1 citations · 1 across the 3 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 BöÃendörfer +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…
Towards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach
Hao Li, Fabian Deuser, Wenping Yin +5
As Earth's climate changes, it is impacting disasters and extreme weather events across the planet. Record-breaking heat waves, drenching rainfalls, extreme wildfires, and widespre…
ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking
Jiawei Ge, Xintian Zhang, Jiuxin Cao +9
Cross-view Referring Multi-Object Tracking (CRMOT) aims to track multiple objects specified by natural language across multiple camera views, with globally consistent identities. D…
Enhancing Contrastive Learning for Geolocalization by Discovering Hard Negatives on Semivariograms
Boyi Chen, Zhangyu Wang, Fabian Deuser +2
Accurate and robust image-based geo-localization at a global scale is challenging due to diverse environments, visually ambiguous scenes, and the lack of distinctive landmarks in m…
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…