Fast directional chamfer matching. - Ming-Yu Liu 001; Oncel Tuzel; Ashok Veeraraghavan; Rama Chellappa (CVPR, 2010)

Pose estimation in heavy clutter using a multi-flash camera. - Ming-Yu Liu 001; Oncel Tuzel; Ashok Veeraraghavan; Rama Chellappa; Amit K. Agrawal; Haruhisa Okuda (ICRA, 2010)

Entropy rate superpixel segmentation. - Ming-Yu Liu 001; Oncel Tuzel; Srikumar Ramalingam; Rama Chellappa (CVPR, 2011)

Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization. - Michael Hödlmoser; Branislav Micusík; Ming-Yu Liu 001; Marc Pollefeys; Martin Kampel (3DIMPVT, 2012)

A Grassmann manifold-based domain adaptation approach. - Jingjing Zheng; Ming-Yu Liu 001; Rama Chellappa; P. Jonathon Phillips (ICPR, 2012)

Voting-based pose estimation for robotic assembly using a 3D sensor. - Changhyun Choi; Yuichi Taguchi; Oncel Tuzel; Ming-Yu Liu 001; Srikumar Ramalingam (ICRA, 2012)

Fast object localization and pose estimation in heavy clutter for robotic bin picking. - Ming-Yu Liu 001; Oncel Tuzel; Ashok Veeraraghavan; Yuichi Taguchi; Tim K. Marks; Rama Chellappa (Int. J. Robotics Res., 2012)

Discrete Optimization Methods for Segmentation and Matching. - Ming-Yu Liu 001 (2012)

Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests. - Michael Hödlmoser; Branislav Micusík; Marc Pollefeys; Ming-Yu Liu 001; Martin Kampel (3DV, 2013)

Joint Geodesic Upsampling of Depth Images. - Ming-Yu Liu 001; Oncel Tuzel; Yuichi Taguchi (CVPR, 2013)

Learning to Rank 3D Features. - Oncel Tuzel; Ming-Yu Liu 001; Yuichi Taguchi; Arvind Raghunathan (ECCV (1), 2014)

Recursive Context Propagation Network for Semantic Scene Labeling. - Abhishek Sharma 001; Oncel Tuzel; Ming-Yu Liu 001 (NIPS, 2014)

Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint. - Ming-Yu Liu 001; Oncel Tuzel; Srikumar Ramalingam; Rama Chellappa (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Layered Interpretation of Street View Images. - Ming-Yu Liu 001; Shuoxin Lin; Srikumar Ramalingam; Oncel Tuzel (Robotics: Science and Systems, 2015)

Unsupervised Deep Network Pretraining via Human Design. - Ming-Yu Liu 001; Arun Mallya; Oncel C. Tuzel; Xi Chen (CoRR, 2015)

R-CNN for Small Object Detection. - Chenyi Chen; Ming-Yu Liu 001; Oncel Tuzel; Jianxiong Xiao (ACCV (5), 2016)

Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. - Raviteja Vemulapalli; Oncel Tuzel; Ming-Yu Liu 001 (CVPR, 2016)

Gaussian Conditional Random Field Network for Semantic Segmentation. - Raviteja Vemulapalli; Oncel Tuzel; Ming-Yu Liu 001; Rama Chellappa (CVPR, 2016)

Learning to remove multipath distortions in Time-of-Flight range images for a robotic arm setup. - Kilho Son; Ming-Yu Liu 001; Yuichi Taguchi (ICRA, 2016)

Coupled Generative Adversarial Networks. - Ming-Yu Liu 001; Oncel Tuzel (NIPS, 2016)

Unsupervised network pretraining via encoding human design. - Ming-Yu Liu 001; Arun Mallya; Oncel Tuzel; Xi Chen (WACV, 2016)

Automatic Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup. - Kilho Son; Ming-Yu Liu 001; Yuichi Taguchi (CoRR, 2016)

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos. - Hou-Ning Hu; Yen-Chen Lin; Ming-Yu Liu 001; Hsien-Tzu Cheng; Yung-Ju Chang; Min Sun 001 (CVPR, 2017)

CASENet: Deep Category-Aware Semantic Edge Detection. - Zhiding Yu; Chen Feng 002; Ming-Yu Liu 001; Srikumar Ramalingam (CVPR, 2017)

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents. - Yen-Chen Lin; Zhang-Wei Hong; Yuan-Hong Liao; Meng-Li Shih; Ming-Yu Liu 001; Min Sun 001 (IJCAI, 2017)

Unsupervised Image-to-Image Translation Networks. - Ming-Yu Liu 001; Thomas M. Breuel; Jan Kautz (NIPS, 2017)

Attentional Network for Visual Object Detection. - Kota Hara; Ming-Yu Liu 001; Oncel Tuzel; Amir-massoud Farahmand (CoRR, 2017)

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video. - Hou-Ning Hu; Yen-Chen Lin; Ming-Yu Liu 001; Hsien-Tzu Cheng; Yung-Ju Chang; Min Sun 001 (CoRR, 2017)

Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight. - Yen-Chen Lin; Ming-Yu Liu 001; Min Sun 001; Jia-Bin Huang 001 (CoRR, 2017)

Learning Binary Residual Representations for Domain-Specific Video Streaming. - Yi-Hsuan Tsai; Ming-Yu Liu 001; Deqing Sun; Ming-Hsuan Yang 001; Jan Kautz (AAAI, 2018)

Localization-Aware Active Learning for Object Detection. - Chieh-Chi Kao; Teng-Yok Lee; Pradeep Sen; Ming-Yu Liu 001 (ACCV (6), 2018)

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 001; Rama Chellappa; Jenq-Neng Hwang; Siwei Lyu (CVPR Workshops, 2018)

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume. - Deqing Sun; Xiaodong Yang 001; Ming-Yu Liu 001; Jan Kautz (CVPR, 2018)

Learning Superpixels With Segmentation-Aware Affinity Loss. - Wei-Chih Tu; Ming-Yu Liu 001; Varun Jampani; Deqing Sun; Shao-Yi Chien; Ming-Hsuan Yang 001; Jan Kautz (CVPR, 2018)

MoCoGAN: Decomposing Motion and Content for Video Generation. - Sergey Tulyakov; Ming-Yu Liu 001; Xiaodong Yang 001; Jan Kautz (CVPR, 2018)

High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. - Ting-Chun Wang; Ming-Yu Liu 001; Jun-Yan Zhu; Andrew Tao; Jan Kautz; Bryan Catanzaro (CVPR, 2018)

Multimodal Unsupervised Image-to-Image Translation. - Xun Huang; Ming-Yu Liu 001; Serge J. Belongie; Jan Kautz (ECCV (3), 2018)

Superpixel Sampling Networks. - Varun Jampani; Deqing Sun; Ming-Yu Liu 001; Ming-Hsuan Yang 001; Jan Kautz (ECCV (7), 2018)

A Closed-Form Solution to Photorealistic Image Stylization. - Yijun Li 001; Ming-Yu Liu 001; Xueting Li; Ming-Hsuan Yang 001; Jan Kautz (ECCV (3), 2018)

Reblur2Deblur: Deblurring videos via self-supervised learning. - Huaijin G. Chen; Jinwei Gu; Orazio Gallo; Ming-Yu Liu 001; Ashok Veeraraghavan; Jan Kautz (ICCP, 2018)

Context-aware Synthesis and Placement of Object Instances. - Donghoon Lee 004; Sifei Liu; Jinwei Gu; Ming-Yu Liu 001; Ming-Hsuan Yang 001; Jan Kautz (NeurIPS, 2018)

Video-to-Video Synthesis. - Ting-Chun Wang; Ming-Yu Liu 001; Jun-Yan Zhu; Nikolai Yakovenko; Andrew Tao; Jan Kautz; Bryan Catanzaro (NeurIPS, 2018)

Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation. - Aysegul Dundar; Ming-Yu Liu 001; Ting-Chun Wang; John Zedlewski; Jan Kautz (CoRR, 2018)

Video-to-Video Synthesis. - Ting-Chun Wang; Ming-Yu Liu 001; Jun-Yan Zhu; Guilin Liu; Andrew Tao; Jan Kautz; Bryan Catanzaro (CoRR, 2018)

Unsupervised Stylish Image Description Generation via Domain Layer Norm. - Cheng-Kuan Chen; Zhufeng Pan; Ming-Yu Liu 001; Min Sun 001 (AAAI, 2019)

Semantic Image Synthesis With Spatially-Adaptive Normalization. - Taesung Park; Ming-Yu Liu 001; Ting-Chun Wang; Jun-Yan Zhu (CVPR, 2019)

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. - Zheng Tang; Milind Naphade; Ming-Yu Liu 001; Xiaodong Yang 001; Stan Birchfield; Shuo Wang; Ratnesh Kumar 004; David C. Anastasiu; Jenq-Neng Hwang (CVPR, 2019)

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. - Xitong Yang; Xiaodong Yang 001; Ming-Yu Liu 001; Fanyi Xiao; Larry S. Davis; Jan Kautz (CVPR, 2019)

Few-Shot Unsupervised Image-to-Image Translation. - Ming-Yu Liu 001; Xun Huang; Arun Mallya; Tero Karras; Timo Aila; Jaakko Lehtinen; Jan Kautz (ICCV, 2019)

Neural Turtle Graphics for Modeling City Road Layouts. - Hang Chu; Daiqing Li; David Acuna; Amlan Kar; Maria Shugrina; Xinkai Wei; Ming-Yu Liu 001; Antonio Torralba 001; Sanja Fidler (ICCV, 2019)

Meta-Sim: Learning to Generate Synthetic Datasets. - Amlan Kar; Aayush Prakash; Ming-Yu Liu 001; Eric Cameracci; Justin Yuan; Matt Rusiniak; David Acuna; Antonio Torralba 001; Sanja Fidler (ICCV, 2019)

PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows. - Guandao Yang; Xun Huang; Zekun Hao; Ming-Yu Liu 001; Serge J. Belongie; Bharath Hariharan (ICCV, 2019)

Dancing to Music. - Hsin-Ying Lee 001; Xiaodong Yang 001; Ming-Yu Liu 001; Ting-Chun Wang; Yu-Ding Lu; Ming-Hsuan Yang 001; Jan Kautz (NeurIPS, 2019)

Few-shot Video-to-Video Synthesis. - Ting-Chun Wang; Ming-Yu Liu 001; Andrew Tao; Guilin Liu; Bryan Catanzaro; Jan Kautz (NeurIPS, 2019)

Boosting segmentation with weak supervision from image-to-image translation. - Eugene Vorontsov; Pavlo Molchanov 001; Wonmin Byeon; Shalini De Mello; Varun Jampani; Ming-Yu Liu 001; Samuel Kadoury; Jan Kautz (CoRR, 2019)

Learning to Generate Multiple Style Transfer Outputs for an Input Sentence. - Kevin Lin; Ming-Yu Liu 001; Ming-Ting Sun; Jan Kautz (NGT@ACL, 2020)

Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. - Zhongzheng Ren; Zhiding Yu; Xiaodong Yang 001; Ming-Yu Liu 001; Yong Jae Lee; Alexander G. Schwing; Jan Kautz (CVPR, 2020)

UNAS: Differentiable Architecture Search Meets Reinforcement Learning. - Arash Vahdat; Arun Mallya; Ming-Yu Liu 001; Jan Kautz (CVPR, 2020)

World-Consistent Video-to-Video Synthesis. - Arun Mallya; Ting-Chun Wang; Karan Sapra; Ming-Yu Liu 001 (ECCV (8), 2020)

UFO2: A Unified Framework Towards Omni-supervised Object Detection. - Zhongzheng Ren; Zhiding Yu; Xiaodong Yang 001; Ming-Yu Liu 001; Alexander G. Schwing; Jan Kautz (ECCV (19), 2020)

COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. - Kuniaki Saito; Kate Saenko; Ming-Yu Liu 001 (ECCV (3), 2020)

On the distance between two neural networks and the stability of learning. - Jeremy Bernstein; Arash Vahdat; Yisong Yue; Ming-Yu Liu 001 (NeurIPS, 2020)

Learning compositional functions via multiplicative weight updates. - Jeremy Bernstein; Jiawei Zhao; Markus Meister; Ming-Yu Liu 001; Anima Anandkumar; Yisong Yue (NeurIPS, 2020)

SymGAN: Orientation Estimation without Annotation for Symmetric Objects. - Phil Ammirato; Jonathan Tremblay; Ming-Yu Liu 001; Alexander C. Berg; Dieter Fox (WACV, 2020)

Style Example-Guided Text Generation using Generative Adversarial Transformers. - Kuo-Hao Zeng; Mohammad Shoeybi; Ming-Yu Liu 001 (CoRR, 2020)

UFO$^2$: A Unified Framework towards Omni-supervised Object Detection. - Zhongzheng Ren; Zhiding Yu; Xiaodong Yang 001; Ming-Yu Liu 001; Alexander G. Schwing; Jan Kautz (CoRR, 2020)

Guest Editorial: Generative Adversarial Networks for Computer Vision. - Jun-Yan Zhu; Hongsheng Li 001; Eli Shechtman; Ming-Yu Liu 001; Jan Kautz; Antonio Torralba 001 (Int. J. Comput. Vis., 2020)

Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. - Deqing Sun; Xiaodong Yang 001; Ming-Yu Liu 001; Jan Kautz (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. - Ting-Chun Wang; Arun Mallya; Ming-Yu Liu 001 (CVPR, 2021)

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. - Zekun Hao; Arun Mallya; Serge J. Belongie; Ming-Yu Liu 001 (ICCV, 2021)

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis. - Tianchang Shen; Jun Gao 004; Kangxue Yin; Ming-Yu Liu 001; Sanja Fidler (NeurIPS, 2021)

Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update. - Jiawei Zhao; Steve Dai; Rangharajan Venkatesan; Ming-Yu Liu 001; Brucek Khailany; Bill Dally; Anima Anandkumar (CoRR, 2021)

Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation. - Aysegul Dundar; Ming-Yu Liu 001; Zhiding Yu; Ting-Chun Wang; John Zedlewski; Jan Kautz (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications. - Ming-Yu Liu 001; Xun Huang; Jiahui Yu; Ting-Chun Wang; Arun Mallya (Proc. IEEE, 2021)

Multimodal Conditional Image Synthesis with Product-of-Experts GANs. - Xun Huang; Arun Mallya; Ting-Chun Wang; Ming-Yu Liu 001 (ECCV (16), 2022)

Generating Long Videos of Dynamic Scenes. - Tim Brooks; Janne Hellsten; Miika Aittala; Ting-Chun Wang; Timo Aila; Jaakko Lehtinen; Ming-Yu Liu 001; Alexei A. Efros; Tero Karras (NeurIPS, 2022)

Implicit Neural Representations with Levels-of-Experts. - Zekun Hao; Arun Mallya; Serge J. Belongie; Ming-Yu Liu 001 (NeurIPS, 2022)

Implicit Warping for Animation with Image Sets. - Arun Mallya; Ting-Chun Wang; Ming-Yu Liu 001 (NeurIPS, 2022)

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. - 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 001 (CoRR, 2022)

SPACEx: Speech-driven Portrait Animation with Controllable Expression. - Siddharth Gururani; Arun Mallya; Ting-Chun Wang; Rafael Valle; Ming-Yu Liu 001 (CoRR, 2022)

LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update. - Jiawei Zhao; Steve Dai; Rangharajan Venkatesan; Brian Zimmer; Mustafa Fayez Ali; Ming-Yu Liu 001; Brucek Khailany; William J. Dally; Anima Anandkumar (IEEE Trans. Computers, 2022)

Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation. - Yu-Ying Yeh; Koki Nagano; Sameh Khamis; Jan Kautz; Ming-Yu Liu 001; Ting-Chun Wang (ACM Trans. Graph., 2022)

Neuralangelo: High-Fidelity Neural Surface Reconstruction. - Zhaoshuo Li; Thomas Müller 013; Alex Evans; Russell H. Taylor; Mathias Unberath; Ming-Yu Liu 001; Chen-Hsuan Lin 001 (CVPR, 2023)

Magic3D: High-Resolution Text-to-3D Content Creation. - Chen-Hsuan Lin 001; Jun Gao 004; Luming Tang; Towaki Takikawa; Xiaohui Zeng; Xun Huang; Karsten Kreis; Sanja Fidler; Ming-Yu Liu 001; Tsung-Yi Lin (CVPR, 2023)

DiffCollage: Parallel Generation of Large Content with Diffusion Models. - Qinsheng Zhang; Jiaming Song; Xun Huang; Yongxin Chen; Ming-Yu Liu 001 (CVPR, 2023)

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. - Zhuolin Yang; Wei Ping; Zihan Liu 001; Vijay Korthikanti; Weili Nie; De-An Huang; Linxi Fan; Zhiding Yu; Shiyi Lan; Bo Li 026; Mohammad Shoeybi; Ming-Yu Liu 001; et al. (EMNLP (Findings), 2023)

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 001; Jia-Bin Huang 001; Ming-Yu Liu 001; Yogesh Balaji (ICCV, 2023)

SPACE: Speech-driven Portrait Animation with Controllable Expression. - Siddharth Gururani; Arun Mallya; Ting-Chun Wang; Rafael Valle; Ming-Yu Liu 001 (ICCV, 2023)

ATT3D: Amortized Text-to-3D Object Synthesis. - Jonathan Lorraine; Kevin Xie; Xiaohui Zeng; Chen-Hsuan Lin 001; Towaki Takikawa; Nicholas Sharp; Tsung-Yi Lin; Ming-Yu Liu 001; Sanja Fidler; James Lucas (ICCV, 2023)

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. - Jiaming Song; Qinsheng Zhang; Hongxu Yin; Morteza Mardani; Ming-Yu Liu 001; Jan Kautz; Yongxin Chen; Arash Vahdat (ICML, 2023)

JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation. - Yu Zeng 001; Vishal M. Patel; Haochen Wang; Xun Huang; Ting-Chun Wang; Ming-Yu Liu 001; Yogesh Balaji (CVPR, 2024)

Condition-Aware Neural Network for Controlled Image Generation. - Han Cai; Muyang Li; Qinsheng Zhang; Ming-Yu Liu 001; Song Han 003 (CVPR, 2024)

Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. - Yunhao Ge; Xiaohui Zeng; Jacob Samuel Huffman; Tsung-Yi Lin; Ming-Yu Liu 001; Yin Cui (CVPR, 2024)

ExpressiveSinger: Multilingual and Multi-Style Score-based Singing Voice Synthesis with Expressive Performance Control. - Shuqi Dai; Ming-Yu Liu 001; Rafael Valle; Siddharth Gururani (ACM Multimedia, 2024)

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. - Muyang Li; Tianle Cai; Jiaxin Cao; Qinsheng Zhang; Han Cai; Junjie Bai; Yangqing Jia; Ming-Yu Liu 001; Kai Li; Song Han 003 (CoRR, 2024)

Condition-Aware Neural Network for Controlled Image Generation. - Han Cai; Muyang Li; Zhuoyang Zhang; Qinsheng Zhang; Ming-Yu Liu 001; Song Han 003 (CoRR, 2024)

Wolf: Captioning Everything with a World Summarization Framework. - Boyi Li; Ligeng Zhu; Ran Tian; Shuhan Tan; Yuxiao Chen 008; Yao Lu 006; Yin Cui; Sushant Veer; Max Ehrlich; Jonah Philion; Xinshuo Weng; Fuzhao Xue; et al. (CoRR, 2024)

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. - Zhendong Wang; Zhaoshuo Li; Ajay Mandlekar; Zhenjia Xu; Jiaojiao Fan; Yashraj S. Narang; Linxi Fan; Yuke Zhu; Yogesh Balaji; Mingyuan Zhou; Ming-Yu Liu 001; Yu Zeng 001 (CoRR, 2024)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. - 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; et al. (CoRR, 2024)

Edify 3D: Scalable High-Quality 3D Asset Generation. - Maciej Bala; Yin Cui; Yifan Ding; Yunhao Ge; Zekun Hao; Jon Hasselgren; Jacob Samuel Huffman; Jingyi Jin; J. P. Lewis 001; Zhaoshuo Li; Chen-Hsuan Lin 001; Yen-Chen Lin; et al. (CoRR, 2024)

Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale. - Zekun Hao; David W. Romero; Tsung-Yi Lin; Ming-Yu Liu 001 (CoRR, 2024)

Dynamic Camera Poses and Where to Find Them. - Chris Rockwell 001; Joseph Tung; Tsung-Yi Lin; Ming-Yu Liu 001; David F. Fouhey; Chen-Hsuan Lin 001 (CVPR, 2025)

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 001; Abe Davis; Yifan Ding (CVPR, 2025)

HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. - Hermann Kumbong; Xian Liu; Tsung-Yi Lin; Ming-Yu Liu 001; Xihui Liu; Ziwei Liu; Daniel Y. Fu; Christopher Ré; David W. Romero (CVPR, 2025)

Articulated Kinematics Distillation from Video Diffusion Models. - Xuan Li; Qianli Ma; Tsung-Yi Lin; Yongxin Chen; Chenfanfu Jiang; Ming-Yu Liu 001; Donglai Xiang (CVPR, 2025)

A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation. - Andrew Z. Wang; Songwei Ge; Tero Karras; Ming-Yu Liu 001; Yogesh Balaji (CVPR, 2025)

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. - Qingqing Zhao; Yao Lu 006; Moo Jin Kim; Zipeng Fu; Zhuoyang Zhang; Yecheng Wu; Zhaoshuo Li; Qianli Ma; Song Han 003; Chelsea Finn; Ankur Handa; Tsung-Yi Lin; et al. (CVPR, 2025)

High-Quality Joint Image and Video Tokenization with Causal VAE. - Dawit Mureja Argaw; Xian Liu; Qinsheng Zhang; Joon Son Chung; Ming-Yu Liu 001; Fitsum Reda (ICLR, 2025)

EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation. - Jiaxiang Tang; Zhaoshuo Li; Zekun Hao; Xian Liu; Gang Zeng; Ming-Yu Liu 001; Qinsheng Zhang (ICLR, 2025)

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. - Kaiwen Zheng; Yongxin Chen; Hanzi Mao; Ming-Yu Liu 001; Jun Zhu 001; Qinsheng Zhang (ICLR, 2025)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

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 001; Jun Zhu 001; Qinsheng Zhang (CoRR, 2025)

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control. - Hassan Abu Alhaija; José M. Álvarez 004; Maciej Bala; Tiffany Cai; Tianshi Cao; Liz Cha; Joshua Chen; Mike Chen; Francesco Ferroni; Sanja Fidler; Dieter Fox; Yunhao Ge; et al. (CoRR, 2025)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - 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; et al. (CoRR, 2025)

PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond. - Ming-Yu Liu 001; Mikaela Angelina Uy; Donglai Xiang; Hao Su; Sanja Fidler; Nicholas Sharp; Jun Gao 004 (CoRR, 2025)

Describe Anything: Detailed Localized Image and Video Captioning. - Long Lian; Yifan Ding; Yunhao Ge; Sifei Liu; Hanzi Mao; Boyi Li; Marco Pavone 001; Ming-Yu Liu 001; Trevor Darrell; Adam Yala; Yin Cui (CoRR, 2025)

Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light. - Ali Hassani 001; Fengzhe Zhou; Aditya Kane; Jiannan Huang 002; Chieh-Yun Chen; Min Shi; Steven Walton 001; Markus Hoehnerbach; Vijay Thakkar; Michael Isaev; Qinsheng Zhang; Bing Xu; et al. (CoRR, 2025)

Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation. - Lu Ling; Chen-Hsuan Lin 001; Tsung-Yi Lin; Yifan Ding; Yu Zeng 001; Yichen Sheng; Yunhao Ge; Ming-Yu Liu 001; Aniket Bera; Zhaoshuo Li (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. - 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; et al. (CoRR, 2025)

Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. - Huayu Chen; Kaiwen Zheng; Qinsheng Zhang; Ganqu Cui; Yin Cui; Haotian Ye; Tsung-Yi Lin; Ming-Yu Liu 001; Jun Zhu 001; Haoxiang Wang (CoRR, 2025)

Efficient Part-level 3D Object Generation via Dual Volume Packing. - Jiaxiang Tang; Ruijie Lu; Zhaoshuo Li; Zekun Hao; Xuan Li; Fangyin Wei; Shuran Song; Gang Zeng; Ming-Yu Liu 001; Tsung-Yi Lin (CoRR, 2025)

MambaVideo for Discrete Video Tokenization with Channel-Split Quantization. - Dawit Mureja Argaw; Xian Liu; Joon Son Chung; Ming-Yu Liu 001; Fitsum Reda (CoRR, 2025)

"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models. - Jing Gu; Xian Liu; Yu Zeng 001; Ashwin Nagarajan; Fangrui Zhu; Daniel Hong; Yue Fan; Qianqi Yan; Kaiwen Zhou; Ming-Yu Liu 001; Xin Eric Wang (CoRR, 2025)