Dayan Guan
Dayan Guan
Verified email at ntu.edu.sg
Title
Cited by
Cited by
Year
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
902019
Contextual-relation consistent domain adaptation for semantic segmentation
J Huang, S Lu, D Guan, X Zhang
European conference on computer vision, 705-722, 2020
452020
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
272019
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
222019
Scale variance minimization for unsupervised domain adaptation in image segmentation
D Guan, J Huang, S Lu, A Xiao
Pattern Recognition 112, 107764, 2021
182021
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
162021
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
162018
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
152021
Uncertainty-aware unsupervised domain adaptation in object detection
D Guan, J Huang, A Xiao, S Lu, Y Cao
IEEE Transactions on Multimedia, 2021
132021
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
102019
Mlan: Multi-level adversarial network for domain adaptive semantic segmentation
J Huang, D Guan, S Lu, A Xiao
arXiv preprint arXiv:2103.12991, 2021
92021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
J Huang, D Guan, A Xiao, S Lu
arXiv preprint arXiv:2106.02874, 2021
52021
Category contrast for unsupervised domain adaptation in visual tasks
J Huang, D Guan, A Xiao, S Lu, L Shao
arXiv preprint arXiv:2106.02885, 2021
22021
Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data
J Huang, D Guan, A Xiao, S Lu
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
22021
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment
J Huang, D Guan, A Xiao, S Lu
arXiv preprint arXiv:2106.02845, 2021
12021
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
12021
SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation
A Xiao, J Huang, D Guan, F Zhan, S Lu
arXiv preprint arXiv:2107.05399, 2021
2021
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
2021
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