Limin Wang
Title
Cited by
Cited by
Year
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
16342016
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
9772015
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
6072016
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
3652017
Towards good practices for very deep two-stream convnets
L Wang, Y Xiong, Z Wang, Y Qiao
arXiv preprint arXiv:1507.02159, 2015
3332015
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
2612016
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
2082017
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
1982013
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
1742014
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
1502018
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
1462012
Action recognition and detection by combining motion and appearance features
L Wang, Y Qiao, X Tang
THUMOS14 Action Recognition Challenge, 1-6, 2014
1422014
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
1402019
Video action detection with relational dynamic-poselets
L Wang, Y Qiao, X Tang
European Conference on Computer Vision (ECCV), 565-580, 2014
1182014
MoFAP: A multi-level representation for action recognition
L Wang, Y Qiao, X Tang
International Journal of Computer Vision 119 (3), 254-271, 2016
1102016
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
1012014
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
892017
Places205-VGGNet models for scene recognition
L Wang, S Guo, W Huang, Y Qiao
arXiv preprint arXiv:1508.01667, 2015
852015
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
832013
A pursuit of temporal accuracy in general activity detection
Y Xiong, Y Zhao, L Wang, D Lin, X Tang
arXiv preprint arXiv:1703.02716, 2017
752017
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