Fred Tung

Bio

I am a postdoctoral fellow working with Greg Mori at Simon Fraser University. I received my PhD from the University of British Columbia under the supervision of Jim Little, and my MASc from the University of Waterloo under the supervision of David Clausi and John Zelek. My research interests include neural network compression, efficient large-scale search using binary codes, and nonparametric (exemplar-based) scene parsing.

ftung [at] sfu.ca

Teaching

Jan. 2016CPSC 425 Computer Vision (University of British Columbia)

Publications

The Raincouver scene parsing benchmark for self-driving in adverse weather and at night
F. Tung, J. Chen, L. Meng, and J.J. Little
IEEE Robotics and Automation Letters, in press
[pdf | project page]
Backtracking regression forests for accurate camera relocalization
L. Meng, J. Chen, F. Tung, J.J. Little, J. Valentin, and C.W. De Silva
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
[pdf, code]
MF3D: Model-free 3D semantic scene parsing
F. Tung and J.J. Little
IEEE International Conference on Robotics and Automation (ICRA), 2017
[pdf]
SSP: Supervised sparse projections for large-scale retrieval in high dimensions
F. Tung and J.J. Little
Asian Conference on Computer Vision (ACCV), 2016
[pdf | link | code]
Factorized binary codes for large-scale nearest neighbor search
F. Tung and J.J. Little
British Machine Vision Conference (BMVC), 2016
[pdf]
Exploiting random RGB and sparse features for camera pose estimation
L. Meng, J. Chen, F. Tung, J.J. Little, and C. De Silva
British Machine Vision Conference (BMVC), 2016
[pdf, data, code]
Scene parsing by nonparametric label transfer of content-adaptive windows
F. Tung and J.J. Little
Computer Vision and Image Understanding (CVIU), vol. 143, pp. 191-200, 2016
[pdf | link]
Improving scene attribute recognition using web-scale object detectors
F. Tung and J.J. Little
Computer Vision and Image Understanding (CVIU), vol. 138, pp. 86-91, 2015
[pdf | link]
Bank of quantization models: A data-specific approach to learning binary codes for large-scale retrieval applications
F. Tung, J. Martinez, H.H. Hoos, and J.J. Little
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
[pdf | link]
CollageParsing: Nonparametric scene parsing by adaptive overlapping windows
F. Tung and J.J. Little
European Conference on Computer Vision (ECCV), 2014
[pdf | link]
Improving scene attribute recognition using web-scale object detectors
F. Tung and J.J. Little
International Workshop on Parts and Attributes (at ECCV), 2014
Polynomial self-similarity for object classification
F. Tung and A. Wong
IEEE International Conference on Multimedia and Expo, short papers track, 2013
A decoupled approach to illumination-robust optical flow estimation
A. Kumar, F. Tung, A. Wong, and D.A. Clausi
IEEE Transactions on Image Processing, vol. 22, no. 10, pp. 4136-4147, 2013
Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance
F. Tung, J.S. Zelek, and D.A. Clausi
Image and Vision Computing, vol. 29, pp. 230-240, 2011
Enabling scalable spectral clustering for image segmentation
F. Tung, A. Wong, and D.A. Clausi
Pattern Recognition, vol. 43, pp. 4069-4076, 2010
Efficient target recovery using STAGE for mean-shift tracking
F. Tung, J.S. Zelek, and D.A. Clausi
Canadian Conference on Computer and Robot Vision, 2009