Refereed Conference Papers

1. V. Cheung, N. Jojic, and D. Samaras.  Capturing Long-Range Correlations with Patch Models.  In Proc. IEEE Intern. Conf. Computer Vision and Pattern Recognition (CVPR), 2007
   [ PDF  |  Webpage and video demos ]

2. I. Givoni, V. Cheung, and B. J. Frey.  Matrix Tile Analysis.  In Proc. Uncertainty in Artificial Intelligence (UAI), 2006
   [ PDF ]

3. V. Cheung, B. J. Frey, and N. Jojic.  Video epitomes.  In Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2005.
   (Best paper honourable mention award)
   [ PDF  |  Webpage and video demos  |  Source code ]

4. W. Kinsner, V. Cheung, K. Cannons, J. Pear, and T. Martin.  Signal Classification through Multifractal Analysis and Complex Domain Neural Networks.  In Proc. IEEE Intern. Conf. Cognitive Informatics, August 2003.
   [ PDF ]

5. V. Cheung, K. Cannons, W. Kinsner, and J. Pear.  Signal Classification through Multifractal Analysis and Complex Domain Neural Networks.  In Proc. IEEE Canadian Conf. Elec. and Comp. Eng., May 2003.
   [ PDF ]

Journal Papers

1. F. J. Vizeacoumar, N. van Dyk, F. S. Vizeacoumar, V. Cheung, J. Li, Y. Sydorskyy, N. Case, Z. Li, A. Datti, C. Nislow, B. Raught, Z. Zhang, B. Frey, K. Bloom, C. Boone, and B. J. Andrews.  Integrating high-throughput genetic interaction mapping and high-content screening to explore yeast spindle morphogenesis.  The Journal of Cell Biology (JCB), Vol. 188, No. 1, January 2010.
   [ Html ]

2. V. Cheung, B. J. Frey, and N. Jojic.  Video epitomes.  Intern. Journal of Computer Vision (IJCV), Vol. 76, No. 2, February 2008.
   [ PDF ]

3. W. Kinsner, V. Cheung, K. Cannons, J. Pear, and T. Martin.  Signal Classification through Multifractal Analysis and Complex Domain Neural Networks.  IEEE Trans. on Systems, Man, and Cybernetics, Part C, Vol. 36, No. 2, March 2006.
   [ PDF ]

Technical Reports

1. V. Cheung, I. Givoni, D. Dueck, B. J. Frey.  Factorgrams: A tool for visualizing multi-way associations in biological data.  University of Toronto Technical Report PSI-2006-44, May 15, 2006.
   [ PDF ]

2. V. Cheung.  Efficiently Computing Distances in Patch-Based Models using the Shifted Cumulative Sum Algorithm.  University of Toronto Technical Report PSI-2004-22, April 19, 2004.
   

Ph.D. Thesis

• V. Cheung. Graphical Epitome Processing.  Ph.D. Thesis.  Dept. of Electrical and Computer Engineering, University of Toronto, Toronto, ON, 2013, 90 pp.
  [ PDF | Html ]

Undergraduate Thesis

• V. Cheung and K. Cannons. Signal Classification through Multifractal Analysis and Neural Networks.  BSc Thesis.  Dept. of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, 2003, 106 pp.
  [ PDF  |  Presentation PDF ]

Conference Talks

1. “Video Epitomes”, IEEE Intern. Conf. Computer Vision and Pattern Recognition (CVPR), San Diego, June 22, 2005.
   

2. “Signal Classification through Multifractal Analysis and Complex Domain Neural Networks”, IEEE Canadian Conf. Elec. and Comp. Eng., Montreal, May 5, 2003.
   [ PDF ]

Invited Talks

1. “Video Epitomes”

   1. University of Windsor, Sept. 22, 2006.

   2. Google Interns Lunch Talk Series, Mountain View, California, June 21, 2006.

   3. CIAR Neural Computation and Adaptive Perception Summer School, Toronto, July 14, 2005.

   4. University of Manitoba, May 13, 2005.

   5. The Learning Workshop, Snowbird, Utah, April 8, 2005.

2. “Modelling Motion Patterns with Video Epitomes”, Machine Learning Group Meeting, University of Toronto, Oct. 18, 2004.
   [ PowerPoint  |  PDF ]

3. “Learning the 'Epitome' of a Video Sequence”, Information Processing Workshop, Toronto, Aug. 11, 2004.
   [ PowerPoint  |  PDF ]

4. “An Introduction to Probabilistic Neural Networks”, Signal and Data Compression Laboratory Group Meeting, University of Manitoba, June 10, 2002.
   [ PDF ]

5. “An Introduction to Neural Networks”, Signal and Data Compression Laboratory Group Meeting, University of Manitoba, May 27, 2002.
   [ PDF ]