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Junwen Chen
Junwen Chen
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Title
Cited by
Cited by
Year
Automatic defect detection of fasteners on the catenary support device using deep convolutional neural network
J Chen, Z Liu, H Wang, A Núñez, Z Han
IEEE Transactions on Instrumentation and Measurement 67 (2), 257-269, 2017
2882017
Computer vision–based automatic rod-insulator defect detection in high-speed railway catenary system
Y Han, Z Liu, DJ Lee, W Liu, J Chen, Z Han
International Journal of Advanced Robotic Systems 15 (3), 1729881418773943, 2018
232018
Group activity prediction with sequential relational anticipation model
J Chen, W Bao, Y Kong
European Conference on Computer Vision, 581-597, 2020
132020
Crack detection of messenger wire supporter in catenary support devices of high-speed railway based on Faster R-CNN
K Liu, Z Liu, J Chen
J. China Railway Soc. 41 (7), 43-49, 2019
112019
High-speed railway catenary components detection using the cascaded convolutional neural networks
J Chen, Z Liu, H Wang, K Liu
2017 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2017
112017
Activity-driven weakly-supervised spatio-temporal grounding from untrimmed videos
J Chen, W Bao, Y Kong
Proceedings of the 28th ACM International Conference on Multimedia, 3789-3797, 2020
82020
Intelligent condition monitoring of railway catenary systems: A bayesian network approach
H Wang, A Núñez, R Dollevoet, Z Liu, J Chen
The Dynamics of Vehicles on Roads and Tracks, 663-668, 2017
82017
Rit-18: A novel dataset for compositional group activity understanding
J Chen, H Hao, H Hong, Y Kong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
42020
GateHUB: Gated History Unit with Background Suppression for Online Action Detection
J Chen, G Mittal, Y Yu, Y Kong, M Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
22022
Explainable video entailment with grounded visual evidence
J Chen, Y Kong
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021
12021
Supplementary: GateHUB: Gated History Unit with Background Suppression for Online Action Detection
J Chen, G Mittal, Y Yu, Y Kong, M Chen
RED 7, 45.3, 0
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