Alexey Artemov

3D Computer Vision and Machine Learning at Apple . Ex-TUM, ex-Skoltech, ex-Yandex.

Notes on 3D Computer Vision, Statistics, Learning, and Software

[Alexey Artemov @artonson]

Excited to share the release of Sk3D: a new multi-sensor dataset for multi-view 3D surface reconstruction.

Sk3D provides registered RGB **and depth** for 7 sensors of varying resolutions and modalities.

#CVPR2023
Project: https://t.co/GRsPnWqjX9
Video: https://t.co/4CxRzlAJm7

[Alexey Artemov @artonson]

Happy to share our latest research on human face 👧🏾👨🏻‍🦳👳🏾‍♂️👶🏼 and, importantly, head 💂🏻‍♀️🧕🏾🧑‍🚀🧟tracking!

DenseMarks delivers dense features for use in multiple tasks - check it out!

[Artem Sevastopolsky @ASevastopolsky]

❌ Tracking by 68 sparse face landmarks?
✅ Tracking by dense, per-pixel head landmarks

📣 DenseMarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks

https://t.co/GBKBUYHaSb

🧵

[Alexey Artemov @artonson]

@tweepul @MShahbazi_ The internships generally target last-year(s) PhD students. But who knows ;) You should apply through the Jobs webpage.

[Alexey Artemov @artonson]

Excited to share the opportunities for two internships at the Apple European Vision Group. Join us in expanding the boundaries of human-centric vision and generative AI technologies for millions of Apple users 

https://t.co/PiLsD0FzlX

[Alexey Artemov @artonson]

Started a new job this week as a 3D Computer Vision and Machine Learning Research Engineer at Apple . Exciting times ahead ;-)

[Alexey Artemov @artonson]

DeepMIF project page: https://t.co/m8DJanWH2T
AutoInst project page: https://t.co/fqtf5V5Mt2

[Alexey Artemov @artonson]

Happy to announce that two our papers
"DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping" and "AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans"
have been accepted to IROS 2024 Abu Dhabi! Congratulations to the team!

[Alexey Artemov @artonson]

@k_neklyudov @UMontreal @Mila_Quebec Awesome! I am interested ;)

[Matthias Niessner @MattNiessner]

We're looking to fill the secretary position in our lab in Garching at @TU_Muenchen!

Wir suchen für unser Team ab sofort in Voll- oder Teilzeit eine Besetzung der Stelle Lehrstuhlsekretärin / Lehrstuhlsekretär (m/w/d) !!!

Details / Applications Process:
https://t.co/dAuZG9diHo

[Alexey Artemov @artonson]

We achieve higher completion rate and perceptually appealing results by fitting a non-metric monotonic implicit field to LiDAR 3D point clouds, enforcing monotonous constraints over samples along LiDAR rays.

Joint work with Kutay Yilmaz, Anastasiia Kornilova, Matthias Nießner.

[Alexey Artemov @artonson]

DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping

A method for large-scale 3D scene reconstruction from sparse 3D LiDAR scans.

Project: https://t.co/Mh1zj0P9KF
Vid: https://t.co/OGITkxikxi
Text: https://t.co/N6EzCrBvFA

[Yawar Siddiqui @yawarnihal]

MeshGPT has been selected as a highlight at #CVPR2024 #Seattle! Let's goo 🚀 (or not depending on the visa situation 🥲)

[Alexey Artemov @artonson]

We leverage multi-modal self-supervised features and perform graph-cuts to generate instance proposals. These initial proposals are further refined with a self-training algorithm.

Joint w/ @CedricPerauer, Laurenz Heidrich, Haifan Zhang, @MattNiessner , and Anastasiia Kornilova

[Alexey Artemov @artonson]

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans

A method for unsupervised instance segmentation of 3D outdoor LiDAR scenes.

Project: https://t.co/m8DJanWH2T
Vid: https://t.co/Z9OyZbskdJ
Paper : https://t.co/rrmvQdjmWV

[Alexey Artemov @artonson]

Hit two milestones today:
* 1K overall cites of my work https://t.co/BGvohtJt6b
* 400 cites for ABC dataset https://t.co/zQaI0RMi7S

Very thankful to colleagues and encouraged to keep up the work.

[Angela Dai @angelaqdai]

Check out our #CVPR'24 papers on 3D human interactions, generative 3D modeling, and uncertainty-aware and unsupervised 3D semantic scene understanding!

Congrats to @craigleili @david_roz_ @chrdiller @yawarnihal @shivangi2201 @jiapeng_tang @AnhQuanCAO for their amazing work!

[Alexey Artemov @artonson]

@ducha_aiki i believe this should work https://t.co/1ohT6zKi5r / https://t.co/XxmdBnW9vC really easy to run and works out of the box

[Matthias Niessner @MattNiessner]

Our group has fourteen papers accepted at #CVPR'2024!

Exciting topics: lots of diffusion & transformers focusing on generative AI for image synthesis, geometry generation, and many more - check it out!

I'm so proud of everyone involved - let's go 🚀🚀

https://t.co/rEHOJusF4g

[Alexey Artemov @artonson]

Our priors encode feature-aware fields on surface meshes, enabling to localize and recover sharp geometric feature curves for automatic mesh optimization.

Joint work with Natalia Soboleva, Olga Gorbunova, @IvanovaMPe @burnaevevgeny @MattNiessner and Denis Zorin

[Alexey Artemov @artonson]

Sharp Feature Priors for Resolution-Free Surface Remeshing

Automatic feature detection and remeshing for arbitrary resolution mesh reconstructions.

Project: https://t.co/VbIBmYEi72
Vid: https://t.co/7qUvUD5i48

[Matthias Niessner @MattNiessner]

(1/2)
Check out 𝐌𝐞𝐬𝐡𝐆𝐏𝐓!

MeshGPT generates triangle meshes by autoregressively sampling from a transformer model that produces tokens from a learned geometric vocabulary.

As a result, we obtain clean and compact meshes :)

https://t.co/ynrf0qjYVF
https://t.co/rQe7ipP15t