T-LSTM: A long short-term memory neural network enhanced by temporal information for traffic flow prediction L Mou, P Zhao, H Xie, Y Chen Ieee Access 7, 98053-98060, 2019 | 69 | 2019 |
Driver stress detection via multimodal fusion using attention-based CNN-LSTM L Mou, C Zhou, P Zhao, B Nakisa, MN Rastgoo, R Jain, W Gao Expert Systems with Applications 173, 114693, 2021 | 65 | 2021 |
Pathological visual question answering X He, Z Cai, W Wei, Y Zhang, L Mou, E Xing, P Xie arXiv preprint arXiv:2010.12435, 2020 | 59 | 2020 |
A multimodal video copy detection approach with sequential pyramid matching Y Tian, M Jiang, L Mou, X Fang, T Huang 2011 18th IEEE International Conference on Image Processing, 3629-3632, 2011 | 30 | 2011 |
Deep determinantal point process for large-scale multi-label classification P Xie, R Salakhutdinov, L Mou, EP Xing Proceedings of the IEEE International Conference on Computer Vision, 473-482, 2017 | 28 | 2017 |
Content-based copy detection through multimodal feature representation and temporal pyramid matching L Mou, T Huang, Y Tian, M Jiang, W Gao ACM Transactions on Multimedia Computing, Communications, and Applications …, 2013 | 22 | 2013 |
A DRM architecture for manageable P2P based IPTV system X Liu, T Huang, L Huo, L Mou 2007 IEEE International Conference on Multimedia and Expo, 899-902, 2007 | 22 | 2007 |
Towards Visual Question Answering on Pathology Images. X He Proceedings of the 59th annual meeting of the association for computational …, 2021 | 15 | 2021 |
A secure media streaming mechanism combining encryption, authentication, and transcoding L Mou, T Huang, L Huo, W Li, W Gao, X Chen Signal Processing: Image Communication 24 (10), 825-833, 2009 | 15 | 2009 |
[email protected] TRECVid 2010: copy detection with visual-audio feature fusion and sequential pyramid matching Y Li, L Mou, M Jiang, C Su, X Fang, M Qian, Y Tian, Y Wang, T Huang, ... online] wwwnlpir. nist. gov/projects/tvpubs/tv. pubs. org. html, 2010 | 11 | 2010 |
Isotropic self-supervised learning for driver drowsiness detection with attention-based multimodal fusion L Mou, C Zhou, P Xie, P Zhao, RC Jain, W Gao, B Yin IEEE Transactions on Multimedia, 2021 | 9 | 2021 |
Vision‐based vehicle behaviour analysis: a structured learning approach via convolutional neural networks L Mou, H Xie, S Mao, P Zhao, Y Chen IET Intelligent Transport Systems 14 (7), 792-801, 2020 | 9 | 2020 |
Structured behaviour prediction of on‐road vehicles via deep forest L Mou, S Mao, H Xie, Y Chen Electronics Letters 55 (8), 452-455, 2019 | 8 | 2019 |
Short-term traffic flow prediction: A long short-term memory model enhanced by temporal information L Mou, P Zhao, Y Chen CICTP 2019, 2411-2422, 2019 | 6 | 2019 |
Video picture-in-picture detection using spatio-temporal slicing M Qian, L Mou, J Li, Y Tian 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2014 | 4 | 2014 |
Robust and discriminative image authentication based on standard model feature L Mou, X Chen, Y Tian, T Huang 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 1131-1134, 2012 | 4 | 2012 |
Overview of IEEE 1857.3: Systems of advanced audio and video coding L Mou, X Chen, T Huang, W Gao 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-4, 2014 | 2 | 2014 |
MPLBoost-based mixture model for effective human detection with Deformable Part Model C Gu, L Mou, Y Tian, T Huang 2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013 | 2 | 2013 |
Robust and discriminative image authentication based on sparse coding L Mou, T Huang, Y Tian, S Lian, X Chen 2011 IEEE Consumer Communications and Networking Conference (CCNC), 323-326, 2011 | 2 | 2011 |
Driver Emotion Recognition with a Hybrid Attentional Multimodal Fusion Framework L Mou, Y Zhao, C Zhou, B Nakisa, MN Rastgoo, L Ma, T Huang, B Yin, ... IEEE Transactions on Affective Computing, 2023 | 1 | 2023 |