she/her - https://dlarlus.github.io/
Download ➡️ tinyurl.com/anny-one
*⃣ 800K images
🚀Multi-view & multi-person
🏠Indoor 3D scenes
📷Wild cameras
🔥Anny format! github.com/naver/anny
Download ➡️ tinyurl.com/anny-one
*⃣ 800K images
🚀Multi-view & multi-person
🏠Indoor 3D scenes
📷Wild cameras
🔥Anny format! github.com/naver/anny
Leonid Antsfeld, Boris Chidlovskii, Yohann Cabon, @vincentleroy.bsky.social Jerome Revaud
tl;dr: sliding MUSt3R for cheap long seq
The most interesting is alignment: point-based+camera-based. KDTree local desc for loop closure
arxiv.org/abs/2602.04517
Leonid Antsfeld, Boris Chidlovskii, Yohann Cabon, @vincentleroy.bsky.social Jerome Revaud
tl;dr: sliding MUSt3R for cheap long seq
The most interesting is alignment: point-based+camera-based. KDTree local desc for loop closure
arxiv.org/abs/2602.04517
📅 Tuesday Jan 20th: 10am CET
More info & registration ➡️ tinyurl.com/y3m23j2x
📅 Tuesday Jan 20th: 10am CET
More info & registration ➡️ tinyurl.com/y3m23j2x
Zeren Jiang, Chuanxia Zheng, Iro Laina ... Andrea Vedaldi
arxiv.org/abs/2601.05251
Trending on www.scholar-inbox.com
Zeren Jiang, Chuanxia Zheng, Iro Laina ... Andrea Vedaldi
arxiv.org/abs/2601.05251
Trending on www.scholar-inbox.com
🥽 ➡️ tinyurl.com/bvxxcn5e
🥽 ➡️ tinyurl.com/bvxxcn5e
🚀Five new *St3R models (MASt3R-SfM, MUSt3R, PanSt3R, HAMSt3R, HOSt3R)
🤩Anny parametric 3D human model (Apache 2.0)
🤟Universal encoder for all-in-one vision FM
Watch the highlights 👇
More info ▶️ tinyurl.com/muvs5vnu
🚀Five new *St3R models (MASt3R-SfM, MUSt3R, PanSt3R, HAMSt3R, HOSt3R)
🤩Anny parametric 3D human model (Apache 2.0)
🤟Universal encoder for all-in-one vision FM
Watch the highlights 👇
More info ▶️ tinyurl.com/muvs5vnu
Our latest work shows that pretraining ViTs on procedural symbolic data (eg sequences of balanced parentheses) makes subsequent standard training (eg on ImageNet) more data efficient! How is this possible?! ⬇️🧵
Our latest work shows that pretraining ViTs on procedural symbolic data (eg sequences of balanced parentheses) makes subsequent standard training (eg on ImageNet) more data efficient! How is this possible?! ⬇️🧵
We've just put the CfP online ⬇️ & we're particularly excited to broaden the scope to all facets of adaptation of ML models.
Please check out these exciting additions!
We invite researchers to explore all facets of ML adaptation, from incorporating new capabilities during continuous training to efficiently removing outdated or harmful data.
📍 Bucharest, Romania, Sep 14–17, 2026
🔗 Call for Papers: lifelong-ml.cc/Conferences/...
We've just put the CfP online ⬇️ & we're particularly excited to broaden the scope to all facets of adaptation of ML models.
Please check out these exciting additions!
europe.naverlabs.com/updates/ai4r...
europe.naverlabs.com/updates/ai4r...
We'll present MuDDoS at BMVC: a method that boosts multimodal distillation for 3D semantic segmentation under domain shift.
📍 BMVC
🕚 Monday, Poster Session 1: Multimodal Learning (11:00–12:30)
📌 Hadfield Hall #859
Second AI4Robotics Workshop day was as memorable as the first one with Daniel Cremers and Eric Brachmann as morning speakers - @dcremers.bsky.social @ericbrachmann.bsky.social
Second AI4Robotics Workshop day was as memorable as the first one with Daniel Cremers and Eric Brachmann as morning speakers - @dcremers.bsky.social @ericbrachmann.bsky.social
Livestream starts 9am CET:🎥 tinyurl.com/bdtk2nzs
Today’s great lineup of speakers: @dcremers.bsky.social –
@ericbrachmann.bsky.social - Aniruddha Kembhavi - Adrien Gaidon - Nicolas Mansard & Justin Carpentier
Livestream starts 9am CET:🎥 tinyurl.com/bdtk2nzs
Today’s great lineup of speakers: @dcremers.bsky.social –
@ericbrachmann.bsky.social - Aniruddha Kembhavi - Adrien Gaidon - Nicolas Mansard & Justin Carpentier
@fguney.bsky.social
@fguney.bsky.social
@ajdavison.bsky.social @marcpollefeys.bsky.social
@ajdavison.bsky.social @marcpollefeys.bsky.social
@martinhumenberger.bsky.social
@martinhumenberger.bsky.social
europe.naverlabs.com/updates/ai4r...
europe.naverlabs.com/updates/ai4r...