Tao Wang

Affiliations:
  • BAE Systems, Burlington, MA, USA
  • City University of New York, Department of Computer Science, USA


According to our database1, Tao Wang authored at least 11 papers between 2008 and 2014.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2014
Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance.
Sensors, 2014

Ground-Based Activity Recognition at Distance and behind Wall.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A multimodal temporal panorama approach for moving vehicle detection, reconstruction and classification.
Comput. Vis. Image Underst., 2013

Audio-Visual Feature Fusion for Vehicles Classification in a Surveillance System.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Real time moving vehicle detection and reconstruction for improving classification.
Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Multimodal and Multi-task Audio-Visual Vehicle Detection and Classification.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2011
Active stereo vision for improving long range hearing using a Laser Doppler Vibrometer.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Multimodal Temporal Panorama for Moving Vehicle Detection and Reconstruction.
Proceedings of the 2011 IEEE International Symposium on Multimedia, 2011

2009
A smart sensor with hyperspectral/range fovea and panoramic peripheral view.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Remote audio/video acquisition for human signature detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008
Intelligent multimodal and hyperspectral sensing for real-time moving target tracking.
Proceedings of the 37th IEEE Applied Imagery Pattern Recognition Workshop, 2008


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