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Sergio Izquierdo

@sizquierdo.bsky.social

PhD candidate at University of Zaragoza. Previously intern at Niantic Labs and Skydio. Working on 3D reconstruction and Deep Learning. serizba.github.io

Posts Replies Media

Sergio Izquierdo @sizquierdo.bsky.social · 20/01/2026

Thanks for sharing! I put care and love into the cover, creating it in QGIS and Illustrator to showcase my beloved Zaragoza

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Reposted by Sergio Izquierdo

Bernhard Jaeger @bernhard-jaeger.bsky.social · 31/07/2025

One concern that I have as an AI researcher when publishing code is that it can potentially be used in dual-use applications. To solve this, we propose Civil Software Licenses. They prevent dual-use while being minimal in the restrictions they impose: civil-software-licenses.github.io

civil-software-licenses.github.io

Civil Software Licenses

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Sergio Izquierdo @sizquierdo.bsky.social · 14/06/2025

Presenting today at #CVPR poster 81. Code is available at github.com/nianticlabs/... Want to try it on an iPhone video? On Android? On any other sequence you have? We got you covered. Check the repo.

github.com

GitHub - nianticlabs/mvsanywhere

Contribute to nianticlabs/mvsanywhere development by creating an account on GitHub.

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Sergio Izquierdo @sizquierdo.bsky.social · 14/06/2025

Presenting it now at #CVPR

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Sergio Izquierdo @sizquierdo.bsky.social · 15/05/2025

Happy to be one of them

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Sergio Izquierdo @sizquierdo.bsky.social · 31/03/2025

🔍Looking for a multi-view depth method that just works? We're excited to share MVSAnywhere, which we will present at #CVPR2025. MVSAnywhere produces sharp depths, generalizes and is robust to all kind of scenes, and it's scale agnostic. More info: nianticlabs.github.io/mvsanywhere/

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Riku Murai @rmurai0610.bsky.social · 25/02/2025

MASt3R-SLAM code release! github.com/rmurai0610/M... Try it out on videos or with a live camera Work with @ericdexheimer.bsky.social*, @ajdavison.bsky.social (*Equal Contribution)

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Reposted by Sergio Izquierdo

Dmytro Mishkin @ducha-aiki.bsky.social · 25/02/2025

MegaLoc: One Retrieval to Place Them All @berton-gabri.bsky.social Carlo Masone tl;dr: DINOv2-SALAD, trained on all available VPR datasets works very well. Code should at github.com/gmberton/Meg..., but not yet arxiv.org/abs/2502.17237

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