Service, Awards and
- I am teaching CS 532: 3D Computer Vision and CS 559: Machine Learning: Fundamentals and Applications in the Fall 2015 semester.
- Three papers accepted to 3DV 2015. Pdf files coming soon.
- I am a guest editor of CVIU Special Issue on Large-Scale 3D Modeling of Urban Indoor or Outdoor Scenes from Images and Range Scans with Ioannis Stamos, Marc Pollefeys, Long Quan and Yasutaka Furukawa.
- New papers accepted to CVPR 2015 and ACC 2015. See my publications page.
- I am teaching CS 677: Parallel Programming for Many-core Processors in the Spring 2015 semester.
- I taught machine learning in the Fall of 2014. Hopefully, the 3D computer vision course will be back next year.
- New papers accepted to CVPR 2014, IROS 2014, ECCV 2014 and 3DV 2014. See my publications page.
- Raquel Urtasun and I chair the Doctoral Consortium at CVPR 2014.
- I serve as an area chair for the IEEE Winter conference on Applications of Computer Vision (WACV), 2014, and the International Conference on Pattern Recognition (ICPR), 2014.
- Xiaoyan Hu defended his dissertation in October, 2013.
- I am the chair of the Doctoral Consortium at CVPR 2013.
- Stevens has been selected as a CUDA Research Center by NVIDIA.
- Two new grants from the NSF:
- One under the Robust Intelligence program on "Uncertainty-driven Dynamic 3D Reconstruction" with me as the single PI.
- One under the Major Research Instrumentation program on "Acquisition of a Large Volume, Real-time, High Resolution, Motion Capture System for an Interdisciplinary Research Facility" with Dave Cappelleri as PI and several Stevens faculty on the team.
- I have received outstanding reviewer awards from ACCV 2010, CVPR 2011, ICCV 2011, CVPR 2012, ECCV 2012, ICCV 2013 and ECCV 2014. Not sure what this means for my priorities in time allocation...
- I received a Google Research Award, with George Kamberov and Gerda Kamberova as coPIs, to develop novel computer vision techniques for scene understanding
in large-scale urban environments. Click here for more details.
Office hours: Tuesday 5-6pm and by appointment. You can also email me your signed study plan or other forms for approval.
- I cannot help with issues related to admissions, finances or student visas. Please contact the appropriate office for these matters.
- I do not waive prerequisites for courses without the consent of the instructor. (This is because I do not claim to know which specific background material is required for each class.)
If you think that you have covered all the prerequisites for a class, please email the instructor or bring a completed change of enrollment form to class for him or her to sign. These forms are
available here along with other useful forms and the schedule of classes.
- I strongly prefer that you contact me by email instead of telephone for record-keeping and other purposes.
- Ph.D. in Electrical Engineering at the University of Southern California (2005).
- Master of Science in Electrical Engineering at the University of Southern California (2000).
- Diploma in Electrical and Computer Engineering at the Aristotle University of Thessaloniki, Greece (1998).
- Binocular, multiple-view and video-based 3D reconstruction
- 3D shape representation and object recognition
- Perceptual organization
- Machine learning
- Active vision
- Xiaoyan Hu (Ph.D.), "Uncertainty based 3D Reconstruction", 2013
- Liefei (Lucy) Xu (Ph.D. co-advised with H. Quynh Dinh), "Vector Field Analysis for Flow Pattern Detection and Video Analysis", 2011
- Chloe LeGendre (M.S.), 2014-2015
- Krzysztof Jordan (B.S.), 2013-2015
- Lance Burgo (M.S.), 2013
- Yizhou Lin (M.S. co-advised with Gang Hua), 2012-2013
- Qiuxia Han (M.S.), 2009-2011
- Konstantinos Batsos (M.S.), 2011
- Morgan Baron (M.S. co-advised with G. Kamberov), 2011
- Wei Jiang (M.S.), 2009-2010
- Hao Guo (Ph.D., visiting from the Department of Computer Science, College of Information and Electrical Engineering, China Agricultural University), 2013-2014
- Rafael Gouveia (B.S., exchange student from Centro de Informatica, Universidade Federal de Pernambuco, Brazil), 2014
CS 532: 3D Computer Vision (Fall 2015)
CS 559: Machine Learning: Fundamentals and Applications (Fall 2015)
CS 677: Parallel Programming for Many-core Processors (Spring 2015)
CS 559: Machine Learning: Fundamentals and Applications (Fall 2014)
CS 284: Data Structures (Fall 2014)
Class notes etc. are available on Moodle.
WORDS OF WISDOM
By Jacob August Riis: "I go and look at a stonecutter hammering away at his rock perhaps a hundred times without as much as a crack showing in it.
Yet at the hundred and first blow it will split in two, and I know it was not that blow that did it, but all that had gone before."