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ORCIDMing-Yu Liu 0001
Person information
- affiliation: Nvidia Research
- affiliation: Mitsubishi Electric Research Labs (MERL)
- affiliation: University Of Maryland
Other persons with the same name
- Ming-Yu Liu 0002 — Zhejiang University
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2020 – today
- 2024
[c73]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. CVPR 2024: 6786-6795- [c72]Han Cai, Muyang Li, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. CVPR 2024: 7194-7203 - [c71]Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui:
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. CVPR 2024: 14033-14042 - [c70]Shuqi Dai
, Ming-Yu Liu, Rafael Valle, Siddharth Gururani:
ExpressiveSinger: Multilingual and Multi-Style Score-based Singing Voice Synthesis with Expressive Performance Control. ACM Multimedia 2024: 3229-3238 - [i71]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 abs/2402.19481 (2024) - [i70]Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. CoRR abs/2404.01143 (2024) - [i69]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 abs/2404.19752 (2024) - [i68]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 abs/2407.06187 (2024) - [i67]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 abs/2407.18908 (2024) - [i66]Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. CoRR abs/2409.02908 (2024) - [i65]Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang:
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation. CoRR abs/2409.18114 (2024) - [i64]Zhendong Wang, Zhaoshuo Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj S. Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng:
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. CoRR abs/2410.21257 (2024) - [i63]Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang:
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. CoRR abs/2411.07126 (2024) - [i62]Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Samuel Huffman, Jingyi Jin, J. P. Lewis, Zhaoshuo Li, Chen-Hsuan Lin, Yen-Chen Lin, Tsung-Yi Lin, Ming-Yu Liu, Alice Luo, Qianli Ma, Jacob Munkberg, Stella Shi, Fangyin Wei, Donglai Xiang, Jiashu Xu, Xiaohui Zeng, Qinsheng Zhang:
Edify 3D: Scalable High-Quality 3D Asset Generation. CoRR abs/2411.07135 (2024) - 2023
- [c69]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: 300-309 - [c68]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: 8456-8465 - [c67]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CVPR 2023: 10188-10198 - [c66]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: 11844-11857 - [c65]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: 17900-17910 - [c64]Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu:
SPACE: Speech-driven Portrait Animation with Controllable Expression. ICCV 2023: 20857-20866 - [c63]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: 22873-22884 - [c62]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: 32483-32498 - [i61]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 abs/2302.04858 (2023) - [i60]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CoRR abs/2303.17076 (2023) - [i59]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 abs/2305.10474 (2023) - [i58]Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin:
Neuralangelo: High-Fidelity Neural Surface Reconstruction. CoRR abs/2306.03092 (2023) - [i57]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 abs/2306.07349 (2023) - 2022
- [j8]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): 3179-3190 (2022) - [j7]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): 231:1-231:21 (2022) - [c61]Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu:
Multimodal Conditional Image Synthesis with Product-of-Experts GANs. ECCV (16) 2022: 91-109 - [c60]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 - [c59]Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu:
Implicit Neural Representations with Levels-of-Experts. NeurIPS 2022 - [c58]Arun Mallya, Ting-Chun Wang, Ming-Yu Liu:
Implicit Warping for Animation with Image Sets. NeurIPS 2022 - [i56]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 abs/2206.03429 (2022) - [i55]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 abs/2209.10510 (2022) - [i54]Arun Mallya, Ting-Chun Wang, Ming-Yu Liu:
Implicit Warping for Animation with Image Sets. CoRR abs/2210.01794 (2022) - [i53]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 abs/2211.01324 (2022) - [i52]Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu:
SPACEx: Speech-driven Portrait Animation with Controllable Expression. CoRR abs/2211.09809 (2022) - [i51]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 abs/2211.10440 (2022) - 2021
- [j6]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): 2360-2372 (2021) - [j5]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): 839-862 (2021) - [c57]Ting-Chun Wang, Arun Mallya, Ming-Yu Liu:
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. CVPR 2021: 10039-10049 - [c56]Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu:
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. ICCV 2021: 14052-14062 - [c55]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: 6087-6101 - [i50]Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu:
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. CoRR abs/2104.07659 (2021) - [i49]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 abs/2106.13914 (2021) - [i48]Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler:
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. CoRR abs/2111.04276 (2021) - [i47]Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu:
Multimodal Conditional Image Synthesis with Product-of-Experts GANs. CoRR abs/2112.05130 (2021) - 2020
- [j4]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): 2363-2365 (2020) - [j3]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): 1408-1423 (2020) - [c54]Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz:
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. NGT@ACL 2020: 10-23 - [c53]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: 10595-10604 - [c52]Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz:
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. CVPR 2020: 11263-11272 - [c51]Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz:
UFO2: A Unified Framework Towards Omni-supervised Object Detection. ECCV (19) 2020: 288-313 - [c50]Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu:
World-Consistent Video-to-Video Synthesis. ECCV (8) 2020: 359-378 - [c49]Kuniaki Saito, Kate Saenko, Ming-Yu Liu:
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. ECCV (3) 2020: 382-398 - [c48]Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu:
On the distance between two neural networks and the stability of learning. NeurIPS 2020 - [c47]Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue:
Learning compositional functions via multiplicative weight updates. NeurIPS 2020 - [c46]Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox:
SymGAN: Orientation Estimation without Annotation for Symmetric Objects. WACV 2020: 1657-1666 - [i46]Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu:
On the distance between two neural networks and the stability of learning. CoRR abs/2002.03432 (2020) - [i45]Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz:
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. CoRR abs/2002.06525 (2020) - [i44]Kuo-Hao Zeng, Mohammad Shoeybi, Ming-Yu Liu:
Style Example-Guided Text Generation using Generative Adversarial Transformers. CoRR abs/2003.00674 (2020) - [i43]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 abs/2004.04725 (2020) - [i42]Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue:
Learning compositional functions via multiplicative weight updates. CoRR abs/2006.14560 (2020) - [i41]Kuniaki Saito, Kate Saenko, Ming-Yu Liu:
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. CoRR abs/2007.07431 (2020) - [i40]Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu:
World-Consistent Video-to-Video Synthesis. CoRR abs/2007.08509 (2020) - [i39]Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya:
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications. CoRR abs/2008.02793 (2020) - [i38]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 abs/2010.10804 (2020) - [i37]Ting-Chun Wang, Arun Mallya, Ming-Yu Liu:
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. CoRR abs/2011.15126 (2020)
2010 – 2019
- 2019
- [c45]Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun:
Unsupervised Stylish Image Description Generation via Domain Layer Norm. AAAI 2019: 8151-8158 - [c44]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: 264-272 - [c43]Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu:
Semantic Image Synthesis With Spatially-Adaptive Normalization. CVPR 2019: 2337-2346 - [c42]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: 8797-8806 - [c41]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: 4521-4529 - [c40]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: 4540-4549 - [c39]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: 4550-4559 - [c38]Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz:
Few-Shot Unsupervised Image-to-Image Translation. ICCV 2019: 10550-10559 - [c37]Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz:
Dancing to Music. NeurIPS 2019: 3581-3591 - [c36]Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Bryan Catanzaro, Jan Kautz:
Few-shot Video-to-Video Synthesis. NeurIPS 2019: 5014-5025 - [i36]Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu:
Semantic Image Synthesis with Spatially-Adaptive Normalization. CoRR abs/1903.07291 (2019) - [i35]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 abs/1903.09254 (2019) - [i34]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 abs/1904.01636 (2019) - [i33]Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz:
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CoRR abs/1904.09288 (2019) - [i32]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 abs/1904.11621 (2019) - [i31]Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz:
Few-Shot Unsupervised Image-to-Image Translation. CoRR abs/1905.01723 (2019) - [i30]Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie, Bharath Hariharan:
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows. CoRR abs/1906.12320 (2019) - [i29]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 abs/1910.02055 (2019) - [i28]Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro:
Few-shot Video-to-Video Synthesis. CoRR abs/1910.12713 (2019) - [i27]Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz:
Dancing to Music. CoRR abs/1911.02001 (2019) - [i26]Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz:
UNAS: Differentiable Architecture Search Meets Reinforcement Learning. CoRR abs/1912.07651 (2019) - 2018
- [c35]Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Learning Binary Residual Representations for Domain-Specific Video Streaming. AAAI 2018: 7363-7370 - [c34]Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu:
Localization-Aware Active Learning for Object Detection. ACCV (6) 2018: 506-522 - [c33]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: 53-60 - [c32]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: 568-576 - [c31]Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz:
MoCoGAN: Decomposing Motion and Content for Video Generation. CVPR 2018: 1526-1535 - [c30]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: 8798-8807 - [c29]Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume. CVPR 2018: 8934-8943 - [c28]Xun Huang, Ming-Yu Liu, Serge J. Belongie, Jan Kautz:
Multimodal Unsupervised Image-to-Image Translation. ECCV (3) 2018: 179-196 - [c27]Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. ECCV (7) 2018: 363-380 - [c26]Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz:
A Closed-Form Solution to Photorealistic Image Stylization. ECCV (3) 2018: 468-483 - [c25]Huaijin G. Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz:
Reblur2Deblur: Deblurring videos via self-supervised learning. ICCP 2018: 1-9 - [c24]Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Video-to-Video Synthesis. NeurIPS 2018: 1152-1164 - [c23]Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Context-aware Synthesis and Placement of Object Instances. NeurIPS 2018: 10414-10424 - [i25]Huaijin G. Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz:
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning. CoRR abs/1801.05117 (2018) - [i24]Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu:
Localization-Aware Active Learning for Object Detection. CoRR abs/1801.05124 (2018) - [i23]Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz:
A Closed-form Solution to Photorealistic Image Stylization. CoRR abs/1802.06474 (2018) - [i22]Xun Huang, Ming-Yu Liu, Serge J. Belongie, Jan Kautz:
Multimodal Unsupervised Image-to-Image Translation. CoRR abs/1804.04732 (2018) - [i21]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 abs/1807.09384 (2018) - [i20]Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. CoRR abs/1807.10174 (2018) - [i19]Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Video-to-Video Synthesis. CoRR abs/1808.06601 (2018) - [i18]Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. CoRR abs/1809.05571 (2018) - [i17]Cheng-Kuan Chen, Zhufeng Pan, Min Sun, Ming-Yu Liu:
Unsupervised Stylish Image Description Generation via Domain Layer Norm. CoRR abs/1809.06214 (2018) - [i16]Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Context-Aware Synthesis and Placement of Object Instances. CoRR abs/1812.02350 (2018) - 2017
- [c22]Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun:
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos. CVPR 2017: 1396-1405 - [c21]Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam:
CASENet: Deep Category-Aware Semantic Edge Detection. CVPR 2017: 1761-1770 - [c20]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. ICLR (Workshop) 2017 - [c19]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. IJCAI 2017: 3756-3762 - [c18]Ming-Yu Liu, Thomas M. Breuel, Jan Kautz:
Unsupervised Image-to-Image Translation Networks. NIPS 2017: 700-708 - [i15]Kota Hara, Ming-Yu Liu, Oncel Tuzel, Amir-massoud Farahmand:
Attentional Network for Visual Object Detection. CoRR abs/1702.01478 (2017) - [i14]Ming-Yu Liu, Thomas M. Breuel, Jan Kautz:
Unsupervised Image-to-Image Translation Networks. CoRR abs/1703.00848 (2017) - [i13]Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun:
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. CoRR abs/1703.06748 (2017) - [i12]Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun:
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video. CoRR abs/1705.01759 (2017) - [i11]Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam:
CASENet: Deep Category-Aware Semantic Edge Detection. CoRR abs/1705.09759 (2017) - [i10]Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz:
MoCoGAN: Decomposing Motion and Content for Video Generation. CoRR abs/1707.04993 (2017) - [i9]Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz:
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume. CoRR abs/1709.02371 (2017) - [i8]Yen-Chen Lin, Ming-Yu Liu, Min Sun, Jia-Bin Huang:
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight. CoRR abs/1710.00814 (2017) - [i7]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. CoRR abs/1711.11585 (2017) - [i6]Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Learning Binary Residual Representations for Domain-specific Video Streaming. CoRR abs/1712.05087 (2017) - 2016
- [c17]Chenyi Chen, Ming-Yu Liu, Oncel Tuzel, Jianxiong Xiao:
R-CNN for Small Object Detection. ACCV (5) 2016: 214-230 - [c16]Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa:
Gaussian Conditional Random Field Network for Semantic Segmentation. CVPR 2016: 3224-3233 - [c15]Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu:
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. CVPR 2016: 4801-4809 - [c14]Kilho Son, Ming-Yu Liu, Yuichi Taguchi:
Learning to remove multipath distortions in Time-of-Flight range images for a robotic arm setup. ICRA 2016: 3390-3397 - [c13]Ming-Yu Liu, Oncel Tuzel:
Coupled Generative Adversarial Networks. NIPS 2016: 469-477 - [c12]Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen:
Unsupervised network pretraining via encoding human design. WACV 2016: 1-9 - [i5]Kilho Son, Ming-Yu Liu, Yuichi Taguchi:
Automatic Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup. CoRR abs/1601.01750 (2016) - [i4]Ming-Yu Liu, Oncel Tuzel:
Coupled Generative Adversarial Networks. CoRR abs/1606.07536 (2016) - 2015
- [c11]Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel:
Layered Interpretation of Street View Images. Robotics: Science and Systems 2015 - [i3]Ming-Yu Liu, Arun Mallya, Oncel C. Tuzel, Xi Chen:
Unsupervised Deep Network Pretraining via Human Design. CoRR abs/1502.05689 (2015) - [i2]Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel:
Layered Interpretation of Street View Images. CoRR abs/1506.04723 (2015) - [i1]Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu:
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising. CoRR abs/1511.04067 (2015) - 2014
- [j2]Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa:
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 99-112 (2014) - [c10]Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind Raghunathan:
Learning to Rank 3D Features. ECCV (1) 2014: 520-535 - [c9]Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu:
Recursive Context Propagation Network for Semantic Scene Labeling. NIPS 2014: 2447-2455 - 2013
- [c8]Michael Hödlmoser, Branislav Micusík, Marc Pollefeys, Ming-Yu Liu, Martin Kampel:
Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests. 3DV 2013: 430-437 - [c7]Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi:
Joint Geodesic Upsampling of Depth Images. CVPR 2013: 169-176 - 2012
- [b1]Ming-Yu Liu:
Discrete Optimization Methods for Segmentation and Matching. University of Maryland, College Park, MD, USA, 2012 - [j1]Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Yuichi Taguchi, Tim K. Marks, Rama Chellappa:
Fast object localization and pose estimation in heavy clutter for robotic bin picking. Int. J. Robotics Res. 31(8): 951-973 (2012) - [c6]Michael Hödlmoser, Branislav Micusík, Ming-Yu Liu, Marc Pollefeys, Martin Kampel:
Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization. 3DIMPVT 2012: 198-205 - [c5]Jingjing Zheng, Ming-Yu Liu, Rama Chellappa, P. Jonathon Phillips:
A Grassmann manifold-based domain adaptation approach. ICPR 2012: 2095-2099 - [c4]Changhyun Choi, Yuichi Taguchi, Oncel Tuzel, Ming-Yu Liu, Srikumar Ramalingam:
Voting-based pose estimation for robotic assembly using a 3D sensor. ICRA 2012: 1724-1731 - 2011
- [c3]Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa:
Entropy rate superpixel segmentation. CVPR 2011: 2097-2104 - 2010
- [c2]Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa:
Fast directional chamfer matching. CVPR 2010: 1696-1703 - [c1]Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa, Amit K. Agrawal, Haruhisa Okuda:
Pose estimation in heavy clutter using a multi-flash camera. ICRA 2010: 2028-2035
Coauthor Index
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