Leon Sick

Student Researcher @ Google | PhD Student @ Ulm University 👨🏻‍💻👁 | Find me on 🦋

[Leon Sick @leons1ck]

Accepted at #ICCV2025! 🎉 Many thanks to my amazing co-authors @xeTaiz, @Kopetri, @Pedro_He_Ca & Timo. Looking forward to the conference in Hawaii!🌺

[Leon Sick @leons1ck]

🚨Super exited to share our new work CutS3D for unsupervised instance segmentation!
👀TLDR We connect semantics and 3D to cut instances and train a detector with spatial confidence.

🤗 Paper Page: https://t.co/d64oM1gaYj
🤗 Space: https://t.co/Ug7qacOBiZ
1/5

[Leon Sick @leons1ck]

Happing today! 📣
I'll be presenting our work "CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation" in the morning poster session at #ICCV2025, located at poster no. 136! 🌺 Come by and say aloha! 👋🏻

[Leon Sick @leons1ck]

@julien_c @metaai @paperswithcode @rbstojnic @rosstaylor90 One of the most useful features of @paperswithcode has always been that you could see the best performing models for different tasks and datasets at a glance with a nice line chart. Will this task/benchmark SOTA tracking feature be added to HF as well?

[Leon Sick @leons1ck]

@weijler_lisa Wow congrats Lisa!!

[Leon Sick @leons1ck]

@CSProfKGD Also meme sabbatical? 😭

[Leon Sick @leons1ck]

@CSProfKGD How are your posts always so spot on?! 😂

[Leon Sick @leons1ck]

Check out our latest #CVPR2025 work on masked scene modeling, which learns semantically relevant features by pre-training natively in 3D! 🚀

[Pedro Hermosilla @Pedro_He_Ca]

Are you tired of projecting 2D features into 3D for general problem solving? Try our self-supervised model, which generates semantic off-the-shelf features natively in 3D! #CVPR2025

Project: https://t.co/jI8ZcpuXqY
Arxiv: https://t.co/HyjkrCpjSO
Github: https://t.co/d1qh5GLsa8

[Pedro Hermosilla @Pedro_He_Ca]

Are you tired of projecting 2D features into 3D for general problem solving? Try our self-supervised model, which generates semantic off-the-shelf features natively in 3D! #CVPR2025

Project: https://t.co/jI8ZcpuXqY
Arxiv: https://t.co/HyjkrCpjSO
Github: https://t.co/d1qh5GLsa8

[Leon Sick @leons1ck]

This is joint work with @xeTaiz, @Kopetri, @Pedro_He_Ca and Timo Ropinski.

[Leon Sick @leons1ck]

🚨Super exited to share our new work CutS3D for unsupervised instance segmentation!
👀TLDR We connect semantics and 3D to cut instances and train a detector with spatial confidence.

🤗 Paper Page: https://t.co/d64oM1gaYj
🤗 Space: https://t.co/Ug7qacOBiZ
1/5

[Leon Sick @leons1ck]

For more details on our paper "CutS3D: Cutting Semantic in 3D for 2D Unsupervised Instance Segmentation", check out our project page: https://t.co/pfaPpLKxf8

[Leon Sick @leons1ck]

Thanks to everyone who stopped by! ☺️ I enjoyed every single conversation, you made 3 hours of constant talking much more enjoyable 😉

[Leon Sick @leons1ck]

Can't wait to present our research on depth-guided unsupervised segmentation at #CVPR2024 tomorrow! 🙌

Make sure to stop by our poster #336 tomorrow during the Wednesday AM poster session 👀

For more, check out our project page: https://t.co/MsqEgattDr

[Leon Sick @leons1ck]

@silvia_zuffi @ctocevents @CVPR My export file size was 4.9 MB. Hope it works for you in the end!

[Leon Sick @leons1ck]

@silvia_zuffi @ctocevents @CVPR I uploaded mine yesterday and it worked on the first try. I designed my poster in Keynote with the right aspect ratio, exported to PDF, and uploaded it as is. My slide dims were 5120x2560. Maybe inserting your poster into a slide with these dims and then exporting is an idea?

[Sebastian Hartwig @Kopetri]

We are happy to announce our survey and taxonomy on text to image synthesis evaluation!
There are interesting differences between SOTA metrics and their capabilities of measuring text-conditioned image quality.
Check it out at: https://t.co/I02WM3h4zn