philippos
Philippos Mordohai
Assistant Professor
Department of Computer Science
Stevens Institute of Technology

Office: Lieb 215
Phone Number: +1 201 216 5611
E-mail: mordohai_at_cs.stevens.edu




Home

Research

Publications

Teaching

Service, Awards and
Other Activities


CV (pdf)

PUBLICATIONS

Dissertations and Book
Journal Papers
Refereed Conference and Workshop Papers
Refereed Abstracts
  • C. Freundlich, P. Mordohai and M. M. Zavlanos, "A Hybrid Control Approach to the Next-Best-View Problem using Stereo Vision", International Workshop on Hybrid Systems: Computation and Control, Philadelphia, PA, 2013.
  • P. Mordohai, O. Dor, J. Zechar, C.G. Sammis. and Y. Ben-Zion, "Slip Surfaces in Fault Breccia From the Sierra Madre Fault Zone: Geometry and Mechanical Implications", American Geophysical Union, EOS, 2003.
  • O. Dor, P. Mordohai, C.G. Sammis. and Y. Ben-Zion, "Slip Surfaces in Fault Breccia From the Sierra Madre Fault Zone: Geometry and Mechanical Implications", SECE, Proceedings and Abstracts, 2003.

Book Chapters
  • P. Mordohai and G. Medioni, "Manifold Learning", in Encyclopedia of Biometrics, Stan Z. Li (editor), Springer, 2009.
  • G. Medioni and P. Mordohai, "Saliency in Computer Vision", in Neurobiology of Attention, L. Itti, G. Rees, and J. Tsotsos (editors), Elsevier Science, 2005.
  • G. Medioni, P. Mordohai,and M. Nicolescu, "The Tensor Voting Framework", in Handbook of Geometric Computing : Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics, E. Bayro-Corrochano (editor), Springer-Verlag, 2005.
  • G. Medioni and P. Mordohai, "The Tensor Voting Framework", in Emerging Topics in Computer Vision, S.B. Kang and G. Medioni (editors), Prentice Hall, 2004.

Invited Paper
  • A. Akbarzadeh, J.-M. Frahm, P. Mordohai, B. Clipp, C. Engels, D. Gallup, P. Merrell, M. Phelps, S. Sinha, B. Talton, L. Wang, Q. Yang, H. Stewénius, R. Yang, G. Welch, H. Towles, D. Nistér and M. Pollefeys, "Towards Urban 3D Reconstruction From Video", Third International Symposium on 3-D Data Processing, Visualization and Transmission, Chapel Hill, North Carolina, USA, June 2006.
SHORT COURSE
  • P. Mordohai, "Tensor Voting: A Perceptual Organization Approach for Computer Vision and Machine Learning", during the IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA, June 2007.
    The slides are available here in ppt and pdf form. References to related work can also be downloaded as ppt and pdf.
PATENT
  • G. Medioni and P. Mordohai, "Tensor voting in N dimensional spaces", United States Patent 7,953,675. Awarded, May 31, 2011.
INVITED TALKS
  • "Leveraging Uncertainty Estimates to Improve 3D Reconstruction", Department of Computer Science, Duke University, hosted by Carlo Tomasi, January 2014.
  • "Leveraging Uncertainty Estimates to Improve 3D Reconstruction", Department of Computer Science, University of North Carolina, Chapel Hill, hosted by Jan-Michael Frahm, January 2014.
  • "The Roles of Uncertainty in 3D Reconstruction", Department of Computer & Information Sciences, Temple University, hosted by Haibin Ling, February 2013.
  • "The Roles of Uncertainty in 3D Reconstruction", GRASP Laboratory, University of Pennsylvania, hosted by Kostas Daniilidis, February 2013.
  • "Dynamic 3D Reconstruction, Uncertainty Estimation and Semantic 3D Mapping", The Computer Science Colloquium, CUNY Graduate Center, hosted by Ioannis Stamos, February 2012.
  • "3D Computer Vision: beyond Static Modeling", AT&T Labs Research, hosted by Dimitrios Dimitriadis, November 2011.
  • "Real-Time 3D Reconstruction and Range Data Analysis at Large Scales", United Technologies Research Center, hosted by Isaac Cohen, November 2011
  • "Stereo Vision: beyond Static 3D Modeling", Informatics and Telematics Institute, Centre for Research and Technology, Hellas, hosted by Dimitrios Tzovaras, August 2011.
  • "Stereo Vision: beyond Static 3D Modeling", Department of Computer Science, SUNY Stony Brook, hosted by Tamara Berg, October 2010.
  • "Real-Time Large-Scale 3D Reconstruction from Video", Department of Nuclear Engineering, University of California at Berkeley, hosted by Lucian Mihailescu, June 2010.
  • "Measuring Uncertainty in Stereo Reconstruction" (poster), International Workshop on Computer Vision, hosted by Gérard Medioni, Gabriella Saniti di Baja and Ramin Zabih, May 2010.
  • "Real-Time 3D Reconstruction and Range Data Analysis at Large Scales", iRobot Corporation, hosted by Christopher Geyer, May 2010.
  • "Object Detection in Large-Scale Range Datasets and Temporally Consistent 3D Reconstruction", Sarnoff Corporation, hosted by Elena Dotsenko, June 2009.
  • "Temporally Consistent 3D Reconstruction from Video", Perceptual Science Series, Rutgers University, Center for Cognitive Science, hosted by Peter Meer, March 2009.
  • "Structure from Data", Computer Science Seminar, Stevens Institute of Technology, hosted by George Kamberov, March 2008.
  • "Three Tales of Reconstruction: Real-time, Accurate and Temporally Consistent" at the University of Southern California, hosted by Gérard Medioni, October 2007.
  • "Stereo using Tensor Voting, Real-Time Urban Modeling and other Tales of Reconstruction", GRASP Laboratory seminar, University of Pennsylvania, hosted by Kostas Daniilidis, May 2007.
  • "A Perceptual Organization Approach for Figure Completion, Binocular and Multiple-View Stereo and Machine Learning using Tensor Voting ", Image Lunch, University of North Carolina at Chapel Hill, hosted by Stephen Pizer, November 2005
  • "Binocular and Multiple View Stereo using Tensor Voting", at the Digital Technology Center, University of Minnesota, hosted by Stergios Roumeliotis, March 2005
  • "The Tensor Voting Framework", at the Computer Graphics and Immersive Technologies group, hosted by Ulrich Neumann, June 2003
  • "Multiple View Stereo using Tensor Voting", at the NASA, Jet Propulsion Laboratory, Machine Vision Group, hosted by Larry Matthies, May 2002