Ming-Yu Liu joined Nvidia Research in 2016. He was a researcher at Mitsubishi Electric Research Labs (MERL) from 2012 to 2016. He received his Ph.D. from the Department of Electrical and Computer Engineering at the University of Maryland College Park in 2012. His early research work on object pose estimation contributed to development of the first commercial vision-based robotic bin-picking system for robotic assembly tasks, which was awarded the 100 most innovative technology products of the year by the R&D magazine in 2014. His robotics science and system (RSS) 2015 conference paper on street scene understanding was in the best paper finalist. Recently, his research focus shifted to deep generative models for image understanding and generation. His goal is to enable machines superhuman-like imagination capabilities.

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Recent Research Focus

pix2pixHD for high-res image synthesis and semantic manipulation (arxiv 2017)

CoupledGAN for unsupervised image-to-image translation (NIPS 2016, NIPS 2017)
Left: input; right: machine-generated

MoCoGAN for video generation (NIPS 2017 workshop)

Other Research