217 citations · 875 across the 53 of their papers we have counts for
59 papers · 1 filter
VEELA: A Clinically-Constrained Benchmark for Liver Vessel Segmentation in Computed Tomography Angiography
Ziya Ata Yazıcı, N. Sinem Gezer, İlkay Öksüz +19
Accurate segmentation of hepatic and portal vessels in contrast-enhanced computed tomography angiography (CTA) remains challenging due to complex vascular topology, peripheral visi…
Employing Vision-Language Models for Face Image Quality Assessment
Erdi Sarıtaş, Eren Onaran, Vitomir Štruc +1
Face Image Quality Assessment (FIQA) is a crucial control step in biometric pipelines. It ensures only reliable samples are processed to maintain system accuracy. State-of-the-art…
On Applicability of Synthetic Datasets for Facial Expression Recognition
Ali Azmoudeh, Erdi Sarıtaş, Ömer Yıldırım +1
Facial Expression Recognition faces two core challenges. The first is class imbalance in public datasets, which skews the learning process and weakens generalization. The second is…
Yolo-Key-6D: Single Stage Monocular 6D Pose Estimation with Keypoint Enhancements
Kemal Alperen Çetiner, Hazım Kemal Ekenel
Estimating the 6D pose of objects from a single RGB image is a critical task for robotics and extended reality applications. However, state-of-the-art multi stage methods often suf…
Improved MambdaBDA Framework for Robust Building Damage Assessment Across Disaster Domains
Alp Eren Gençoğlu, Hazım Kemal Ekenel
Reliable post-disaster building damage assessment (BDA) from satellite imagery is hindered by severe class imbalance, background clutter, and domain shift across disaster types and…
Assessing Identity Leakage in Talking Face Generation: Metrics and Evaluation Framework
Dogucan Yaman, Fevziye Irem Eyiokur, Hazım Kemal Ekenel +1
Video editing-based talking face generation aims to preserve video details such as pose, lighting, and gestures while modifying only lip motion, often using an identity reference i…
A Multimodal Depth-Aware Method For Embodied Reference Understanding
Fevziye Irem Eyiokur, Dogucan Yaman, Hazım Kemal Ekenel +1
Embodied Reference Understanding requires identifying a target object in a visual scene based on both language instructions and pointing cues. While prior works have shown progress…
Mask-Free Audio-driven Talking Face Generation for Enhanced Visual Quality and Identity Preservation
Dogucan Yaman, Fevziye Irem Eyiokur, Leonard Bärmann +2
Audio-Driven Talking Face Generation aims at generating realistic videos of talking faces, focusing on accurate audio-lip synchronization without deteriorating any identity-related…
CAPE: A CLIP-Aware Pointing Ensemble of Complementary Heatmap Cues for Embodied Reference Understanding
Fevziye Irem Eyiokur, Dogucan Yaman, Hazım Kemal Ekenel +1
We address Embodied Reference Understanding, the task of predicting the object a person in the scene refers to through pointing gesture and language. This requires multimodal reaso…
Facial Attribute Based Text Guided Face Anonymization
Mustafa İzzet Muştu, Hazım Kemal Ekenel
The increasing prevalence of computer vision applications necessitates handling vast amounts of visual data, often containing personal information. While this technology offers sig…
Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos
Mustafa İzzet Muştu, Hazım Kemal Ekenel
The increasing demand for large-scale visual data, coupled with strict privacy regulations, has driven research into anonymization methods that hide personal identities without ser…
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
Luca Ciampi, Ali Azmoudeh, Elif Ecem Akbaba +5
Visual object counting has recently shifted towards class-agnostic counting (CAC), which addresses the challenge of counting objects across arbitrary categories, a crucial capabili…
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,…
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…
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…
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…
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…
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…
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…
Audio-driven Talking Face Generation with Stabilized Synchronization Loss
Dogucan Yaman, Fevziye Irem Eyiokur, Leonard Bärmann +2
Talking face generation aims to create realistic videos with accurate lip synchronization and high visual quality, using given audio and reference video while preserving identity a…
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…