The 3rd is the charm: the PhD defense of Ivan Lopes at Inria!

Ivan is presenting his results on Materials, Geometry, and Semantics Estimation for scene understanding and editing.

Papers: Material Palette, Material Transform and MatSwap (Materials) & StableMTL and DenseMTL (Multi-task learning).

Another great event for @valeoai.bsky.social team: a PhD defense of Corentin Sautier.

His thesis «Learning Actionable LiDAR Representations w/o Annotations» covers the papers BEVContrast (learning self-sup LiDAR features), SLidR, ScaLR (distillation), UNIT and Alpine (solving tasks w/o labels).

So excited to attend the PhD defense of @bjoernmichele.bsky.social at @valeoai.bsky.social! He’s presenting his research results of the last 3 years in 3D domain adaptation: SALUDA (unsupervised DA), MuDDoS (multimodal UDA), TTYD (source-free UDA).

We just released the code of #LiDPM, go ahead and play with it (and don't forget to star 🤭🤩)!

Training and inference code available, along with the model checkpoint.

Github repo: github.com/astra-vision...

#IV2025

Some #IV2025 statistics:

1/3 of all submissions were uploaded on the last day 🙃

On one hand you might think “The conference destinations that are not exotic enough are not as cool”.

But let me just tell you: I feel like I’m at a wedding in Bukovyna rn, and I mean it in the best way possible! Such an amazing reception and beautiful Romanian folk music :) #iv2025

Presenting our project #LiDPM in the afternoon oral session at #IV2025!

Project page: astra-vision.github.io/LiDPM/

w/ @gillespuy.bsky.social, @alexandreboulch.bsky.social, Renaud Marlet, Raoul de Charette

Also, see our poster at 3pm in the Caravaggio room and AMA 😉

Feels like home 😊

Day 1 of #IV2025 in Cluj-Napoca - let’s go!

Today is the Workshops day.

#autonomousDriving #autonomousVehicles #computerVision #AI

Presenting LiDPM today at #CVPRinParis, such a great poster session, many new acquaintances and curious questions! #cvpr #cvpr2025

Next stop: #IV2025.

Our paper "LiDPM: Rethinking Point Diffusion for Lidar Scene Completion" got accepted to IEEE IV 2025!

tldr: LiDPM enables high-quality LiDAR completion by applying a vanilla DDPM with tailored initialization, avoiding local diffusion approximations.

Project page: astra-vision.github.io/LiDPM/

You realize that you became a slave of your research project when you can’t go to bed without launching some training on inference scripts - otherwise the GPUs will be shamelessly idle for the whole night.

Removed «Discover» feed for good now, currently keeping these four, but flagging «Mutuals» as potentially redundant for now.

What do your feeds look like?

testing this as a «bookmarks» hack now: a bit weird UX with the whole «reporting» vibe, but otherwise gets the job done 💪