activity
20172026
most citedStrengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations

217 citations · 235 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

cs.CV2022

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.,…