Qiang Zhang

Affiliations:
  • Samsung Electronic, Advanced Image Research Lab, Pasadena, CA, USA
  • Arizona State University, Department of Computer Science and Engineering, Tempe, AZ, USA (PhD 2014)


According to our database1, Qiang Zhang authored at least 18 papers between 2010 and 2016.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2016
Efficient unsupervised abnormal crowd activity detection based on a spatiotemporal saliency detector.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2015
Dictionary Learning in Visual Computing
Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02253-1, 2015

Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector.
CoRR, 2015

Structure-preserving Image Quality Assessment.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Instructive video retrieval for surgical skill coaching using attribute learning.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

2014
Semantic Sparse Learning in Images and Videos.
PhD thesis, 2014

Max-Margin Multiattribute Learning With Low-Rank Constraint.
IEEE Trans. Image Process., 2014

Predicting Multiple Attributes via Relative Multi-task Learning.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Image Cosegmentation via Multi-task Learning.
Proceedings of the British Machine Vision Conference, 2014

2013
Learning Skill-Defining Latent Space in Video-based Analysis of Surgical Expertise - A Multi-Stream Fusion Approach.
Proceedings of the Medicine Meets Virtual Reality 20 - NextMed, 2013

Video-based analysis of motion skills in simulation-based surgical training.
Proceedings of the Multimedia Content and Mobile Devices 2013, 2013

Relative Hidden Markov Models for Evaluating Motion Skill.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Mining discriminative components with low-rank and sparsity constraints for face recognition.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2010
Towards Computational Understanding of Skill Levels in Simulation-Based Surgical Training via Automatic Video Analysis.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Joint Sparsity Model with Matrix Completion for an ensemble of face images.
Proceedings of the International Conference on Image Processing, 2010

Synthesis of stereoscopic views from monocular endoscopic videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Discriminative K-SVD for dictionary learning in face recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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