Alexey Artemov

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: skoltech3d.appliedai.tech Video: youtu.be/KPwghPyZWDE

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!

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

📢 Research Internship @Apple Zurich  Looking for interns with strong Computer Vision / ML skills to work on Human Modeling, Reconstruction, and Generation. Our work has enabled features like Persona on Vision Pro, Portrait Mode, FaceTime Eye Contact, Animoji & ARKit. 👇

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  jobs.apple.com/en-us/details/…

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

DeepMIF project page: artonson.github.io/publications/2… AutoInst project page: artonson.github.io/publications/2…

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!

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

Je vais à Montréal! This June I'm starting a new position as an assistant professor at @UMontreal and as a core academic member of @Mila_Quebec. Drop me a line if you're interested in working together on problems in AI4Science, Optimal Transport, and Generative Modeling.

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: portal.mytum.de/jobs/sonstige/…

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.

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: artonson.github.io/publications/2… Vid: youtu.be/WC-pcaf94N4 Text: arxiv.org/pdf/2403.17550…

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

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

AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans A method for unsupervised instance segmentation of 3D outdoor LiDAR scenes. Project: artonson.github.io/publications/2… Vid: youtube.com/watch?v=ioKJWY… Paper : arxiv.org/pdf/2403.16318…

Hit two milestones today: * 1K overall cites of my work scholar.google.ru/citations?user… * 400 cites for ABC dataset deep-geometry.github.io/abc-dataset/ Very thankful to colleagues and encouraged to keep up the work.

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!

@ducha_aiki i believe this should work openaccess.thecvf.com/content/CVPR20… / github.com/Ylannl/GoCoPP really easy to run and works out of the box

Point cloud & Open3D people, I have a stupid question. How can I use Open3D to detect planes in a point cloud in a way, that it detects real plane segments and not just random set of sections on my data. Colors here are plane labels

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 🚀🚀 niessnerlab.org/publications.h…

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

Sharp Feature Priors for Resolution-Free Surface Remeshing Automatic feature detection and remeshing for arbitrary resolution mesh reconstructions. Project: artonson.github.io/publications/2… Vid: youtube.com/watch?v=tm2NqX…

(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 :) nihalsid.github.io/mesh-gpt/ youtu.be/UV90O1_69_o