| 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 34, 3635-3649, 2021 | 774 | 2021 |
| Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection D Guan, Y Cao, J Yang, Y Cao, MY Yang Information Fusion 50, 148-157, 2019 | 299 | 2019 |
| Fsdr: Frequency space domain randomization for domain generalization J Huang, D Guan, A Xiao, S Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 293 | 2021 |
| Category contrast for unsupervised domain adaptation in visual tasks J Huang, D Guan, A Xiao, S Lu, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 195 | 2022 |
| Contextual-relation consistent domain adaptation for semantic segmentation J Huang, S Lu, D Guan, X Zhang European conference on computer vision, 705-722, 2020 | 173 | 2020 |
| 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 | 132 | 2021 |
| 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 | 131 | 2022 |
| 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 | 130 | 2023 |
| Pedestrian detection with unsupervised multispectral feature learning using deep neural networks Y Cao, D Guan, W Huang, J Yang, Y Cao, Y Qiao information fusion 46, 206-217, 2019 | 118 | 2019 |
| 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 | 102 | 2022 |
| Cross-view regularization for domain adaptive panoptic segmentation J Huang, D Guan, A Xiao, S Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 90 | 2021 |
| Rda: Robust domain adaptation via fourier adversarial attacking J Huang, D Guan, A Xiao, S Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 84 | 2021 |
| Scale variance minimization for unsupervised domain adaptation in image segmentation D Guan, J Huang, S Lu, A Xiao Pattern Recognition 112, 107764, 2021 | 77 | 2021 |
| Unbiased subclass regularization for semi-supervised semantic segmentation D Guan, J Huang, A Xiao, S Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 60 | 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 |
| Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection Y Cao, D Guan, Y Wu, J Yang, Y Cao, MY Yang ISPRS journal of photogrammetry and remote sensing 150, 70-79, 2019 | 57 | 2019 |
| Domain adaptive video segmentation via temporal consistency regularization D Guan, J Huang, A Xiao, S Lu Proceedings of the IEEE/CVF international conference on computer Vision …, 2021 | 55 | 2021 |
| 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 | 48 | 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 |
| Benchlmm: Benchmarking cross-style visual capability of large multimodal models R Cai, Z Song, D Guan, Z Chen, Y Li, X Luo, C Yi, A Kot European Conference on Computer Vision, 340-358, 2024 | 34 | 2024 |
