Humphrey Shi

Assistant Professor of Computer Science, University of Oregon

Chief Scientist of Picsart & Founder of Picsart AI Research (PAIR)

Adjunct Assistant Professor of ECE & Graduate Faculty Member, UIUC

More Information: CV | SHI Labs | IFP Group @ UIUC | PAIR @ Picsart

Resources: Google Scholar | GitHub (SHI Labs | PAIR) | YouTube | Twitter | LinkedIn

Prospective Students & Collaborators: Contact me.

Research Interests:

I am broadly interested in basic research motivated by important applications, mostly within Computer Vision & AI. I care about both the basic aspect (fundamental, curiosity, simplicity) and the application aspect (effective, useful/fun, impactful). I have recently worked in the following topics:

    • Computer Vision: accurate & efficient visual perception, super-resolution, enhancement, inpainting, generation & editing, etc.

    • Machine Learning: transformers, data & compute efficient deep learning, transfer learning, interpretability, generative models, etc.

    • AI Systems & Applications for Art, Agriculture, Education, Engineering, Medicine, Finance, Science, Transportation, etc.

Besides my university labs, I am also leading a team of over 100 talented AI scientists, engineers and creatives globally distributed across US, Europe and Asia at Picsart (a largest computer vision platform, top 20 most downloaded app in the world in 2020~2022 with 150 million monthly active users and a 🦄️). We innovate on the forefront of AI research, engineering and product for creative communication to empower the creator in everyone of us. Many of our research, technology and products are being used by millions of people everyday across the globe through the Picsart app, website and APIs, try them if you haven't already :-)

find our recent papers on Google Scholar ...

Recent Teaching:

  • University of Oregon CS472/572: Machine Learning (Winter 2022)

  • University of Oregon CIS 322: Intro to Software Engineering (Winter 2022)

  • University of Oregon CIS 607: Special Topics in Computer Vision & Deep Learning (Winter 2022)

Recent Services:

  • Demo Chair: CVPR 2022

  • Area Chairs: CVPR 2021, 2022, ICCV 2021, ECCV 2020, 2022

  • Associate Editor: IEEE TCSVT 2021-2022

  • Workshop Organizer: Agriculture-Vision @CVPR 2022