1.3k citations
- OsloMet – Oslo Metropolitan UniversityNO14 papers
- Simula Research LaboratoryNO10 papers
- University of OsloNO9 papers
- UiT The Arctic University of NorwayNO6 papers
- Université de RennesFR4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Sahlgrenska University HospitalSE3 papers
- TU WienAT3 papers
- University of AmsterdamNL3 papers
- University of EdinburghGB3 papers
- University of OuluFI3 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
52 papers
ExposureEngine: Oriented Logo Detection and Sponsor Visibility Analytics in Sports Broadcasts
Mehdi Houshmand Sarkhoosh, Frøy Øye, Henrik Nestor Sørlie +5
Quantifying sponsor visibility in sports broadcasts is a critical marketing task traditionally hindered by manual, subjective, and unscalable analysis methods. While automated syst…
AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns
Chathura Wimalasiri, Piumal Rathnayake, Shamod Wijerathne +5
Periodontitis, a chronic inflammatory disease causing alveolar bone loss, significantly affects oral health and quality of life. Accurate assessment of bone loss severity and patte…
Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models
Sushant Gautam, Michael A. Riegler, Pål Halvorsen
We investigate fine-tuning Vision-Language Models (VLMs) for multi-task medical image understanding, focusing on detection, localization, and counting of findings in medical images…
BioCube: A Multimodal Dataset for Biodiversity Research
Stylianos Stasinos, Martino Mensio, Elena Lazovik +1
Biodiversity research requires complete and detailed information to study ecosystem dynamics at different scales. Employing data-driven methods like Machine Learning is getting tra…
dCMF: Learning interpretable evolving patterns from temporal multiway data
Christos Chatzis, Carla Schenker, Jérémy E. Cohen +1
Multiway datasets are commonly analyzed using unsupervised matrix and tensor factorization methods to reveal underlying patterns. Frequently, such datasets include timestamps and c…
Merging synthetic and real embryo data for advanced AI predictions
Oriana Presacan, Alexandru Dorobantiu, Vajira Thambawita +5
Accurate embryo morphology assessment is essential in assisted reproductive technology for selecting the most viable embryo. Artificial intelligence has the potential to enhance th…