54 citations · 65 across the 7 of their papers we have counts for
7 papers
Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
Emre Ardıç, Yakup Genç
Federated learning is a machine learning paradigm in which multiple devices collaboratively train a model under the supervision of a central server while ensuring data privacy. How…
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy
Emre Ardıç, Yakup Genç
Federated learning (FL) is a distributed machine learning method where multiple devices collaboratively train a model under the management of a central server without sharing under…
Skeleton-aware multi-scale heatmap regression for 2D hand pose estimation
Ikram Kourbane, Yakup Genc
Existing RGB-based 2D hand pose estimation methods learn the joint locations from a single resolution, which is not suitable for different hand sizes. To tackle this problem, we pr…
A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks
Ikram Kourbane, Yakup Genc
Hand pose estimation is a crucial part of a wide range of augmented reality and human-computer interaction applications. Predicting the 3D hand pose from a single RGB image is chal…
Efficient texture-aware multi-GAN for image inpainting
Mohamed Abbas Hedjazi, Yakup Genc
Recent GAN-based (Generative adversarial networks) inpainting methods show remarkable improvements and generate plausible images using multi-stage networks or Contextual Attention…
RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle
Seyma Yucer, Furkan Tektas, Mesih Veysi Kilinc +4
Localization of a target object has been performed conventionally using multiple terrestrial reference nodes. This paradigm is recently shifted towards utilization of unmanned aeri…
Learning to Inpaint by Progressively Growing the Mask Regions
Mohamed Abbas Hedjazi, Yakup Genc
Image inpainting is one of the most challenging tasks in computer vision. Recently, generative-based image inpainting methods have been shown to produce visually plausible images.…