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Ming-Yu Liu

Ming-Yu Liu

Distinguished Research Scientist and Manager at NVIDIA

名字:劉洺堉
Name:Ming-Yu Liu
Ming-Yu Liu is a Distinguished Research Scientist and a Manager with NVIDIA Research, Santa Clara, CA, USA. He was a Principal Research Scientist with Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA. He received the Ph.D. degree from the University of Maryland, College Park, MD, USA, in 2012, advised by Prof. Rama Chellappa. He won the R&D 100 Award for his contribution to a commercial robotic bin picking system. His layered streetview semantic labeling paper was in the best paper finalists in RSS in 2015. He won the first place in both the Domain Adaptation for Semantic Segmentation Competition and the Robust Optical Flow Estimation Challenge in CVPR in 2018. His SPADE paper was in the best paper finalists in CVPR in 2019. In SIGGRAPH Real-Time Live 2019, he won both the Best in Show Award and the Audience Choice Award for his GauGAN demo. His GauGAN App further won the Best of What’s New Award by the Popular Science Magazine in 2019. In 2021, his GAN for video compression work helps NVIDIA win the most disruptive innovator award by Forbes. He has served as the Area Chair for various computer vision and machine learning conferences, including NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, BMVC, and WACV. He has served as the Program Chair of WACV in 2020. Ming-Yu Liu's research is in deep generative models. His goal is to enable machines human-like imagination and creation capability.
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2021

2020

UFO2: A Unified Framework Towards Omni-supervised Object Detection

Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alex Schwing, Jan Kautz
ECCV 2020

2019

Dancing to Music

Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz
NeurIPS 2019
[Code]

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, Rama Chellappa, Jenq-Neng Hwang, and Siwei Lyu
Workshop, CVPR 2018

2017

2016

2015

2014

2013

2012

2011

2010

Technical Committee Experience

Guest Editor

IJCV Special Issue on GANs

Conference Program Chair

WACV2019

Conference Area Chair

ICML2020, ICLR2020, NeurIPS2020, ECCV2020, CVPR2020, ICCV2019, BMVC2018, WACV2018

Reviewer

CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, TPAMI, IJCV, TIP, TMM, CVIU, NSF Proposal

Photorealistic image stylization using a neural network model

US 16,243,375

Unsupervised learning approach for video deblurring

US 10,593,020

Superpixel sampling networks

US 10,789,678

Training a neural network to predict superpixels using segmentation-aware affinity loss

US 10,748,036

Unsupervised learning approach for video deblurring

US 10,593,020

System and method for optical flow estimation

US 10,424,069

System and method for content and motion controlled action video generation

US 10,595,039

System and Method for Controlling Vehicle Using Neural Network

US 9,989,964

Method and System for Generating Multimodal Digital Images

US 9,971,958

Method for Labeling Images of Street Scenes

US 9,811,756

Method for Denoising Time-of-Flight Range Images

US 9,805,294

System and method for semantic segmentation using Gaussian random field network

US 9,704,257

Method and system for denoising images using deep Gaussian conditional random field network

US 9,633,274

Method for semantically labeling an image of a scene using recursive context propagation

US 9,558,268

Method for determining object poses using Weighted Features

US 9,280,827

Method for detecting objects in stereo images

US 9,195,904

Method for increasing resolutions of depth images

US 8,983,177

Voting-based pose estimation for 3D sensors

US 8,908,913

Method for segmenting images using superpixels and entropy rate clustering

US 8,428,363

Awards

2019

Best Paper Finalist

CVPR
2018

1st place in Domain Adaptation for Semantic Segmentation Competition

WAD Challenge at CVPR
2018

1st place in Optical Flow Competition

Robust Vision Challenge at CVPR
2018

Outstanding Reviewer

CVPR
2017, 2018

Pioneer Research Award

NVIDIA
2017

NTECH Best Presenter Award

NVIDIA
2016

CR&D Award

Mitsubishi Electric Research Labs (MERL)
2015

Best Paper Finalist

Robotics Science and Systems (RSS) Conference
2014

R&D 100 Award

R&D Magazine

Awarded to 100 most innovative products of the year. Selected for his contribution to the commercial robotic bin picking system called MELFA3D.