Home  | News

13.11.2024

Teaser image to Industry Pitch Talks Report

Industry Pitch Talks Report

Visit to Se3labs

With the company se3labs, we started our new event series „MCML Pitchtalks with Industry“ on November 13th. We had an insightful exchange of ideas on research that’s happening at the MCML. se3labs shared open questions in the field of computer vision and 3D reconstruction of complex environments, that se3 is currently working on. Our members Michael A. Hedderich, Yunpu Ma and Maximilian Bernhard shared their research on connecting questions - from Natural Language Processing, AI Agents, to Computer Vision.


#event #research
Subscribe to RSS News feed

Related

Link to Cosmology: Measuring the expansion of the Universe with cosmic fireworks

24.02.2026

Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks

Daniel Gruen leads LMU’s campaign on rare SN Winny to refine the Hubble constant and address the Hubble tension in cosmology.

Read more
Link to MCML Stammtisch - Recap

20.02.2026

MCML Stammtisch - Recap

The MCML-Stammtisch was a great opportunity to connect our members across disciplines and enjoy some relaxed conversations outside the labs

Read more
Link to COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

19.02.2026

COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious

Presented at CVPR 2025, COSMOS shows how smarter training helps VLMs learn from details and context, improving AI understanding without larger models.

Read more
Link to Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant

05.02.2026

Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant

Daniel Rueckert and Fabian Theis receive Google.org AI funding to develop multiscale AI models for biomedical disease simulation.

Read more
Link to Needle in a Haystack: Finding Exact Moments in Long Videos

05.02.2026

Needle in a Haystack: Finding Exact Moments in Long Videos

ECCV 2024 research introduces RGNet, an AI model that finds exact moments in long videos using unified retrieval and grounding.

Read more
Back to Top