4 citations · 4 across the 5 of their papers we have counts for
5 papers
IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising
Dongjin Kim, Jaekyun Ko, Muhammad Kashif Ali +1
Image denoising is a fundamental challenge in computer vision, with applications in photography and medical imaging. While deep learning-based methods have shown remarkable success…
Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization
Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim +4
Video stabilization remains a fundamental problem in computer vision, particularly pixel-level synthesis solutions for video stabilization, which synthesize full-frame outputs, add…
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization
Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim +1
Video stabilization is a longstanding computer vision problem, particularly pixel-level synthesis solutions for video stabilization which synthesize full frames add to the complexi…
Task Agnostic Restoration of Natural Video Dynamics
Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim
In many video restoration/translation tasks, image processing operations are naïvely extended to the video domain by processing each frame independently, disregarding the temporal…
Deep Motion Blind Video Stabilization
Muhammad Kashif Ali, Sangjoon Yu, Tae Hyun Kim
Despite the advances in the field of generative models in computer vision, video stabilization still lacks a pure regressive deep-learning-based formulation. Deep video stabilizati…