Cusuh Ham

21 papers A* 2A 2Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
DreamLoop: Controllable Cinemagraph Generation from a Single Photograph.
CoRR
Aniruddha Mahapatra, Long Mai, Cusuh Ham, Feng Liu
2026 J jnl
TRACE: Object Motion Editing in Videos with First-Frame Trajectory Guidance.
CoRR
Quynh Phung, Long Mai, Cusuh Ham, Feng Liu, Jia-Bin Huang, Aniruddha Mahapatra
2026 J jnl
TokenDial: Continuous Attribute Control in Text-to-Video via Spatiotemporal Token Offsets.
CoRR
Zhixuan Liu, Peter Schaldenbrand, Yijun Li, Long Mai, Aniruddha Mahapatra, Cusuh Ham, Jean Oh, Jui-Hsien Wang
2025 J jnl
CineVerse: Consistent Keyframe Synthesis for Cinematic Scene Composition.
CoRR
Quynh Phung, Long Mai, Fabian David Caba Heilbron, Feng Liu, Jia-Bin Huang, Cusuh Ham
2025 — conf
MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation.
SIGGRAPH (Conference Paper Track)
Jinbo Xing, Long Mai, Cusuh Ham, Jiahui Huang, Aniruddha Mahapatra, Chi-Wing Fu, Tien-Tsin Wong, Feng Liu
2025 J jnl
MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation.
CoRR
Jinbo Xing, Long Mai, Cusuh Ham, Jiahui Huang, Aniruddha Mahapatra, Chi-Wing Fu, Tien-Tsin Wong, Feng Liu
2024 — —
Controllability and Uncertainty in Generative Models.
Cusuh Ham
2024 A* conf
Personalized Residuals for Concept-Driven Text-to-Image Generation.
CVPR
Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz
2024 J jnl
Personalized Residuals for Concept-Driven Text-to-Image Generation.
CoRR
Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz
2023 — conf
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis.
SIGGRAPH (Conference Paper Track)
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
2023 J jnl
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis.
CoRR
Cusuh Ham, James Hays, Jingwan Lu, Krishna Kumar Singh, Zhifei Zhang, Tobias Hinz
2022 — conf
CoGS: Controllable Generation and Search from Sketch and Style.
ECCV (16)
Cusuh Ham, Gemma Canet Tarrés, Tu Bui, James Hays, Zhe Lin, John P. Collomosse
2022 J jnl
CoGS: Controllable Generation and Search from Sketch and Style.
CoRR
Cusuh Ham, Gemma Canet Tarrés, Tu Bui, James Hays, Zhe Lin, John P. Collomosse
2021 A conf
Automatic Differentiation Variational Inference with Mixtures.
AISTATS
Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon
2021 A conf
Density of States Estimation for Out of Distribution Detection.
AISTATS
Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon
2020 J jnl
Automatic Differentiation Variational Inference with Mixtures.
CoRR
Warren R. Morningstar, Sharad M. Vikram, Cusuh Ham, Andrew G. Gallagher, Joshua V. Dillon
2020 J jnl
Density of States Estimation for Out-of-Distribution Detection.
CoRR
Warren R. Morningstar, Cusuh Ham, Andrew G. Gallagher, Balaji Lakshminarayanan, Alexander A. Alemi, Joshua V. Dillon
2019 A* conf
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging.
CVPR
Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays
2019 J jnl
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging.
CoRR
Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays
2019 — conf
Learning to Generate Textures on 3D Meshes.
CVPR Workshops
Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir G. Kim, Jingwan Lu, James Hays
2016 J jnl
The sketchy database: learning to retrieve badly drawn bunnies.
ACM Trans. Graph.
Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, James Hays