Dr. André Kelm
Photo: André Kelm
former Postdoctoral Researcher
Computer Vision
Address
University of Hamburg
Faculty of Mathematics, Informatics and Natural Sciences
Department of Informatics
CV Research Group
Research Interests (also for Master's and Bachelor's theses)
- Deep learning (DL) for industrial innovation [IGD], with cross-disciplinary interests in physics, audio, medical and biological applications
- Domain adaptation and use of synthetic data for real-world
- Efficient, adaptive inference, as well as interpretability for DL [paper]
- Bottom-up and top-down attention [arxiv]
- High-quality segmentation and object shape extraction using Walk the Lines [WtL-arxiv], [video]
- Edge and object contour detection [RCN-arxiv]
Publications
2025
- Emre Gülsoylu, André Peter Kelm, Lennart Bengtson, Matthias Hirsch, Christian Wilms, Tim Rolff, Janick Edinger, Simone Frintrop: TRUDI and TITUS: A Multi-Perspective Dataset and A Three-Stage Recognition System for Transportation Unit Identification, The 36th British Machine Vision Conference (BMVC), 2025, [PDF], [poster], [arXiv]
- André Peter Kelm, Max Braeschke, Emre Gülsoylu, Simone Frintrop: Walk the Lines 2: Contour Tracking for Detailed Segmentation of Infrared Ships and Other Objects, in Castrillón-Santana, M., et al. Computer Analysis of Images and Patterns. CAIP 2025. Lecture Notes in Computer Science, vol 15621, Springer, Cham, [doi], [arxiv]
- Justus Middendorf, André Kelm, Simone Frintrop: AutoWindLoc: Precise Localization of Wind Turbines in High-Resolution Orthophotos for Enhanced Registers, 44th EARSeL Symposium [Online], 2025, Prague. [PDF]
- Emre Gülsoylu, André Kelm, Lennart Bengtson, Christian Wilms, Janick Edinger, Simone Frintrop: An Inland Port Monitoring System using Aerial and Ground Imagery, 1st German Robotics Conference (GRC), 2025, [PDF], [audio], [poster]
2024
- Jana Teegen, André Peter Kelm, Ole Grasse, Maris Hillemann, Emre Gülsoylu, Simone Frintrop: Drone-based Identification of Containers and Semi-Trailers in Inland Ports, 12th International Conference on Logistics and Maritime Systems (LOGMS), 2024. [PDF]
- André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: Dynamic Inference and Top-down Attention in a Hierarchical Classification Network, 27th International Conference on Pattern Recognition (ICPR 2024), Kolkata, India, 2024. [PDF], [arxiv]
- André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: Select High-Level Features: Efficient Experts
from a Hierarchical Classification Network, 5th Workshop on practical ML for limited/low resource settings (PML4LRS) at ICLR 2024,[arxiv], [PDF] - Emre Gülsoylu, Paul Koch, Mert Yildiz, Manfred Constapel, André Peter Kelm: Image and AIS Data Fusion Technique for Maritime Computer Vision Applications, 2nd Workshop on Maritime Computer Vision at Winter Conference on Applications of Computer Vision (WACV), 2024, [PDF], [arxiv], [video]
2023
- Ehsan Yaghoubi, André Kelm, Timo Gerkmann, Simone Frintrop: Acoustic and Visual Knowledge Distillation for Contrastive Audio-Visual Localization, International Conference on Multimodal Interaction, ICMI 2023, [PDF]
- André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop: High-Level Parallelism and Nested Features for Dynamic Inference Cost and Top-Down Attention, arXiv:2308.05128, 2023, [arXiv], [PDF]