Home  | News

28.10.2022

Tiny logo
Teaser image to MCML at ACM SIGSPATIAL 2022

MCML at ACM SIGSPATIAL 2022

Two Accepted Papers (1 Main, and 1 Workshop)

30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, Nov 01-04, 2022

We are happy to announce that MCML researchers have contributed a total of 2 papers to ACM SIGSPATIAL 2022: 1 Main, and 1 Workshop papers. Congrats to our researchers!

Main Track (1 paper)

M. BernhardM. Schubert
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations.
ACM SIGSPATIAL 2022 - 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Seattle, WA, USA, Nov 01-04, 2022. DOI GitHub

Workshops (1 paper)

A. Lohrer • J. J. Binder • P. Kröger
Group Anomaly Detection for Spatio-Temporal Collective Behaviour Scenarios in Smart Cities.
IWCTS @ACM SIGSPATIAL 2022 - 15th International Workshop on Computational Transportation Science at the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Seattle, WA, USA, Nov 01-04, 2022. DOI

#research #top-tier-work #schubert #seidl
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