[HTML][HTML] Deep learning-driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy

S Umirzakova, S Ahmad, S Mardieva, S Muksimova… - Pattern Recognition, 2023 - Elsevier
Strong efforts have been undertaken to enhance the diagnosis and identification of diseases
that cause facial paralysis, such as Bell's palsy and stroke, because of their detrimental …

A coarse-to-fine pattern parser for mitigating the issue of drastic imbalance in pixel distribution

Z Lin, X Jiang, Z Zheng - Pattern Recognition, 2024 - Elsevier
The significance of minute semantic components such as eyes and eyebrows tends to be
overshadowed by larger components like skin and background, leading to inadequate …

[HTML][HTML] Facial age estimation using tensor based subspace learning and deep random forests

O Guehairia, F Dornaika, A Ouamane… - Information Sciences, 2022 - Elsevier
Recently, the estimation of facial age has attracted much attention. This letter extends and
improves a recently developed method (Guehairia et al., 2020) for fusing multiple deep …

[HTML][HTML] Comparison of deep learning classification models for facial image age estimation in digital forensic investigations

M Roopak, S Khan, S Parkinson, R Armitage - … Science International: Digital …, 2023 - Elsevier
There has been a significant rise in digital forensic investigations containing Indecent
Images of Children (IIoC), and one of the major challenges faced by investigators is the time …

Toward robust facial action units' detection

J Yang, Y Hristov, J Shen, Y Lin… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Facial action unit (AU) detection plays an important role in performing facial behavioral
analysis of raw video inputs. Overall, there are three key factors that contribute toward the …

Mixture of deep networks for facial age estimation

Q Zhao, J Liu, W Wei - Information Sciences, 2024 - Elsevier
In this paper, our objective is to simultaneously explore the learning of ordinal relationships
among age labels and address the challenge of heterogeneous data resulting from the non …

You only learn one query: learning unified human query for single-stage multi-person multi-task human-centric perception

S Jin, S Li, T Li, W Liu, C Qian, P Luo - European Conference on Computer …, 2025 - Springer
Human-centric perception (eg. detection, segmentation, pose estimation, and attribute
analysis) is a long-standing problem for computer vision. This paper introduces a unified …

A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark

J Paplhám, V Franc - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Comparing different age estimation methods poses a challenge due to the unreliability of
published results stemming from inconsistencies in the benchmarking process. Previous …

Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study

C Turner, LM Pardo, DA Gunn, R Zillmer… - Journal of the …, 2024 - Wiley Online Library
Background Perceived age (PA) has been associated with mortality, genetic variants linked
to ageing and several age‐related morbidities. However, estimating PA in large datasets is …

Reducing vulnerable internal feature correlations to enhance efficient topological structure parsing

Z Lin, Z Zheng, J Jia, W Gao - Expert Systems with Applications, 2024 - Elsevier
Most cropping-and-segmenting pattern parsers typically establish a single metric/scheme to
reason diverse inner correlations, resulting in over-general and redundant representations …