no code implementations • 23 Nov 2022 • Ibrahima Ndiour, Nilesh Ahuja, Utku Genc, Omesh Tickoo
This paper presents a fast and principled approach for solving the visual anomaly detection and segmentation problem.
1 code implementation • 16 Feb 2022 • Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh Ahuja, Utku Genc
This paper introduces anomalib, a novel library for unsupervised anomaly detection and localization.
no code implementations • 16 Jan 2019 • Nese Alyuz, Eda Okur, Utku Genc, Sinem Aslan, Cagri Tanriover, Asli Arslan Esme
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-Performance, and Mouse.
no code implementations • 15 Jan 2019 • Eda Okur, Nese Alyuz, Sinem Aslan, Utku Genc, Cagri Tanriover, Asli Arslan Esme
To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study.