Iago Suárez (@iagosuarez0) 's Twitter Profile
Iago Suárez

@iagosuarez0

ML Engineer at @Qualcomm XR Labs. Collaborating with CVG group of @ETH Zürich and PCR Lab of @La_UPM
linkedin.com/in/iago-suarez

ID: 1406121525388922880

linkhttps://iago-suarez.com calendar_today19-06-2021 05:28:04

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Iago Suárez (@iagosuarez0) 's Twitter Profile Photo

🚀Curious about the future of image matching? Today at 10:30 we are presenting GlueStick a joint deep matcher for points and lines in #ICCV2025! Come by poster 021 in Foyer Sud and chat with Rémi Pautrar, me, Yifan Yu, Marc Pollefeys, and Viktor Larsson 😃

Iago Suárez (@iagosuarez0) 's Twitter Profile Photo

💣We are releasing the training code for GlueStick in a joint effort with our friends from LightGlue! With glue-factory you can train a matcher with any kind of feature, use different robust estimators, and evaluate in several benchmarks: ✅github.com/cvg/glue-facto…

MIL Madrid - Madrid Innovation Lab (@milmadrid_) 's Twitter Profile Photo

📢 ¡Vuelve #MadridMLMeetup! Un encuentro para compartir los avanzes en #MachineLearning. 🗓️ 25/10 ⌚ 18:30 h Con Iago Suárez, de Qualcomm XR Labs Europe; exploraremos la tecnología de #ImageMatching, fundamental en #VisiónArtificial! 👁️🚀 🚩Registro 👉 lnkd.in/dsuQs_pi

📢 ¡Vuelve #MadridMLMeetup! Un encuentro para compartir los avanzes en #MachineLearning.

🗓️ 25/10  ⌚ 18:30 h
Con Iago Suárez, de <a href="/Qualcomm/">Qualcomm</a> XR Labs Europe; exploraremos la tecnología de #ImageMatching, fundamental en #VisiónArtificial! 👁️🚀

🚩Registro 👉 lnkd.in/dsuQs_pi
AI Bites | YouTube Channel (@ai_bites) 's Twitter Profile Photo

Segment3D explores the use of 2D foundation models to automatically generate training labels for 3D segmentation. It predicts accurate segmentation masks, improves over fully-supervised 3D segmentation methods e.g., Mask3D, and requires no manually labeled 3D training data.

Segment3D explores the use of 2D foundation models to automatically generate training labels for 3D segmentation. It predicts accurate segmentation masks, improves over fully-supervised 3D segmentation methods e.g., Mask3D, and requires no manually labeled 3D training data.
Visión Artificial (@visionartif) 's Twitter Profile Photo

Mañana miércoles 31 de enero Iago Suárez participa en los seminarios del Visión Artificial con la conferencia "Image matching" en el salón de grados del Departamental 2 del campus de Móstoles de la URJC (18:00). Más información en mastervisionartificial.es/event/image-ma…

Viktor Larsson (@visionviktor) 's Twitter Profile Photo

Interested in computer vision/ML/math/geometry? Open PhD positions available in my group, more details at vlarsson.github.io/positions/

Raquel Urtasun (@raquelurtasun) 's Twitter Profile Photo

On #InternationalWomensDay, I am feeling immense pride in the culture we've built at Waabi . Here's to all the incredible women of Waabi and the world who inspire me daily.

Iago Suárez (@iagosuarez0) 's Twitter Profile Photo

I just find this paper extremely cool! 😎 Actually, there's a very interesting overlap between this and GlueStick, because if both techniques were combined, it would be very easy to get low-poly meshes of the objects in the scene 🤔

Dmytro Mishkin 🇺🇦 (@ducha_aiki) 's Twitter Profile Photo

LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching Aidyn Ubingazhibov, Rémi Pautrat, Iago Suárez, Shaohui Liu , Marc Pollefeys Viktor Larsson tl;dr: Better and faster gluestick with line attention. arxiv.org/abs/2510.16438

LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching

Aidyn Ubingazhibov, Rémi Pautrat, Iago Suárez, <a href="/B1ueber2y/">Shaohui Liu</a> , <a href="/mapo1/">Marc Pollefeys</a>  <a href="/visionviktor/">Viktor Larsson</a> 

tl;dr: Better and faster gluestick with line attention.
arxiv.org/abs/2510.16438
Zhenjun Zhao (@zhenjun_zhao) 's Twitter Profile Photo

LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching Aidyn Ubingazhibov, Rémi Pautrat, Iago Suárez, Shaohui Liu, Marc Pollefeys, Viktor Larsson tl;dr: LightGlue+GlueStick+line message arxiv.org/abs/2510.16438

LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching

Aidyn Ubingazhibov, Rémi Pautrat, <a href="/IagoSuarez0/">Iago Suárez</a>, <a href="/B1ueber2y/">Shaohui Liu</a>, <a href="/mapo1/">Marc Pollefeys</a>, <a href="/visionviktor/">Viktor Larsson</a>

tl;dr: LightGlue+GlueStick+line message

arxiv.org/abs/2510.16438