19 citations · 31 across the 6 of their papers we have counts for
6 papers
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…
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
Juan Luis Gonzalez Bello, Munchurl Kim
In this paper, we propose a self-supervised single-view pixel-level accurate depth estimation network, called PLADE-Net. The PLADE-Net is the first work that shows unprecedented ac…
Pan-Sharpening with Color-Aware Perceptual Loss and Guided Re-Colorization
Juan Luis Gonzalez Bello, Soomin Seo, Munchurl Kim
We present a novel color-aware perceptual (CAP) loss for learning the task of pan-sharpening. Our CAP loss is designed to focus on the deep features of a pre-trained VGG network th…
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations
Juan Luis Gonzalez Bello, Munchurl Kim
Recent advances in deep learning have shown promising results in many low-level vision tasks. However, solving the single-image-based view synthesis is still an open problem. In pa…
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom
Juan Luis Gonzalez Bello, Munchurl Kim
The 3D-zoom operation is the positive translation of the camera in the Z-axis, perpendicular to the image plane. In contrast, the optical zoom changes the focal length and the digi…
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning
Juan Luis Gonzalez Bello, Munchurl Kim
Convolutional neural networks (CNN) have shown state-of-the-art results for low-level computer vision problems such as stereo and monocular disparity estimations, but still, have m…