Shu Kong

Assistant Professor; University of Macau, Texas A&M University [GitHub] [Google Scholar]
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I am on the faculty of FST, University of Macau, and CSE, Texas A&M University. I lead the Computer Vision Lab. I did my postdoc training at the Robotics Institute, CMU, working with Deva Ramanan. I received my PhD from UC-Irvine, where I worked with Charless Fowlkes.

My research lies in Computer Vision, and its interactions with other fields (e.g., machine learning, robotics, NLP, HCI, and graphics), broad applications (e.g., AR/VR, autonomous driving, etc.), and diverse disciplines (e.g., biology, paleoecology, psychology, special education, etc.). My current research focus is on Visual Perception via Learning in the Open World (VPLOW). My recent paper on this topic was recognized for Best Paper / Marr Prize at ICCV 2021. I also actively apply my algorithms to interdisciplinary research including building a high-throughput pollen analysis system, which was featured by the National Science Foundation as that “opens a new era of fossil pollen research”.

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 actively looking for PhD students at CSE, TAMU.


  • email: shu [at] tamu [dot] edu [issues related to TAMU]
  • email: skong [at] um [dot] edu [dot] mo [issues related to the University of Macau]
  • gmail: aimerykong [at] gmail [dot] com [issues related to others; unlikely to reply]



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