MCML at PAKDD 2020

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to PAKDD 2020. Congrats to our researchers!

F. Borutta • D. Kazempour • F. Marty • P. Kröger • T. Seidl
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform.
PAKDD 2020 - 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Singapore, May 11-14, 2020. DOI

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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.

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Benjamin Busam Leads Design of Bavarian Earth Observation Satellite Network “CuBy”

Benjamin Busam leads the scientific design of the “CuBy” satellite network, delivering AI-ready Earth observation data for Bavaria.

©Florian Generotzky / LMU

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Cracks in the Foundations of Cosmology

Daniel Grün examines cosmological tensions that challenge the Standard Model and may point toward new physics.

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How Machines Can Discover Hidden Rules Without Supervision

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Matthias Nießner Co-Founds AI Startup Synthesia

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