Kadir Yılmaz (@kadiryilmaz_cv) 's Twitter Profile
Kadir Yılmaz

@kadiryilmaz_cv

PhD student in Computer Vision @ RWTH Aachen

ID: 1545049941868888067

calendar_today07-07-2022 14:20:09

8 Tweet

38 Followers

111 Following

Jonas Schult (@jonasschultcv) 's Twitter Profile Photo

🚀 Check out our new work ControlRoom3D. ControlRoom3D creates diverse and plausible 3D room meshes aligning well with user-defined room layouts and textual descriptions of the room style. 🌐 Project Page: jonasschult.github.io/ControlRoom3D/ 📄 ArXiv: arxiv.org/abs/2312.05208 🧵 (1/8)

Idil Esen Zulfikar (@idilzulfikar) 's Twitter Profile Photo

Happy to share that #PointVOS has been accepted to #CVPR2024 🎉 It was a great collaboration with Sabarinath Mahadevan, Paul Voigtlaender, Bastian Leibe🥳 I will be in Seattle next week to present our poster😊 📜Paper: arxiv.org/pdf/2402.05917 🌐 Website: pointvos.github.io

AK (@_akhaliq) 's Twitter Profile Photo

Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think discuss: huggingface.co/papers/2409.11… Recent work showed that large diffusion models can be reused as highly precise monocular depth estimators by casting depth estimation as an image-conditional image

Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

discuss: huggingface.co/papers/2409.11…

Recent work showed that large diffusion models can be reused as highly precise monocular depth estimators by casting depth estimation as an image-conditional image
Karim Abou Zeid (@kacodes) 's Twitter Profile Photo

Check out our work on fine-tuning of image-conditional diffusion models for depth and normal estimation. Widely used diffusion models can be improved with single-step inference and task-specific fine-tuning, allowing us to gain better accuracy while being 200x faster!⚡ 🧵(1/6)

Check out our work on fine-tuning of image-conditional diffusion models for depth and normal estimation.

Widely used diffusion models can be improved with single-step inference and task-specific fine-tuning, allowing us to gain better accuracy while being 200x faster!⚡

🧵(1/6)
SASHIMI Workshop @ MICCAI 2025 (@sashimiworkshop) 's Twitter Profile Photo

Congratulations to the winner of the Best Reproducibility award: Rüveyda Yilmaz! Excellent work getting a great open repo with clear instructions! #MICCAI2024

Congratulations to the winner of the Best Reproducibility award: Rüveyda Yilmaz! Excellent work getting a great open repo with clear instructions! #MICCAI2024
Idil Esen Zulfikar (@idilzulfikar) 's Twitter Profile Photo

🚀Check our recent work #Interactive4D to achieve interactive #LiDAR segmentation of multiple objects on multiple scans simultaneously. Work with Ilya Fradlin, Kadir Yılmaz, TheodoraKontogianni, and Bastian Leibe. 🌐Project: ilya-fradlin.github.io/Interactive4D/ 📜Paper: arxiv.org/pdf/2410.08206👇🧵

Idil Esen Zulfikar (@idilzulfikar) 's Twitter Profile Photo

Happening now at #CVPR2025 🎉If you wonder #Interactive4D Lidar segmentation, visit our poster at Hall D with the poster number 134 👩🏼‍💻🤖 🌎Project Page: ilya-fradlin.github.io/Interactive4D/ Ilya Fradlin Idil Esen Zulfikar Kadir Yılmaz TheodoraKontogianni Bastian Leibe

Happening now at #CVPR2025 🎉If you wonder #Interactive4D Lidar segmentation, visit our poster at Hall D with the poster number 134 👩🏼‍💻🤖

🌎Project Page: ilya-fradlin.github.io/Interactive4D/

<a href="/iFradlin/">Ilya Fradlin</a> <a href="/idilzulfikar/">Idil Esen Zulfikar</a> <a href="/KadirYilmaz_CV/">Kadir Yılmaz</a> <a href="/DoraKontog/">TheodoraKontogianni</a> <a href="/BastianLeibe/">Bastian Leibe</a>