Jun Yang

Affiliations:
  • University of New South Wales, AustraliaNational ICT Australia, Sydney, NSW, Australia


According to our database1, Jun Yang authored at least 11 papers between 2009 and 2011.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2011
Feature fusion for vehicle detection and tracking with low-angle cameras.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Saliency detection based on proto-objects and topic model.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

2010
Vehicle detection and tracking with low-angle cameras.
Proceedings of the International Conference on Image Processing, 2010

Saliency based joint topic discovery for object categorization.
Proceedings of the International Conference on Image Processing, 2010

Affinity Propagation Feature Clustering with Application to Vehicle Detection and Tracking in Road Traffic Surveillance.
Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

Spatial-Temporal Affinity Propagation for Feature Clustering with Application to Traffic Video Analysis.
Proceedings of the Computer Vision - ACCV 2010, 2010

Online Learning for PLSA-Based Visual Recognition.
Proceedings of the Computer Vision - ACCV 2010, 2010

Unsupervised Moving Object Detection with On-line Generalized Hough Transform.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Informative frequent assembled feature for face detection.
Proceedings of the International Conference on Image Processing, 2009

Feature clustering for vehicle detection and tracking in road traffic surveillance.
Proceedings of the International Conference on Image Processing, 2009

Incremental EM for Probabilistic Latent Semantic Analysis on Human Action Recognition.
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009


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