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Alexander Ecker

@aecker.bsky.social

Neuroscience, Machine Learning, Computer Vision • Scientist at @unigoettingen.bsky.social & MPI-DS • https://eckerlab.org • Co-founder of https://maddox.ai • Dad of three • All things outdoor

29 Posts426 Follower380 Folgt
Timo Lüddecke@timojl.bsky.social · 2mo ago

🚀 Introducing LiDeRe: a lightweight readout that turns frozen vision backbones (e.g. DINOv3) into strong dense predictors. A tiny head → semantic segmentation, detection, pose, contour. Often beats SoTA methods with a fraction of the trainable parameters. At #CVPR2026, poster session 1 on Friday.

LiDeRe summary figure
Alexander Ecker@aecker.bsky.social · 8mo ago

If you recently finished your PhD in ML for life science and are looking for a new job early next year, please apply! Göttingen is a lovely town and a great scientific environment.

Fabian Sinz@sinzlab.bsky.social · 8mo ago

🔬 We're hiring a Junior Group Leader for Data-Driven Digital Twins/System Models in medicine/life sciences at @uni_goettingen! Perfect opportunity for early-career researchers who want to: - Lead their own research group - Work at the intersection of AI, simulation, and biomedicine

Timo Lüddecke@timojl.bsky.social · 8mo ago

📣 Paper alert: We present dense attentive probing (DeAP), a method to measure the representation quality of various vision backbones for dense prediction tasks. It uses small, parameter-efficient readouts with learnable masks to generate dense predictions from backbone features of any size.

Alexander Ecker@aecker.bsky.social · last yr.

📣 Now out in Nature Communications as part of the MICrONS package: Our study on excitatory morphological cell types in mouse visual cortex led by Marissa Weis. We describe a set of principles that capture the morphological diversity excitatory neurons. A thread: (1/12) www.nature.com/articles/s41...

An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex - Nature Communications

Excitatory neurons in the neocortex exhibit considerable morphological diversity, yet their organizational principles remain a subject of ongoing research. Here, the authors use unsupervised learning ...

nature.com

SFB 1528 - Cognition of Interaction@sfb1528.bsky.social · last yr.

SFB Paper Alert! That’s teamwork: 14 SFB members across nine projects put together a perspective paper on “Computer vision for primate behavior analysis in the wild”, which was published in @naturemethods.bsky.social www.nature.com/articles/s41...

Computer vision for primate behavior analysis in the wild - Nature Methods

In this Perspective, Vogg et al. discuss the progress and challenges of using computer vision approaches in the behavioral analysis of primates in their natural environment.

nature.com