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Quan Kong

Staff Research Scientist
Woven by Toyota, Inc.
Email: quan.kong [at] woven-planet (dot) global

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Research Topics
  • Machine Learning
  • Computer Vision
  • Ubiquitous Computing
  • Multi-Modal Perception

I am a staff research scientist at Woven by Toyota, Inc. working on computer vision. My concentric is about Machine Learning and the usage of it on Computer Vision, Ubiquitous Computing and Multi-Modal Perception. Before working at Woven by Toyota, I was a senior researcher of Hitachi, Ltd. R&D Japan working on large scale surveillance video analysis system, and a visiting researcher of Department of DBI at ATR working on home automation. I finished my Ph.D. and M.S. at Osaka University, advised by Takuya Maekawa, Norihisa Komoda and Yasuyuki Matsushita, and my undergraduate degrees at Xi'an Jiao Tong University.

News

  • One paper was accepted by WACV 2024.
  • One paper was accepted by AAAI 2023.
  • One paper was accepted by ICCV 2023.
  • One paper was accepted by CVPR 2023.
  • My previous work about automatic baggage screening system in Hitachi was honored with Field Innovation Award from JSAI.
  • Joined Woven Planet Holdings (now Woven by Toyota, Inc.)from Mar. 2022 working on Toyota Woven City, a smart city located around Mt.Fuji.
  • MMAct Challenge will be held on CVPR2021 in conjunction with ActivityNet workshop.
  • Our team (VAS) achieved Top level results on TRECVID2020 DSDI task.
  • One paper was accepted by NeruIPS 2020.
  • Large-scale multi-modal video action understanding dataset MMAct has been released for using !
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Projects

  • Human-Centered Perception for Smart City
  • Human Video Action Understanding for VCA & VSaaS
  • Large Scale Survillance Video Analysis System
  • Patent Drawing Retrieval System
  • Image Classification/Segmentation for Automatic X-ray Baggage Screening System
  • Real World Context Recognition and Its Application for Supporting Interaction in Smart Environment (Ph.D. Thesis)

Professional Service

  • IJCAI PC member
  • MobiQuitous PC member
  • IPSJ JIP (Journal of Information Processing) Editorial Board Member (2017-2019)
  • ICCV, CVPR, IJCAI, WACV, AAAI, ICDM, ICMR, IEEE TIP, IEEJ Transactions, IPSJ JIP Reviewer
  • IPSJ SIGUBI Committee Member (2017-2019)