Limin Wang
TitleCited byYear
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
11282016
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
8192015
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
5172016
Towards good practices for very deep two-stream convnets
L Wang, Y Xiong, Z Wang, Y Qiao
arXiv preprint arXiv:1507.02159, 2015
2602015
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
2242017
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
2152016
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
1862013
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
1532014
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
1372017
A comparative study of encoding, pooling and normalization methods for action recognition
X Wang, L Wang, Y Qiao
Asian Conference on Computer Vision (ACCV), 572-585, 2012
1322012
Action recognition and detection by combining motion and appearance features
L Wang, Y Qiao, X Tang
THUMOS14 Action Recognition Challenge, 1-6, 2014
1122014
Video action detection with relational dynamic-poselets
L Wang, Y Qiao, X Tang
European Conference on Computer Vision (ECCV), 565-580, 2014
1042014
MoFAP: A multi-level representation for action recognition
L Wang, Y Qiao, X Tang
International Journal of Computer Vision 119 (3), 254-271, 2016
942016
Latent hierarchical model of temporal structure for complex activity classification
L Wang, Y Qiao, X Tang
IEEE Transactions on Image Processing 23 (2), 810-822, 2014
922014
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
842018
Mining motion atoms and phrases for complex action recognition
L Wang, Y Qiao, X Tang
Proceedings of the IEEE international conference on computer vision, 2680-2687, 2013
812013
Boosting VLAD with supervised dictionary learning and high-order statistics
X Peng, L Wang, Y Qiao, Q Peng
European Conference on Computer Vision (ECCV), 660-674, 2014
682014
Places205-VGGNet models for scene recognition
L Wang, S Guo, W Huang, Y Qiao
arXiv preprint arXiv:1508.01667, 2015
672015
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
642019
Knowledge guided disambiguation for large-scale scene classification with multi-resolution CNNs
L Wang, S Guo, W Huang, Y Xiong, Y Qiao
IEEE Transactions on Image Processing 26 (4), 2055-2068, 2017
622017
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Articles 1–20