PhD student in the Computer Vision and Geometry Group, ETH Zürich

Zurich, Switzerland
Joined October 2013
Philipp Lindenberger retweeted
The submissions to our @CVPR workshop OpenSUN3D on Open-World 3D Scene Understanding and Representations are open! 🏔️🤖☀️ ➡️ The deadline for the proceedings track is on the 5th of March!🏃‍♀️ 🌍: opensun3d.github.io 📝: openreview.net/group?id=thec…
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Philipp Lindenberger retweeted
RaCo: Ranking and Covariance for Practical Learned Keypoints Abhiram Shenoi @PhilippCSE @pesarlin @mapo1 tl;dr: ALIKED arch + DaD RL training with full 360deg rotaug with detector+covariance heads, separate ranker (sorter) model . No IMC eval #3DV2026 openreview.net/forum?id=BWtd…
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At #NeurIPS2025, we're presenting our work on Scaling Image Geo-Localization to Continent Level. Website: scaling-geoloc.github.io Paper: arxiv.org/pdf/2510.26795.pdf If you are at the conference, say 👋: 📍 Poster #4812, Dec 3 (Wed), 4:30–7:30 PM PST
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We propose to tackle this problem by fusing two popular research branches: direct image geo-localization via classification, and cross-view retrieval against aerial imagery. We show that these tasks not only synergize, but eliminate fundamental limitations of the other approach.
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Philipp Lindenberger retweeted
Some benchmark of the modern local features with LightGlue on #IMC2021 dataset. 0) Use ALIKED features. 1) ALIKED 2k is on par with other features 8k 2) DISK overfits to buildings 3) DoG detector benefits from 8k the most
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Philipp Lindenberger retweeted
📢Join us tomorrow Friday morning at our #ICCV2023 poster S-6 to learn more about LightGlue! 💥We have released the training code at github.com/cvg/glue-factory ➡️You can now train LightGlue with SIFT, ALIKED, or your own local features, on your own dataset ⏩More models coming soon!
You liked SuperGlue? You'll love ⚡️LightGlue⚡️, our new deep network for light-speed image matching! ➡️Faster, stronger, easier to train than SuperGlue ➡️Code: github.com/cvg/LightGlue ➡️Paper: arxiv.org/pdf/2306.13643.pdf Fantastic work by @PhilippCSE for #ICCV2023, with @mapo1 1/
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Philipp Lindenberger retweeted
You liked SuperGlue? You'll love ⚡️LightGlue⚡️, our new deep network for light-speed image matching! ➡️Faster, stronger, easier to train than SuperGlue ➡️Code: github.com/cvg/LightGlue ➡️Paper: arxiv.org/pdf/2306.13643.pdf Fantastic work by @PhilippCSE for #ICCV2023, with @mapo1 1/
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Philipp Lindenberger retweeted
Best Student Paper @ICCV_2021 Pixel-Perfect Structure-from-Motion with Featuremetric Refinement Philipp Lindenberger (ETH Zurich), Paul-Edouard Sarlin (ETH Zurich), Viktor Larsson, Marc Pollefeys [Session 5 A/B]
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Philipp Lindenberger retweeted
🚨 This week at #ICCV2021, check out "Pixel-Perfect Structure-from-Motion with Featuremetric Refinement" w/ @PhilippCSE V. Larsson @mapo1 ➡️ oral & *best student paper award* Website: psarlin.com/pixsfm Paper: arxiv.org/abs/2108.08291 Video: youtu.be/2HuCMuraFk0 thread ⬇️
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