Seuraa
Dahua Lin
Dahua Lin
Vahvistettu sähköpostiosoite verkkotunnuksessa ie.cuhk.edu.hk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Spatial temporal graph convolutional networks for skeleton-based action recognition
S Yan, Y Xiong, D Lin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
48862018
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
47302016
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
42422018
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
32722019
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
17322019
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
15492019
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
12752019
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
12552018
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
10952017
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
9342018
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
7842017
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
7632019
Carafe: Content-aware reassembly of features
J Wang, K Chen, R Xu, Z Liu, CC Loy, D Lin
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
6572019
Revisiting skeleton-based action recognition
H Duan, Y Zhao, K Chen, D Lin, B Dai
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
6302022
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
6242017
Detecting visual relationships with deep relational networks
B Dai, Y Zhang, D Lin
Proceedings of the IEEE conference on computer vision and Pattern …, 2017
6032017
Fcos3d: Fully convolutional one-stage monocular 3d object detection
T Wang, X Zhu, J Pang, D Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision, 913-922, 2021
5972021
Cylindrical and asymmetrical 3d convolution networks for lidar segmentation
X Zhu, H Zhou, T Wang, F Hong, Y Ma, W Li, H Li, D Lin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
5792021
Mmbench: Is your multi-modal model an all-around player?
Y Liu, H Duan, Y Zhang, B Li, S Zhang, W Zhao, Y Yuan, J Wang, C He, ...
European Conference on Computer Vision, 216-233, 2025
5032025
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
4092019
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