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Limin Wang
Limin Wang
Nanjing University
Bestätigte E-Mail-Adresse bei nju.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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 (ECCV), 20-36, 2016
39322016
Action recognition with trajectory-pooled deep-convolutional descriptors
L Wang, Y Qiao, X Tang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4305-4314, 2015
38202015
Temporal action detection with structured segment networks
Y Zhao, Y Xiong, L Wang, Z Wu, X Tang, D Lin
International Conference on Computer Vision (ICCV), 2914-2923, 2017
9272017
Bag of visual words and fusion methods for action recognition: comprehensive study and good practice
X Peng, L Wang, X Wang, Y Qiao
Computer Vision and Image Understanding (CVIU) 150, 109－125, 2016
8202016
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 …, 2019
6712019
Towards good practices for very deep two-stream convnets
L Wang, Y Xiong, Z Wang, Y Qiao
arXiv preprint arXiv:1507.02159, 2015
5412015
UntrimmedNets for weakly supervised action recognition and detection
L Wang, Y Xiong, D Lin, L Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4325－4334, 2017
5402017
Real-time action recognition with enhanced motion vector CNNs
B Zhang, L Wang, Z Wang, Y Qiao, H Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2718-2726, 2016
4752016
TEA: Temporal Excitation and Aggregation for Action Recognition
Y Li, B Ji, X Shi, J Zhang, B Kang, L Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 906-915, 2020
4052020
Appearance-and-Relation Networks for Video Classification
L Wang, W Li, W Li, L Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1430-1439, 2018
3652018
WebVision Database: Visual Learning and Understanding from Web Data
W Li, L Wang, W Li, E Agustsson, L Van Gool
arXiv preprint arXiv:1708.02862, 2017
3362017
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Z Tong, Y Song, J Wang, L Wang
36th Conference on Neural Information Processing Systems (NeurIPS), 2022
3092022
TDN: Temporal Difference Networks for Efficient Action Recognition
L Wang, Z Tong, B Ji, G Wu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
2592021
Multi-view super vector for action recognition
Z Cai, L Wang, X Peng, Y Qiao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 596 - 603, 2014
2432014
Motionlets: mid-level 3D parts for human motion recognition
L Wang, Y Qiao, X Tang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2674-2681, 2013
2282013
Learning actor relation graphs for group activity recognition
J Wu, L Wang, L Wang, J Guo, G Wu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9964-9974, 2019
2242019
Action recognition and detection by combining motion and appearance features
L Wang, Y Qiao, X Tang
THUMOS14 Action Recognition Challenge, 1-6, 2014
2032014
TEINet: Towards an Efficient Architecture for Video Recognition
Z Liu, D Luo, Y Wang, L Wang, Y Tai, C Wang, J Li, F Huang, T Lu
AAAI Conference on Artificial Intelligence (AAAI), 2020
1922020
TAM: Temporal Adaptive Module for Video Recognition
Z Liu, L Wang, W Wu, C Qian, T Lu
IEEE/CVF Iternational Conference on Computer Vision (ICCV), 2021
1892021
Places205-VGGNet models for scene recognition
L Wang, S Guo, W Huang, Y Qiao
arXiv preprint arXiv:1508.01667, 2015
1832015
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