Mitch Hill

17 papers A* 7Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A* conf
OmniMotionGPT: Animal Motion Generation with Limited Data.
CVPR
Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang
2024 J jnl
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions.
CoRR
Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill
2024 — conf
Towards Open Domain Text-Driven Synthesis of Multi-person Motions.
ECCV (65)
Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill
2023 J jnl
OmniMotionGPT: Animal Motion Generation with Limited Data.
CoRR
Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang
2022 J jnl
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling.
CoRR
Mitch Hill, Jonathan Mitchell, Chu Chen, Yuan Du, Mubarak Shah, Song-Chun Zhu
2022 A* conf
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM.
NeurIPS
Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu
2022 J jnl
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM.
CoRR
Mitch Hill, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu
2022 A* conf
Self-Joint Supervised Learning.
ICLR
Navid Kardan, Mubarak Shah, Mitch Hill
2021 A* conf
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models.
ICLR
Mitch Hill, Jonathan Craig Mitchell, Song-Chun Zhu
2020 — —
Learning and Mapping Energy Functions of High-Dimensional Image Data.
Mitch Hill
2020 A* conf
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models.
AAAI
Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu
2020 J jnl
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models.
CoRR
Mitch Hill, Jonathan Mitchell, Song-Chun Zhu
2019 A* conf
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model.
CVPR
Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu
2019 A* conf
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model.
NeurIPS
Erik Nijkamp, Mitch Hill, Song-Chun Zhu, Ying Nian Wu
2019 J jnl
On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models.
CoRR
Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu
2018 J jnl
Building a Telescope to Look Into High-Dimensional Image Spaces.
CoRR
Mitch Hill, Erik Nijkamp, Song-Chun Zhu
2018 J jnl
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model.
CoRR
Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu