In the press: AI can’t see as well as humans, and how to fix it
My work has recently been covered by the press.
Hi! I'm Ben Lonnqvist, a 5th year Neuroscience PhD student at EPFL.
I'm advised by Michael Herzog and Martin Schrimpf. I work on understanding human vision with deep neural networks using several approaches that complement each other: psychophysics, analysis of neural data, and model-building.
Here you can find links to my social media, as well as my CV. If you want to get in touch, just email me!
Here you can find links to my social media, as well as my CV. If you want to get in touch, just email me!
Recent posts
ICML’25 Paper: Contour Integration Underlies Human-Like Vision
Our new paper on a large-scale comparison of humans and DNNs has been presented at ICML 2025! We show that many models fail when object contours are fragment...
In the press: Latent Noise Segmentation
My paper on Latent Noise Segmentation, published at the top conference ICML, has recently been picked up by the Finnish press. I gave an interview to Finnish...
CCN’24 Poster: Current DNNs are Unable to Integrate Visual Information Across Object Discontinuities
I attended Cognitive Computational Neuroscience in Boston this year and presented my new work on how Current DNNs are Unable to Integrate Visual Information ...
ICML’24 Paper: Latent Noise Segmentation!
Our paper on: Latent Noise Segmentation has been accepted at ICML 2024! We show that neural noise can be used for unsupervised segmentation, and doing so rep...