Ming-Yu Liu

203 papers A* 60A 2B 2Journal 118Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
AVO: Agentic Variation Operators for Autonomous Evolutionary Search.
CoRR
Terry Chen, Zhifan Ye, Bing Xu, Zihao Ye, Timmy Liu, Ali Hassani, Tianqi Chen, Andrew Kerr, Haicheng Wu, Yang Xu, Yu-Jung Chen, Hanfeng Chen, Aditya Kane, Ronny Krashinsky, Ming-Yu Liu, Vinod Grover, Luis Ceze, Roger A. Bringmann, John Tran, Wei Liu, Fung Xie, Michael Lightstone, Humphrey Shi
2026 J jnl
Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.
CoRR
Moo Jin Kim, Yihuai Gao, Tsung-Yi Lin, Yen-Chen Lin, Yunhao Ge, Grace Lam, Percy Liang, Shuran Song, Ming-Yu Liu, Chelsea Finn, Jinwei Gu
2026 J jnl
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.
CoRR
Shenyuan Gao, William Liang, Kaiyuan Zheng, Ayaan Malik, Seonghyeon Ye, Sihyun Yu, Wei-Cheng Tseng, Yuzhu Dong, Kaichun Mo, Chen-Hsuan Lin, Qianli Ma, Seungjun Nah, Loic Magne, Jiannan Xiang, Yuqi Xie, Ruijie Zheng, Dantong Niu, You Liang Tan, K. R. Zentner, George Kurian, Suneel Indupuru, Pooya Jannaty, Jinwei Gu, Jun Zhang, Jitendra Malik, Pieter Abbeel, Ming-Yu Liu, Yuke Zhu, Joel Jang, Linxi "Jim" Fan
2026 J jnl
DuoGen: Towards General Purpose Interleaved Multimodal Generation.
CoRR
Min Shi, Xiaohui Zeng, Jiannan Huang, Yin Cui, Francesco Ferroni, Jialuo Li, Shubham Pachori, Zhaoshuo Li, Yogesh Balaji, Haoxiang Wang, Tsung-Yi Lin, Xiao Fu, Yue Zhao, Chieh-Yun Chen, Ming-Yu Liu, Humphrey Shi
2026 J jnl
LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion.
CoRR
Jiangran Lyu, Kai Liu, Xuheng Zhang, Haoran Liao, Yusen Feng, Wenxuan Zhu, Tingrui Shen, Jiayi Chen, Jiazhao Zhang, Yifei Dong, Wenbo Cui, Senmao Qi, Shuo Wang, Yixin Zheng, Mi Yan, Xuesong Shi, Haoran Li, Dongbin Zhao, Ming-Yu Liu, Zhizheng Zhang, Li Yi, Yizhou Wang, He Wang
2026 J jnl
Plenoptic Video Generation.
CoRR
Xiao Fu, Shitao Tang, Min Shi, Xian Liu, Jinwei Gu, Ming-Yu Liu, Dahua Lin, Chen-Hsuan Lin
2026 J jnl
PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation.
CoRR
Wenbing Huang, Yu-Wei Chao, Arsalan Mousavian, Ming-Yu Liu, Dieter Fox, Kaichun Mo, Li Fei-Fei
2026 J jnl
SAGE: Scalable Agentic 3D Scene Generation for Embodied AI.
CoRR
Hongchi Xia, Xuan Li, Zhaoshuo Li, Qianli Ma, Jiashu Xu, Ming-Yu Liu, Yin Cui, Tsung-Yi Lin, Wei-Chiu Ma, Shenlong Wang, Shuran Song, Fangyin Wei
2026 J jnl
VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events.
CoRR
Mohammad Qazim Bhat, Yufan Huang, Niket Agarwal, Hao Wang, Michael Woods, John Kenyon, Tsung-Yi Lin, Xiaodong Yang, Ming-Yu Liu, Kevin Xie
2026 J jnl
VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents.
CoRR
Bing Xu, Terry Chen, Fengzhe Zhou, Tianqi Chen, Yangqing Jia, Vinod Grover, Haicheng Wu, Wei Liu, Craig Wittenbrink, Wen-Mei Hwu, Roger A. Bringmann, Ming-Yu Liu, Luis Ceze, Michael Lightstone, Humphrey Shi
2025 J jnl
"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models.
CoRR
Jing Gu, Xian Liu, Yu Zeng, Ashwin Nagarajan, Fangrui Zhu, Daniel Hong, Yue Fan, Qianqi Yan, Kaiwen Zhou, Ming-Yu Liu, Xin Eric Wang
2025 A* conf
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation.
CVPR
Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji
2025 J jnl
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation.
CoRR
Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji
2025 A* conf
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary.
CVPR
Zeqi Gu, Yin Cui, Zhaoshuo Li, Fangyin Wei, Yunhao Ge, Jinwei Gu, Ming-Yu Liu, Abe Davis, Yifan Ding
2025 J jnl
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary.
CoRR
Zeqi Gu, Yin Cui, Zhaoshuo Li, Fangyin Wei, Yunhao Ge, Jinwei Gu, Ming-Yu Liu, Abe Davis, Yifan Ding
2025 A* conf
Articulated Kinematics Distillation from Video Diffusion Models.
CVPR
Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang
2025 J jnl
Articulated Kinematics Distillation from Video Diffusion Models.
CoRR
Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang
2025 J jnl
Bridging Supervised Learning and Reinforcement Learning in Math Reasoning.
CoRR
Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang
2025 A* conf
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.
CVPR
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 J jnl
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.
CoRR
Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Ming-Yu Liu, Donglai Xiang, Gordon Wetzstein, Tsung-Yi Lin
2025 J jnl
Cosmos World Foundation Model Platform for Physical AI.
CoRR
Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski
2025 J jnl
Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning.
CoRR
Alisson G. Azzolini, Hannah Brandon, Prithvijit Chattopadhyay, Huayu Chen, Jinju Chu, Yin Cui, Jenna Diamond, Yifan Ding, Francesco Ferroni, Rama Govindaraju, Jinwei Gu, Siddharth Gururani, Imad El Hanafi, Zekun Hao, Jacob Samuel Huffman, Jingyi Jin, Brendan Johnson, Rizwan Khan, George Kurian, Elena Lantz, Nayeon Lee, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Yen-Chen Lin, Ming-Yu Liu, Alice Luo, Andrew Mathau, Yun Ni, Lindsey Pavao, Wei Ping, David W. Romero, Misha Smelyanskiy, Shuran Song, Lyne Tchapmi, Andrew Z. Wang, Boxin Wang, Haoxiang Wang, Fangyin Wei, Jiashu Xu, Yao Xu, Xiaodong Yang, Zhuolin Yang, Xiaohui Zeng, Zhe Zhang
2025 J jnl
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control.
CoRR
Hassan Abu Alhaija, José M. Álvarez, Maciej Bala, Tiffany Cai, Tianshi Cao, Liz Cha, Joshua Chen, Mike Chen, Francesco Ferroni, Sanja Fidler, Dieter Fox, Yunhao Ge, Jinwei Gu, Ali Hassani, Michael Isaev, Pooya Jannaty, Shiyi Lan, Tobias Lasser, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Fabio Ramos, Xuanchi Ren, Tianchang Shen, Xinglong Sun, Shitao Tang, Ting-Chun Wang, Jay Zhangjie Wu, Jiashu Xu, Stella Xu, Kevin Xie, Yuchong Ye, Xiaodong Yang, Xiaohui Zeng, Yu Zeng
2025 J jnl
Data-regularized Reinforcement Learning for Diffusion Models at Scale.
CoRR
Haotian Ye, Kaiwen Zheng, Jiashu Xu, Puheng Li, Huayu Chen, Jiaqi Han, Sheng Liu, Qinsheng Zhang, Hanzi Mao, Zekun Hao, Prithvijit Chattopadhyay, Dinghao Yang, Liang Feng, Maosheng Liao, Junjie Bai, Ming-Yu Liu, James Zou, Stefano Ermon
2025 J jnl
Describe Anything: Detailed Localized Image and Video Captioning.
CoRR
Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui
2025 J jnl
DiffusionNFT: Online Diffusion Reinforcement with Forward Process.
CoRR
Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu
2025 A* conf
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.
ICML
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.
CoRR
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories.
CoRR
Joel Jang, Seonghyeon Ye, Zongyu Lin, Jiannan Xiang, Johan Bjorck, Yu Fang, Fengyuan Hu, Spencer Huang, Kaushil Kundalia, Yen-Chen Lin, Loic Magne, Ajay Mandlekar, Avnish Narayan, You Liang Tan, Guanzhi Wang, Jing Wang, Qi Wang, Yinzhen Xu, Xiaohui Zeng, Kaiyuan Zheng, Ruijie Zheng, Ming-Yu Liu, Luke Zettlemoyer, Dieter Fox, Jan Kautz, Scott Reed, Yuke Zhu, Linxi Fan
2025 A* conf
Dynamic Camera Poses and Where to Find Them.
CVPR
Chris Rockwell, Joseph Tung, Tsung-Yi Lin, Ming-Yu Liu, David F. Fouhey, Chen-Hsuan Lin
2025 J jnl
Dynamic Camera Poses and Where to Find Them.
CoRR
Chris Rockwell, Joseph Tung, Tsung-Yi Lin, Ming-Yu Liu, David F. Fouhey, Chen-Hsuan Lin
2025 A* conf
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation.
ICLR
Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang
2025 J jnl
Efficient Part-level 3D Object Generation via Dual Volume Packing.
CoRR
Jiaxiang Tang, Ruijie Lu, Zhaoshuo Li, Zekun Hao, Xuan Li, Fangyin Wei, Shuran Song, Gang Zeng, Ming-Yu Liu, Tsung-Yi Lin
2025 J jnl
Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light.
CoRR
Ali Hassani, Fengzhe Zhou, Aditya Kane, Jiannan Huang, Chieh-Yun Chen, Min Shi, Steven Walton, Markus Hoehnerbach, Vijay Thakkar, Michael Isaev, Qinsheng Zhang, Bing Xu, Haicheng Wu, Wen-Mei Hwu, Ming-Yu Liu, Humphrey Shi
2025 A* conf
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation.
CVPR
Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Ré, David W. Romero
2025 J jnl
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation.
CoRR
Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Ré, David W. Romero
2025 A* conf
High-Quality Joint Image and Video Tokenization with Causal VAE.
ICLR
Dawit Mureja Argaw, Xian Liu, Qinsheng Zhang, Joon Son Chung, Ming-Yu Liu, Fitsum Reda
2025 J jnl
InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression.
CoRR
Haotian Ye, Qiyuan He, Jiaqi Han, Puheng Li, Jiaojiao Fan, Zekun Hao, Fitsum Reda, Yogesh Balaji, Huayu Chen, Sheng Liu, Angela Yao, James Zou, Stefano Ermon, Haoxiang Wang, Ming-Yu Liu
2025 J jnl
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency.
CoRR
Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
MFM-point: Multi-scale Flow Matching for Point Cloud Generation.
CoRR
Petr Molodyk, Jaemoo Choi, David W. Romero, Ming-Yu Liu, Yongxin Chen
2025 J jnl
MambaVideo for Discrete Video Tokenization with Channel-Split Quantization.
CoRR
Dawit Mureja Argaw, Xian Liu, Joon Son Chung, Ming-Yu Liu, Fitsum Reda
2025 A* conf
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.
ICLR
Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 A* conf
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation.
ICML
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 J jnl
Openpi Comet: Competition Solution For 2025 BEHAVIOR Challenge.
CoRR
Junjie Bai, Yu-Wei Chao, Qizhi Chen, Jinwei Gu, Moo Jin Kim, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Ming-Yu Liu, Nic Ma, Kaichun Mo, Delin Qu, Shangkun Sun, Hongchi Xia, Fangyin Wei, Xiaohui Zeng
2025 J jnl
PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond.
CoRR
Ming-Yu Liu, Mikaela Angelina Uy, Donglai Xiang, Hao Su, Sanja Fidler, Nicholas Sharp, Jun Gao
2025 J jnl
Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding.
CoRR
Haotian Xue, Yunhao Ge, Yu Zeng, Zhaoshuo Li, Ming-Yu Liu, Yongxin Chen, Jiaojiao Fan
2025 J jnl
Scalable Policy Evaluation with Video World Models.
CoRR
Wei-Cheng Tseng, Jinwei Gu, Qinsheng Zhang, Hanzi Mao, Ming-Yu Liu, Florian Shkurti, Lin Yen-Chen
2025 J jnl
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation.
CoRR
Lu Ling, Chen-Hsuan Lin, Tsung-Yi Lin, Yifan Ding, Yu Zeng, Yichen Sheng, Yunhao Ge, Ming-Yu Liu, Aniket Bera, Zhaoshuo Li
2025 J jnl
Wolf: Dense Video Captioning with a World Summarization Framework.
Trans. Mach. Learn. Res.
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone
2024 A* conf
Condition-Aware Neural Network for Controlled Image Generation.
CVPR
Han Cai, Muyang Li, Qinsheng Zhang, Ming-Yu Liu, Song Han
2024 J jnl
Condition-Aware Neural Network for Controlled Image Generation.
CoRR
Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han
2024 J jnl
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.
CoRR
Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han
2024 J jnl
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation.
CoRR
Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang
2024 J jnl
Edify 3D: Scalable High-Quality 3D Asset Generation.
CoRR
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
2024 J jnl
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models.
CoRR
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
2024 A* conf
ExpressiveSinger: Multilingual and Multi-Style Score-based Singing Voice Synthesis with Expressive Performance Control.
ACM Multimedia
Shuqi Dai, Ming-Yu Liu, Rafael Valle, Siddharth Gururani
2024 A* conf
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation.
CVPR
Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji
2024 J jnl
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation.
CoRR
Yu Zeng, Vishal M. Patel, Haochen Wang, Xun Huang, Ting-Chun Wang, Ming-Yu Liu, Yogesh Balaji
2024 J jnl
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.
CoRR
Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2024 J jnl
Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale.
CoRR
Zekun Hao, David W. Romero, Tsung-Yi Lin, Ming-Yu Liu
2024 J jnl
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation.
CoRR
Zhendong Wang, Zhaoshuo Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
2024 A* conf
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation.
CVPR
Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui
2024 J jnl
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation.
CoRR
Yunhao Ge, Xiaohui Zeng, Jacob Samuel Huffman, Tsung-Yi Lin, Ming-Yu Liu, Yin Cui
2024 J jnl
Wolf: Captioning Everything with a World Summarization Framework.
CoRR
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
2023 A* conf
ATT3D: Amortized Text-to-3D Object Synthesis.
ICCV
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
2023 J jnl
ATT3D: Amortized Text-to-3D Object Synthesis.
CoRR
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
2023 A* conf
DiffCollage: Parallel Generation of Large Content with Diffusion Models.
CVPR
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
2023 J jnl
DiffCollage: Parallel Generation of Large Content with Diffusion Models.
CoRR
Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu
2023 A* conf
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.
ICML
Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat
2023 A* conf
Magic3D: High-Resolution Text-to-3D Content Creation.
CVPR
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
2023 A* conf
Neuralangelo: High-Fidelity Neural Surface Reconstruction.
CVPR
Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
2023 J jnl
Neuralangelo: High-Fidelity Neural Surface Reconstruction.
CoRR
Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
2023 A* conf
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
ICCV
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
2023 J jnl
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
CoRR
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
2023 — conf
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
EMNLP (Findings)
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 J jnl
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
CoRR
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
2023 A* conf
SPACE: Speech-driven Portrait Animation with Controllable Expression.
ICCV
Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu
2022 A* conf
Generating Long Videos of Dynamic Scenes.
NeurIPS
Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
2022 J jnl
Generating Long Videos of Dynamic Scenes.
CoRR
Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras
2022 A* conf
Implicit Neural Representations with Levels-of-Experts.
NeurIPS
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
2022 A* conf
Implicit Warping for Animation with Image Sets.
NeurIPS
Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
2022 J jnl
Implicit Warping for Animation with Image Sets.
CoRR
Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
2022 J jnl
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update.
IEEE Trans. Computers
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Mustafa Fayez Ali, Ming-Yu Liu, Brucek Khailany, William J. Dally, Anima Anandkumar
2022 J jnl
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation.
CoRR
Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang
2022 J jnl
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation.
ACM Trans. Graph.
Yu-Ying Yeh, Koki Nagano, Sameh Khamis, Jan Kautz, Ming-Yu Liu, Ting-Chun Wang
2022 J jnl
Magic3D: High-Resolution Text-to-3D Content Creation.
CoRR
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
2022 — conf
Multimodal Conditional Image Synthesis with Product-of-Experts GANs.
ECCV (16)
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
2022 J jnl
SPACEx: Speech-driven Portrait Animation with Controllable Expression.
CoRR
Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu
2022 J jnl
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.
CoRR
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
2021 A* conf
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis.
NeurIPS
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler
2021 J jnl
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis.
CoRR
Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler
2021 J jnl
Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Aysegul Dundar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, John Zedlewski, Jan Kautz
2021 A* conf
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds.
ICCV
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
2021 J jnl
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds.
CoRR
Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu
2021 J jnl
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications.
Proc. IEEE
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya
2021 J jnl
Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update.
CoRR
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Ming-Yu Liu, Brucek Khailany, Bill Dally, Anima Anandkumar
2021 J jnl
Multimodal Conditional Image Synthesis with Product-of-Experts GANs.
CoRR
Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu
2021 A* conf
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing.
CVPR
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
2020 — conf
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder.
ECCV (3)
Kuniaki Saito, Kate Saenko, Ming-Yu Liu
2020 J jnl
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder.
CoRR
Kuniaki Saito, Kate Saenko, Ming-Yu Liu
2020 J jnl
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications.
CoRR
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, Arun Mallya
2020 J jnl
Guest Editorial: Generative Adversarial Networks for Computer Vision.
Int. J. Comput. Vis.
Jun-Yan Zhu, Hongsheng Li, Eli Shechtman, Ming-Yu Liu, Jan Kautz, Antonio Torralba
2020 A* conf
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection.
CVPR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020 J jnl
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection.
CoRR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020 A* conf
Learning compositional functions via multiplicative weight updates.
NeurIPS
Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue
2020 J jnl
Learning compositional functions via multiplicative weight updates.
CoRR
Jeremy Bernstein, Jiawei Zhao, Markus Meister, Ming-Yu Liu, Anima Anandkumar, Yisong Yue
2020 — conf
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence.
NGT@ACL
Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz
2020 J jnl
Learning to Generate Multiple Style Transfer Outputs for an Input Sentence.
CoRR
Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz
2020 J jnl
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
2020 A* conf
On the distance between two neural networks and the stability of learning.
NeurIPS
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu
2020 J jnl
On the distance between two neural networks and the stability of learning.
CoRR
Jeremy Bernstein, Arash Vahdat, Yisong Yue, Ming-Yu Liu
2020 J jnl
One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing.
CoRR
Ting-Chun Wang, Arun Mallya, Ming-Yu Liu
2020 J jnl
Style Example-Guided Text Generation using Generative Adversarial Transformers.
CoRR
Kuo-Hao Zeng, Mohammad Shoeybi, Ming-Yu Liu
2020 A conf
SymGAN: Orientation Estimation without Annotation for Symmetric Objects.
WACV
Phil Ammirato, Jonathan Tremblay, Ming-Yu Liu, Alexander C. Berg, Dieter Fox
2020 — conf
UFO
ECCV (19)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
2020 J jnl
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection.
CoRR
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz
2020 A* conf
UNAS: Differentiable Architecture Search Meets Reinforcement Learning.
CVPR
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
2020 — conf
World-Consistent Video-to-Video Synthesis.
ECCV (8)
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
2020 J jnl
World-Consistent Video-to-Video Synthesis.
CoRR
Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu
2019 J jnl
Boosting segmentation with weak supervision from image-to-image translation.
CoRR
Eugene Vorontsov, Pavlo Molchanov, Wonmin Byeon, Shalini De Mello, Varun Jampani, Ming-Yu Liu, Samuel Kadoury, Jan Kautz
2019 A* conf
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification.
CVPR
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang
2019 J jnl
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification.
CoRR
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang
2019 A* conf
Dancing to Music.
NeurIPS
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
2019 J jnl
Dancing to Music.
CoRR
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
2019 A* conf
Few-Shot Unsupervised Image-to-Image Translation.
ICCV
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
2019 J jnl
Few-Shot Unsupervised Image-to-Image Translation.
CoRR
Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
2019 A* conf
Few-shot Video-to-Video Synthesis.
NeurIPS
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Bryan Catanzaro, Jan Kautz
2019 J jnl
Few-shot Video-to-Video Synthesis.
CoRR
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
2019 A* conf
Meta-Sim: Learning to Generate Synthetic Datasets.
ICCV
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
2019 J jnl
Meta-Sim: Learning to Generate Synthetic Datasets.
CoRR
Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
2019 A* conf
Neural Turtle Graphics for Modeling City Road Layouts.
ICCV
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
2019 J jnl
Neural Turtle Graphics for Modeling City Road Layouts.
CoRR
Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
2019 A* conf
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows.
ICCV
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie, Bharath Hariharan
2019 J jnl
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows.
CoRR
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge J. Belongie, Bharath Hariharan
2019 A* conf
STEP: Spatio-Temporal Progressive Learning for Video Action Detection.
CVPR
Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry S. Davis, Jan Kautz
2019 J jnl
STEP: Spatio-Temporal Progressive Learning for Video Action Detection.
CoRR
Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
2019 A* conf
Semantic Image Synthesis With Spatially-Adaptive Normalization.
CVPR
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
2019 J jnl
Semantic Image Synthesis with Spatially-Adaptive Normalization.
CoRR
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
2019 J jnl
UNAS: Differentiable Architecture Search Meets Reinforcement Learning.
CoRR
Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
2019 A* conf
Unsupervised Stylish Image Description Generation via Domain Layer Norm.
AAAI
Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun
2018 — conf
A Closed-Form Solution to Photorealistic Image Stylization.
ECCV (3)
Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz
2018 J jnl
A Closed-form Solution to Photorealistic Image Stylization.
CoRR
Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz
2018 J jnl
Context-Aware Synthesis and Placement of Object Instances.
CoRR
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
2018 A* conf
Context-aware Synthesis and Placement of Object Instances.
NeurIPS
Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
2018 J jnl
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation.
CoRR
Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz
2018 A* conf
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs.
CVPR
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
2018 A* conf
Learning Binary Residual Representations for Domain-Specific Video Streaming.
AAAI
Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz
2018 A* conf
Learning Superpixels With Segmentation-Aware Affinity Loss.
CVPR
Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz
2018 — conf
Localization-Aware Active Learning for Object Detection.
ACCV (6)
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
2018 J jnl
Localization-Aware Active Learning for Object Detection.
CoRR
Chieh-Chi Kao, Teng-Yok Lee, Pradeep Sen, Ming-Yu Liu
2018 A* conf
MoCoGAN: Decomposing Motion and Content for Video Generation.
CVPR
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz
2018 J jnl
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation.
CoRR
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
2018 — conf
Multimodal Unsupervised Image-to-Image Translation.
ECCV (3)
Xun Huang, Ming-Yu Liu, Serge J. Belongie, Jan Kautz
2018 J jnl
Multimodal Unsupervised Image-to-Image Translation.
CoRR
Xun Huang, Ming-Yu Liu, Serge J. Belongie, Jan Kautz
2018 A* conf
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume.
CVPR
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
2018 J jnl
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning.
CoRR
Huaijin G. Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz
2018 B conf
Reblur2Deblur: Deblurring videos via self-supervised learning.
ICCP
Huaijin G. Chen, Jinwei Gu, Orazio Gallo, Ming-Yu Liu, Ashok Veeraraghavan, Jan Kautz
2018 — conf
Superpixel Sampling Networks.
ECCV (7)
Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
2018 J jnl
Superpixel Sampling Networks.
CoRR
Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz
2018 — conf
The 2018 NVIDIA AI City Challenge.
CVPR Workshops
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 J jnl
Unsupervised Stylish Image Description Generation via Domain Layer Norm.
CoRR
Cheng-Kuan Chen, Zhufeng Pan, Min Sun, Ming-Yu Liu
2018 A* conf
Video-to-Video Synthesis.
NeurIPS
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, Bryan Catanzaro
2018 J jnl
Video-to-Video Synthesis.
CoRR
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
2017 J jnl
Attentional Network for Visual Object Detection.
CoRR
Kota Hara, Ming-Yu Liu, Oncel Tuzel, Amir-massoud Farahmand
2017 A* conf
CASENet: Deep Category-Aware Semantic Edge Detection.
CVPR
Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam
2017 J jnl
CASENet: Deep Category-Aware Semantic Edge Detection.
CoRR
Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam
2017 J jnl
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video.
CoRR
Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
2017 A* conf
Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos.
CVPR
Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
2017 J jnl
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight.
CoRR
Yen-Chen Lin, Ming-Yu Liu, Min Sun, Jia-Bin Huang
2017 J jnl
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs.
CoRR
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
2017 J jnl
Learning Binary Residual Representations for Domain-specific Video Streaming.
CoRR
Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz
2017 J jnl
MoCoGAN: Decomposing Motion and Content for Video Generation.
CoRR
Sergey Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz
2017 J jnl
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume.
CoRR
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, Jan Kautz
2017 — conf
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents.
ICLR (Workshop)
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun
2017 A* conf
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents.
IJCAI
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun
2017 J jnl
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents.
CoRR
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun
2017 — conf
Unsupervised Image-to-Image Translation Networks.
NIPS
Ming-Yu Liu, Thomas M. Breuel, Jan Kautz
2017 J jnl
Unsupervised Image-to-Image Translation Networks.
CoRR
Ming-Yu Liu, Thomas M. Breuel, Jan Kautz
2016 J jnl
Automatic Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup.
CoRR
Kilho Son, Ming-Yu Liu, Yuichi Taguchi
2016 — conf
Coupled Generative Adversarial Networks.
NIPS
Ming-Yu Liu, Oncel Tuzel
2016 J jnl
Coupled Generative Adversarial Networks.
CoRR
Ming-Yu Liu, Oncel Tuzel
2016 A* conf
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising.
CVPR
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
2016 A* conf
Gaussian Conditional Random Field Network for Semantic Segmentation.
CVPR
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa
2016 A* conf
Learning to remove multipath distortions in Time-of-Flight range images for a robotic arm setup.
ICRA
Kilho Son, Ming-Yu Liu, Yuichi Taguchi
2016 — conf
R-CNN for Small Object Detection.
ACCV (5)
Chenyi Chen, Ming-Yu Liu, Oncel Tuzel, Jianxiong Xiao
2016 A conf
Unsupervised network pretraining via encoding human design.
WACV
Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen
2015 J jnl
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising.
CoRR
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
2015 — conf
Layered Interpretation of Street View Images.
Robotics: Science and Systems
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
2015 J jnl
Layered Interpretation of Street View Images.
CoRR
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
2015 J jnl
Unsupervised Deep Network Pretraining via Human Design.
CoRR
Ming-Yu Liu, Arun Mallya, Oncel C. Tuzel, Xi Chen
2014 J jnl
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa
2014 — conf
Learning to Rank 3D Features.
ECCV (1)
Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind Raghunathan
2014 — conf
Recursive Context Propagation Network for Semantic Scene Labeling.
NIPS
Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu
2013 A* conf
Joint Geodesic Upsampling of Depth Images.
CVPR
Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi
2013 — conf
Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests.
3DV
Michael Hödlmoser, Branislav Micusík, Marc Pollefeys, Ming-Yu Liu, Martin Kampel
2012 B conf
A Grassmann manifold-based domain adaptation approach.
ICPR
Jingjing Zheng, Ming-Yu Liu, Rama Chellappa, P. Jonathon Phillips
2012 — conf
Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization.
3DIMPVT
Michael Hödlmoser, Branislav Micusík, Ming-Yu Liu, Marc Pollefeys, Martin Kampel
2012 — —
Discrete Optimization Methods for Segmentation and Matching.
Ming-Yu Liu
2012 J jnl
Fast object localization and pose estimation in heavy clutter for robotic bin picking.
Int. J. Robotics Res.
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Yuichi Taguchi, Tim K. Marks, Rama Chellappa
2012 A* conf
Voting-based pose estimation for robotic assembly using a 3D sensor.
ICRA
Changhyun Choi, Yuichi Taguchi, Oncel Tuzel, Ming-Yu Liu, Srikumar Ramalingam
2011 A* conf
Entropy rate superpixel segmentation.
CVPR
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa
2010 A* conf
Fast directional chamfer matching.
CVPR
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa
2010 A* conf
Pose estimation in heavy clutter using a multi-flash camera.
ICRA
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa, Amit K. Agrawal, Haruhisa Okuda