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Lab launching in Summer 2024!

When we open our eyes, we don’t see “a blooming, buzzing confusion:” we see tables, chairs, computers, books, and cups. How do we learn to connect incoming patterns of light with our knowledge about all of these objects and the categories they belong to? In other words, how do we learn to derive visual meaning?

These fundamental questions drive research in the Visual Learning Lab at UC San Diego.  We take an ecological approach to this problem by focusing on how learning occurs in everyday, naturalistic contexts. Our work leverages innovations in machine learning to help us both analyze large datasets (e.g., videos taken from the infant perspective or digital drawings made by children, see right) and to construct models of how learning unfolds over time. Learn more on the research page or read recent work.

And click here for more information on joining the lab!

News & Events

  • Our team is growing! 

    • AJ Haskins will join the lab as a postdoctoral fellow this fall. Welcome AJ!!

    • Tarun Sepuri  will join the lab as a laboratory coordinator this fall. Welcome Tarun!!

    • Jane Yang has joined the lab as the first graduate student! Welcome Jane!!!  

  • Upcoming conference talk at the Vision Sciences Society

  • Upcoming invited talk on June 17th the EgoVis workshop @ CVPR 2024 ​​

  • Recent events

    • Talk on March 21st at the Cognitive Developmental Society CogDev & AI pre-conference!

    • Poster at Cognitive Developmental Society on individual variation in children's drawings!

    • New publication! Parallel developmental changes in children’s production and recognition of line drawings of visual concepts was published online in Nature Communications.; see Stanford News press release

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