Seuraa
Dahua Lin
Dahua Lin
The Chinese University of Hong Kong
Vahvistettu sähköpostiosoite verkkotunnuksessa ie.cuhk.edu.hk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Temporal segment networks: Towards good practices for deep action recognition
L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool
European conference on computer vision, 20-36, 2016
32502016
Spatial temporal graph convolutional networks for skeleton-based action recognition
S Yan, Y Xiong, D Lin
Thirty-second AAAI conference on artificial intelligence, 2018
24902018
Unsupervised feature learning via non-parametric instance discrimination
Z Wu, Y Xiong, SX Yu, D Lin
Proceedings of the IEEE conference on computer vision and pattern …, 2018
20792018
MMDetection: Open mmlab detection toolbox and benchmark
K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ...
arXiv preprint arXiv:1906.07155, 2019
14932019
Libra r-cnn: Towards balanced learning for object detection
J Pang, K Chen, J Shi, H Feng, W Ouyang, D Lin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
9592019
Hybrid task cascade for instance segmentation
K Chen, J Pang, J Wang, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Shi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
8462019
Temporal action detection with structured segment networks
Y Zhao, Y Xiong, L Wang, Z Wu, X Tang, D Lin
Proceedings of the IEEE International Conference on Computer Vision, 2914-2923, 2017
7822017
Psanet: Point-wise spatial attention network for scene parsing
H Zhao, Y Zhang, S Liu, J Shi, CC Loy, D Lin, J Jia
Proceedings of the European conference on computer vision (ECCV), 267-283, 2018
7622018
Towards diverse and natural image descriptions via a conditional gan
B Dai, S Fidler, R Urtasun, D Lin
Proceedings of the IEEE international conference on computer vision, 2970-2979, 2017
5062017
Temporal segment networks for action recognition in videos
L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool
IEEE transactions on pattern analysis and machine intelligence 41 (11), 2740 …, 2018
5022018
Region proposal by guided anchoring
J Wang, K Chen, S Yang, CC Loy, D Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4792019
Detecting visual relationships with deep relational networks
B Dai, Y Zhang, D Lin
Proceedings of the IEEE conference on computer vision and Pattern …, 2017
4622017
Learning a unified classifier incrementally via rebalancing
S Hou, X Pan, CC Loy, Z Wang, D Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4562019
Untrimmednets for weakly supervised action recognition and detection
L Wang, Y Xiong, D Lin, L Van Gool
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017
4512017
Holistic scene understanding for 3d object detection with rgbd cameras
D Lin, S Fidler, R Urtasun
Proceedings of the IEEE international conference on computer vision, 1417-1424, 2013
3362013
Molecular recognition using corona phase complexes made of synthetic polymers adsorbed on carbon nanotubes
J Zhang, MP Landry, PW Barone, JH Kim, S Lin, ZW Ulissi, D Lin, B Mu, ...
Nature nanotechnology 8 (12), 959-968, 2013
2592013
Image tagging based upon cross domain context
SJ Baker, A Kapoor, G Hua, D Lin
US Patent 8,645,287, 2014
2542014
Polynet: A pursuit of structural diversity in very deep networks
X Zhang, Z Li, C Change Loy, D Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2532017
Conditional infomax learning: An integrated framework for feature extraction and fusion
D Lin, X Tang
European conference on computer vision, 68-82, 2006
2482006
Adapting object detectors via selective cross-domain alignment
X Zhu, J Pang, C Yang, J Shi, D Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2412019
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