Di Wu

According to our database, Di Wu authored at least 16 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

End-to-End 6DoF Pose Estimation From Monocular RGB Images.

Wenbin Zou, Di Wu, Shishun Tian, Canqun Xiang, Xia Li, Lu Zhang

IEEE Trans. Consumer Electron., 2021

2019

6D-VNet: End-to-End 6-DoF Vehicle Pose Estimation From Monocular RGB Images.

Di Wu, Zhaoyong Zhuang, Canqun Xiang, Wenbin Zou, Xia Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

Multi-modal metric learning for vehicle re-identification in traffic surveillance environment.

Yi Tang, Di Wu, Zhi Jin, Wenbin Zou, Xia Li

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Kernalised Multi-resolution Convnet for Visual Tracking.

Di Wu, Wenbin Zou, Xia Li, Yong Zhao

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition.

Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam Do-Hoang Le, Ling Shao, Joni Dambre, Jean-Marc Odobez

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Temporally subsampled detection for accurate and efficient face tracking and diarization.

Nam Le, Alexandre Heili, Di Wu, Jean-Marc Odobez

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

EUMSSI team at the MediaEval Person Discovery Challenge.

Nam Do-Hoang Le, Di Wu, Sylvain Meignier, Jean-Marc Odobez

Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

2014

Learning Deep and Wide: A Spectral Method for Learning Deep Networks.

Ling Shao, Di Wu, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2014

Multi-Max-Margin Support Vector Machine for multi-source human action recognition.

Di Wu, Ling Shao

Neurocomputing, 2014

Multimodal Dynamic Networks for Gesture Recognition.

Di Wu, Ling Shao

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Deep Dynamic Neural Networks for Gesture Segmentation and Recognition.

Di Wu, Ling Shao

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition.

Di Wu, Ling Shao

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Silhouette Analysis-Based Action Recognition Via Exploiting Human Poses.

Di Wu, Ling Shao

IEEE Trans. Circuits Syst. Video Technol., 2013

2012

One shot learning gesture recognition with Kinect sensor.

Di Wu, Fan Zhu, Ling Shao, Hui Zhang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

One shot learning gesture recognition from RGBD images.

Di Wu, Fan Zhu, Ling Shao

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011

Action recognition using Correlogram of Body Poses and spectral regression.

Ling Shao, Di Wu, Xiuli Chen

Proceedings of the 18th IEEE International Conference on Image Processing, 2011