Research

Courses

Comp. Perception & Action Lab

Students

 schrater

 

Paul R. Schrater

Assistant Professor,

Psychology & Computer Science


N218 Elliott Hall
75 E. River Rd.
Minneapolis, MN 55455
Phone: (612) 626-8638
FAX: 612-626-2079
schrater AT umn DOT edu
 


Biography

I hold a joint faculty position at the University of Minnesota, in the departments of Psychology and Computer Science. My current research interests generally involve using probabilistic methods to study issues in perception and motor control.  I am particularly interested 

I received my Ph.D. from the Department of Neuroscience of the University of Pennsylvania, under David Knill, then of the Department of Psychology and Eero Simoncelli in the GRASP Laboratory who at that time had a primary appointment in the Department of Computer Science at Penn. My dissertation involved a psychophysical and ideal observer analysis of local motion processing.

Lab

The Computational Perception and Action Laboratory is located in the basement of Elliott Hall.  The laboratory is equipped with a Visuo-Haptic workbench to test visuo-motor behavior with virtual objects, and an adjustable reach laboratory to study reaching behavior with actual objects.   We move objects in the reach lab using a robot arm, acquired through RobotWorx' industrial robot donation program :

Robots.com

Publications by Topic



Vision and Motor
Control
  • Battaglia, P.W.,  and Schrater, P. (2007)  Humans trade off viewing time and movement duration to minimize visuomotor variability in a fast reaching task.  Journal of Neuroscience LINK
  • Schlicht, E., Schrater, P. (2007). Impact of coordinate transformation uncertainty on human sensorimotor control. Journal of Neurophysiology.  LINK
  • Schlicht, E., Schrater, P. (2007). Reach-to-grasp trajectories adjust for uncertainty in the location of visual targets, Experimental Brain Research.  LINK
  • Schlicht, E.J., & Schrater, P.R.  Planning for uncertainty: Bayesian model for human reach and grasp.
  • Kallie, C., Schrater, P., Legge, G. (2006) Variability in stepping direction explains veering behavior of blind walkers.  JEP:HPP 33(1) 183–200. (PDF)
  • Battaglia, P. W., Schrater, P., & Kersten, D. (2005).  Auxiliary object knowledge influences visually-guided interception behavior.  Proc. 2nd Symp. APGV, pp. 145 - 152. (PDF)
  • Hartung, B., Schrater, P., Kersten, D., Bülthoff, H., Franz, V.H. (2005) Is prior knowledge of object geometry used in visually guided reaching? Journal of Vision, http://journalofvision.org/5/6/2.
Paul R. Schrater, Erik J. Schlicht  (2006) Internal models for object manipulation: Determining optimal contact locations.  Department of Computer Science, University of Minnesota, Tech Report 06-003.

Matoba, A. and Schrater, P. (2005) An Information-Theoretic Approach to Human Reach Path Analysis,  Computational Neural Systems 2005, Madison, WI.

Human Perception, Decision Theory and Human Behavior

Decision Making

  • Acuña, D. & Schrater, P. (2008). Structure Learning in Human Sequential Decision-Making. NIPS 2008 (In press) PDF
  • Acuña, D. & Schrater, P. (2008). Bayesian Modeling of Human Sequential Decision-Making on the Multi-Armed Bandit Problem. In V. Sloutsky, B. Love, & K. McRae (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Washington, DC: Cognitive Science Society. [Details]
  • Schrater, P. and Sundareswara, R. (2006) “Theory and Dynamics of Perceptual Bistability”, Proceedings NIPS*2006. PDF
  • Schrater, P., Sodomka, E., and Sloane, C. (2005). (POSTER) Decision Making with Monetary Value Uncertainty., Society for Judgment and Decision Making. (POSTER PDF)
  • Yuille, A. L., Fang, F., Schrater, P., & Kersten, D. (2004). Human and Ideal Observers for Detecting Image Curves. In S. Thrun, L. Saul & B. Schoelkopf (Eds.), NIPS*2004. (PDF)
  • Schrater, P.R. (2003). Bayesian data fusion and credit assignment in vision and fMRI data analysis. Proc. SPIE Electronic Imaging, 5016, 24-35. (PDF)
  • Schrater, P. R., and Kersten, D. (2000). How Optimal Depth Cue Integration Depends on the Task. International Journal of Computer Vision,  40(1): 71-89. PDF
  • Schrater, P. R., and Kersten, D. (2000). Vision, Psychophysics, and Bayes. In: (R. Rao, B. Olshausen, and M. Lewicki, Ed.) Statistical Theories of the Brain, MIT Press. (PDF)
Bistability
  • Sundareswara, R. and Schrater, P. (2007)  Dynamics of perceptual bistability,  Journal of Vision http://www.journalofvision.org/8/5/
  • Schrater, P. and Sundareswara, R. (2006) “Theory and Dynamics of Perceptual Bistability”, Proceedings NIPS*2006.  PDF
Motion Perception
  • Carlson, T. A., Schrater, P., & He, S. (2006). Floating square illusion: Perceptual uncoupling of static and dynamic objects in motion.  Journal of Vision, 6(2), 132-144, http://journalofvision.org/6/2/4/
  • Schrater, P.R., Knill, D.C., and Simoncelli, E.P. (2001). Perceiving visual expansion without optic flow. Nature, April, 12., 410, 816-819. PDF
  • Schrater, P.R., Knill, D.C., and Simoncelli, E.P. (2000). Mechanisms of visual motion detection. Nature Neuroscience, 3(1), 64-68. PDF
  • Schrater P R, and Simoncelli E P (1998) Local velocity representation: evidence from motion adaptation., Vision Research, 38, 3899-3912. PDF

Machine Vision/Learning

Christopoulos, V. and Schrater, P. Handling shape and contact uncertainty in grasping planar objects. To appear: International Conference on Intelligent Robots and Systems (IROS'07). PDF preprint

Tracking
  • Veeraraghavan, H., Schrater, P.,R., Papanikolopoulos, N. (2007) Learning Dynamic Event Descriptions in Image Sequences. IEEE Proceedings on Computer Vision and Pattern Recognition, June, 2007. (PDF preprint)
  • Veeraraghavan, Harini, Schrater, Paul and Papanikolopoulos, Nikos (2006). Robust Target Detection and Tracking through Integration of Motion, Color, and Geometry, Compuier Vision and Image Understanding, 103(2) 2006, 121-138. (PDF)
  • Veeraraghavan, H., Schrater, P.,R., Papanikolopoulos, N. (2006) Adaptive Geometric Templates for Feature Matching.  Proceedings 2006 IEEE International Conference on Robotics and Automation 2006 (ICRA-2006), May 15-19, 2006. pp. 3393-3398. (PDF)
  • Veeraraghavan, H., Schrater, P.,R., Papanikolopoulos, N. (2005) Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections: Proceedings of the 2005 IEEE International Symposium on Intelligent Control, pp. 1167-72. (PDF)
  • Veeraraghavan, H., Atev, S., Bird, N., Schrater, P, Papanikolopoulos, N. (2005).  Driver Activity Monitoring through Supervised and Unsupervised Learning. Proceedings 18th IEEE International Conference on Intelligent Transportation Systems, Sept. 17-20, 2006, pp. 1340-45. (PDF)
  • Veeraraghavan, H., Papanikolopoulos, N., Schrater, P. (2006) Deterministic sampling-based switching kalman filtering for vehicle tracking.  Proceedings 2006 IEEE Conference on Intelligent Transportation Systems Sept. 17-20, 2006. pp. 1340-1345.  (PDF)

Camera Calibration/Placement
  • Bodor, R., Drenner,  A., Janssen,  M., Schrater, P., and Papanikolopoulos, N. (2005), "Mobile Camera Positioning to Optimize the Observability of Human Activity Recognition Tasks",  2005 IEEE/RSJ International Conference on International Conference on Intelligent Robotics and Systems, 2-6 Aug. 2005, pp. 1564-1569. (PDF)
  • Bodor, R., Schrater, P., Papanikolopoulos, N.  (2005) Multi-Camera Positioning to Optimize Task Observability.  Proceedings, IEEE Conference on Advanced Video and Signal-Based Surveillance 2005, Sept. 15-16, 552-557. (PDF)
  • Sundareswara, R., and Schrater, P. R. (2005). Bayesian Modelling of Camera Calibration and Reconstruction. Fifth International Conference on 3-D Digital Imaging and Modeling, 2005, pp. 394- 401, Ottawa, Canada June 13 - June 16th 2005. (PDF)
Temporal sequence prediction/learning
  • W. Ketter, J. Collins, M. Gini, A. Gupta, and P.  Schrater (2008), “Detecting and Forecasting Economic Regimes in Automated Exchanges”, To Appear: Decision Support Systems. (TECH REPORT PREPRINT)
  • Ketter, W., Collins, J., Gini, M., Gupta, A., and Schrater, P. (2007). A Predictive Empirical Model for Pricing and Resource Allocation Decisions. In International Conference on Electronic Commerce, Minneapolis, MN, August 2007. (PDF)
  • Ketter, W., Collins, J., Gini, M., Gupta, A., and Schrater, P. (2006),  Strategic Sales Management Guided By Economic Regimes. In Eric van Heck et al., editors, Edited Volume of  the 2nd Small Business Network Initiative Discovery Event, Springer Verlag, 2006. (PDF)
  • Ketter, W., Collins, J., Gini, M., Gupta, A., and Schrater, P. (2005) A Computational Approach to Predicting Economic Regimes in Automated Exchanges,''  Fifteenth Annual Workshop on Information Technologies and Systems, pp. 147-152, Las Vegas, Nevada, USA, December 2005 (PDF)
  • Ketter, W., Collins, J., Gini, M., Gupta, A., and Schrater, P. (2005) Identifying and Forecasting Economic Regimes in TAC SCM, TADA-05, IJCAI-05 Workshop on Trading Agent Design and Analysis, pp. 53–60, Edinburgh, Scotland, Aug. 1, 2005. (PDF)
  • Steven Jensen, Daniel Boley, Maria Gini and Paul Schrater (2005), "Rapid on-line temporal sequence prediction by an adaptive agent", In Proceedings of the Fourth international Joint Conference on Autonomous Agents and Multiagent Systems (The Netherlands, July 25 - 29, 2005). AAMAS '05. ACM Press, New York, NY, 67-73. (PDF)
  • Steven Jensen, Daniel Boley, Maria Gini and Paul Schrater (2005),  "Non-stationary Policy Learning in 2-player Zero Sum Games" Non-stationary Policy Learning in 2-player Zero Sum Games. In Twentieth National Conf. on Artificial Intelligence, pp. 789–794, 2005. (PDF)

Brain Imaging

  • Olman, C. A., Ugurbil, K., Schrater, P., & Kersten, D. (2004). BOLD fMRI and psychophysical measurements of contrast response to broadband images. Vision Res, 44(7), 669-683. (PDF)
  • Murray, S., Schrater, P. and Kersten, D. (2004) Perceptual grouping and the interactions between visual cortical areas. Neural Networks, 17,  695-705. (PDF)
  • Carlson, Thomas A., Schrater, P.R., and He, Sheng (2002). Patterns of activation in the categorical representation of objects: A new perspective in functional imaging analysis.  Journal of Cognitive Neuroscience. 15(5): 704-717.  (LINK)
  • Murray, Scott, O., Kersten, D., Olshausen, B., Schrater, P., and Woods, D. (2002) Shape perception reduces activity in human primary visual cortex. Proc. Nat’l Acad. Sci., November 12, 2002, vol. 99 u no. 23, pp. 15164–15169. (LINK)
Tech Reports

Miscellaneous

Shekhar, S., Schrater, P.R., Vatsavai, R., Wu, W., and Chawla, S. (2002). Spatial Contextual Classification and Prediction Models for Mining Geospatial Data.  IEEE Transactions on Multimedia and Multimedia Database, 4(2),  174-188. (PDF)

Eeckhout, L., Sundareswara, R., Yiz, J., Lilja, D.J.  and Schrater, P. (2005). Accurate Statistical Approaches for Generating Representative Workload Compositions. Proceedings of the 2005 IEEE International Workload Characterization Symposium, pp. 56-66.  (PDF)

Sundareswara, R., and Schrater, P. R. (2003). Extensible Point Location Algorithm. Proceedings of 2003 International Conference on Geometrical Modeling and Graphics,  pp. 84-89, July 16-18, 2003 (PDF)




Courses

Fall 2007: CSCI 5521 Spring 2008: Psy 5018H,
Spring 2007: Psy 5018H, CSCI 5561
Fall 2005: CSCI 5521 Spring 2006: Psy 5018H,
Spring 2005: Psy 5018H, CSCI 5561
Spring 2004: Psy 5018H Mathematical Models of Human Behavior
Fall 2003: CSCI 5521 Pattern Recognition
Spring 2003: CSCI 5561 Computer Vision
Fall 2002: Special topics Introduction to Computational Psychology
Spring 2002: Special Topics Virtual Reality: Perception & Physics

Current Students

Peter Battaglia
Rashmi Sundareswara
Charles Benson
Daniel Acuña
Vassilios Christopoulos
Ryan McCabe
Steven Jensen
Amy Kalia
Chris Kallie

Former Students

Ph.D.
Thomas A. Carlson
Erik Schlicht
Harini Veeraraghavan
Wolf Ketter

M.S.
Evangelos Theodorou
Tony Scudiero
Akira Matoba

UGRD
Eric Sodomka
Erik Flister
Charles Sloane