217 citations · 875 across the 53 of their papers we have counts for
9 papers · 1 filter
Meet-in-the-middle: Multi-scale upsampling and matching for cross-resolution face recognition
Klemen Grm, Berk Kemal Özata, Vitomir Štruc +1
In this paper, we aim to address the large domain gap between high-resolution face images, e.g., from professional portrait photography, and low-quality surveillance images, e.g.,…
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
Fevziye Irem Eyiokur, Alperen Kantarcı, Mustafa Ekrem Erakın +8
The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals. Various prevention measures were introduced ar…
Bias-Aware Face Mask Detection Dataset
Alperen Kantarcı, Ferda Ofli, Muhammad Imran +1
In December 2019, a novel coronavirus (COVID-19) spread so quickly around the world that many countries had to set mandatory face mask rules in public areas to reduce the transmiss…
OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions
Pedro C. Neto, Fadi Boutros, Joao Ribeiro Pinto +12
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 a…
State of the Art of Audio- and Video-Based Solutions for AAL
Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius +36
The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) re…
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos
Alexander Waibel, Moritz Behr, Fevziye Irem Eyiokur +7
In this paper, we propose a neural end-to-end system for voice preserving, lip-synchronous translation of videos. The system is designed to combine multiple component models and pr…
VIDI: A Video Dataset of Incidents
Duygu Sesver, Alp Eren Gençoğlu, Çağrı Emre Yıldız +4
Automatic detection of natural disasters and incidents has become more important as a tool for fast response. There have been many studies to detect incidents using still images an…
Exposure Correction Model to Enhance Image Quality
Fevziye Irem Eyiokur, Dogucan Yaman, Hazım Kemal Ekenel +1
Exposure errors in an image cause a degradation in the contrast and low visibility in the content. In this paper, we address this problem and propose an end-to-end exposure correct…
A Mobile Food Recognition System for Dietary Assessment
Şeymanur Aktı, Marwa Qaraqe, Hazım Kemal Ekenel
Food recognition is an important task for a variety of applications, including managing health conditions and assisting visually impaired people. Several food recognition studies h…