Ming-Yu Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
13
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Dynamic Camera Poses and Where to Find Them. | Chris Rockwell, Joseph Tung, Tsung-Yi Lin, Ming-Yu Liu, David F. Fouhey, Chen-Hsuan Lin |
| 2025 | CVPR | ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary. | Zeqi Gu, Yin Cui, Zhaoshuo Li, Fangyin Wei, Yunhao Ge, Jinwei Gu, Ming-Yu Liu, Abe Davis, Yifan Ding |
| 2025 | CVPR | HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. | Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher R, David W. Romero |
| 2025 | CVPR | Articulated Kinematics Distillation from Video Diffusion Models. | Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang |
| 2025 | CVPR | A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation. | Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji |
| 2025 | CVPR | CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. | Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Tsung-Yi Lin, Gordon Wetzstein, Ming-Yu Liu, Donglai Xiang |
| 2025 | ICCV | Describe Anything: Detailed Localized Image and Video Captioning. | Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui |
| 2025 | ICCV | PartField: Learning 3D Feature Fields for Part Segmentation and Beyond. | Ming-Yu Liu, Mikaela Angelina Uy, Donglai Xiang, Hao Su, Sanja Fidler, Nicholas Sharp, Jun Gao |
| 2025 | ICLR | High-Quality Joint Image and Video Tokenization with Causal VAE. | Dawit Mureja Argaw, Xian Liu, Qinsheng Zhang, Joon Son Chung, Ming-Yu Liu, Fitsum Reda |
| 2025 | ICLR | EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation. | Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang |
| 2025 | ICLR | Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. | Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang |
| 2025 | ICML | One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. | Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng |
| 2025 | ICML | Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator. | Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang |
| 2024 | CVPR | JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation. | Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji |
| 2024 | CVPR | Condition-Aware Neural Network for Controlled Image Generation. | Han Cai, Muyang Li, Qinsheng Zhang, Ming-Yu Liu, Song Han |
| 2024 | CVPR | Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. | Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui |
| 2023 | CVPR | Neuralangelo: High-Fidelity Neural Surface Reconstruction. | Zhaoshuo Li, Thomas Mller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin |
| 2023 | CVPR | Magic3D: High-Resolution Text-to-3D Content Creation. | Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin |
| 2023 | CVPR | DiffCollage: Parallel Generation of Large Content with Diffusion Models. | Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu |
| 2023 | EMNLP | Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. | 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 |
| 2023 | ICCV | Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. | Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji |
| 2023 | ICCV | SPACE: Speech-driven Portrait Animation with Controllable Expression. | Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu |
| 2023 | ICCV | ATT3D: Amortized Text-to-3D Object Synthesis. | Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas |
| 2023 | ICML | Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. | Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat |
| 2022 | ECCV | Multimodal Conditional Image Synthesis with Product-of-Experts GANs. | Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu |
| 2021 | CVPR | One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. | Ting-Chun Wang, Arun Mallya, Ming-Yu Liu |
| 2021 | ICCV | GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. | Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu |
| 2020 | CVPR | Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. | Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz |
| 2020 | CVPR | UNAS: Differentiable Architecture Search Meets Reinforcement Learning. | Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz |
| 2020 | ECCV | World-Consistent Video-to-Video Synthesis. | Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu |
| 2020 | ECCV | UFO | Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz |
| 2020 | ECCV | COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. | Kuniaki Saito, Kate Saenko, Ming-Yu Liu |
| 2020 | WACV | SymGAN: Orientation Estimation without Annotation for Symmetric Objects. | Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox |
| 2019 | AAAI | Unsupervised Stylish Image Description Generation via Domain Layer Norm. | Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun |
| 2019 | CVPR | Semantic Image Synthesis With Spatially-Adaptive Normalization. | Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu |
| 2019 | CVPR | CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. | Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang |
| 2019 | CVPR | STEP: Spatio-Temporal Progressive Learning for Video Action Detection. | Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry S. Davis, Jan Kautz |
| 2019 | ICCV | Few-Shot Unsupervised Image-to-Image Translation. | Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz |
| 2019 | ICCV | Neural Turtle Graphics for Modeling City Road Layouts. | Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler |
| 2019 | ICCV | Meta-Sim: Learning to Generate Synthetic Datasets. | Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler |
| 2019 | ICCV | PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows. | Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie, Bharath Hariharan |
| 2018 | AAAI | Learning Binary Residual Representations for Domain-Specific Video Streaming. | Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz |
| 2018 | ACCV | Localization-Aware Active Learning for Object Detection. | Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu |
| 2018 | CVPR | The 2018 NVIDIA AI City Challenge. | 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 |
| 2018 | CVPR | PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume. | Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz |
| 2018 | CVPR | Learning Superpixels With Segmentation-Aware Affinity Loss. | Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz |
| 2018 | CVPR | MoCoGAN: Decomposing Motion and Content for Video Generation. | Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz |
| 2018 | CVPR | High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. | Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro |
| 2018 | ECCV | Multimodal Unsupervised Image-to-Image Translation. | Xun Huang, Ming-Yu Liu, Serge J. Belongie, Jan Kautz |
| 2018 | ECCV | Superpixel Sampling Networks. | Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz |
| 2018 | ECCV | A Closed-Form Solution to Photorealistic Image Stylization. | Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz |
| 2018 | ICCP | Reblur2Deblur: Deblurring videos via self-supervised learning. | Huaijin G. Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz |
| 2017 | CVPR | Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos. | Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun |
| 2017 | CVPR | CASENet: Deep Category-Aware Semantic Edge Detection. | Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam |
| 2017 | ICLR | Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. | Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun |
| 2017 | IJCAI | Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. | Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun |
| 2016 | ACCV | R-CNN for Small Object Detection. | Chenyi Chen, Ming-Yu Liu, Oncel Tuzel, Jianxiong Xiao |
| 2016 | CVPR | Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. | Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu |
| 2016 | CVPR | Gaussian Conditional Random Field Network for Semantic Segmentation. | Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa |
| 2016 | ICRA | Learning to remove multipath distortions in Time-of-Flight range images for a robotic arm setup. | Kilho Son, Ming-Yu Liu, Yuichi Taguchi |
| 2016 | WACV | Unsupervised network pretraining via encoding human design. | Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen |
| 2014 | ECCV | Learning to Rank 3D Features. | Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind Raghunathan |
| 2013 | CVPR | Joint Geodesic Upsampling of Depth Images. | Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi |
| 2012 | ICPR | A Grassmann manifold-based domain adaptation approach. | Jingjing Zheng, Ming-Yu Liu, Rama Chellappa, P. Jonathon Phillips |
| 2012 | ICRA | Voting-based pose estimation for robotic assembly using a 3D sensor. | Changhyun Choi, Yuichi Taguchi, Oncel Tuzel, Ming-Yu Liu, Srikumar Ramalingam |
| 2011 | CVPR | Entropy rate superpixel segmentation. | Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa |
| 2010 | CVPR | Fast directional chamfer matching. | Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa |
| 2010 | ICRA | Pose estimation in heavy clutter using a multi-flash camera. | Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa, Amit K. Agrawal, Haruhisa Okuda |