Bria Long

@brialong.bsky.social

Interested in how we learn to derive visual meaning. Asst. Prof. at UCSD Psych. Mom x2, open science advocate. She/her. brialong.com | vislearnlab.org

excited to be at #CCN2026! come talk to our very new lab during the poster sessions 🌱 we're introducing novel computational frameworks to model human 3D vision + developing theoretical and empirical strategies for understanding these abilities say hello & let us know what you think!

Stephanie Fu
B89: Foveated multiview models of human 3D shape perception

Václav Knapp 
B90: Distribution shift predicts the dynamics of 3D perception

Tyler Bonnen
C78: Human-level 3D perception emerges from multi-view learning

Nathan Kong
F75: Evaluating spatial perception in humans and machines

One current debate about infants vs AI: how much visual experience do they each need to learn to see? Don’t miss the neat relevant evidence and calculation in @fkamps.bsky.social 's paper, and explained in 🧵 ⤵️.

Freddy Kamps@fkamps.bsky.social · last wk.

New paper! We found basic scene selectivity arises across the scene network early in infancy (i.e., by ~3.5 months old), prior to independent navigation experience www.pnas.org/doi/10.1073/...

Finally, today is the day: Josefine Zerbe will present and release our new multi-echo 7T fMRI dataset LAION-fMRI during #VSS2026, with >30 fMRI session per subject and unprecedented stimulus diversity. Come to Talk Room 1 (Scene perception) today at 5:15. Details will follow in a separate thread!

Bild

Exciting analysis of objects in kids' everyday visual input (BabyView). Today's best categorization models still train on curated photos — not the long-tailed categories and non-canonical viewpoints kids actually see. A difference in kind, not just quantity, pointing to a fundamental algorithmic gap

jane-yang.bsky.social@jane-yang.bsky.social · 3mo ago

Children acquire object category representations from their everyday experiences in the first few years of life. What do the inputs to this learning process actually look like? New preprint! arxiv.org/abs/2605.14990

Introducing Datapages, a new project from Mika Braginsky and me. Datapages are open-source templates for creating interactive websites that make research datasets easy to find, explore, and reuse. No coding required for the basic setup. babieslearninglanguage.blogspot.com/2026/04/data...

Datapages for reusable (and pretty!) data sharing

Blog about fatherhood, langauge, developmental psychology, and cognitive science.

babieslearninglanguage.blogspot.com

New paper in Child Development! When we enter others' homes, we learn about them from the placement of their belongings. This requires integrating multiple social factors (social context, pref). We find 6+yo succeed at integration & 'read the room' in this way! academic.oup.com/chidev/artic...

Reading the room: Children integrate multiple social factors to predict and interpret objects' locations

Abstract. Adults infer social information from objects' locations by integrating multiple causal factors, which is often challenging for children. To test

academic.oup.com

excited to share some recent work! neural networks trained on multi-view sensory data are the first to match human-level 3D shape perception we predict human accuracy, error patterns, and reaction time—all zero-shot, no training on experimental data arxiv.org/abs/2602.17650 1/🧠

Human-level 3D shape perception emerges from multi-view learning

Humans can infer the three-dimensional structure of objects from two-dimensional visual inputs. Modeling this ability has been a longstanding goal for the science and engineering of visual intelligenc...

arxiv.org

We are still hiring for our computational focus lab coordinator position! If you have a computational / software engineering background and are looking for more research experience before applying to graduate school, this would be a great fit. Read more about our lab here! www.vislearnlab.org

The Visual Learning Lab is hiring TWO lab coordinators! Both positions are ideal for someone looking for research experience before applying to graduate school. Application deadline is Feb 10th (approaching fast!)—with flexible summer start dates.

starting fall 2026 i'll be an assistant professor at @upenn.edu 🥳 my lab will develop scalable models/theories of human behavior, focused on memory and perception currently recruiting PhD students in psychology, neuroscience, & computer science! reach out if you're interested 😊

a red building on UPENN's campus photographed during the fallthe Philadelphia skyline, with clear skies and autumn trees

This platform is so important! It allows researchers regardless of their university prestige to do research! So important for leveling the playing field for many developmental psychologist scientist from under resourced institutions. Please consider donating - donations will be matched!

Melissa Kline Struhl@mekline.bsky.social · 8mo ago

This is a fundraising post! An anonymous donor is matching contributions to Children Helping Science up to 100K through the end of the year - if it's in your giving budget, please consider supporting open science infrastructure! giving.mit.edu/search/node/... Details below...