Ming-Yu Liu is a senior research scientist at NVIDIA Research. Before joining NVIDIA Research, he was a principal research scientist 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. The object pose estimation algorithm he developed was a major component of a commercial vision-based robotic bin-picking system, which was awarded the 100 most innovative technology products of the year by the R&D magazine in 2014. His street scene understanding paper was selected in the best paper finalist by the Robotics Science and System (RSS) conference in 2015. Recently, his research focus shifted to generative models for image understanding and generation. His goal is to enable machines superhuman-like imagination capabilities.

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Recent Research Focus

FastPhotoStyle Transfer style of a real photo to another real photo (arxiv 2018)

pix2pixHD for high-res image synthesis and semantic manipulation (CVPR 2018)

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

MoCoGAN for video generation (CVPR 2018)

Other Research