Ming-Yu Liu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 131

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone
Wolf: Captioning Everything with a World Summarization Framework. CoRR (2024)
Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CoRR (2024)
Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation. CoRR (2024)
Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han
Condition-Aware Neural Network for Controlled Image Generation. CoRR (2024)
Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CoRR (2024)
Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu
SPACE: Speech-driven Portrait Animation with Controllable Expression. ICCV (2023)
Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR (2023)
Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
Neuralangelo: High-Fidelity Neural Surface Reconstruction. CVPR (2023)
Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
Neuralangelo: High-Fidelity Neural Surface Reconstruction. CoRR (2023)
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. CoRR (2023)
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. ICCV (2023)
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CoRR (2023)
Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. ICML (2023)
Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) (2023)
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
ATT3D: Amortized Text-to-3D Object Synthesis. CoRR (2023)
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
ATT3D: Amortized Text-to-3D Object Synthesis. ICCV (2023)
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CVPR (2023)
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
Magic3D: High-Resolution Text-to-3D Content Creation. CVPR (2023)
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Multimodal Conditional Image Synthesis with Product-of-Experts GANs. ECCV (16) (2022)
Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
Generating Long Videos of Dynamic Scenes. NeurIPS (2022)
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
Implicit Neural Representations with Levels-of-Experts. NeurIPS (2022)
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
Magic3D: High-Resolution Text-to-3D Content Creation. CoRR (2022)
Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Implicit Warping for Animation with Image Sets. NeurIPS (2022)
Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation. ACM Trans. Graph. 41 (6) (2022)
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. CoRR (2022)
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Mustafa Fayez Ali, Ming-Yu Liu, Brucek Khailany, William J. Dally, Anima Anandkumar
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update. IEEE Trans. Computers 71 (12) (2022)
Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu
SPACEx: Speech-driven Portrait Animation with Controllable Expression. CoRR (2022)
Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
Generating Long Videos of Dynamic Scenes. CoRR (2022)
Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation. CoRR (2022)
Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Implicit Warping for Animation with Image Sets. CoRR (2022)
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
Multimodal Conditional Image Synthesis with Product-of-Experts GANs. CoRR (2021)
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. CoRR (2021)
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. NeurIPS (2021)
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. CVPR (2021)
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. ICCV (2021)
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Ming-Yu Liu, Brucek Khailany, Bill Dally, Anima Anandkumar
Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update. CoRR (2021)
Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz
Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (7) (2021)
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. CoRR (2021)
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications. Proc. IEEE 109 (5) (2021)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. CVPR (2020)
Kuniaki Saito, Kate Saenko, Ming-Yu Liu
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. CoRR (2020)
Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue
Learning compositional functions via multiplicative weight updates. CoRR (2020)
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications. CoRR (2020)
Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue
Learning compositional functions via multiplicative weight updates. NeurIPS (2020)
Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. NGT@ACL (2020)
Jun-Yan Zhu, Hongsheng Li, Eli Shechtman, Ming-Yu Liu, Jan Kautz, Antonio Torralba
Guest Editorial: Generative Adversarial Networks for Computer Vision. Int. J. Comput. Vis. 128 (10) (2020)
Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. CoRR (2020)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
: A Unified Framework Towards Omni-supervised Object Detection. ECCV (19) (2020)
Kuniaki Saito, Kate Saenko, Ming-Yu Liu
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. ECCV (3) (2020)
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu
On the distance between two neural networks and the stability of learning. CoRR (2020)
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. CoRR (2020)
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu
On the distance between two neural networks and the stability of learning. NeurIPS (2020)
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 42 (6) (2020)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection. CoRR (2020)
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. CVPR (2020)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection. CoRR (2020)
Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox
SymGAN: Orientation Estimation without Annotation for Symmetric Objects. WACV (2020)
Kuo-Hao Zeng, Mohammad Shoeybi, Ming-Yu Liu
Style Example-Guided Text Generation using Generative Adversarial Transformers. CoRR (2020)
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
World-Consistent Video-to-Video Synthesis. ECCV (8) (2020)
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
World-Consistent Video-to-Video Synthesis. CoRR (2020)
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
Neural Turtle Graphics for Modeling City Road Layouts. ICCV (2019)
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
Meta-Sim: Learning to Generate Synthetic Datasets. ICCV (2019)
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. CVPR (2019)
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
Few-shot Video-to-Video Synthesis. CoRR (2019)
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
Few-Shot Unsupervised Image-to-Image Translation. CoRR (2019)
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
Semantic Image Synthesis With Spatially-Adaptive Normalization. CVPR (2019)
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. CoRR (2019)
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie, Bharath Hariharan
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows. CoRR (2019)
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Bryan Catanzaro, Jan Kautz
Few-shot Video-to-Video Synthesis. NeurIPS (2019)
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. CoRR (2019)
Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz
Boosting segmentation with weak supervision from image-to-image translation. CoRR (2019)
Cheng-Kuan Chen, Zhu Feng Pan, Ming-Yu Liu, Min Sun
Unsupervised Stylish Image Description Generation via Domain Layer Norm. AAAI (2019)
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
Semantic Image Synthesis with Spatially-Adaptive Normalization. CoRR (2019)
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
Few-Shot Unsupervised Image-to-Image Translation. ICCV (2019)
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
Dancing to Music. CoRR (2019)
Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CoRR (2019)
Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry S. Davis, Jan Kautz
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR (2019)
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie, Bharath Hariharan
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows. ICCV (2019)
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
Meta-Sim: Learning to Generate Synthetic Datasets. CoRR (2019)
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
Dancing to Music. NeurIPS (2019)
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
Neural Turtle Graphics for Modeling City Road Layouts. CoRR (2019)
Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz
Learning Binary Residual Representations for Domain-Specific Video Streaming. AAAI (2018)
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
Context-aware Synthesis and Placement of Object Instances. NeurIPS (2018)
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, Bryan Catanzaro
Video-to-Video Synthesis. NeurIPS (2018)
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
Context-Aware Synthesis and Placement of Object Instances. CoRR (2018)
Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz
Learning Superpixels With Segmentation-Aware Affinity Loss. CVPR (2018)
Huaijin G. Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning. CoRR (2018)
Xun Huang, Ming-Yu Liu, Serge J. Belongie, Jan Kautz
Multimodal Unsupervised Image-to-Image Translation. CoRR (2018)
Huaijin G. Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz
Reblur2Deblur: Deblurring videos via self-supervised learning. ICCP (2018)
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. CVPR (2018)
Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation. CoRR (2018)
Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz
A Closed-Form Solution to Photorealistic Image Stylization. ECCV (3) (2018)
Cheng-Kuan Chen, Zhu Feng Pan, Min Sun, Ming-Yu Liu
Unsupervised Stylish Image Description Generation via Domain Layer Norm. CoRR (2018)
Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
Superpixel Sampling Networks. ECCV (7) (2018)
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume. CVPR (2018)
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
Localization-Aware Active Learning for Object Detection. ACCV (6) (2018)
Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
Superpixel Sampling Networks. CoRR (2018)
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
Video-to-Video Synthesis. CoRR (2018)
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz
MoCoGAN: Decomposing Motion and Content for Video Generation. CVPR (2018)
Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu
The 2018 NVIDIA AI City Challenge. CVPR Workshops (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ming-Yu Liu