Home  | News

11.10.2024

Tiny logo
Teaser image to MCML at IROS 2024

MCML at IROS 2024

Two Accepted Papers

IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabi, United Arab Emirates, Oct 14-18, 2024

We are happy to announce that MCML researchers have contributed a total of 2 papers to IROS 2024. Congrats to our researchers!

Main Track (2 papers)

L. Cheng • J. Hu • H. Yan • M. Gladkova • T. Huang • Y.-H. Liu • D. Cremers • H. Li
Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments.
IROS 2024 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Abu Dhabi, United Arab Emirates, Oct 14-18, 2024. DOI

A. Ranne • L. Kuang • Y. VelikovaN. Navab • F. Baena
CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers.
IROS 2024 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Abu Dhabi, United Arab Emirates, Oct 14-18, 2024. DOI

#research #top-tier-work #cremers #navab
Subscribe to RSS News feed

Related

Link to World’s First Complete 3D Model of All Buildings Released

04.12.2025

World’s First Complete 3D Model of All Buildings Released

Xiaoxiang Zhu’s team releases GlobalBuildingAtlas, a high-res 3D map of 2.75B buildings for advanced urban and climate analysis.

Link to When to Say "I’m Not Sure": Making Language Models More Self-Aware

04.12.2025

When to Say "I’m Not Sure": Making Language Models More Self-Aware

ICLR 2025 research by the groups of David Rügamer, and Bernd Bischl introduces methods to make LLMs more reliable by expressing uncertainty.

Link to

28.11.2025

MCML at NeurIPS 2025

MCML researchers are represented with 46 papers at NeurIPS 2025 (37 Main, and 9 Workshops).

Link to Seeing the Bigger Picture – One Detail at a Time

27.11.2025

Seeing the Bigger Picture – One Detail at a Time

FLAIR, introduced by Zeynep Akata’s group at CVPR 2025, brings fine-grained, text-guided detail recognition to vision-language models.

Link to Daniel Rückert Among the World’s Most Cited Researchers

25.11.2025

Daniel Rückert Among the World’s Most Cited Researchers

MCML Director Daniel Rückert is among the world’s most cited researchers for AI in healthcare, part of 17 TUM scientists recognized in 2025.

Back to Top