Prati
Yan Song
Yan Song
TRU
Nema potvrđene e-adrese
Naslov
Citirano
Citirano
Godina
Inception single shot multibox detector for object detection
C Ning, H Zhou, Y Song, J Tang
2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017
1592017
Expansion-squeeze-excitation fusion network for elderly activity recognition
X Shu, J Yang, R Yan, Y Song
IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5281-5292, 2022
862022
A novel image text extraction method based on k-means clustering
Y Song, A Liu, L Pang, S Lin, Y Zhang, S Tang
Seventh IEEE/ACIS International Conference on Computer and Information …, 2008
652008
Body surface context: A new robust feature for action recognition from depth videos
Y Song, J Tang, F Liu, S Yan
IEEE transactions on circuits and systems for video technology 24 (6), 952-964, 2014
642014
Localized multiple kernel learning for realistic human action recognition in videos
Y Song, YT Zheng, S Tang, X Zhou, Y Zhang, S Lin, TS Chua
IEEE Transactions on Circuits and Systems for Video Technology 21 (9), 1193-1202, 2011
422011
Concurrence-aware long short-term sub-memories for person-person action recognition
X Shu, J Tang, GJ Qi, Y Song, Z Li, L Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
362017
Describing trajectory of surface patch for human action recognition on RGB and depth videos
Y Song, S Liu, J Tang
IEEE Signal Processing Letters 22 (4), 426-429, 2014
352014
X-invariant contrastive augmentation and representation learning for semi-supervised skeleton-based action recognition
B Xu, X Shu, Y Song
IEEE Transactions on Image Processing 31, 3852-3867, 2022
252022
Local structure-based sparse representation for face recognition
F Liu, J Tang, Y Song, L Zhang, Z Tang
ACM Transactions on Intelligent Systems and Technology (TIST) 7 (1), 1-20, 2015
222015
An innovative model of tempo and its application in action scene detection for movie analysis
A Liu, J Li, Y Zhang, S Tang, Y Song, Z Yang
2008 IEEE Workshop on Applications of Computer Vision, 1-6, 2008
172008
Human attention model for action movie analysis
A Liu, J Li, Y Zhang, S Tang, Y Song, Z Yang
2007 2nd International Conference on Pervasive Computing and Applications …, 2007
122007
Local structure based sparse representation for face recognition with single sample per person
F Liu, J Tang, Y Song, X Xiang, Z Tang
2014 IEEE International Conference on Image Processing (ICIP), 713-717, 2014
112014
Human attention model for semantic scene analysis in movies
A Liu, Y Zhang, Y Song, D Zhang, J Li, Z Yang
2008 IEEE International Conference on Multimedia and Expo, 1473-1476, 2008
112008
Skip-attention encoder–decoder framework for human motion prediction
R Zhang, X Shu, R Yan, J Zhang, Y Song
Multimedia Systems, 1-10, 2022
72022
Towards integration of domain knowledge-guided feature engineering and deep feature learning in surface electromyography-based hand movement recognition
W Wei, X Hu, H Liu, M Zhou, Y Song
Computational Intelligence and Neuroscience 2021, 2021
72021
Global and local C3D ensemble system for first person interactive action recognition
L Fa, Y Song, X Shu
MultiMedia Modeling: 24th International Conference, MMM 2018, Bangkok …, 2018
72018
A distribution based video representation for human action recognition
Y Song, S Tang, YT Zheng, TS Chua, Y Zhang, S Lin
2010 IEEE International Conference on Multimedia and Expo, 772-777, 2010
72010
A hierarchical framework for movie content analysis: Let computers watch films like humans
A Liu, S Tang, Y Zhang, Y Song, J Li, Z Yang
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
72008
Exploring probabilistic localized video representation for human action recognition
Y Song, S Tang, YT Zheng, TS Chua, Y Zhang, S Lin
Multimedia Tools and Applications 58, 663-685, 2012
62012
Combining RGB and depth features for action recognition based on sparse representation
Y Song, Y Lin
Proceedings of the 7th International Conference on Internet Multimedia …, 2015
52015
Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.
Članci 1–20