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Cusuh Ham
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The sketchy database: learning to retrieve badly drawn bunnies
P Sangkloy, N Burnell, C Ham, J Hays
ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016
6532016
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
S Brahmbhatt, C Ham, CC Kemp, J Hays
IEEE Conference on Computer Vision and Pattern Recognition, 2019
1582019
Density of states estimation for out of distribution detection
W Morningstar, C Ham, A Gallagher, B Lakshminarayanan, A Alemi, ...
International Conference on Artificial Intelligence and Statistics, 3232-3240, 2021
792021
Automatic differentiation variational inference with mixtures
W Morningstar, S Vikram, C Ham, A Gallagher, J Dillon
International Conference on Artificial Intelligence and Statistics, 3250-3258, 2021
172021
Learning to generate textures on 3d meshes
A Raj, C Ham, C Barnes, V Kim, J Lu, J Hays
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
162019
CoGS: Controllable Generation and Search from Sketch and Style
C Ham, GC Tarres, T Bui, J Hays, Z Lin, J Collomosse
European Conference on Computer Vision, 2022
142022
Modulating pretrained diffusion models for multimodal image synthesis
C Ham, J Hays, J Lu, KK Singh, Z Zhang, T Hinz
ACM SIGGRAPH 2023 Conference Proceedings, 1-11, 2023
132023
Compositional generation of images
A Raj, C Ham, H Alamri, V Cartillier, S Lee, J Hays
Advances in Neural Information Processing Systems Visually-Grounded …, 2017
22017
Variational image inpainting
C Ham, A Raj, V Cartillier, I Essa
Advances in Neural Information Processing Systems Bayesian Deep Learning, 2018
2018
RT 117: Development and Application of the Framework for Assessing Cost and Technology (FACT) to Support USMC Ground Vehicle Design Analysis
S Balestrini-Robinson, D Freeman, M Rost, D Mehta, T Mark, R Kempf, ...
2015
Personalized Residuals for Concept-Driven Text-to-Image Generation
C Ham, M Fisher, J Hays, N Kolkin, Y Liu, R Zhang, T Hinz
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Articles 1–11