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jane-yang.bsky.social

@jane-yang.bsky.social
52 followers 26 following 6 posts

PhD student in the Visual Learning Lab @ UC San Diego advised by Dr. Bria Long. Studying how infants & children learn visual object representations from naturalistic experience. 🔗 janeyang07.github.io

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jane-yang.bsky.social @jane-yang.bsky.social · 16/05/2026
Category organization: We found stronger within-superordinate clustering in the child’s view than in a curated dataset (THINGS). We also find this pattern in data from individual children. Maybe this provides a way for children to parse the “blooming buzzing confusion” of their visual world!
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jane-yang.bsky.social @jane-yang.bsky.social · 16/05/2026
Content: huge variation in viewpoint & format — including lots of depictions (esp. animals—examples below!!. Children are learning about many categories from these kinds of “child-directed” visuals rather than real-life exemplars.
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jane-yang.bsky.social @jane-yang.bsky.social · 16/05/2026
What did we find? First, we found that a few categories dominate — across all domains! Children see some categories much more often than others, replicating prior work.
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jane-yang.bsky.social @jane-yang.bsky.social · 16/05/2026
We analyzed the objects in view in 868 hours of egocentric videos from the BabyView dataset—from 31 children (5-36 months old). We used an object detection model to extract object categories from >3M frames—pipeline below. And more about the BabyView Project here! babyview-project.github.io
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