In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...
Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...
Computer-generated holography (CGH), as one of the most attractive next-generation three-dimensional (3D) display technology, possesses the capacity ...
[ECCV 2024] Official implementation of "Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization" Multiview matching with deep-learning and ...
Abstract: We propose the self-denoising network (SDNet), a self-supervised network based on a convolutional neural network (CNN), for Brillouin trace denoising. With the target noisy image as the only ...
Abstract: This project presents a deep learning-based solution to enhance image resolution using the Enhanced Deep Super-Resolution (EDSR) model. Unlike traditional interpolation methods, EDSR ...
🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.
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