Ming-Yu Liu is a Vice President of Research at NVIDIA and a Fellow of IEEE. He leads the Deep Imagination Research group at NVIDIA, which currently focuses on Generative AI for Physical AI. His research team has helped create several new product categories for NVIDIA, including NVIDIA Cosmos, a developer-first world foundation model platform for Physical AI, NVIDIA Edify, a family of Generative AI models that powers Getty Images and Shutterstock's GenAI services, NVIDIA Canvas [GauGAN], a real-time painting tool that uses GANs to turn simple brushstrokes into photorealistc images, and NVIDIA Maxine [LivePortrait], an AI-first cloud-native video streaming platform. His research group constantly publishes scientific papers in top-tier AI conferences regularly, including NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, and SIGGRAPH. Several of their papers received prestigious awards.


Awards


Research community service

  • Conference Program Chair: WACV (2020)

  • Conference Senior Area Chair: ICLR (2024)

  • Conference Area Chair: NeurIPS (2020, 2021, 2022), ICML (2021, 2022, 2023), ICLR (2021, 2022, 2023), CVPR (2020, 2022), ICCV (2019, 2021), ECCV (2020), AAAI (2023), BMVC (2019), WACV (2019)


Co-hosted Tutorials

  • [Site] ICCV 2019 Tutorial on Accelerating Computer Vision with Mixed Precision

  • [Site] ICIP 2019 Tutorial: Image-to-Image Translation

  • [Site] CVPR 2019 Tutorial: Deep Learning for Content Creation

  • [Site] CVPR 2017 Tutorial: Theory and Applications of Generative Adversarial Networks

  • [Site] ACCV 2016 Tutorial: Deep Learning for Vision Guided Language Generation and Image Generation


Co-hosted Workshops

  • [Site] CVPR 2021 Workshop: Content Creation

  • [Site] CVPR 2020 Workshop: Content Creation

  • [Site] ICCV 2019 Workshop: Image and Video Synthesis: How, Why and "What if"?

  • [Site] ICCV 2019 Workshop: Advances in Image Manipulation workshop and challenges on image and video manipulation

  • [Site] CVPR 2019 Workshop: 4th New Trends in Image Restoration and Enhancement workshop and challenges

  • [Site]CVPR 2019 Workshop: AI City Challenge

  • [Site] CVPR 2018 Workshop: AI City Challenge