Publications

Check out my profiles at Google Scholar and Microsoft Academic.

Conference Papers:

  1. C. Arndt, R. Sabzevari, and J. Civera; "From points to planes - adding planar constraints to monocular slam factor graphs"; IEEE International Conference on Intelligent Robots and Systems (IROS’20), pages 4917–4922. (PDF)

  2. S. Isler, R. Sabzevari, J. Delmerico, D. Scaramuzza; "An Information Gain Formulation for Active Volumetric 3D Reconstruction"; IEEE International Conference on Robotics and Automation (ICRA2016), Stockholm, Sweden, May 16-21, 2016, pp. 3477 - 3484. (PDF, Video, Code)

  3. R. Sabzevari and D. Scaramuzza; "Monocular Simultaneous Multi-Body Motion Segmentation and Reconstruction from Perspective Views"; IEEE International Conference on Robotics and Automation (ICRA2014), Hong Kong, May 31-June 7, 2014, pp 23–30. (PDF, BibTeX, DOI)

  4. Latifi, S., Cesca, F., Tamayol, A., Habibi, R., R. Sabzevari, Blau, A., Linder, M., and E. Arab-Tehrani; "A Novel Bioinspired Nanoparticle Promotes Neurite outgrowth and Increases Neural Network Activity in Primary Neuronal Cultures"; Society for Neuroscience annual meeting, Washington, DC, USA, November 15-19, 2014. (Link)

  5. Arab-Tehrany, E., Latifi, S., Sabzevari R., Geny, D., and M. Linder; "Nanoscale characterization of nano-liposome as drug delivery in vitro"; Drug Discovery & Therapy World Congress, Boston, USA, June 3-6, 2013. (Link)

  6. Sabzevari, R., A. Del Bue, and V. Murino; "Multi-view Photometric Stereo using Semi-isometric Mappings"; International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DimPVT2012), Zurich, Switzerland, June 29-July 1, 2013, pp 547-554. (Presentation, PDF, BibTeX, DOI)

  7. Sabzevari, R., A. Del Bue, and V. Murino; "Piecewise Single View Photometric Stereo with Multi-View Constraints"; IEEE International Conference on Image Processing (ICIP2012), Orlando, USA, Sep. 30-Oct. 3, 2012, pp 21-24. (PDF, BibTex, DOI)

  8. Sabzevari, R., A. Del Bue, and V. Murino; "Combining Structure from Motion and Photometric Stereo: A Piecewise Formulation"; ACM Eurographics'12, Cagliari, Italy, 13-18 May, 2012, pp 33-34. (PDF, Link)

  9. Reza Sabzevari, Alessio Del Bue, Vittorio Murino, "Structure from Motion and Photometric Stereo for dense 3D shape recover"; 16th International Conference on Image Analysis and Processing (ICIAP2011), Ravenna, Italy, 14-16 September, 2011, LNCS, Springer, pp 660-669. (PDF, BibTeX, Link)

  10. Gh.A. Montazer, R. Sabzevari, F. Ghorbani; “Enhancement in Two-Phase OSD Learning Method for RBF Neural Networks”; The 2008 International Conference on Machine Learning; Models, Technologies and Applications (MLMTA'08), Las Vegas, USA, 14-17 July, 2008, pp 828-831. (PDF, BibTeX)

  11. R. Sabzevari, S. Masoumzadeh, M. Rezaei Ghahroudi; “Employing ANFIS for Object Detection in Robo-Pong”; The 2008 International Conference on Artificial Intelligence (ICAI'08), Las Vegas, USA, 14-17 July, 2008, pp 707-712. (PDF, BibTeX)

  12. Mahdi Rezaei Ghahroudi, Mohammad Reza Sarshar, Reza Sabzevari, “A Novel Content-Based Image Retrieval Technique Using Tree Matching”; The 2008 International Conference of Signal and Image Engineering, London, UK, 2-4 July, 2008 (ICSIE'08), pp 1797-1801. (PDF, BibTeX)

  13. Gh.A. Montazer, R. Sabzevari, F. Ghorbani; “Improvement of Learning Rate for RBF Neural Networks in a Helicopter Sound Identification System Introducing Two-Phase OSD Learning Method”; The 5th International Symposium on Mechatronics and its Applications, (ISMA08), Amman, Jordan, 27-29 May, 2008. (PDF, BibTeX, DOI)

  14. Reza Sabzevari, A.M. Shahri, A.R. Fasih; “Object Detection and Localization System Based on Neural Networks for Robo-Pong”; The 5th International Symposium on Mechatronics and its Applications, (ISMA08), Amman, Jordan, 27-29 May, 2008. (PDF, BibTeX, DOI)

  15. M. H.Korayem, V. Ehtemam, V. Azimirad, R. Sabzevari, M. Madani “A Vision System Based on Neural Network for a Mobile Robot and Statistical Analyses of Its Errors”, 12th International CSI Computer Conference (CSICC'07), Shahid Beheshti University, Tehran, Iran, pp 2351-2356. (PDF, BibTeX)

  16. Gh.A. Montazer, Reza Sabzevari, H. Gh.Pour Khatir, F. Nasiri Saleh; “Expert Clustering of Hydraulic-Geotechnical Control Parameters of Rubble Mound Breakwaters Using Rough Sets Theory”, 5th WSEAS Int. Conf. on Computational Intelligence, Man-Machine Systems And Cybernetics, November 2006, Venice, Italy, pp 133-138. (PDF, BibTeX)

On Arxiv:

  1. R. Sabzevari, Del Bue, A., and V. Murino; "Photo-geometric dense reconstruction from multi-view and multi-illumination images", 2015. (PDF)

  2. J. Schuler, R. Sabzevari, D. Scaramuzza; "LightPanel: Active Mobile Platform for Dense 3D Modelling", 2015. (PDF)

Patents:

  1. ”Planar constraints and their integration in a SLAM system”, Application No. 102020213337.9, filed in Oct. 2020.

  2. ”Absolute scale visual odometry for robots with two coaxial differential wheels”, Application No. 102020211167.7, filed in Sep. 2020.

Journal Publications:

  1. J. Delmerico, S. Isler, R. Sabzevari, D. Scaramuzza, "A comparison of volumetric information gain metrics for active 3D object reconstruction", Autonomous Robots 41.6, 2017, pp. 1-12. (PDF)

  2. R. Sabzevari, D. Scaramuzza, "Multi-body Motion Estimation from Monocular Vehicle-Mounted Cameras", IEEE Transaction on Robotics, Vol.32, No 3, 2016, pp. 638-651. (PDF)

  3. S. Latifi, A. Tamayol, R. Habibey, R. Sabzevari, C. Kahn, D. Geny, E. Eftekharpour, N. Annabi, A. Blau, M. Linder, and E. Arab-Tehrany, "Natural lecithin promotes neural network complexity and activity", Nature Scientific Reports, 2016. (PDF)

  4. M. R. Ghahroudi, M. R. Sarshar, R. Sabzevari, “Introducing a Sensor Network for Advanced Driver Assistance Systems Using Fuzzy Logic and Sensor Data Fusion Techniques”, Ad Hoc & Sensor Wireless Networks – Special Issue on Sensor Technologies and Applications, Vol 8, No. 1-2, 2009, pp. 35-55. (PDF, BibTeX)

  5. G.A. Montazer, R. Sabzevari, and F. Ghorbani, “Three-phase strategy for the OSD learning method in RBF neural networks,” Neurocomputing, Vol. 72, 2009, pp. 1797-1802. (PDF, BibTeX, Link)

  6. M.H. Korayem, V. Ehtemam, R. Sabzevari, M. Madani, V. Azimirad, “An Intelligent Vision System On A Mobile Manipulator”, International Journal of Engineering-Transaction A: Basics (September 2008), Vol. 21, No. 3, pp. 279-294. (PDF, BibTeX)

  7. Reza Sabzevari, Gh.A. Montazer; “An Intelligent Data Mining Approach Using Neuro-Rough Hybridization to Discover Hidden Knowledge of Information Systems”, Journal of Information Science and Engineering (July 2008), Vol. 24, No. 4, pp. 1111-1126. (PDF, BibTeX)

  8. R. Foroughi, Gh.A. Montazer, R. Sabzevari; “Design Of A New Urban Traffic Control System Using Modified Ant Colony Optimization Approach”, Journal of Science and Technology-Transaction B: Engineering (April 2008), Vol. 32, No. B2, pp. 167-173. (PDF, BibTeX)

  9. Gh.A. Montazer, Reza Sabzevari, H. Gh. Pour Khatir; “Improvement of learning algorithms for RBF neural networks in a helicopter sound identification system”, Neurocomputing (December 2007), Vol. 71/1-3, pp. 167-173. (PDF, BibTeX, Link)

  10. Gh.A. Montazer, Reza Sabzevari, H. Gh. Pour Khatir; “Intelligent Parameter Reduction Using Rough Set Theory and Sensitivity Analysis”, WSEAS Transactions on Systems (March 2007), Issue 3, Vol. 6, pp. 623-630. (PDF, BibTeX)

Book Chapter:

  1. M. R. Ghahroudi and R. Sabzevari, “Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems,” In Sensor and Data Fusion, ed. by Dr. ir. Nada Milisavljević, Pp. 141-166, Vienna, Austria: I-Tech Education and Publishing KG, 2009. (PDF, BibTeX)

PhD Dissertation:

Photo-Geometric Dense Reconstruction from Uncalibrated Images. (PDF, BibTeX)

Master Thesis:

Intelligent Knowledge Discovery on Motion Detection in Video Sequences Using Rough Set Theory. (BibTeX)