Charlie S. Burlingham (@csburlingham) header
Charlie S. Burlingham (@csburlingham) profile picture

Charlie S. Burlingham

@csburlingham

Vision Science & AI @ Meta Reality Labs

 Redmond, WA
csb0.github.io/
Joined April 2021
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  • Followers176
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Photo by Charlie S. Burlingham (@csburlingham)Photo by Charlie S. Burlingham (@csburlingham)Photo by Charlie S. Burlingham (@csburlingham)Photo by Charlie S. Burlingham (@csburlingham)
🏖️ Headed to St. Pete Beach for VSS! Presenting new work Monday morning with Phil Guan, Ian Erkelens & Oliver Cossairt @RealityLabs. Come say hi! 📄 Abstract: visionsciences.org/presentat… 🔬 More from Meta Reality Labs: visionsciences.org/presentat… visionsciences.org/presentat… #VSS2025
Image from Charlie S. Burlingham (@csburlingham)
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I'm hiring my first Research Scientist (PhD) Intern Topic areas: • Vision science (brightness, blur) • Environmental & retinal image statistics • Perceptually-aligned vision models • Sensor-to-display control algorithms Please apply if interested: lnkd.in/ea8B-kJv

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lnkd.in
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🎉 New paper out! We show training improves motion categorization but doesn't reduce (or even worsens) misperceptions—explained via model combining efficient coding + implicit categorization + increased encoding precision journals.plos.org/ploscompbi…
Perceptual learning improves discrimination but does not reduce distortions in appearance

Perceptual learning improves discrimination but does not reduce distortions in appearance

Author summary Practicing a perceptual task often enhances the detection and discrimination of relevant visual information, a phenomenon known as perceptual learning, which reflects neural plasticity...

journals.plos.org
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Charlie S. Burlingham retweeted
Eiko Fried (@EikoFried) profile picture
Eiko Fried@EikoFried18 Jul 2024
So in 2007, physicists wrote a paper that made the headlines: according to their calculations, human coin flips aren’t 50/50 - more like 51/49. Why is that, and did students in Amsterdam really flip 350,000 coins to find out? 🧵
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👀Just released in PNAS with Meta @RealityLabs. Laziness is unexpectedly central to gaze in everyday life. Mobile eye tracking dataset covers Pokémon GO, LEGO, driving, shopping, and more.💃Game changer for AR & AI research! w/ @MichaelProulx @tsmurdison + pnas.org/doi/10.1073/pnas.23…
Motor “laziness” constrains fixation selection in real-world tasks | PNAS

Motor “laziness” constrains fixation selection in real-world tasks | PNAS

Humans coordinate their eye, head, and body movements to gather information from a dynamic environment while maximizing reward and minimizing biome...

pnas.org
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We've open-sourced the egocentric eye tracking dataset from our recent papers — via @Facebook @RealityLabs GitHub. ~26 hrs of user gaze and head movement data across 9 everyday tasks: driving, shopping, LEGO, Pokemon GO, + more. github.com/facebookresearch/… h/t @tsmurdison
GitHub - facebookresearch/Reality-Labs-Egocentric-ET: Data and code for the paper "Motor “laziness”...

GitHub - facebookresearch/Reality-Labs-Egocentric-ET: Data and code for the paper "Motor “laziness”...

Data and code for the paper "Motor “laziness” constrains fixation selection in real-world tasks": www.pnas.org/doi/10.1073/pnas.2302239121 - facebookresearch/Reality-Labs-Egocentric-ET

github.com
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, @MichaelProulx, @olegkomo, and Naveen Sendhilnathan!
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Charlie S. Burlingham retweeted
Airi Yoshimoto (@AiriSyoshimoto) profile picture
Airi Yoshimoto@AiriSyoshimoto20 Jun 2024
I’m very excited to share that my graduate work is now online in @ScienceMagazine today! With generous help from my mentor @yuji_ikegaya and my amazing teammates, we investigated a top-down pathway for volitional heart rate regulation! science.org/doi/10.1126/scie…
Top-down brain circuits for operant bradycardia

Top-down brain circuits for operant bradycardia

Heart rate (HR) can be voluntarily regulated when individuals receive real-time feedback. In a rat model of HR biofeedback, the neocortex and medial forebrain bundle were stimulated as feedback and...

science.org
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Charlie S. Burlingham retweeted
Michael J. Proulx (@MichaelProulx) profile picture
Michael J. Proulx@MichaelProulx12 Jun 2024
All-day AR would benefit from AI models that understand a person's context & eye tracking could be key for task recognition. Yet past work - including our own research.facebook.com/public… - hasn't found much added value from gaze in addition to computer vision & egocentric video 2/
Can Gaze Inform Egocentric Action Recognition? - Meta Research

Can Gaze Inform Egocentric Action Recognition? - Meta Research

We investigate the hypothesis that gaze-signal can improve egocentric action recognition on the standard benchmark, EGTEA Gaze++ dataset.

research.facebook.com
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Charlie S. Burlingham retweeted
Leah Banellis (@LeahBanellis) profile picture
Leah Banellis@LeahBanellis10 Jun 2024
Got Butterflies in your Stomach?😵‍💫I am super excited to share the first major study of my postdoc @visceral_mind! We report a multidimensional mental health signature of stomach-brain coupling in the largest sample to date 🧵👇biorxiv.org/content/10.1101/…
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New paper alert! @RealityLabs Eye gaze in everyday life contains multi-scale temporal dependencies across objects (1-7 fixations into past, depending on task). Akin to natural language. Key to foundation models for visual understanding in mixed reality dl.acm.org/doi/10.1145/36499…
Real-World Scanpaths Exhibit Long-Term Temporal Dependencies: Considerations for Contextual AI for...

Real-World Scanpaths Exhibit Long-Term Temporal Dependencies: Considerations for Contextual AI for...

dl.acm.org
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But object-part-based image segmentation is just starting to gain traction, and universal segmentation (segmenting and labelling all image pixels) is still a challenge. So this is one major bottleneck for aligning the model input state space with that of human active vision. 5/
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Once the input state space is well-aligned with human action & vision, and appropriate models that can represent long-term dependencies are used, we believe that multiple problems in contextual AI may be solved convergently by a single (gaze-based) visual foundation model. 6/
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Charlie S. Burlingham retweeted
Jingyang Zhou (@Jingyang_zhou) profile picture
Jingyang Zhou@Jingyang_zhou10 Jun 2024
New article on unifying perceived magnitude and discriminability is out: pnas.org/doi/10.1073/pnas.23… @EeroSimoncelli @lyndoryndo
A unified framework for perceived magnitude and discriminability of sensory stimuli | PNAS

A unified framework for perceived magnitude and discriminability of sensory stimuli | PNAS

The perception of sensory attributes is often quantified through measurements of sensitivity (the ability to detect small stimulus changes), as wel...

pnas.org
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Yasasi (@Yasasi_Abey) profile picture
Yasasi@Yasasi_Abey4 Jun 2024
PETMEI Workshop at @ETRA_conference 2024 kicked off with the keynote speech by @MichaelProulx from @RealityLabs. Insightful speech on pervasive eye tracking challenges for interactions in #ExtendedReality. petmei.org/2024/ #ETRA2024
Image from Yasasi (@Yasasi_Abey)
Image from Yasasi (@Yasasi_Abey)
Image from Yasasi (@Yasasi_Abey)
Image from Yasasi (@Yasasi_Abey)
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Charlie S. Burlingham retweeted
Yasasi (@Yasasi_Abey) profile picture
Yasasi@Yasasi_Abey5 Jun 2024
Paper Session 1: Visual Attention @ETRA_conference 2024 just started. @olegkomo from @RealityLabs and @txst is now presenting their paper on "Per-Subject Oculomotor Plant Mathematical Models and the Reliability of Their Parameters" at #ETRA2024. Paper: doi.org/10.1145/3654701
Image from Yasasi (@Yasasi_Abey)
Image from Yasasi (@Yasasi_Abey)
Image from Yasasi (@Yasasi_Abey)
Image from Yasasi (@Yasasi_Abey)
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