Philippos Mordohai (pmordoha)

Philippos Mordohai

Professor

Gateway Center S355
(201) 216-8249

Research

Binocular, multiple-view and video-based 3D reconstruction
Robotic perception
3D shape representation and object recognition
Perceptual organization
Machine learning
Active vision

General Information

I have been an Assistant, an Associate and now a Full Professor in the Department of Computer Science at Stevens Institute of Technology since 2008. Prior to joining Stevens, I earned a Ph.D. in Electrical Engineering from the University of Southern California. Between 2005 and 2008, I held postdoctoral research associate positions in the Department of Computer and Information Science of the University of Pennsylvania, and in the Department of Computer Science of the University of North Carolina at Chapel Hill. My research is on geometric computer vision and builds upon machine learning and parallel programming techniques. I am an associate/area editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and the Computer Vision and Image Understanding (CVIU) journal. I have also served as area chair of the three top-tier computer vision conferences (CVPR, ICCV and ECCV), program co-chair of the International Conference on 3D Vision (3DV) 2019, and I will serve as program co-chair of the IEEE/CVF International Conference on Computer Vision (ICCV) in 2025.

Professional Service

  • IEEE Transactions on Pattern Analysis and Machine Intelligence Associate Editor
  • Various international conferences Conference Reviewer
  • NSF Panelist

Appointments

Assistant Professor, Dept. of Computer Science, Stevens Institute of Technology, 2008-2015
Associate Professor, Dept. of Computer Science, Stevens Institute of Technology, 2015-2020
Professor, Dept. of Computer Science, Stevens Institute of Technology, 2020-present

Professional Societies

  • IEEE – IEEE Member

Selected Publications

Conference Proceeding

  1. Xanthidis; Joshi, B.; Karapetyan, N.; Roznere, M.; Wang, W.; Johnson, J.; Quattrini Li, A.; Casana, J.; Mordohai, P.; Nelakuditi, S.; Rekleitis, I. (2021). Towards Multi-Robot Shipwreck Mapping. First Advanced Marine Robotics TC Workshop: Active Perception.
  2. Cai, C.; Mordohai, P. (2020). Do End-to-end Stereo Algorithms Under-utilize Information?. Proceedings - 2020 International Conference on 3D Vision, 3DV 2020 (pp. 374-383).
  3. Cai, C.; Poggi, M.; Mattoccia, S.; Mordohai, P. (2020). Matching-space Stereo Networks for Cross-domain Generalization. Proceedings - 2020 International Conference on 3D Vision, 3DV 2020 (pp. 364-373).
  4. Mordohai, P.; Batsos, K.; Makadia, A.; Snavely, N. (2020). NBVC: A benchmark for depth estimation from narrow-baseline video clips. IEEE International Conference on Intelligent Robots and Systems (pp. 10076-10083).
  5. Tsekourakis, I.; Mordohai, P. (2019). Measuring the Effects of Temporal Coherence in Depth Estimation for Dynamic Scenes. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 0--0).
  6. Kutbi, M.; Chang, Y.; Sun, B.; Mordohai, P. (2019). Learning to Navigate Robotic Wheelchairs from Demonstration: Is Training in Simulation Viable?. International Workshop on Assistive Computer Vision and Robotics (ACVR) (pp. 2522-2531.). IEEE.
  7. Abruzzo, B.; Cappelleri, D.; Mordohai, P. (2019). A Collaborative Visual Localization Scheme for a Low-Cost Heterogeneous Robotic Team with Non-Overlapping Perspectives. International Design Engineering Technical Conferences (IDETC). ASME.
  8. Sun, B.; Mordohai, P. (2019). Oriented Point Sampling for Plane Detection in Unorganized Point Clouds. 2019 International Conference on Robotics and Automation (ICRA). IEEE.
    https://ieeexplore.ieee.org/document/8793487.
  9. Dai, K. X.; Guo, H.; Mordohai, P.; Marinello, F.; Pezzuolo, A.; Feng, Q. L.; Niu, Q. D. (2019). NON-RIGID MULTI-BODY TRACKING in RGBD STREAMS. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2/W5 ed., vol. 4, pp. 341-348).
  10. Batsos, K.; Mordohai, P. (2018). RecResNet: A Recurrent Residual CNN Architecture for Disparity Map Enhancement. International Conference on 3D Vision. IEEE.
    https://ieeexplore.ieee.org/abstract/document/8490974.

Journal Article

  1. Mane, T.; Bayramova, A.; Daniilidis, K.; Mordohai, P.; Bernardis, E. (2022). Single-camera 3D head fitting for mixed reality clinical applications. Computer Vision and Image Understanding (vol. 218).
  2. Kutbi, M.; Chang, Y.; Mordohai, P. (2021). Inlier clustering based on the residuals of random hypotheses. Pattern Recognition Letters (vol. 150, pp. 101-107).
  3. Kutbi, M.; Du, X.; Chang, Y.; Sun, B.; Agadakos, N.; Li, H.; Hua, G.; Mordohai, P. (2021). Usability studies of an egocentric vision-based robotic wheelchair. ACM Transactions on Human-Robot Interaction (1 ed., vol. 10).
  4. Poggi, M.; Tosi, F.; Batsos, K.; Mordohai, P.; Mattoccia, S. (2021). On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence.