List of peer-reviewed publications (Computer Vision and Robotics)

  1. Depth-based 6DoF Object Pose Estimation using Swin Transformer, Z. Li and I. Stamos, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit MI, October 1-5, 2023, PDF, github.
  2. Unified Object Detector for Different Modalities Based on Vision Transformers, X. Shen and I. Stamos, Electronics 2023, 12, 2571, Link.
  3. 3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images, X. Shen and I. Stamos, Special Issue on "Sensors and Computer Vision Techniques for 3D Object Modeling", Sensors 2021, 21, 121, Journal Link, PDF.
  4. Frustum VoxNet for 3D object detection from RGB-D or Depth images, X. Shen and I. Stamos, IEEE 2020 Winter Conference on Applications of Computer Vision (WACV '20), Snowmass Village, CO, March 1-5, 2020: Link.
  5. A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images, J. Liu, E. Psarakis, Y. Feng, and I. Stamos, IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2018. Link. [impact factor: 8.329]
  6. Data Driven Stochastic Approximation for Change Detection, T. Flynn, O. Hadjiliadis, I. Stamos and F. J. Vazquez-Abad, 2017 Winter Simulation Conference, Las Vegas, Dec. 3-6, 2017. PDF.
  7. CNN-based Object Segmentation in Urban LIDAR With Missing Points, A. Zelener and I. Stamos, International Conference on 3D Vision (3DV 2016), October 25 - 28 2016, Stanford University, CA. PDF.
  8. Online classification in 3D urban datasets based on hierarchical detection, T. Flynn, O. Hadjiliadis and I. Stamos, International Conference on 3D Vision (3DV 2015), October 19 - 22 2015, Lyon, France. PDF.
  9. Classification of Vehicle Parts in Unstructured 3D Point Clouds, A. Zelener, P. Mordohai and I. Stamos, International Conference on 3D Vision (3DV 2014), December 8 - 11 2014, University of Tokyo, Tokyo, Japan. PDF.
  10. Automatic Kronecker product model based detection of repeated patterns in 2D urban images, J. Liu, E. Psarakis and I. Stamos, International Conference on Computer Vision, Sydney Australia, December 3-5 2013, (accepted for publication: 28% acceptance rate, 1600 submissions).PDF.
  11. Automatic Procedural Modeling of Tree Structures in Point Clouds Using Wavelets, S. Friedman and I. Stamos, 3DV 2013 Conference, University of Washington, Seattle, June 29-30, 2013, PDF, supplemental video.
  12. Online Detection of Repeated Structures in Point Clouds of Urban Scenes for Compression and Registration, S. Friedman and I. Stamos, International Journal of Computer Vision (Special Issue: 3D Imaging, Processing and Modeling),  Volume 102, Issue 1-3, pp 112-128, March 2013. Online version here (DOI 10.1007/s11263-012-0575-y). Local copy (PDF) -- do not redistribute.
  13. Online algorithms for classification of urban objects in 3D point clouds, I. Stamos, O. Hadjiliadis, H. Zhang and T. Flynn, 2012, The second 3DIMPVT (3D Imaging, Modeling, Procession, Visualization and Transmission) Conference, ETH, Zurich, Oct. 13-15, 2012, PDF.
  14. Detection of Windows in Point Clouds of Urban Scenes, A.Mesolongitis and I. Stamos, Point Cloud Processing at IEEE International Conference of Computer Vision and Pattern Recognition, Providence RI, June 16 2012, PDF.
  15. Online Facade Reconstruction from Dominant Frequencies in Structured Point Clouds, S. Friedman and I. Stamos,  Point Cloud Processing at IEEE International Conference of Computer Vision and Pattern Recognition, Providence RI, June 16 2012, PDF.
  16. A systematic approach for 2D-image to 3D-range registration in urban environments, L. Liu and I. Stamos,  Journal of Computer Vision and Image Understanding, Vol. 116, No. 1, Jan. 2012, pp. 25-37. Online version in Sciencedirect. Local copy (PDF) -- do not redistribute.
  17. Real Time Detection of Repeated Structures in Point Clouds of Urban Scenes, S. Friedman and I. Stamos, The First Joint 3DIM/3DPVT (3DIMPVT) Conference, Hangzhou, China, May 16-19, 2011 PDF.
  18. Sequential Classification in Point Clouds of Urban Scenes, O. Hadjiliadis and I. Stamos, Fifth International Symposium on 3D Data Processing, Visualization and Transmission, Paris, France, May 17-20, 2010  PDF.
  19. Integrating Automated Range Registration with Multiview Geometry for the Photorealistic Modeling of Large-Scale Scenes, I. Stamos, L. Liu, C. Chen,G. Wolberg, G. Yu, S. Zokai, International Journal of Computer Vision [Special Issue on Modeling and Representation of Large-Scale 3D Scenes], 2008. PDF -- The original publication is available at www.springerlink.com (DOI 10.1007/s11263-007-0089-1). To get the original publication click here .
  20. Think Globally, Cluster Locally: A Unified Framework for Range Segmentation, G. Yu, M. Grossberg, G. Wolberg, I. Stamos,  Fourth International Symposium on 3D Data Processing, Visualization and Transmission. June 18-20, 2008,  Georgia Institute of Technology, Atlanta, GA.  PDF.
  21. A systematic approach for 2D-image to 3D-range registration in urban environments, L. Liu, I. Stamos, VRML Workshop, 11th International Conference on Computer Vision, Rio de Janeiro, Brazil, October 14-20 2007. PDF
  22. Range Image Segmentation for Modeling and Object Detection in Urban Scenes, C. Chen, I. Stamos, The 6th International Conference on 3-D Digital Imaging and Modeling, Montreal, Canada, August 21-23 2007. PDF
  23. Multiview Geometry for Texture Mapping 2D Images Onto 3D Range Data, L. Liu, I. Stamos, G. Yu,G. Wolberg, S. Zokai, IEEE International Conference of Computer Vision and Pattern Recognition, New York, NY, June 17-22 2006, Vol. II, pp. 2293-2300. PDF
  24. Range Image Registration Based on Circular Features, C. Chen and I. Stamos, 3rd International Symposium on 3D Data Processing, Visualization & Transmission, Univesity of North Carolina, Chapel Hill, June 14-16 2006. PDF
  25. 3D Modeling Using Planar Segments And Mesh Elements, I. Stamos, G. Yu,G. Wolberg, S. Zokai, 3rd International Symposium on 3D Data Processing, Visualization & Transmission, Univesity of North Carolina, Chapel Hill, June 14-16 2006. PDF
  26. Automatic 3D to 2D Registration for the Photorealistic Rendering of Urban Scenes, L. Liu and I. Stamos, IEEE CVPR 2005 Conference, June 20-26, San Diego, Vol. II, pp. 137-143. PDF
  27. Semi-automatic range to range registration: a feature-based method, C. Chen and I. Stamos, The 5th International Conference on 3-D Digital Imaging and Modeling, Ottawa,June 13-17, 2005, pp. 254-261.PDF
  28. Efficient Model Creation of Large Structures based on Range Segmentation, I. Stamos and M. Leordeanu, 2nd International Symposium on 3D Data Processing, Visualization & Transmission, Thessaloniki, Greece, September 2004. PDF
  29. New Methods for Digital Modeling of Historic Sites Using Range and Image Data, P. K. Allen, I. Stamos, A. Troccoli, B. Smith, M. Leordeanu, and Stephen Murray, IEEE Journal of Computer Graphics and Applications, 3D Reconstruction and Visualization of Large Scale Environments, Nov./Dec. 2003, pp. 32-41. PDF
  30. 3D Modeling of Historic Sites using Range and Image Data, P. K. Allen, I. Stamos, A. Troccoli, B. Smith, M. Leordeanu and Y. C. Hsu, International Conference of Robotics and Automation, Taipei, September 2003,  pp. 145-150. PDF
  31. The Beauvais Cathedral Project, P. K. Allen, A. Troccoli, B. Smith, I. Stamos and Stephen Murray, Workshop on Applications of Computer Vision in Archeology, IEEE International Conference of Computer Vision and Pattern Recognition,  Madison, WI, June  2003.
  32. Automated Feature-Based Range Registration of Urban Scenes of Large Scale, I. Stamos and M. Leordeanu, IEEE International Conference of Computer Vision and Pattern Recognition, Madison,WI, June 16-22 2003, Vol. II, pp. 555-561. LINK
  33. Geometry and Texture Recovery of Scenes of Large Scale, I. Stamos and P. K.  Allen, Journal of Computer Vision and Image Understanding, Vol.88, No. 2, Nov. 2002, pp. 94-118. PDF
  34. Photorealistic 3D Modeling of Architecturally Complex Environments, I. Stamos ,  Intern'l Conference on Imaging Science, Systems, and Technology, Las Vegas, Nevada, 2002, pp. 92-98. PDF
  35. AutomaticRegistration of 3-D with 2-D imagery in Urban Environments, I. Stamos and P. K. Allen, The Eighth International Conference  on Computer Vision,  Vancouver, Canada, July 2001, pp. 731-736. PDF
  36. PhD Thesis: Geometry and Texture Recovery of Scenes of Large Scale: Integration of Range and Intensity Sensing, Columbia University, 2001. LINK
  37. AVENUE: Automated Site Modeling in Urban Environments, P. K. Allen, I. Stamos, A. Georgiev, E. Gold and P. Blaer, Third International Conference on 3D Digital Imaging and Modeling, Quebec City, May 28 - June 1 2001, pp. 357-364. PDF
  38. 3-D Model Construction Using Range and Image Data, I. Stamos and P. K. Allen, in Proc. of IEEE International Conference on Computer Vision and Pattern Recognition, South Carolina, June 2000,  Vol. I, pp. 531-536. PDF
  39. Integration of Range and Image Sensing for Photorealistic 3D Modeling, Ioannis Stamos and Peter K.Allen, in Proc. of International Conference on Robotics and Automation, San Fransisco, May 2000, pp. 1435-1440. PDF
  40. Interactive Sensor Planning, I. Stamos and P. K. Allen,  in Proc. of IEEE International Conference on Computer Vision and Pattern Recognition, Santa Barbara, June 1998, pp. 489-494. PDF
  41. View Planning for Site Modeling, P. K. Allen, M. K. Reed and I. Stamos, in Proc. DARPA Image Understanding Workshop, Monterey, November 21-23 1998 , pp. 1181-1192. PDF
  42. Automated Model Acquisition from Range Images with View Planning, M. K. Reed, P. K. Allen and I. Stamos, in Proc. of IEEE International Conference on Computer Vision and Pattern Recognition, Puerto Rico, June 1997, pp. 72-77. PDF
  43. 3-D Modeling from Range Imagery: An Incremental Method with a Planning Component, M. K. Reed, P. K. Allen and I. Stamos,   in Proc. of the International Conference on Recent Advances in 3D Digital Imaging and Modeling, Ottawa, Canada,  May 1997, pp. 76-84.

 



List of peer-reviewed publications (Vision inspired algorithms applied to other fields)

  1. Trends and trades, M. Carlisle, O. Hadjiliadis and I. Stamos,  Handbook of high-frequency trading and modeling in finance. Editors: F. Viens, M. C. Mariani and I. Florescu, Publisher: John Wiley and Sons (accepted 2014).
  2. A comparison of 2-CUSUM stopping rules for quickest detection of two-sided alternatives through the derivation of the mean of a general 2-CUSUM, O. Hadjiliadis, G. Herandez-del-Valle, and I. Stamos (to appear in the Journal of Sequential Analysis, 2009). PDF




Abstracts

  1. Presentation at the DIMACS Workshop on Surface Reconstruction, April 30 - May 2, 2003. DIMACS Center,Rutgers University,Piscataway,New Jersey. Title: Automatic Geometric Registration of  Dense Range Scans for 3D Site Modeling, Ioannis Stamos, Hunter College,City University of New York and Peter K. Allen, Columbia University.

 

  




Invited talks

  1. Reconstruction, online classification and repetition detection from range data in urban scenes, Google Inc., Mountain View, CA, Spring 2014.
  2. Reconstruction, online classification and repetition detection from range data in urban scenes, Nvidia Corporation, Santa Clara, CA, March 14, 2014.
  3. Reconstruction, online classification and repetition detection from range data in urban scenes, University of California Santa Barbara (UCSB), Computer Science Colloquium, October 16, 2013.
  4. Registration, detection and classification of urban structures in 3D point clouds, Keynote Presentation at the 3D GeoInfo Conference, Quebec City May 16-17, 2012.
  5. Sequential (+) detection and classification in point clouds of urban scenes, Seminar organized by Prof. Haralick (Graduate Center of CUNY), April 18 2012
  6. Sequential detection and classification in point clouds of urban scenes (with Olympia Hadjiliadis), Google (Dr. Vincent Luc), Mountain View, CA, June 13, 2011.
  7. Reconstruction and online classification from range data in urban scenes, Computer Science Department Seminar, Stevens Institute of Technology, Hoboken, NJ, September 27, 2010.
  8. Invited paper/presentation at the 44th Annual Conference on Information Sciences and Systems (3D Data Acquisition and Analysis Session), Princeton University, March 19, 2010 (http://conf.ee.princeton.edu/ciss/).
  9. Keynote presentation at the 3D Virtual Reconstruction and Visualization of Complex Architectures conference, 25-28 February 2009, Trento, Italy (http://www.3d-arch.org/).
  10. Carnegie Mellon University, Robotics Institute, VASC Seminar Series, April 17 2006.
  11. Rutgers University, Computational Biomedicine Imaging and Modeling Center, Department of Computer Science, New Brunswick, NJ, April 2005.
  12. New York University, Media Research Laboratory, Department of Computer Science, New York City, March 28 2005.
  13. University of Pennsylvania, GRASP Seminar Series, Philadelphia,PA, March 2005.
  14. IBM T. J. Watson Research Center,Hawthorne,NY, February 2005; 
  15. Department of Computer and Information Science, Polytechnic University, Brooklyn,NY, Nov. 7 2003.
  16.  New York Academy of Sciences, Computer and Information Sciences Colloquium, Computer Visualization Applications, Feb. 27 2002.
  17.  CUNY WIRED! A New Media CUNY Conference, March 15 2002.
  18. Multimedia Vision and Visualization Group Seminars, Stevens Institute of Technology, April 8 2002.