17 citations · 24 across the 6 of their papers we have counts for
6 papers
Parameter-Efficient Vision-Language Adaptation with Continuous Metadata Conditioning for Animal Re-Identification
Anil Osman Tur, Tonje Knutsen Sordalen, Kim Tallaksen Halvorsen +1
Long-term animal re-identification (ReID) must remain robust to gradual morphological evolution and seasonal appearance shifts. Although recent vision-language models provide stron…
MAMBO: High-Resolution Generative Approach for Mammography Images
Milica Škipina, Nikola Jovišić, Nicola Dall'Asen +5
Mammography is the gold standard for the detection and diagnosis of breast cancer. This procedure can be significantly enhanced with Artificial Intelligence (AI)-based software, wh…
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models
Anil Osman Tur, Alessandro Conti, Cigdem Beyan +5
In smart retail applications, the large number of products and their frequent turnover necessitate reliable zero-shot object classification methods. The zero-shot assumption is ess…
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan +1
This paper aims to address the unsupervised video anomaly detection (VAD) problem, which involves classifying each frame in a video as normal or abnormal, without any access to lab…
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan +1
This paper investigates the performance of diffusion models for video anomaly detection (VAD) within the most challenging but also the most operational scenario in which the data a…
Evaluation Of Hidden Markov Models Using Deep CNN Features In Isolated Sign Recognition
Anil Osman Tur, Hacer Yalim Keles
Isolated sign recognition from video streams is a challenging problem due to the multi-modal nature of the signs, where both local and global hand features and face gestures needs…