| Voxel Transformer for 3D Object Detection J Mao, Y Xue, M Niu, H Bai, J Feng, X Liang, H Xu, C Xu International Conference on Computer Vision (ICCV), 2021 | 465 | 2021 |
| Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection J Mao, M Niu, H Bai, X Liang, H Xu, C Xu International Conference on Computer Vision (ICCV), 2021 | 176 | 2021 |
| OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization N Ye, K Li, H Bai, R Yu, L Hong, F Zhou, Z Li, J Zhu Computer Vision and Pattern Recognition (CVPR), 2022 | 165* | 2022 |
| DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation H Bai, R Sun, L Hong, F Zhou, N Ye, HJ Ye, SHG Chan, Z Li Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021 | 78 | 2021 |
| NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization H Bai, F Zhou, L Hong, N Ye, SHG Chan, Z Li International Conference on Computer Vision (ICCV), 2021 | 48 | 2021 |
| Feed two birds with one scone: Exploiting wild data for both out-of-distribution generalization and detection H Bai, G Canal, X Du, J Kwon, RD Nowak, Y Li International Conference on Machine Learning, 1454-1471, 2023 | 35 | 2023 |
| A Survey on Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal H Bai, J Mao, SHG Chan Neurocomputing, 2022 | 33* | 2022 |
| Crowd Counting on Images with Scale Variation and Isolated Clusters H Bai, S Wen, SH Gary Chan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 27 | 2019 |
| HYPO: Hyperspherical Out-of-Distribution Generalization H Bai, Y Ming, J Katz-Samuels, Y Li International Conference on Learning Representations 2024, 2024 | 7* | 2024 |
| CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation H Bai, H He, Z Peng, T Dai, SHG Chan ECCV 2022 Workshops, 207-222, 2023 | 5 | 2023 |
| Improving out-of-distribution robustness of classifiers via generative interpolation H Bai, C Yang, Y Xu, SHG Chan, B Zhou arXiv preprint arXiv:2307.12219, 2023 | 4 | 2023 |
| Motion-guided non-local spatial-temporal network for video crowd counting H Bai, SHG Chan arXiv preprint arXiv:2104.13946, 2021 | 4 | 2021 |
| Crowd counting by self-supervised transfer colorization learning and global prior classification H Bai, S Wen, SHG Chan arXiv preprint arXiv:2105.09684, 2021 | 3 | 2021 |
| AHA: Human-Assisted Out-of-Distribution Generalization and Detection H Bai, J Zhang, R Nowak Neural Information Processing Systems 2024, 2024 | 2 | 2024 |
| Out-of-Distribution Learning with Human Feedback H Bai, X Du, K Rainey, S Parameswaran, Y Li arXiv preprint arXiv:2408.07772, 2024 | 2 | 2024 |
| Deep Active Learning in the Open World T Xie, J Zhang, H Bai, R Nowak arXiv preprint arXiv:2411.06353, 2024 | | 2024 |
| Towards Robust Out-of-distribution Generalization: Data Augmentation and Neural Architecture Search Approaches H Bai Hong Kong University of Science and Technology Thesis, 2024 | | 2024 |
| Publications and Preprints S Im, Y Li, Z Fang, F Liu, B Han, J Lu, M Khanov, J Burapacheep, H Bai, ... | | 2011 |
| Re-Benchmarking Out-of-Distribution Detection in Deep Neural Networks J Gao, H Bai, L Zhu, N Ye | | |
