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Dayan Guan
Dayan Guan
Verified email at ntu.edu.sg - Homepage
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
2302019
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
2172021
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
1952021
Contextual-relation consistent domain adaptation for semantic segmentation
J Huang, S Lu, D Guan, X Zhang
European conference on computer vision, 705-722, 2020
1642020
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
1342022
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
992021
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
842019
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
752022
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
732021
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
702021
Scale variance minimization for unsupervised domain adaptation in image segmentation
D Guan, J Huang, S Lu, A Xiao
Pattern Recognition 112, 107764, 2021
672021
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, 2023
582023
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
492019
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
442022
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
392021
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
372021
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
352022
Multi-level adversarial network for domain adaptive semantic segmentation
J Huang, D Guan, A Xiao, S Lu
Pattern Recognition 123, 108384, 2022
342022
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
272019
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
272018
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