Eric Brachmann

@ericbrachmann.bsky.social

Niantic Spatial, Research. Throws machine learning at traditional computer vision pipelines to see what sticks. Differentiates the non-differentiable. ๐Ÿ“Europe ๐Ÿ”— http://ebrach.github.io

I have had 70 co-authors so far. I took some time to wire all these names up with their websites on my personal page. (The BOP papers have been a real pain. ๐Ÿ˜…) Fun to browse through what all these people have been up to since we collaborated.

We are grateful to all of the 17,491 reviewers who helped make #CVPR2026 possible. We are especially pleased to recognize the following Outstanding Reviewers, whose high-quality reviews (as judged by their Area Chairs) placed them among the top 5% of reviewers. 1/2

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Robotics researchers, this is an occasion not to be missed: top-notch speakers in an excellent location in the Alps this February ๐Ÿค–โ›ท๏ธ It's the Winter School on Social Robotics, Artificial Intelligence and Multimedia (SoRAIM), 9-13 Feb 2026 ๐Ÿ‘‡

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โ€ผ๏ธ Major update to the #ACEZero code base. We added the capabilities of the #ICCV2025 paper on Scene Coordinate Reconstruction Priors. Gives you, e.g., a RGB-D version of ACE0. In the snipped below, I jointly reconstruct multiple RGB-D scans of ScanNet. github.com/nianticlabs/...

Eric Brachmann@ericbrachmann.bsky.social ยท 10mo ago

๐ŸŒŸ Scene Coordinate Reconstruction Priors at #ICCV2025 ๐ŸŒŸ Can we learn what a successful reconstruction looks like, and use this knowledge when reconstructing new scenes? Explainer: youtu.be/RkV6U5xYc20 Project Page: nianticspatial.github.io/scr-priors Inspiring work by Wenjing Bian et al.!