Office: Gateway South 355
Phone Number: +1 201 216 5611
E-mail: mordohai_at_cs.stevens.edu

• P. Mordohai and G. Medioni. "Tensor Voting: A Perceptual Organization Approach to Computer Vision And Machine Learning." A.C. Bovik (editor), Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool, 136 pages, November, 2006.
• P. Mordohai. "A Perceptual Organization Approach for Figure Completion, Binocular and Multiple-View Stereo and Machine Learning using Tensor Voting." Ph.D. Thesis, August, 2005.

• B. Abruzzo, D.J. Cappelleri, and P. Mordohai. "Comparing Complementary Kalman Filters Against SLAM for Collaborative Localization of Heterogeneous Multirobot Teams." Journal of Autonomous Vehicles and Systems, Vol. 2, no. 2, 2022
• T. Mane, A. Bayramova, K. Daniilidis, P. Mordohai, and E. Bernardis. "Single-camera 3D Head Fitting for Mixed Reality Clinical Applications." Computer Vision and Image Understanding, Vol. 218, 2022
• M. Kutbi, Y. Chang, and P. Mordohai. "Inlier Clustering based on the Residuals of Random Hypotheses." Pattern Recognition Letters, Vol. 150, pp. 101-107, 2021
• M. Poggi, F. Tosi, K. Batsos, P. Mordohai, and S. Mattoccia. "On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey." IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 (impact factor in 2020: 16.389). [arXiv]
• M. Kutbi, X. Du, Y. Chang, B. Sun, N. Agadakos, H. Li, G. Hua, and P. Mordohai. "Usability Studies of an Egocentric Vision-Based Robotic Wheelchair ." ACM Transactions on Human-Robot Interaction, vol. 10, no. 1, pp. 1-23, 2020.
• C. Freundlich, Y. Zhang, A. Zhu, P. Mordohai, and M. M. Zavlanos. "Controlling a Robotic Stereo Camera under Image Quantization Noise." International Journal of Robotics Research, 2017 (impact factor: 4.047). [arXiv]
• A. Spyropoulos and P. Mordohai. "Correctness Prediction, Accuracy Improvement and Generalization of Stereo Matching using Supervised Learning." International Journal of Computer Vision, Vol. 118, No. 3, pp. 300-318, 2016 (impact factor: 8.222).
• H. Guo, D. Zhu and P. Mordohai. "Correspondence Estimation for Non-Rigid Point Clouds with Automatic Part Discovery." The Visual Computer, 2015 (impact factor in 2015: 1.060).
• X. Hu and P. Mordohai. "A Quantitative Evaluation of Confidence Measures for Stereo Vision." IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 11, pp. 2121-2133, 2012 (impact factor: 4.795).
• P. Mordohai and G. Medioni. "Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting." Journal of Machine Learning Research (JMLR), vol 11, pp. 411-450, 2010. (impact factor: 2.974).
• V. Kwatra, P. Mordohai, S. Kumar Penta, R. Narain, M Carlson, M. Pollefeys and M. Lin. "Fluid in Video: Augmenting Real Video with Simulated Fluids." Eurographics, Heraklion, Greece, April 2008 (acceptance rate for oral presentations: 19.3%); also in Computer Graphics Forum, vol. 27, no. 2, pp. 487-496, 2008 (impact factor: 1.86).
• M. Pollefeys, D. Nistér, J.-M. Frahm, A. Akbarzadeh, P. Mordohai, B. Clipp, C. Engels, D. Gallup, S.-J. Kim, P. Merrell, C. Salmi, S. Sinha, B. Talton, L. Wang, Q. Yang, H. Stewénius, R. Yang, G. Welch, H. Towles. "Detailed Real-Time Urban 3D Reconstruction From Video." International Journal of Computer Vision, vol. 78, no. 2-3, pp. 143-167, July 2008. (impact factor: 5.358).
• P. Mordohai and G. Medioni. "Stereo using Monocular Cues within the Tensor Voting Framework." IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 6, pp. 968-982, June 2006 (impact factor: 4.306).
• W.S. Tong, C.K. Tang, P. Mordohai and G. Medioni. "First Order Augmentations to Tensor Voting for Boundary Inference and Multiscale Analysis in 3-D." IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 5, pp. 594-611, 2004 (impact factor: 4.352).
• M.S. Lee, G. Medioni and P. Mordohai. "Inference of Segmented Overlapping Surfaces from Binocular Stereo." IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 6, pp. 824-837, 2002 (impact factor: 2.923).

• M. Xanthidis, B. Joshi, N. Karapetyan, M. Roznere, W. Wang, J. Johnson, A. Quattrini Li, J. Casana, P. Mordohai, S. Nelakuditi and I. Rekleitis. "Towards Multi-Robot Shipwreck Mapping." First Advanced Marine Robotics TC Workshop: Active Perception, 2021.
• C. Cai and P. Mordohai. "Do End-to-end Stereo Algorithms Under-utilize Information?" International Conference on 3D Vision (3DV), 2020. [code]
• C. Cai, M. Poggi, S. Mattoccia, and P. Mordohai. "Matching-space Stereo Networks for Cross-domain Generalization." International Conference on 3D Vision (3DV), 2020. [code]
• P. Mordohai, K. Batsos, A. Makadia, and N. Snavely. "NBVC: A Benchmark for Depth Estimation from Narrow-Baseline Video Clips." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
• M. Kutbi, Y. Chang, B. Sun, and P. Mordohai. "Learning to Navigate Robotic Wheelchairs from Demonstration: Is Training in Simulation Viable?" International Workshop on Assistive Computer Vision and Robotics, 2019.
• B. Sun and P. Mordohai. "Oriented Point Sampling for Plane Detection in Unorganized Point Clouds." IEEE International Conference on Robotics and Automation (ICRA), Motreal, Canada, 2019.
• I. Tsekourakis and P. Mordohai. "Measuring the Effects of Temporal Coherence in Depth Estimation for Dynamic Scenes." CVPR workshop on Photogrammetric Computer Vision workshop, Long Beach, CA, 2019.
• B. Abruzzo, D. Cappelleri and P. Mordohai. "A Collaborative Visual Localization Scheme for a Low-Cost Heterogeneous Robotic Team with Non-Overlapping Perspectives." International Design Engineering Technical Conferences (IDETC), Anaheim, CA, 2019.
• K. X. Dai, H. Guo, P. Mordohai, F. Marinello, A. Pezzuolo, Q. L. Feng and Q. D. Niu. "Non-Rigid Multi-Body Tracking in RGBD Streams." International Society for Photogrammetry and Remote Sensing (ISPRS) Geospatial Week, Enschede, The Netherlands, 2019.
• K. Batsos and P. Mordohai. "RecResNet: A Recurrent Residual CNN Architecture for Disparity Map Enhancement." International Conference on 3D Vision (3DV), 2018. (acceptance rate for oral presentations: 14.3\%) [code]
• K. Batsos, C. Cai and P. Mordohai. CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (acceptance rate: 29.6\%) [code]
• I. Tsekourakis and P. Mordohai. "A Comparison of Scene Flow Estimation Paradigms." Representation, analysis and recognition of shape and motion FroM Image data (RFMI), 2017.
• C. LeGendre, K. Batsos and P. Mordohai. "High-Resolution Stereo Matching based on Sampled Photoconsistency Computation." British Machine Vision Conference, 2017. (acceptance rate: 29.6%) [code]
• Y. Chang, M. Kutbi, N. Agadakos, B. Sun and P. Mordohai. "A Shared Autonomy Approach for Wheelchair Navigation based on Learned User Preferences." Fifth International Workshop on Assistive Computer Vision and Robotics, 2017.
• M. Kutbi, Y. Chang and P. Mordohai, "Hands-free Wheelchair Navigation Based on Egocentric Computer Vision: A Usability Study." IROS workshop on Assistance and Service Robotics in a Human Environment, 2017.
• H. Li, M. Kutbi, X. Li, C. Cai, P. Mordohai and G. Hua. "An Egocentric Computer Vision based Co-Robot Wheelchair." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.
• H. Li, P. Mordohai and G. Hua. "Attention-driven Egocentric Computer Vision for Robotic Wheelchair Navigation." 4th Workshop on Egocentric (First-Person) Vision, Las Vegas, NV, 2016.
• M. Ehrlich and P. Mordohai. "Discriminative Hand Localization in Depth Images." IEEE Symposium on 3D User Interfaces, 2016.
• R. Gouveia, A. Spyropoulos and P. Mordohai. "Confidence Estimation for Superpixel-based Stereo Matching." International Conference on 3D Vision (3DV), Lyon, France, 2015.
• A. Spyropoulos and P. Mordohai. "Ensemble Classifier for Combining Stereo Matching Algorithms." International Conference on 3D Vision (3DV), Lyon, France, 2015.
• I. Tsekourakis and P. Mordohai. "Consistent 3D Background Model Estimation from Multi-Viewpoint Videos." International Conference on 3D Vision (3DV), Lyon, France, 2015.
• C. Freundlich, M. M. Zavlanos and P. Mordohai. "Exact Bias Correction and Covariance Estimation for Stereo Vision." IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, 2015. (acceptance rate: 28.4%)
• C. Freundlich, P. Mordohai, and M. M. Zavlanos. "Optimal Path Planning and Resource Allocation for Active Target Localization." American Control Conference, Chicago, IL, 2015.
• A. Zelener, P. Mordohai and I. Stamos. "Classification of Vehicle Parts in Unstructured 3D Point Clouds." International Conference on 3D Vision (3DV), Tokyo, Japan, 2014.
• K. Jordan and P. Mordohai. "A Quantitative Evaluation of Surface Normal Estimation in Point Clouds." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago, IL, 2014.
• L. Teran and P. Mordohai. "3D Interest Point Detection via Discriminative Learning." 13th European Conference on Computer Vision (ECCV), Zurich, Switzerland, 2014. (acceptance rate: 25.1%)
• Y. Lin, G. Hua and P. Mordohai. "Egocentric Object Recognition leveraging the 3D Shape of the Grasping Hand." Assistive Computer Vision and Robotics workshop, Zurich, Switzerland, 2014.
• A. Spyropoulos, N. Komodakis, and P. Mordohai. "Learning to detect ground control points for improving the accuracy of stereo matching," IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, 2014. (acceptance rate: 29.9%)
• C. Freundlich, P. Mordohai and M. M. Zavlanos. "Hybrid Control for Mobile Target Localization with Stereo Vision." IEEE International Conference on Decision and Control (CDC), Firenze, Italy, 2013 (oral presentation).
• C. Freundlich, P. Mordohai and M. M. Zavlanos. "A Hybrid Control Approach to the Next-Best-View Problem using Stereo Vision." IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, 2013 (acceptance rate for oral presentations: 17.5%).
• R. Liu, H. Wang , P. Mordohai and H. Xiong. "Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers." SIAM International Conference on Data Mining (SDM), Austin, TX, USA, 2013 (acceptance rate: 25.5%).
• X. Hu and P. Mordohai. "Least Commitment, Viewpoint-based, Multi-view Stereo." 3DIMPVT, Zurich, Switzerland, 2012.
• X. Hu and P. Mordohai. "Robust Probabilistic Occupancy Grid Estimation from Positive and Negative Distance Fields." 3DIMPVT, Zurich, Switzerland, 2012.
• P. Mordohai. "On the Evaluation of Scene Flow Estimation." Unsolved Problems in Optical Flow and Stereo Estimation workshop, Firenze, Italy, 2012.
• C. Yuan, M. Liao, X. Hu and P. Mordohai. "Sensing and Augmented-Reality Technologies for Mobile 3D Platforms." Society for Information Display's Display Week, 2012.
• H.Q. Dinh, L. Xu, P. Mordohai and T. Ramsay. "Detecting Patterns in Vector Fields." AIAA Aerospace Sciences Meeting, 2011.
• L. Xu and P. Mordohai. "Automatic Facial Expression Recognition using Bags of Motion Words." British Machine Vision Conference, Aberystwyth, Wales, UK, September 2010 (acceptance rate: 34%).
• X. Hu and P. Mordohai. "Evaluation of Stereo Confidence Indoors and Outdoors." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, June 2010 (acceptance rate: 26.8%).
• A. Toshev, P. Mordohai and B. Taskar. "Detecting and Parsing Architecture at City Scale from Range Data." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, June 2010 (acceptance rate: 26.8%).
• P. Mordohai. "The Self-Aware Matching Measure for Stereo." International Conference on Computer Vision (ICCV), Kyoto, Japan, September 2009 (acceptance rate: 23.2%).
• Q. Zhu and P. Mordohai. "A Minimum Cover Approach for Extracting the Road Network from Airborne LIDAR Data." 3-D Digital Imaging and Modeling (3DIM), Kyoto, Japan, October 2009.
• A. Patterson, P. Mordohai and K. Daniilidis. "Object Detection from Large-Scale 3D Datasets using Bottom-up and Top-down Descriptors." 10th European Conference on Computer Vision (ECCV), Vol. 4, pp. 553-566, Marseille, France, October 2008 (acceptance rate: 27.9%).
• D. Gallup, J.-M. Frahm, P. Mordohai and M. Pollefeys. "Variable Baseline/Resolution Stereo." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, USA, June 2008 (acceptance rate for oral presentations: 4%).
• P. Merrell, A. Akbarzadeh, L. Wang, P. Mordohai, J.-M. Frahm, R. Yang, D. Nistér and M. Pollefeys. "Real-Time Visibility-Based Fusion of Depth Maps." International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007 (acceptance rate for oral presentations: 3.9%).
• E.S. Larsen, P. Mordohai, M. Pollefeys and H. Fuchs. "Temporally Consistent Reconstruction from Multiple Video Streams Using Enhanced Belief Propagation." International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007 (acceptance rate: 23.5%).
• S. Sinha, P. Mordohai and M. Pollefeys. "Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh." International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007 (acceptance rate: 23.5%).
• P. Merrell, P. Mordohai, J.-M. Frahm and M. Pollefeys. "Evaluation of Large Scale Scene Reconstruction." Virtual Representations and Modeling of Large-scale environments (VRML), Rio de Janeiro, Brazil, October 2007.
• P. Mordohai, J.-M. Frahm, A. Akbarzadeh, B. Clipp, C. Engels, D. Gallup, P. Merrell, C. Salmi, S. Sinha, B. Talton, L. Wang, Q. Yang, H. Stewénius, H. Towles, G. Welch, R. Yang, M. Pollefeys and D. Nistér. "Real-Time Video-Based Reconstruction of Urban Environments." 3D-ARCH'2007: 3D Virtual Reconstruction and Visualization of Complex Architectures, Zurich, Switzerland, July, 2007.
• D. Gallup, J.-M. Frahm, P. Mordohai, Q. Yang and M. Pollefeys. "Real-time Plane-sweeping Stereo with Multiple Sweeping Directions." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, Minnesota, USA, June 2007 (acceptance rate: 27.5%).
• E.S. Larsen, P. Mordohai, M. Pollefeys and H. Fuchs. "Simplified Belief Propagation for Multiple View Reconstruction." Third International Symposium on 3-D Data Processing, Visualization and Transmission, Chapel Hill, North Carolina, USA, June 2006.
• P. Mordohai and G. Medioni. "Unsupervised Dimensionality Estimation and Manifold Learning in high-dimensional Spaces by Tensor Voting." 19th International Joint Conference on Artificial Intelligence (IJCAI), pp. 798-803, Edinburgh, Scotland, July 2005 (acceptance rate for oral presentations: 18.1%).
• P. Mordohai and G. Medioni."Dense Multiple View Stereo with General Camera Placement using Tensor Voting." Second International Symposium on 3-D Data Processing, Visualization and Transmission, Thessaloniki, Greece, September 2004.
• P. Mordohai and G. Medioni. "Junction Inference and Classification for Figure Completion using Tensor Voting." Fourth Workshop on Perceptual Organization in Computer Vision, Washington DC, USA, June 2004.
• P. Mordohai and G. Medioni. "Stereo using Monocular Cues within the Tensor Voting Framework." 8th European Conference on Computer Vision (ECCV), Lecture Notes in Computer Science, Vol. 3024, pp 588-601, Prague, Czech Republic, May 2004 (acceptance rate for oral presentations: 7.4%).
• P. Mordohai and G. Medioni. "Perceptual Grouping for Multiple View Stereo using Tensor Voting." International Conference on Pattern Recognition, vol. 3, pp. 639-644, Quebec City, Canada, August 2002.
• P. Mordohai, G. Medioni and M.S. Lee. "Inference of Segmented Overlapping Surfaces from Binocular and Multiple-View Stereo." Third Workshop on Perceptual Organization in Computer Vision, Vancouver, Canada, July 2001.

• T. Mane, A. Bayramova, K. Daniilidis, P. Mordohai, and E. Bernardis. "Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications." Sixth Workshop on Computer Vision for AR/VR (CV4ARVR), held with CVPR, 2022
• M. Roznere, P. Mordohai, and A. Quattrini Li. "Towards Photometric Stereo for Non-stationary Underwater Robots: High-resolution Model Accuracy vs. Real-time Application." ICRA Robotic Perception and Mapping: Emerging Techniques Workshop, 2022
• P. Mordohai, A. Spyropoulos and K. Batsos. "Learning to Improve 3D Reconstruction." IEEE Applied Imagery Pattern Recognition workshop, 2017.
• 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.

• 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.

• 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.

• M. Poggi, F. Tosi, F. Aleotti, K. Batsos, P. Mordohai and S. Mattoccia. "Facing depth estimation in-the-wild with deep networks." Tutorial at the European Conference on Computer Vision, 2020.
• M. Poggi, F. Tosi, K. Batsos, P. Mordohai and S. Mattoccia. "Learning-based Depth Estimation from Stereo and Monocular Images: Successes, Limitations and Future Challenges." Tutorial at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
• M. Poggi, F. Tosi, K. Batsos, P. Mordohai and S. Mattoccia. "Learning-based Depth Estimation from Stereo and Monocular Images: Successes, Limitations and Future Challenges." Tutorial at the International Conference on 3D Vision (3DV), 2018.
• P. Mordohai. "Tensor Voting: A Perceptual Organization Approach for Computer Vision and Machine Learning." Short Course at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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.

• G. Medioni and P. Mordohai, "Tensor voting in N dimensional spaces." United States Patent 7,953,675. Awarded, May 31, 2011.

• "Improving Stereo Matching using Supervised Learning" (poster), International Workshop on Computer Vision, hosted by Gérard Medioni and Ramin Zabih, May 2016.
• "Recent Developments in Computer Vision, Graphics and Robotics." High Schools of the American Farm School, hosted by Katerina Diafa, Thessaloniki, Greece, December 2014.
• "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