I'm a research scientist at Adobe. I received my PhD in machine learning under James Hays at the Georgia Institute of Technology, where I also received my BS and MS degrees in computer science. My research interest primarily lies in the intersection of computer vision and machine learning. In particular, I'm interested in multimodal learning and image/video generation.
Previously, I was a research intern at Adobe (2x under Tobias Hinz, 1x under John Collomosse and Zhe Lin), research intern & student researcher at Google (1x under Aaron Sarna, 1x under Andrew Gallagher), and a visiting student at the Max Planck Institute for Intelligent Systems under Andreas Geiger. I was awarded the Marshall D. Williamson Fellowship during my Master's.
Prospective interns: Please email me your CV and a brief description of what you'd like to work on.
Personalized Residuals for Concept-Driven Text-to-Image Generation
Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz | CVPR 2024
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz | SIGGRAPH Conference Proceedings 2023
CoGS: Controllable Generation and Search from Sketch and Style
Cusuh Ham*, Gemma Canet Tarrés*, Tu Bui, James Hays, Zhe Lin, John Collomosse | ECCV 2022
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)
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)
Variational Image Inpainting
Cusuh Ham*, Amit Raj*, Vincent Cartillier*, Irfan Essa | NeurIPS Bayesian Deep Learning 2018
Compositional Generation of Images
Amit Raj*, Cusuh Ham*, Huda Alamri*, Vincent Cartillier*, Stefan Lee, James Hays | NeurIPS Visually-Grounded Interaction and Language 2017
The Sketchy Database: Learning to Retrieve Badly Drawn Bunnies
Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, James Hays | SIGGRAPH 2016- CS 4476 / 6476
- Spring 2022, head TA
- Fall 2017
- Fall 2016
- CS 4476
- Fall 2019, head TA
- CS 6476
- Spring 2021, head TA
- Spring 2019 (OMS CS)
- Fall 2018, head TA
- Spring 2018