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. KuangY. 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 #busam #cremers #navab

Related

Tiny logo
Link to MCML at ICDAR 2026

28.08.2026

MCML at ICDAR 2026

MCML researchers are represented with 1 paper at ICDAR 2026.

Read more
Link to Transparency for global health aid

26.08.2026

Transparency for Global Health Aid

MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.

Read more
Link to David Rügamer: We Need Uncertainty Quantification

25.08.2026

David Rügamer: We Need Uncertainty Quantification

MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.

Read more
Link to Using Data Science to Personalize Depression Care

24.08.2026

Using Data Science to Personalize Depression Care

Five young researchers explore how data science can contribute to better healthcare as part of DSSGx Munich 2026, supported by MCML.

Read more
Link to Matthias Nießner Featured in Augsburger Allgemeine on Europe's AI Hub

17.08.2026

Matthias Nießner Featured in Augsburger Allgemeine on Europe's AI Hub

MCML PI Matthias Nießner is featured in Augsburger Allgemeine's coverage of London's rise as a leading European AI hub.

Read more
Back to Top