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ORCIDCusuh Ham
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2020 – today
- 2024
[b1]Cusuh Ham:
Controllability and Uncertainty in Generative Models. Georgia Institute of Technology, Atlanta, GA, USA, 2024- [c7]Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CVPR 2024: 8186-8195 - [i6]Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CoRR abs/2405.12978 (2024) - 2023
- [c6]Cusuh Ham
, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz:
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. SIGGRAPH (Conference Paper Track) 2023: 35:1-35:11 - [i5]Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz:
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis. CoRR abs/2302.12764 (2023) - 2022
- [c5]Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse:
CoGS: Controllable Generation and Search from Sketch and Style. ECCV (16) 2022: 632-650 - [i4]Cusuh Ham, Gemma Canet Tarres, Tu Bui, James Hays, Zhe Lin, John P. Collomosse:
CoGS: Controllable Generation and Search from Sketch and Style. CoRR abs/2203.09554 (2022) - 2021
- [c4]Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon:
Density of States Estimation for Out of Distribution Detection. AISTATS 2021: 3232-3240 - [c3]Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon:
Automatic Differentiation Variational Inference with Mixtures. AISTATS 2021: 3250-3258 - 2020
- [i3]Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon:
Automatic Differentiation Variational Inference with Mixtures. CoRR abs/2003.01687 (2020) - [i2]Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon:
Density of States Estimation for Out-of-Distribution Detection. CoRR abs/2006.09273 (2020)
2010 – 2019
- 2019
- [c2]Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir G. Kim, Jingwan Lu, James Hays:
Learning to Generate Textures on 3D Meshes. CVPR Workshops 2019: 32-38 - [c1]Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays:
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging. CVPR 2019: 8709-8719 - [i1]Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays:
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging. CoRR abs/1904.06830 (2019) - 2016
- [j1]Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, James Hays:
The sketchy database: learning to retrieve badly drawn bunnies. ACM Trans. Graph. 35(4): 119:1-119:12 (2016)
Coauthor Index
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