About Me

I'm a second year Machine Learning PhD student advised by James Hays at the Georgia Institute of Technology, where I received my BS and MS degrees in Computer Science. Currently, I'm a research intern at Adobe under John Collomosse and Zhe Lin. My research interest primarily lies in the intersection of computer vision and machine learning. I organize the computer vision reading group at Georgia Tech.

Previously, I was a research intern/student researcher at Google Research under Aaron Sarna and Andrew Gallagher, and a visiting student with the Autonomous Vision Group under Andreas Geiger at the Max Planck Institute for Intelligent Systems. I was awarded the Marshall D. Williamson Fellowship during my Master's. Outside of school, I like playing tennis, violin, or piano. I also enjoy watching soccer, traveling, and trying new foods!


  • Density of States Estimation for Out-of-Distribution Detection

    Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon
    AISTATS 2021 (oral)

  • Automatic Differentiation Variational Inference with Mixtures

    Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon
    AISTATS 2021

  • ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging

    Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays
    CVPR 2019 (oral)
    Project page | Blog post

  • Learning to Generate Textures on 3D Meshes

    Amit Raj, Cusuh Ham, Connelly Barnes, James Hays, Vladimir Kim, Jingwan Lu
    CVPR Deep Generative Models for 3D Understanding 2019 (best paper)
    Paper | Workshop page

  • Variational Image Inpainting

    Cusuh Ham*, Amit Raj*, Vincent Cartillier*, Irfan Essa
    NeurIPS Bayesian Deep Learning 2018
    Paper | Workshop page

  • Compositional Generation of Images

    Amit Raj*, Cusuh Ham*, Huda Alamri*, Vincent Cartillier*, Stefan Lee, James Hays
    NeurIPS Visually-Grounded Interaction and Language 2017
    Paper | Workshop page

  • The Sketchy Database: Learning to Retrieve Badly Drawn Bunnies

    Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, James Hays
    SIGGRAPH 2016
    Project page | New Scientist article | Smithsonian article


  • Spring 2021: CS 6476 Computer Vision, head TA
  • Fall 2019: CS 4476 Computer Vision, head TA
  • Spring 2019: CS 6476 Computer Vision (OMS CS)
  • Fall 2018: CS 6476 Computer Vision, head TA
  • Spring 2018: CS 7476 Advanced Computer Vision
  • Fall 2017: CS 4476/6476 Computer Vision
  • Fall 2016: CS 4476/6476 Computer Vision