Similarity measures for time series are important problems for time seri...
A major approach for defending against adversarial attacks aims at
contr...
Scene text removal (STR) is the image transformation task to remove text...
Most recent methods of deep image enhancement can be generally classifie...
Despite recent advances in image enhancement, it remains difficult for
e...
We propose a novel framework for target speech extraction based on seman...
Our goal is to generate fonts with specific impressions, by training a
g...
Different fonts have different impressions, such as elegant, scary, and ...
Deep time series metric learning is challenging due to the difficult
tra...
We have specific impressions from the style of a typeface (font), sugges...
Various fonts give us various impressions, which are often represented b...
The current state-of-the-art in feature learning relies on the supervise...
In this paper, we propose imitation networks, a simple but effective met...
Supernovae Type-Ia (SNeIa) play a significant role in exploring the hist...
This paper proposes a novel type of random forests called a denoising ra...
This paper provides a generic framework of component analysis (CA) metho...
Automatic video segmentation plays an important role in a wide range of
...
Recent studies in the field of human vision science suggest that the hum...