Grace Su

Master of Science in Robotics
Carnegie Mellon University
E-mail: gdsu [at] andrew [dot] cmu [dot] edu

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About Me

I'm currently pursuing a Master of Science in Robotics at Carnegie Mellon University and doing research with Prof. Jun-Yan Zhu in the Generative Intelligence Lab. I received my Bachelor of Science from Columbia University, where I majored in Computer Science and minored in Applied Mathematics.

My main research interest is in computer vision, especially with respect to synthetic data generation, representation learning, and scene understanding. My objective is to research and develop robust computer vision systems that can work in the real world to assist humans by intelligently interpreting their surroundings and learning meaningful, informative visual representations.

To this end, I’ve explored different research areas and built a broad foundation of knowledge in intelligent perception. Since Jun. 2020, I have been working on the University of Chicago's DeepScribe computer vision project for automatically transcribing photos of cuneiform tablets with Prof. Sanjay Krishnan. In Jan. 2021, I joined the Columbia University Digital Video and Multimedia Lab and worked on grounded video event extraction with Prof. Shih-Fu Chang. In Jun. 2021, I researched "Concept Whitening for Transfer of Concepts in Imitation Learning" at the Carnegie Mellon University Robotics Institute Summer Scholars Program (CMU RISS) with Prof. Katia Sycara. In Jun. 2022, I researched "Mixed Reality Synthetic Data Generation" at the CMU RISS program with Prof. Srinivasa Narasimhan.

Selected Honors & Awards

  • National Science Foundation Graduate Research Fellowship (NSF GRF) (Mar 2023 - Present)
  • Egleston Scholar, Columbia Engineering (Sep 2019 - May 2023)
  • Teradyne Scholarship (Jul 2021)
  • Winner of the ACM SIGAI Student Essay Contest on the Responsible Use of AI Technologies (Dec 2017)
  • Research Publications

    DeepScribe: Localization and Classification of Elamite Cuneiform Signs via Deep Learning
    Edward C. Williams, Grace Su, Sandra R. Schloen, Miller C. Prosser, Susanne Paulus, Sanjay Krishnan
    ACM Journal on Computing and Cultural Heritage, 2022 [Accepted]
    Paper Code Project Website
    Mixed Reality Synthetic Data Generation
    Grace Su, Khiem Vuong, N. Dinesh Reddy, Srinivasa Narasimhan
    Robotics Institute Summer Scholars Working Papers Journal , 2022
    Paper Code Project Website
    Concept Whitening for Transfer of Concepts in Imitation Learning
    Grace Su, Ini Oguntola, Dana Hughes, Joseph Campbell, Katia Sycara
    Robotics Institute Summer Scholars Working Papers Journal , 2021
    Unemployment in the AI Age
    Grace Su
    AI Matters, 2018