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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
[i62]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)- 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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