Kourosh Meshgi

Research Scientist @ Kyoto University

I am currently a postdoctoral fellow at the Graduate School of Informatics at Kyoto University, where as a member of the Ishii lab, I work with Prof. Shin Ishii and Dr. Shigeyuki Oba on the use of active learning in visual tracking and scene understanding (Funded by the project of strategic advancement of multi-purpose ultra-human robot and artificial intelligence technologies (SAMURAI) from the New Energy and Industrial Technology Development Organization (NEDO)). I am also colloaborating with Prof. Takahashi Lab in RIKEN QBiC on Post-Kei project. I finished my Ph.D. under supervision of Prof. Shin Ishii in the same lab, where I worked on occlusion-aware visual tracking, 3D object reconstructionm, and imitation learning. In particular, my Ph.D. dissertation was about particle filter-based tracking to handle persistent and complex occlusions by proposing novel occlusion-aware appearance model and context-aware motion model in this framework.

Bio: Kourosh Meshgi received his B.Sc. and M.Sc. in Hardware Engineering (2008) and Artificial Intelligence (2010) respectively, from Tehran Polytechnic and his Ph.D. in Informatics in 2015 from Kyoto University. He is currently a post-doc researcher at Kyoto University. His research interests include machine learning, computer vision, robotics, computational linguistics, and automation. Dr. Meshgi's current research focuses on investigating the use of active learning in visual tracking.

Goal: Bringing my understanding of Human Brain Visual System, Machine Vision Techniques, and Computer-Brain Interfaces to the edge-of-knowledge so I can bring this edge further, invent new devices to help humanity and make automated systems and robots “smarter”.

Curriculum Vitae

Publications

Computer Vision

K. Meshgi, M. S. Mirzaei, S. Oba, S. Ishii, “Efficient Asymmetric Co-Tracking using Uncertainty Sampling,” ICSIPA’17, IEEE, Kuching, Malaysia, Sep 2017.
K. Meshgi, M. S. Mirzaei, S. Oba, S. Ishii, “Active Collaborative Ensemble Tracking,” AVSS’17, IEEE, Lecce, Italy, Aug 2017.
K. Meshgi, S. Oba, S. Ishii, “Adversarial Sampling to Robustify Active Discriminative Co-Tracking,” MIRU’17, Hiroshima, Japan, Aug 2017.
K. Meshgi, S. Oba, S. Ishii, “Efficient Version-Space Reduction for Visual Tracking,” in Proc. of CRV’17, IEEE, Vancouver, Canada, May 2017.
K. Meshgi, S. Oba, S. Ishii, “Active Discriminative Tracking using Collective Memory,” in Proc. of MVA’17, IEEE, Tokyo, Japan, May 2017.
K. Meshgi, S. Oba, and S. Ishii, “Robust Discriminative Tracking via Query-by-Bagging,” in Proc. of AVSS’16, Colorado Springs, USA, Aug 2016.
K. Meshgi, S.i. Maeda, S. Oba, H. Skibbe, Y.Z. Li, S. Ishii, “Occlusion Aware Particle Filter Tracker to Handle Complex and Persistent Occlusions using Multiple Feature Fusion, ” Journal of Computer Vision and Image Understanding, Jun 2016.
K. Meshgi, S.i. Maeda, S. Oba, and S. Ishii, “Data-driven Probabilistic Occlusion Mask to Promote Visual Tracking,” in Proc. of CRV’16, IEEE, British Columbia, Canada, Jun 2016.
K. Meshgi, S. Ishii, “The State-of-the-Art in Handling Occlusions for Visual Object Tracking,” IEICE Transactions on Information and Systems, vol. E98-D, no. 7, pp. 1260-1274, Jul 2015.
K. Meshgi, and S. Ishii, “Expanding Histogram of Colors with Gridding to Improve Tracking Accuracy,” in Proc. of MVA’15, IEEE, Tokyo, Japan, May 2015.
K. Meshgi, S. Maeda, S. Oba, S. Ishii, “Fusion of Multiple Cues from Color and Depth Domains using Occlusion Aware Bayesian Tracker, ” in IEICE Tech. Rep., vol. 113, no. 500, NC2014-22, pp. 127-132, Mar 2014.
K. Meshgi, Y.Z. Li, S. Oba, S. Maeda, S. Ishii, “Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Object Tracking under Occlusion,” in IEICE Tech. Rep., vol. 113, no. 197, IBISML2013-22, pp. 85-91, Sep 2013.
K. Meshgi, “Particle Filter-based Tracking to Handle Persistent and Complex Occlusions and Imitate Arbitrary Black-box Trackers,” Ph.D. Dissertation, Kyoto University, Sep 2015.

Machine Learning

K. Meshgi, S.i. Maeda, S. Oba, S. Ishii, “Constructing a Meta-Tracker using Dropout to Imitate the Behavior of an Arbitrary Black-box Tracker Approximately,” Journal of Neural Networks, 2017.
S. Ebrahimi, K. Meshgi, S. Khadivi, S.E. Shiri Ahmad Abady, “Meta-level Statistical Machine Translation," in Proc. of 6th Int’l Joint Conf. on NLP (IJCNLP'13), Nagoya, Japan, Oct 2013.
S. MasoumZadeh, K. Meshgi, S. Shiry, G. Taghizadeh, “FQL-RED: An Adaptive Scalable Schema for Active Queue Management,” Int'l. J. of Network Mgmt (IJNM), vol. 21, pp.157-167 Wiley, 2011.
S. MasoumZadeh, G. Taghizadeh, K. Meshgi, S. Shiry, “Deep Blue: A Fuzzy Q-Learning Enhanced Active Queue Management Scheme,” in Proc. of Int'l. Conf. on Adaptive and Intelligent Systems (ICAIS'09), Klagenfurt, Austria, 2009.
S. MasoumZadeh, K. Meshgi, S. Shiry, “Adaptive Mutation in Evolution Strategy using Fuzzy Q-Learning,” in Proc. of 13th Iran Computer Association Conf. (ICCSC2008), Kish, Iran, 2008.
K. Meshgi, “Brain Inspired Face Detection,” M.Sc. Dissertation, Tehran PolyTechnic, Oct 2010.

Computational Linguistics

M. S. Mirzaei, K. Meshgi, T. Kawahara, “Exploiting Automatic Speech Recognition Errors to Enhance Partial and Synchronized Caption for Facilitating Second Language Listening,” Computer Speech and Language Journal, 2016 (submitted).
M. S. Mirzaei, K. Meshgi, T. Kawahara, “Detecting listening difficulty for second language learners using Automatic Speech Recognition errors,” in Proc. of SLaTE’17, Stockholm, Sweden, Aug 2017.
M. S. Mirzaei, K. Meshgi, T. Kawahara, “Listening Difficulty Detection to Foster Second Language Listening with Partial and Synchronized Caption,” in Proc. of EuroCALL’17, Southampton, England, Aug 2017.
M. S. Mirzaei, K. Meshgi, Y. Akita, T. Kawahara, “Partial and synchronized captioning: A new tool to assist learners in developing second language listening skill,” ReCALL, 2017.
M. S. Mirzaei, K. Meshgi, T. Kawahara, “Leveraging automatic speech recognition errors to detect challenging speech segments in TED talks,” in Proc. of EuroCALL’16, Limassol, Cyprus, Aug 2016.
M. S. Mirzaei, K. Meshgi, T. Kawahara, “Automatic speech recognition errors as a predictor of L2 listening difficulties,” in Proc. of Coling’16 (CL4LC Workshop), Osaka, Japan, Nov 2016.
M. S. Mirzaei, K. Meshgi, Y. Akita, T. Kawahara, “Errors in Automatic Speech Recognition versus Difficulties in Second Language Listening, ” in Proc. of EuroCALL’15, Padova, Italy, Aug 2015.

Robotics

S. Soleimanpour, S. Shiry, K. Meshgi, “Sensor Fusion in Robot Localization using DS-Evidence Theory with Conflict Detection using Mahalanobis Distance,” Proc. of 7th IEEE Int'l. Conf. on Cybernetic Intelligent Systems (CIS2008), United Kingdom, 2008.
Nemesis 2010 Team Description, RobuCup 2010.

Legend: , , ,

Activities

Honors

Won ICT Innovation Award for PSC, Kyoto University, 2017.
Awarded as Japan Ministry of Economy, Trade and Industry Prize for Winning NEDO Project, as a part of R&D Team, 3D MEDiA Co. Ltd., 2015.
Received Japan Government Monbokagakusho (MEXT) Scholarship from the Ministry of Education, Culture, Sports, Science and Technology, Government of Japan, 2011-2014.
Achieved 3rd Place of Int'l. RoboCup 2005 Competitions, Soccer Coach Simulation League, Member of Kasra Team, Osaka, Japan, 2005.
Recognized as an Exceptional Talent during Master's Program by Amirkabir University of Technology, 2010 (Ranked 1st in Fall 2008 & 2nd in Spring 2008 semesters in Artificial Intelligence Dept.)

Affilitions

IEEE Member (2009~), IEEE Robotics and Automation Society (2010~)
CALICO (2015~)
Robocup Soccer Simulation Team Nemesis (2D Sim, 2010)
Robocup Soccer Simulation Team Aria 3D (3D Sim, 2006~2008)
Robocup Soccer Simulation Team Kasra (2D Coach Sim, 2005)

Services

Editorial Member of Journal of Robotics Engineering and Automation Technology, Gavin Publishers, USA, 2017-present.
Served as a reviewer for ACM Computing Surveys (CSUR), Journal of Neural Computing and Applications (NCAA), Journal of Computer and Communications (JCC), IEICE Transactions on Information and Systems, and ICAIR’16.
Organizing Committee of Int’l Conference on Systems and Informatics, ICSAI’17, Hangzhou, China, 2017.
Organizing Committee of Int’l Conference on Computing Intelligence and Information System, CIIS’17, Nanjing, China, 2017.
Organizing Committee of Int’l Conference on Computer Science and Technology, ICCST’17, Guilin, China, 2017.
Organizing Committee of Intl. Computer Society of Iran Computer Conference, CSICC'09, Tehran, Iran, 2009.
Organizing Committee of 1st and 2nd Conf. of Information & Knowledge Technology, IKT 2003 & IKT 2005, Tehran, Iran, 2003-2005.