3 code implementations • CVPR 2019 • Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications.
1 code implementation • 1 Mar 2022 • Leon Amadeus Varga, Sebastian Koch, Andreas Zell
We show that not all parameters have an equal impact on detection accuracy and data throughput, and that by using a suitable compromise between parameters we are able to achieve higher detection accuracy for lightweight object detection models, while keeping the same data throughput.
1 code implementation • 1 Dec 2022 • Sebastian Koch, Stefan Pasch
This paper introduces transformer-based language models to the literature measuring corporate culture from text documents.
Cultural Vocal Bursts Intensity Prediction text-classification +1
1 code implementation • 1 Jul 2023 • Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
Detecting objects and estimating their 6D poses is essential for automated systems to interact safely with the environment.
no code implementations • 27 Sep 2023 • Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
In the field of 3D scene understanding, 3D scene graphs have emerged as a new scene representation that combines geometric and semantic information about objects and their relationships.
no code implementations • 25 Oct 2023 • Sebastian Koch, Pedro Hermosilla, Narunas Vaskevicius, Mirco Colosi, Timo Ropinski
While it is widely accepted that pre-training is an effective approach to improve model performance in low data regimes, in this paper, we find that existing pre-training methods are ill-suited for 3D scene graphs.
no code implementations • 19 Feb 2024 • Sebastian Koch, Narunas Vaskevicius, Mirco Colosi, Pedro Hermosilla, Timo Ropinski
We co-embed the features from a 3D scene graph prediction backbone with the feature space of powerful open world 2D vision language foundation models.
no code implementations • 4 Apr 2024 • Yuchen Liu, Luigi Palmieri, Sebastian Koch, Ilche Georgievski, Marco Aiello
Recent advancements in Large Language Models (LLMs) have sparked a revolution across various research fields.