28 citations · 52 across the 9 of their papers we have counts for
9 papers
1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job?
Robin-Nico Kampa, Fabian Deuser, Anna Bößendörfer +2
Autonomous AI coding agents are becoming a core tool for ML practitioners in industry and research alike. Despite this growing adoption, no standardized benchmark exists to evaluat…
ViewSparsifier: Killing Redundancy in Multi-View Plant Phenotyping
Robin-Nico Kampa, Fabian Deuser, Konrad Habel +1
Plant phenotyping involves analyzing observable characteristics of plants to better understand their growth, health, and development. In the context of deep learning, this analysis…
SoccerNet 2025 Challenges Results
Silvio Giancola, Anthony Cioppa, Marc Gutiérrez-Pérez +115
The SoccerNet 2025 Challenges mark the fifth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in football video understandi…
SoccerNet 2024 Challenges Results
Anthony Cioppa, Silvio Giancola, Vladimir Somers +81
The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple t…
SoccerNet 2023 Challenges Results
Anthony Cioppa, Silvio Giancola, Vladimir Somers +99
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…
Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation
Fabian Deuser, Konrad Habel, Martin Werner +1
Retrieving relevant multimedia content is one of the main problems in a world that is increasingly data-driven. With the proliferation of drones, high quality aerial footage is now…
CLIP-ReIdent: Contrastive Training for Player Re-Identification
Konrad Habel, Fabian Deuser, Norbert Oswald
Sports analytics benefits from recent advances in machine learning providing a competitive advantage for teams or individuals. One important task in this context is the performance…
Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
Fabian Deuser, Konrad Habel, Norbert Oswald
Cross-View Geo-Localisation is still a challenging task where additional modules, specific pre-processing or zooming strategies are necessary to determine accurate positions of ima…
Less Is More: Linear Layers on CLIP Features as Powerful VizWiz Model
Fabian Deuser, Konrad Habel, Philipp J. Rösch +1
Current architectures for multi-modality tasks such as visual question answering suffer from their high complexity. As a result, these architectures are difficult to train and requ…