Current Work
- New papers as ICASSP 2011 and ICCV 2011.
- Unsupervised Learning of Articulated Skeletons from
Motion
Publications
- A complete list of my publications at Google Scholar Citations.
- Survey and Evaluation of Audio Fingerprinting Schemes for Mobile
Query-by-Example Applications
Vijay Chandrasekhar, Matt Sharifi, David Ross. 12th International Society for Music Information Retrieval Conference (ISMIR 2011). [PDF] - The Power of Comparative
Reasoning
Jay Yagnik, Dennis Strelow, David Ross, Ruei-Sung Lin. ICCV 2011. [PDF] - Automatic Language Identification in Music Videos with Low
Level Audio and Visual Features
Vijay Chandrasekhar, Mehmet Emre Sargin, and David Ross. ICASSP 2011. [PDF] - SPEC Hashing: Similarity Preserving algorithm for
Entropy-based Coding
Ruei-Sung Lin, David Ross, and Jay Yagnik. CVPR 2010. [PDF] - Learning Articulated Structure and Motion
David Ross, Daniel Tarlow, and Richard Zemel. International Journal of Computer Vision, 88 (2), 2010. [PDF] project website - Learning Probabilistic Models for Visual Motion
David Ross, Ph.D. Thesis, University of Toronto, Canada, 2008. [PDF] videos - Unsupervised learning of skeletons from motion
David Ross, Daniel Tarlow, and Richard Zemel. 10th European Conference on Computer Vision (ECCV 2008), 2008. [PDF] project website - Learning stick-figure models using nonparametric Bayesian
priors over
trees
Edward Meeds, David Ross, Richard Zemel, and Sam Roweis. IEEE Conference on Computer Vision and Pattern Recognition, 2008. [PDF] - Learning Articulated Skeletons From Motion
David Ross, Daniel Tarlow, and Richard Zemel. Workshop on Dynamical Vision at ICCV, 2007. [PDF] project website - Incremental Learning for Robust Visual Tracking
David Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang.
In the International Journal of Computer Vision, Special Issue: Learning for Vision, 2008. [PS.GZ] [PDF] project website - Inducing Features from Visual Noise
Andrew Cohen, Richard Shiffrin, Jason Gold, David Ross, and Michael Ross. Journal of Vision, 7(8):15, 2007. [PDF] - Learning Parts-Based Representations of Data
David Ross and Richard Zemel. Journal of Machine Learning Research, 7(Nov):2369-2397, 2006. [PDF] project website - Combining Discriminative Features to Infer Complex
Trajectories
David Ross, Simon Osindero, and Richard Zemel. In Proceedings of the Twenty-Third International Conference on Machine Learning, 2006. [PS.GZ] [PDF] project website - Incremental Learning for Visual Tracking
Jongwoo Lim, David Ross, Ruei-Sung Lin, Ming-Hsuan Yang
In L. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17, MIT Press, 2005. [PS.GZ] [PDF] project website - Adaptive Discriminative Generative Model and Its
Applications
Ruei-Sung Lin, David Ross Jongwoo Lim, Ming-Hsuan Yang
In L. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17, MIT Press, 2005. [PS.GZ] [PDF] project website - Adaptive Probabilistic Visual Tracking with Incremental
Subspace Update
David Ross, Jongwoo Lim, Ming-Hsuan Yang
In T. Pajdla and J. Matas, editors, Proc. Eighth European Conference on Computer Vision (ECCV 2004), 2004. [PS.GZ] [PDF] project website - Multiple Cause Vector Quantization
David Ross and Richard Zemel
In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, MIT Press, 2003. [PS.GZ] [PDF] project website - Learning Parts-Based Representations of Data (thesis
version)
David Ross, University of Toronto, M.Sc. Thesis, 2003. [PS.GZ] [PDF] project website - Bibtex entries for all of the above are available here.
Code
- The source code for most of my research projects is available for download here. Included are Matlab implementations of a number of machine learning & computer vision algorithms, but there are also a few other hacks.
- Parallel Computing: Here is some code I've written/modified, as well as some getting-started tips for parallel computing using Matlab.
- Latest Update The code for the "Combining Discriminative Features" learning/tracking algorithm is now available. cdf_2007-07-13.zip
Other Stuff
- LaTeX Notes Here are a few tricks for making documents with LaTeX.
- Presentations on various papers, prepared for seminar classes.
- Pictures from my wedding,from my recent trip to Poland, Karolina's move to California, and on Flickr.