Tim Kalman Marks
 
Postdoctoral Researcher
UCSD Computer Science and Engineering Dept.
 
email: tkmarks [at] cs [dot] ucsd [dot] edu
Tim Marks - photo

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Research Interests

My research interests lie primarily in developing and applying statistical models for machine learning to problems in vision, both in order to solve problems in computer vision and in order to better understand human vision.

Curriculum Vitae

Education

Postdoctoral 
Research
University of California San Diego, Computer Science and Engineering Dept., and
Jet Propulsion Laboratory (NASA/Caltech), Computer Vision Group
2006–08
  • Working at UCSD as part of the JPL team on a DARPA robotics program, Learning Applied to Ground Robots (LAGR)
  • Mentors: Garrison Cottrell (UCSD), Larry Matthies and Andrew Howard (JPL).
Ph.D. University of California San Diego, Cognitive Science Dept. Jan. 2006
Dissertation: Facing Uncertainty: 3D Face Tracking and Learning with Generative Models
  
Committee:   Javier Movellan and James Hollan (Co-Chairs), Virginia de Sa, Marty Sereno, Terrence Sejnowski, Garrison Cottrell, and Geoffrey Hinton.
Visiting
Student
Gatsby Computational Neuroscience Unit at University College London Spring 2001–
Winter 2002
M.S. University of California San Diego, Cognitive Science Dept. 2001
Thesis:   ICA Provides New Insights into ERP Data: Face Processing in Williams Syndrome
Teacher
Certification
Harvard University, Graduate School of Education
  • Teacher certification, Secondary Physics and Mathematics
June 1991
A.B. Harvard University, Physics (with Honors) June 1991

Publications

Marks, T.K., Howard, A., Bajracharya, M., Cottrell, G.W., and Matthies, L. (2008). Gamma-SLAM: Using Stereo Vision and Variance Grid Maps for SLAM in Unstructured Environments. IEEE International Conference on Robotics and Automation (ICRA 2008). pdf  demo movie (mp4)

Tong, M.H., Marks, T.K., Zhang, L., Shan, H., and Cottrell, G.W. (2008). SUN: A Bayesian Framework for Saliency Using Natural Statistics. Computational and Systems Neuroscience (COSYNE 08). [Abstract & Poster]

Marks, T.K., Howard, A., Bajracharya, M., Cottrell, G.W., and Matthies, L. (2007). Gamma-SLAM: Stereo Visual SLAM in Unstructured Environments Using Variance Grid Maps. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007), Workshop on Visual SLAM. [Invited Paper] pdf

Barrington, L., Marks, T.K., and Cottrell, G.W. (2007). NIMBLE: a Kernel Density Model of Saccade-Based Visual Memory. In Proceedings of the 29th Annual Cognitive Science Society Meeting. pdf

Marks, T.K. (2006). Facing Uncertainty: 3D Face Tracking and Learning with Generative Models. Ph.D. Dissertation, University of California San Diego, Dept. of Cognitive Science. pdf

Marks, T.K., Hershey, J., Roddey, J.C., and Movellan, J.R. (2005). Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters. Neural Information Processing Systems 17 (NIPS 2004). pdf

Marks, T.K., Hershey, J., Roddey, J.C., and Movellan, J.R. (2004). 3D Tracking of Morphable Objects Using Conditionally Gaussian Nonlinear Filters. IEEE Conf. Computer Vision and Pattern Recognition (CVPR 2004), Generative Model-Based Vision (GMBV) Workshop.

Marks, T.K., Roddey, J.C., Hershey, J., and Movellan, J.R. (2004). Determining 3D Face Structure from Video Images using G-Flow. Neural Information Processing Systems 16 (NIPS 2003). [Demo & Poster]

Marks, T.K., Roddey, J.C., Hershey, J., and Movellan, J.R. (2003). G-Flow: a generative framework for nonrigid 3D tracking. Proceedings of 10th Joint Symposium on Neural Computation.

Marks, T.K. and Movellan, J.R. (2001). Diffusion Networks, Product of Experts, and Factor Analysis. Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation. pdf

Fasel, I.R. and Marks, T.K. (2001). Smile and wave: A Comparison of Gabor Representations for Facial Expression Recognition. 8th Joint Symposium on Neural Computation. [Abstract & Poster]

Marks, T.K., Mills, D.L., Westerfield, M., Makeig, S., Jung, T.P., Bellugi, U., and Sejnowski, T.J. (2000). Face Processing in Williams Syndrome: Using ICA to Discriminate Functionally Distinct Independent Components of ERPs in Face Recognition. Proceedings of 7th Joint Symposium on Neural Computation, pp. 55–63. pdf

Marks, T.K. (1992). Focus on Fractals. The Science Teacher (journal of the National Science Teachers Association), March 1992, cover article.

Marks, T.K. (1992). Measuring Coast to Coast: Fun with Fractals. Consortium (journal of the Consortium for Mathematics and its Applications), Spring 1992.

Pommersheim, J., Marks, T.K., and Flapan, E. (January 2009 publication). Number Theory: A Mathemythical Approach, Key College Publishing.

Demo Videos

GammaSLAM: Simultaneous Localization and Mapping in unstructured outdoor environments using stereo vision
G-flow face tracking: From single-camera video, simultaneously infer the 3D rigid pose, nonrigid pose (e.g., facial expressions), and appearance (texture) model.

Tutorials