| 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 | 257 | 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 | 232 | 2021 |
| 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 | 224 | 2021 |
| Contextual-relation consistent domain adaptation for semantic segmentation J Huang, S Lu, D Guan, X Zhang European conference on computer vision, 705-722, 2020 | 166 | 2020 |
| 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, 2022 | 153 | 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 | 108 | 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 | 91 | 2022 |
| 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 | 90 | 2019 |
| 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 | 81 | 2021 |
| 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 | 77 | 2023 |
| 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 | 73 | 2021 |
| Scale variance minimization for unsupervised domain adaptation in image segmentation D Guan, J Huang, S Lu, A Xiao Pattern Recognition 112, 107764, 2021 | 72 | 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, 2022 | 67 | 2022 |
| 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 | 52 | 2019 |
| 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 | 48 | 2021 |
| 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 | 41 | 2022 |
| 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 | 41 | 2021 |
| Multi-level adversarial network for domain adaptive semantic segmentation J Huang, D Guan, A Xiao, S Lu Pattern Recognition 123, 108384, 2022 | 37 | 2022 |
| Exploiting fusion architectures for multispectral pedestrian detection and segmentation D Guan, Y Cao, J Yang, Y Cao, CL Tisse Applied optics 57 (18), D108-D116, 2018 | 28 | 2018 |
| Unsupervised domain adaptation for multispectral pedestrian detection D Guan, X Luo, Y Cao, J Yang, Y Cao, G Vosselman, M Ying Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 26 | 2019 |
