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Robert Pless, Associate Professor
of Computer Science and Engineering at Washington University. My
field of research is Computer Vision, specifically the
interpretation of video imagery for surveillance and medical
imaging. My current
projects include Passive
Vision for security and
Image Manifold
Learning for medical image analysis.
I co-founded the Media
and Machines lab with Cindy Grimm and Bill Smart. Our lab now
includes Tao Ju and
Burchan Bayazit.
Our
research focus is capturing, representing, rendering, and
interacting with models of natural 3D objects.
In Fall 2008, I am teaching Advanced Algorithms (CSE 441/541) Our lab is now recruiting both doctoral and post-doctoral students, in the areas of Medical Image Analysis, Video Surveillance and Tracking, and Human Computer Interaction. Graduate applicants should apply directly through the online application system, potential post-doc applicants should e-mail me directly with a link to their CV. |
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| CV |
Research Statement |
Teaching Philosophy
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| Selected Publications (Complete list available by clicking on "papers" above) |
| The first three papers work to make manifold learning effective with real sets of images: first, an exploration of the manifold structure of real video sequences, second, an extension of manifold learning to intersecting non-linear manifolds, and third, application to segmentation of MRI data. |
| - | Robert Pless. Using isomap to explore video sequences. ICCV, pp. 1433-1440, 2003 (pdf). |
| - | Richard Souvenir and Robert Pless. Manifold clustering. ICCV, pp. 648-653, 2005 (http). | - | Qilong Zhang, Richard Souvenir, and Robert Pless. Segmentation informed by manifold learning. EMMCVPR, LNCS Volume 3757, pp. 398-413, 2005 (pdf). |
| Next, three papers of a series that advocates collecting and interpreting statistics of spatio-temporal derivatives for a variety of video analysis tasks, including (1) characterizing coherent motion, (2) finding roads, and (3) detecting anomalies. |
| - | John Wright and Robert Pless. Analysis of persistent motion patterns using the 3d structure tensor. IEEE Motion Workshop, pp. 14-19, 2005 (pdf). |
| - | Robert Pless. Detecting roads in stabilized video with the spatio-temporal structure tensor. Geoinformatica, 10:1, 39-56, 2006. |
| - | Robert Pless, John Larson, Scott Siebers, and Ben Westover. Evaluation of local models of dynamic backgrounds. CVPR, pp. 73-78, 2003 (pdf). |
| A derivation of the structure from motion constraints for generalized cameras. |
| - | Robert Pless. Using many cameras as one. CVPR, II: 587-593, 2003 (pdf). |
| Finally, two papers of a series that uses graph approximation algorithms to address problems in wireless sensor networks. |
| - | Guoliang Xing, Xiaorui Wang, Yuanfang Zhang, Chenyang Lu, Robert Pless, and Chris Gill. Integrated coverage and connectivity configurations for energy conservation in sensor networks. IEEE Transactions on Sensor Networks, 1(1):36-72, 2005 (pdf). |
| - | Samir Khuller, Randeep Bhatia, and Robert Pless. On local search and placement of meters in networks. SIAM Journal on Computing, 32(2):470-487, 2003 (pdf). |
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Contact: 518 Lopata Hall, Washington University, St. Louis, MO 63130 [office 314-935-7546 | fax 314-935-7302] pless@cs.wustl.edu (s2000 counter: 11600.00) | St. Louis Mens Club Ultimate (Big River) |