26 citations · 36 across the 3 of their papers we have counts for
7 papers
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…
Deep Closed-Form Subspace Clustering
Junghoon Seo, Jamyoung Koo, Taegyun Jeon
We propose Deep Closed-Form Subspace Clustering (DCFSC), a new embarrassingly simple model for subspace clustering with learning non-linear mapping. Compared with the previous deep…
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations
Yooseung Wang, Junghoon Seo, Taegyun Jeon
Road extraction from very high resolution satellite (VHR) images is one of the most important topics in the field of remote sensing. In this paper, we propose an efficient Non-Loca…
Bridging Adversarial Robustness and Gradient Interpretability
Beomsu Kim, Junghoon Seo, Taegyun Jeon
Adversarial training is a training scheme designed to counter adversarial attacks by augmenting the training dataset with adversarial examples. Surprisingly, several studies have o…
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps
Beomsu Kim, Junghoon Seo, SeungHyun Jeon +3
Saliency Map, the gradient of the score function with respect to the input, is the most basic technique for interpreting deep neural network decisions. However, saliency maps are o…
Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning
Junghoon Seo, Seunghyun Jeon, Taegyun Jeon
Object detection and classification for aircraft are the most important tasks in the satellite image analysis. The success of modern detection and classification methods has been b…