng arXiv preprint arXiv:2103.11886, 2021 | 638 | 2021 |
| Deep long-tailed learning: A survey Y Zhang, B Kang, B Hooi, S Yan, J Feng IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 587 | 2023 |
| Depth anything: Unleashing the power of large-scale unlabeled data L Yang, B Kang†(Proj Lead), Z Huang, X Xu, J Feng, H Zhao Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 2024 | 368 | 2024 |
| Overcoming classifier imbalance for long-tail object detection with balanced group softmax Y Li, T Wang, B Kang, S Tang, C Wang, J Li, J Feng Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 318 | 2020 |
| Exploring balanced feature spaces for representation learning B Kang, Y Li, S Xie, Z Yuan, J Feng International Conference on Learning Representations (ICLR), 2021, 2021 | 284 | 2021 |
| The devil is in classification: A simple framework for long-tail instance segmentation T Wang, Y Li, B Kang, J Li, J Liew, S Tang, S Hoi, J Feng European Conference on Computer Vision (ECCV), 2020, 2020 | 212 | 2020 |
| Policy optimization with demonstrations B Kang, Z Jie, J Feng International Conference on Machine Learning (ICML), 2018, 2018 | 185 | 2018 |
| Improving generalization in reinforcement learning with mixture regularization K Wang, B Kang, J Shao, J Feng Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020 | 129 | 2020 |
| Regularization matters in policy optimization Z Liu, X Li, B Kang, T Darrell International Conference on Learning Representations (ICLR), 2021, 2021 | 86 | 2021 |
| Bubogpt: Enabling visual grounding in multi-modal llms Y Zhao, Z Lin, D Zhou, Z Huang, J Feng, B Kang Tech Report, 2023, 2023 | 84 | 2023 |
| Depth Anything V2 L Yang, B Kang†(Proj Lead), Z Huang, Z Zhao, X Xu, J Feng, H Zhao Advances in Neural Information Processing Systems (NeurIPS), 2024, 2024 | 75 | 2024 |
| Refiner: Refining self-attention for vision transformers D Zhou, Y Shi, B Kang, W Yu, Z Jiang, Y Li, X Jin, Q Hou, J Feng arXiv preprint arXiv:2106.03714, 2021 | 71 | 2021 |
| Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. Y Chen, X Jin, B Kang, J Feng, S Yan International Joint Conferences on Artificial Intelligence (IJCAI), 2018, 2018 | 70* | 2018 |
| Online meta adaptation for fast video object segmentation H Xiao, B Kang, Y Liu, M Zhang, J Feng IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 | 46 | 2019 |
| Efficient diffusion policies for offline reinforcement learning B Kang, X Ma, C Du, T Pang, S Yan Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023 | 42 | 2023 |
| Bag of tricks for training data extraction from language models W Yu, T Pang, Q Liu, C Du, B Kang, Y Huang, M Lin, S Yan International Conference on Machine Learning (ICML), 2023, 2023 | 40 | 2023 |
| Freemask: Synthetic images with dense annotations make stronger segmentation models L Yang, X Xu, B Kang, Y Shi, H Zhao Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023 | 35 | 2023 |
| Transferable Meta Learning Across Domains. B Kang, J Feng The Conference on Uncertainty in Artificial Intelligence (UAI), 2018, 2018 | 34 | 2018 |
Jiashi FengByteDance Inc.Verified email at bytedance.com
