Philippos Mordohai

Professor

School: School of Engineering and Science

Department: Computer Science

Building: Gateway Center

Room: S355

Phone: (201) 216-5611

Fax: (201) 216-8249

Email: pmordoha@stevens.edu

Website

Research

Binocular, multiple-view and video-based 3D reconstruction. Perceptual organization 3D shape representation and object recognition.

Institutional Service
  • Associate Chair for Operations Chair
  • Faculty Search Committee Chair
  • Faculty Search Committee Chair
  • Associate Chair for Operations Chair
  • Director of Track II in M.E. in Broadcast and Media Engineering Chair
  • Ph.D. committee Member
Professional Service
  • Computer Vision and Image Understanding Associate Editor
  • Image and Vision Computing Associate Editor
  • IEEE/CVF Tutorials Chair - IEEE/CVF WACV
  • European Conference on Computer Vision Area Chair: ECCV 2020
  • Various international conferences Conference Reviewer
  • Various international journals Journal Reviewer
  • IEEE/CVF Tutorials Chair - IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • NSF Panelist
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition Area Chair: CVPR 2020
  • International Conference on 3D Vision Program Chair: 3DV 2019
  • IEEE/CVF International Conference on Computer Vision Area Chair: ICCV 2019
  • Computer Vision and Image Understanding Associate Editor
  • Image and Vision Computing Associate Editor
  • Various international conferences Conference Reviewer
  • Various international journals Journal Reviewer
  • NSF Panelist
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition Area Chair: CVPR 2019
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. Kutbi, M.; Chang, Y.; Mordohai, P. (2021). Inlier clustering based on the residuals of random hypotheses. Pattern Recognition Letters (vol. 150, pp. 101-107).
  2. 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).
  3. 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.