Racial bias within face recognition: A survey
Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …
within computer vision where we readily find associated applications deployed globally. This …
Efar 2023: Efficient face recognition competition
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held
at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition …
at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition …
Explainable model-agnostic similarity and confidence in face verification
Recently, face recognition systems have demonstrated remarkable performances and thus
gained a vital role in our daily life. They already surpass human face verification …
gained a vital role in our daily life. They already surpass human face verification …
Oeinr-rfh: Outlier elimination based iterative neighbor representation for robust face hallucination
To make the face hallucination process robust to impulse noise, a new outlier elimination
based iterative neighbor representation (OEINR) algorithm is proposed in this work. The …
based iterative neighbor representation (OEINR) algorithm is proposed in this work. The …
Beyond shadows and light: Odyssey of face recognition for social good
Face recognition technology, though undeniably transformative in its technical evolution,
remains conspicuously underleveraged in humanitarian endeavors. This survey highlights …
remains conspicuously underleveraged in humanitarian endeavors. This survey highlights …
VisGIN: Visibility graph neural network on one-dimensional data for biometric authentication
The research community has extensively utilized biometrics, which is one of the most
prominent sources of knowledge for authentication schemes in the rapidly advancing field of …
prominent sources of knowledge for authentication schemes in the rapidly advancing field of …
Llrfaceformer: Lightweight face transformer for real-world low-resolution recognition
Y Song, C Wang, H Tang, S Han, M Li… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Recent deep learning-based face recognition (FR) methods have demonstrated remarkable
performance in high-resolution (HR) or down-sampled low-resolution (LR) tasks. However …
performance in high-resolution (HR) or down-sampled low-resolution (LR) tasks. However …
WISE: whole-scenario embryo identification using self-supervised learning encoder in IVF
M Liu, CI Lee, CR Tzeng, HH Lai, Y Huang… - Journal of Assisted …, 2024 - Springer
Purpose To study the effectiveness of whole-scenario embryo identification using a self-
supervised learning encoder (WISE) in in vitro fertilization (IVF) on time-lapse, cross-device …
supervised learning encoder (WISE) in in vitro fertilization (IVF) on time-lapse, cross-device …
Cross-resolution face recognition via identity-preserving network and knowledge distillation
Cross-resolution face recognition has become a challenging problem for modern deep face
recognition systems. It aims at matching a low-resolution probe image with high-resolution …
recognition systems. It aims at matching a low-resolution probe image with high-resolution …
Tackling face verification edge cases: In-depth analysis and human-machine fusion approach
Nowadays, face recognition systems surpass human performance on several datasets.
However, there are still edge cases that the machine can't correctly classify. This paper …
However, there are still edge cases that the machine can't correctly classify. This paper …