40 citations · 96 across the 13 of their papers we have counts for
27 papers
Selective compression learning of latent representations for variable-rate image compression
Jooyoung Lee, Seyoon Jeong, Munchurl Kim
Recently, many neural network-based image compression methods have shown promising results superior to the existing tool-based conventional codecs. However, most of them are often…
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
Andrey Ignatov, Radu Timofte, Jin Zhang +21
As mobile cameras with compact optics are unable to produce a strong bokeh effect, lots of interest is now devoted to deep learning-based solutions for this task. In this Mobile AI…
Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos
Juan Luis Gonzalez Bello, Jaeho Moon, Munchurl Kim
Recently, much attention has been drawn to learning the underlying 3D structures of a scene from monocular videos in a fully self-supervised fashion. One of the most challenging as…
SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery
Jaehyup Lee, Soomin Seo, Munchurl Kim
Pan-sharpening is a process of merging a high-resolution (HR) panchromatic (PAN) image and its corresponding low-resolution (LR) multi-spectral (MS) image to create an HR-MS and pa…
Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images
Dac Tung Vu, Juan Luis Gonzalez, Munchurl Kim
Heavy rain removal from a single image is the task of simultaneously eliminating rain streaks and fog, which can dramatically degrade the quality of captured images. Most existing…
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier
Jihyong Oh, Munchurl Kim
Although Generative Adversarial Networks (GANs) are successfully applied to diverse fields, training GANs on synthetic aperture radar (SAR) data is a challenging task mostly due to…