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20162026
most citedStrengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations

217 citations · 875 across the 53 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CV2024

Impact of Face Alignment on Face Image Quality

Eren Onaran, Erdi Sarıtaş, Hazım Kemal Ekenel

Face alignment is a crucial step in preparing face images for feature extraction in facial analysis tasks. For applications such as face recognition, facial expression recognition,…

cs.HC2024

50 questions on Active Assisted Living technologies. Global edition

Francisco Florez-Revuelta, Alin Ake-Kob, Pau Climent-Perez +23

This booklet on Active Assisted Living (AAL) technologies has been created as part of the GoodBrother COST Action, which has run from 2020 to 2024. COST Actions are European resear…

cs.CV2024

Impact of Surface Reflections in Maritime Obstacle Detection

Samed Yalçın, Hazım Kemal Ekenel

Maritime obstacle detection aims to detect possible obstacles for autonomous driving of unmanned surface vehicles. In the context of maritime obstacle detection, the water surface…

cs.CV2024

Analyzing the Feature Extractor Networks for Face Image Synthesis

Erdi Sarıtaş, Hazım Kemal Ekenel

Advancements like Generative Adversarial Networks have attracted the attention of researchers toward face image synthesis to generate ever more realistic images. Thereby, the need…

cs.CV2024

Analyzing the Effect of Combined Degradations on Face Recognition

Erdi Sarıtaş, Hazım Kemal Ekenel

A face recognition model is typically trained on large datasets of images that may be collected from controlled environments. This results in performance discrepancies when applied…

cs.CV2024

Audio-Visual Speech Representation Expert for Enhanced Talking Face Video Generation and Evaluation

Dogucan Yaman, Fevziye Irem Eyiokur, Leonard Bärmann +3

In the task of talking face generation, the objective is to generate a face video with lips synchronized to the corresponding audio while preserving visual details and identity inf…

cs.CV2024★ 18 cited

GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation

Ziya Ata Yazıcı, İlkay Öksüz, Hazım Kemal Ekenel

Convolutional Neural Networks (CNNs) have become widely adopted for medical image segmentation tasks, demonstrating promising performance. However, the inherent inductive biases in…

eess.IV2024★ 9 cited

Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation

Ziya Ata Yazıcı, İlkay Öksüz, Hazım Kemal Ekenel

Glioblastoma is a highly aggressive and malignant brain tumor type that requires early diagnosis and prompt intervention. Due to its heterogeneity in appearance, developing automat…

cs.CV2024

In-Bed Pose Estimation: A Review

Ziya Ata Yazıcı, Sara Colantonio, Hazım Kemal Ekenel

Human pose estimation, the process of identifying joint positions in a person's body from images or videos, represents a widely utilized technology across diverse fields, including…