43 citations · 64 across the 5 of their papers we have counts for
5 papers
EeveeDark: A Binary Neural Framework for Low-Light Video Enhancement via Event-Guided Sensor-Level Fusion
Onur Eker, Erkut Erdem, Aykut Erdem
Enhancing videos under extreme low-light conditions remains challenging due to the difficulty of balancing restoration quality and computational efficiency in resource-constrained…
HUE Dataset: High-Resolution Event and Frame Sequences for Low-Light Vision
Burak Ercan, Onur Eker, Aykut Erdem +1
Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collectio…
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks
Burak Ercan, Onur Eker, Canberk Saglam +2
Event-based cameras are becoming increasingly popular for their ability to capture high-speed motion with low latency and high dynamic range. However, generating videos from events…
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction
Burak Ercan, Onur Eker, Aykut Erdem +1
Event cameras are a new type of vision sensor that incorporates asynchronous and independent pixels, offering advantages over traditional frame-based cameras such as high dynamic r…
A Comparative Analysis of the Face Recognition Methods in Video Surveillance Scenarios
Eker Onur, Bal Murat
Facial recognition is fundamental for a wide variety of security systems operating in real-time applications. In video surveillance based face recognition, face images are typicall…