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, advised by 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. I'm interested in improving image synthesis methods and investigating how incorporating synthetic data generation into computer vision systems affects the representation learning and scene understanding of these systems.

Selected Honors & Awards

  • National Science Foundation Graduate Research Fellowship (NSF GRF) (Mar 2023 - Present)
  • Egleston Scholar, Columbia Engineering (Sep 2019 - May 2023)
  • Publications

    Customizing Text-to-Image Diffusion with Camera Viewpoint Control
    Nupur Kumari*, Grace Su*, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
    SIGGRAPH ASIA, 2024
    Paper Project Website Code
    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, 2023 [Accepted]
    Paper Project Website Code
    Mixed Reality Synthetic Data Generation
    Grace Su, Khiem Vuong, N. Dinesh Reddy, Srinivasa Narasimhan
    Robotics Institute Summer Scholars Working Papers Journal , 2022
    Paper Project Website Code
    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
    Paper
    Unemployment in the AI Age
    Grace Su
    AI Matters, 2018
    Paper