Ming-Yu Liu

Affiliations:
  • Nvidia Research
  • Mitsubishi Electric Research Labs (MERL)
  • University Of Maryland


According to our database1, Ming-Yu Liu authored at least 91 papers between 2010 and 2023.

Collaborative distances:

Timeline

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Bibliography

2023
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
CoRR, 2023

Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation.
Proceedings of the International Conference on Machine Learning, 2023

ATT3D: Amortized Text-to-3D Object Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SPACE: Speech-driven Portrait Animation with Controllable Expression.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DiffCollage: Parallel Generation of Large Content with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Magic3D: High-Resolution Text-to-3D Content Creation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neuralangelo: High-Fidelity Neural Surface Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation.
ACM Trans. Graph., 2022

LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update.
IEEE Trans. Computers, 2022

SPACEx: Speech-driven Portrait Animation with Controllable Expression.
CoRR, 2022

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

Implicit Warping for Animation with Image Sets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Implicit Neural Representations with Levels-of-Experts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generating Long Videos of Dynamic Scenes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal Conditional Image Synthesis with Product-of-Experts GANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications.
Proc. IEEE, 2021

Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update.
CoRR, 2021

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Guest Editorial: Generative Adversarial Networks for Computer Vision.
Int. J. Comput. Vis., 2020

UFO$^2$: A Unified Framework towards Omni-supervised Object Detection.
CoRR, 2020

Style Example-Guided Text Generation using Generative Adversarial Transformers.
CoRR, 2020

SymGAN: Orientation Estimation without Annotation for Symmetric Objects.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning compositional functions via multiplicative weight updates.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the distance between two neural networks and the stability of learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder.
Proceedings of the Computer Vision - ECCV 2020, 2020

UFO<sup>2</sup>: A Unified Framework Towards Omni-supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

World-Consistent Video-to-Video Synthesis.
Proceedings of the Computer Vision - ECCV 2020, 2020

UNAS: Differentiable Architecture Search Meets Reinforcement Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Generate Multiple Style Transfer Outputs for an Input Sentence.
Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019
Boosting segmentation with weak supervision from image-to-image translation.
CoRR, 2019

Few-shot Video-to-Video Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dancing to Music.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Meta-Sim: Learning to Generate Synthetic Datasets.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Neural Turtle Graphics for Modeling City Road Layouts.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Unsupervised Image-to-Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

STEP: Spatio-Temporal Progressive Learning for Video Action Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Semantic Image Synthesis With Spatially-Adaptive Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Stylish Image Description Generation via Domain Layer Norm.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Video-to-Video Synthesis.
CoRR, 2018

Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation.
CoRR, 2018

Video-to-Video Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Context-aware Synthesis and Placement of Object Instances.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reblur2Deblur: Deblurring videos via self-supervised learning.
Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018

A Closed-Form Solution to Photorealistic Image Stylization.
Proceedings of the Computer Vision - ECCV 2018, 2018

Superpixel Sampling Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Multimodal Unsupervised Image-to-Image Translation.
Proceedings of the Computer Vision - ECCV 2018, 2018

High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MoCoGAN: Decomposing Motion and Content for Video Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Superpixels With Segmentation-Aware Affinity Loss.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The 2018 NVIDIA AI City Challenge.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Localization-Aware Active Learning for Object Detection.
Proceedings of the Computer Vision - ACCV 2018, 2018

Learning Binary Residual Representations for Domain-Specific Video Streaming.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight.
CoRR, 2017

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Video.
CoRR, 2017

Attentional Network for Visual Object Detection.
CoRR, 2017

Unsupervised Image-to-Image Translation Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents.
Proceedings of the 5th International Conference on Learning Representations, 2017

CASENet: Deep Category-Aware Semantic Edge Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Automatic Learning to Remove Multipath Distortions in Time-of-Flight Range Images for a Robotic Arm Setup.
CoRR, 2016

Unsupervised network pretraining via encoding human design.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Coupled Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning to remove multipath distortions in Time-of-Flight range images for a robotic arm setup.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Gaussian Conditional Random Field Network for Semantic Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

R-CNN for Small Object Detection.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Unsupervised Deep Network Pretraining via Human Design.
CoRR, 2015

Layered Interpretation of Street View Images.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

2014
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Recursive Context Propagation Network for Semantic Scene Labeling.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning to Rank 3D Features.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Joint Geodesic Upsampling of Depth Images.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests.
Proceedings of the 2013 International Conference on 3D Vision, 2013

2012
Discrete Optimization Methods for Segmentation and Matching.
PhD thesis, 2012

Fast object localization and pose estimation in heavy clutter for robotic bin picking.
Int. J. Robotics Res., 2012

Voting-based pose estimation for robotic assembly using a 3D sensor.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A Grassmann manifold-based domain adaptation approach.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011
Entropy rate superpixel segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Pose estimation in heavy clutter using a multi-flash camera.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Fast directional chamfer matching.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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