16 citations · 19 across the 10 of their papers we have counts for
10 papers
Towards Clip-Free Quantized Super-Resolution Networks: How to Tame Representative Images
Alperen Kalay, Bahri Batuhan Bilecen, Mustafa Ayazoglu
Super-resolution (SR) networks have been investigated for a while, with their mobile and lightweight versions gaining noticeable popularity recently. Quantization, the procedure of…
FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement
Mustafa Ozcan, Hamza Ergezer, Mustafa Ayazaoglu
Low-light image enhancement (LLIE) is an ill-posed inverse problem due to the lack of knowledge of the desired image which is obtained under ideal illumination conditions. Low-ligh…
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution Network
Bahri Batuhan Bilecen, Mustafa Ayazoglu
We propose a real-time and lightweight single-image super-resolution (SR) network named Bicubic++. Despite using spatial dimensions of the input image across the whole network, Bic…
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Maurizio Denna +93
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions hav…
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation
Mustafa Ayazoglu, Bahri Batuhan Bilecen
We propose a lightweight, single image super-resolution network for mobile devices, named XCAT. XCAT introduces Heterogeneous Group Convolution Blocks with Cross Concatenations (HX…
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Xin Li +49
This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compress…
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices
Bahri Batuhan Bilecen, Alparslan Fisne, Mustafa Ayazoglu
Image alignment, also known as image registration, is a critical block used in many computer vision problems. One of the key factors in alignment is efficiency, as inefficient alig…
IMDeception: Grouped Information Distilling Super-Resolution Network
Mustafa Ayazoglu
Single-Image-Super-Resolution (SISR) is a classical computer vision problem that has benefited from the recent advancements in deep learning methods, especially the advancements of…
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
Mustafa Ayazoglu
Single-Image Super Resolution (SISR) is a classical computer vision problem and it has been studied for over decades. With the recent success of deep learning methods, recent work…
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Radu Timofte, Maurizio Denna +20
Image super-resolution is one of the most popular computer vision problems with many important applications to mobile devices. While many solutions have been proposed for this task…