Shu Kong

Assistant Professor, Texas A&M University [GitHub] [Google Scholar]
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I am an incoming assistant professor at Texas A&M University in the CSE department, where I lead the Computer Vision Lab. I am a postdoctoral fellow at the Robotics Institute, CMU, working with Deva Ramanan. I received a Ph.D. from UC-Irvine, where I worked with Charless Fowlkes.

My research interests span Computer Vision and applied Machine Learning (CV/ML), and their applications to autonomous vehicles and research in natural science. My current research in CV/ML focuses 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 looking for self-motivated PhD students starting Spring/Fall 2023 from CSE department, TAMU. PhD students will be fully funded with fellowships. Please feel free to contact me if interested.


  • gmail: aimerykong [at] gmail [dot] com
  • email: shu [at] tamu [dot] edu



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