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20242026
most citedTowards Generative Location Awareness for Disaster Response: A Probabilistic Cross-view Geolocalization Approach

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cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

synth-dacl: Does Synthetic Defect Data Enhance Segmentation Accuracy and Robustness for Real-World Bridge Inspections?

Johannes Flotzinger, Fabian Deuser, Achref Jaziri +4

Adequate bridge inspection is increasingly challenging in many countries due to growing ailing stocks, compounded with a lack of staff and financial resources. Automating the key t…

cs.CV2025

Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning

Fabian Deuser, Philipp Hausenblas, Hannah Schieber +3

Contrastive learning is a representational learning paradigm in which a neural network maps data elements to feature vectors. It improves the feature space by forming lots with an…