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Timo Lüddecke

@timojl.bsky.social
8 followers 33 following 8 posts

University of Göttingen and CIDAS

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Timo Lüddecke @timojl.bsky.social · 02/06/2026
🚀 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
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Timo Lüddecke @timojl.bsky.social · 28/11/2025
📣 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.
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