Deep dynamic neural networks for multimodal gesture segmentation and recognition D Wu, L Pigou, PJ Kindermans, NDH Le, L Shao, J Dambre, JM Odobez IEEE transactions on pattern analysis and machine intelligence 38 (8), 1583-1597, 2016 | 576 | 2016 |
Leveraging hierarchical parametric networks for skeletal joints based action segmentation and recognition D Wu, L Shao Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 254 | 2014 |
One shot learning gesture recognition from rgbd images D Wu, F Zhu, L Shao 2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012 | 186 | 2012 |
Learning deep and wide: A spectral method for learning deep networks L Shao, D Wu, X Li IEEE Transactions on Neural Networks and Learning Systems 25 (12), 2303-2308, 2014 | 165 | 2014 |
Silhouette analysis-based action recognition via exploiting human poses D Wu, L Shao IEEE Transactions on Circuits and Systems for Video Technology 23 (2), 236-243, 2012 | 111 | 2012 |
6d-vnet: End-to-end 6-dof vehicle pose estimation from monocular rgb images D Wu, Z Zhuang, C Xiang, W Zou, X Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 51 | 2019 |
Multi-modal metric learning for vehicle re-identification in traffic surveillance environment Y Tang, D Wu, Z Jin, W Zou, X Li 2017 IEEE International Conference on Image Processing (ICIP), 2254-2258, 2017 | 40 | 2017 |
Action recognition using correlogram of body poses and spectral regression L Shao, D Wu, X Chen 2011 18th IEEE International Conference on Image Processing, 209-212, 2011 | 28 | 2011 |
Multi-modality gesture detection and recognition with un-supervision, randomization and discrimination G Chen, D Clarke, M Giuliani, A Gaschler, D Wu, D Weikersdorfer, A Knoll European Conference on Computer Vision, 608-622, 2014 | 23 | 2014 |
End-to-end 6DoF pose estimation from monocular RGB images W Zou, D Wu, S Tian, C Xiang, X Li, L Zhang IEEE Transactions on Consumer Electronics 67 (1), 87-96, 2021 | 21 | 2021 |
Multimodal dynamic networks for gesture recognition D Wu, L Shao Proceedings of the 22nd ACM international conference on Multimedia, 945-948, 2014 | 18 | 2014 |
Multi-max-margin support vector machine for multi-source human action recognition D Wu, L Shao Neurocomputing 127, 98-103, 2014 | 17 | 2014 |
Eumssi team at the mediaeval person discovery challenge N Le, D Wu, S Meignier, JM Odobez MediaEval 2015, 2015 | 11 | 2015 |
Temporally subsampled detection for accurate and efficient face tracking and diarization N Le, A Heili, D Wu, JM Odobez 2016 23rd International Conference on Pattern Recognition (ICPR), 1792-1797, 2016 | 9 | 2016 |
Human action recognition using deep probabilistic graphical models D Wu University of Sheffield, 2014 | 6 | 2014 |
Kernalised Multi-resolution Convnet for Visual Tracking D Wu, W Zou, X L, Y Zhao Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 | 5 | 2017 |
Efficient and Accurate Tracking for Face Diarization via Periodical Detection N Le, A Heili, D Wu, JM Odobez International Conference on Pattern Recognition, 2016 | 4 | 2016 |
One shot learning gesture recognition with Kinect sensor D Wu, F Zhu, L Shao, H Zhang Proceedings of the 20th ACM international conference on Multimedia, 1303-1304, 2012 | 4 | 2012 |
Neural mesh refiner for 6-dof pose estimation D Wu, Y Chen, X Qi, Y Yu, W Chen, R Xiao arXiv preprint arXiv:2003.07561, 2020 | 3 | 2020 |