| Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data J Huang, D Guan, A Xiao, S Lu Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 2021 | 784 | 2021 |
| Vision-language models for vision tasks: A survey J Zhang*, J Huang*, S Jin, S Lu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 538 | 2024 |
| FSDR: Frequency Space Domain Randomization for Domain Generalization J Huang, D Guan, A Xiao, S Lu Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 302 | 2021 |
| Category contrast for unsupervised domain adaptation in visual tasks J Huang, D Guan, A Xiao, S Lu, L Shao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 197 | 2022 |
| Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation J Huang, S Lu, D Guan, X Zhang European Conference on Computer Vision (ECCV), 2020, pp 705-722, 2020 | 173 | 2020 |
| Unsupervised point cloud representation learning with deep neural networks: A survey A Xiao*, J Huang*, D Guan, X Zhang, S Lu, L Shao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 11321 …, 2023 | 138 | 2023 |
| Transfer learning from synthetic to real lidar point cloud for semantic segmentation A Xiao, J Huang, D Guan, F Zhan, S Lu Proceedings of the AAAI conference on artificial intelligence 36 (3), 2795-2803, 2022 | 136 | 2022 |
| Uncertainty-aware unsupervised domain adaptation in object detection D Guan, J Huang, A Xiao, S Lu, Y Cao IEEE Transactions on Multimedia 24, 2502-2514, 2021 | 134 | 2021 |
| Polarmix: A general data augmentation technique for lidar point clouds A Xiao, J Huang, D Guan, K Cui, S Lu, L Shao Advances in Neural Information Processing Systems 35, 11035-11048, 2022 | 111 | 2022 |
| Cross-View Regularization for Domain Adaptive Panoptic Segmentation J Huang, D Guan, A Xiao, S Lu Computer Vision and Pattern Recognition (CVPR), 2021, Oral, 2021 | 91 | 2021 |
| Spectral unsupervised domain adaptation for visual recognition J Zhang*, J Huang*, S Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 90 | 2022 |
| RDA: Robust Domain Adaptation via Fourier Adversarial Attacking J Huang, D Guan, A Xiao, S Lu International Conference on Computer Vision (ICCV), 2021, 2021 | 84 | 2021 |
| Da-detr: Domain adaptive detection transformer with information fusion J Zhang*, J Huang*, Z Luo, G Zhang, X Zhang, S Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 78 | 2023 |
| Scale variance minimization for unsupervised domain adaptation in image segmentation D Guan, J Huang, S Lu, A Xiao Pattern Recognition 112, 107764, 2020 | 77 | 2020 |
| Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation D Guan, J Huang, A Xiao, S Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022, 2022 | 63 | 2022 |
| FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation A Xiao, X Yang, S Lu, D Guan, J Huang ISPRS Journal of Photogrammetry and Remote Sensing 176, 237-249, 2021 | 59 | 2021 |
| Domain Adaptive Video Segmentation via Temporal Consistency Regularization D Guan, J Huang, A Xiao, S Lu International Conference on Computer Vision (ICCV), 2021, 2021 | 55 | 2021 |
| Xnet: Wavelet-based low and high frequency fusion networks for fully-and semi-supervised semantic segmentation of biomedical images Y Zhou, J Huang, C Wang, L Song, G Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 50 | 2023 |
| 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds A Xiao, J Huang, W Xuan, R Ren, K Liu, D Guan, A El Saddik, S Lu, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 50 | 2023 |
| Multi-level adversarial network for domain adaptive semantic segmentation J Huang, D Guan, A Xiao, S Lu Pattern Recognition 123, 108384, 2022 | 44 | 2022 |
Shijian LuCollege of Computing and Data Science, NTUVerified email at ntu.edu.sg
