Shu Kong

Assistant Professor; University of Macau [GitHub] [Google Scholar]
Home Publication Datasets Group Contact

I am on the faculty of FST, University of Macau, leading the Computer Vision Lab. I am currently also with the Okinawa Institute of Science and Technology (OIST). I was an Assistant Professor in the Department of CSE at Texas A&M University. I did my postdoc training at the Robotics Institute, CMU, working with Deva Ramanan. I received my PhD from UC-Irvine, working with Charless Fowlkes.

My research lies in Computer Vision and its interactions with other fields (e.g., ML, NLP, HCI, robotics, and graphics), broad applications (e.g., AR/VR and autonomous driving), and diverse disciplines (e.g., biology and paleoecology). I have been promoting the research topic Open-World Vision, on which my ICCV'21 paper was recognized for Best Paper / Marr Prize. On this topic, I study how to make vision algorithm applicable in the real open world, e.g., through interdisciplinary research. My previous interdisciplinary research built a high-throughput pollen analysis system, which was featured by the National Science Foundation that "opens a new era of fossil pollen research". Currently, I'm establishing the research theme Auto-Annotation from Expert-Crafted Annotation Guidelines (AutoExpert).

I am actively looking for self-motivated PhD students at CIS, FST, University of Macau. PhD students will be fully funded with fellowships. I am NOT taking PhD applicants in CSE, TAMU.

Email contact

  • related to UM: skong [at] um [dot] edu [dot] mo
  • related to OIST: shu.kong [at] oist [dot] jp
  • related to TAMU: shu [at] tamu [dot] edu
  • others: aimerykong [at] gmail [dot] com

Call for Participations

Teaching

Workshops

Professional services

Updates