1 citations · 2 across the 4 of their papers we have counts for
5 papers
FRE: A Fast Method For Anomaly Detection And Segmentation
Ibrahima Ndiour, Nilesh Ahuja, Utku Genc +1
This paper presents a fast and principled approach for solving the visual anomaly detection and segmentation problem. In this setup, we have access to only anomaly-free training da…
Anomalib: A Deep Learning Library for Anomaly Detection
Samet Akcay, Dick Ameln, Ashwin Vaidya +3
This paper introduces anomalib, a novel library for unsupervised anomaly detection and localization. With reproducibility and modularity in mind, this open-source library provides…
Energy-Based Anomaly Detection and Localization
Ergin Utku Genc, Nilesh Ahuja, Ibrahima J Ndiour +1
This brief sketches initial progress towards a unified energy-based solution for the semi-supervised visual anomaly detection and localization problem. In this setup, we have acces…
Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students
Nese Alyuz, Eda Okur, Utku Genc +3
We propose a multimodal approach for detection of students' behavioral engagement states (i.e., On-Task vs. Off-Task), based on three unobtrusive modalities: Appearance, Context-Pe…
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data
Eda Okur, Nese Alyuz, Sinem Aslan +3
To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study. In Phase 1, contextual logs (URLs) are utiliz…