research
∙
09/13/2023
Deep Attentive Time Warping
Similarity measures for time series are important problems for time seri...
share
research
∙
09/02/2023
Few shot font generation via transferring similarity guided global style and quantization local style
Automatic few-shot font generation (AFFG), aiming at generating new font...
research
∙
06/16/2023
FETNet: Feature Erasing and Transferring Network for Scene Text Removal
The scene text removal (STR) task aims to remove text regions and recove...
research
∙
04/27/2023
Vision Conformer: Incorporating Convolutions into Vision Transformer Layers
Transformers are popular neural network models that use layers of self-a...
research
∙
04/27/2023
Contour Completion by Transformers and Its Application to Vector Font Data
In documents and graphics, contours are a popular format to describe spe...
research
∙
12/13/2022
On Mini-Batch Training with Varying Length Time Series
In real-world time series recognition applications, it is possible to ha...
research
∙
11/05/2021
Dynamic Data Augmentation with Gating Networks
Data augmentation is a technique to improve the generalization ability o...
research
∙
06/29/2021
Using Robust Regression to Find Font Usage Trends
Fonts have had trends throughout their history, not only in when they we...
research
∙
05/24/2021
Towards Book Cover Design via Layout Graphs
Book covers are intentionally designed and provide an introduction to a ...
research
∙
05/19/2021
Font Style that Fits an Image – Font Generation Based on Image Context
When fonts are used on documents, they are intentionally selected by des...
research
∙
03/28/2021
Attention to Warp: Deep Metric Learning for Multivariate Time Series
Deep time series metric learning is challenging due to the difficult tra...
research
∙
03/08/2021
Self-Augmented Multi-Modal Feature Embedding
Oftentimes, patterns can be represented through different modalities. Fo...
research
∙
09/23/2020
What is the Reward for Handwriting? – Handwriting Generation by Imitation Learning
Analyzing the handwriting generation process is an important issue and h...
research
∙
07/31/2020
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
In recent times, deep artificial neural networks have achieved many succ...
research
∙
07/16/2020
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
We propose a weakly-supervised cell tracking method that can train a con...
research
∙
06/22/2020
On the Ability of a CNN to Realize Image-to-Image Language Conversion
The purpose of this paper is to reveal the ability that Convolutional Ne...
research
∙
04/19/2020
Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
Neural networks have become a powerful tool in pattern recognition and p...
research
∙
04/18/2020
Effect of Text Color on Word Embeddings
In natural scenes and documents, we can find the correlation between a t...
research
∙
01/24/2020
Character-independent font identification
There are a countless number of fonts with various shapes and styles. In...
research
∙
01/21/2020
Neural Style Difference Transfer and Its Application to Font Generation
Designing fonts requires a great deal of time and effort. It requires pr...
research
∙
08/06/2019
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
Convolutional Neural Networks (CNN) have become state-of-the-art in the ...
research
∙
06/14/2019
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders
This research attempts to construct a network that can convert online an...
research
∙
05/26/2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
Activation functions play an important role in the training of artificia...
research
∙
08/25/2018
How do Convolutional Neural Networks Learn Design?
In this paper, we aim to understand the design principles in book cover ...
research
∙
03/02/2018
Contained Neural Style Transfer for Decorated Logo Generation
Making decorated logos requires image editing skills, without sufficient...
research
∙
12/18/2017
Dynamic Weight Alignment for Convolutional Neural Networks
In this paper, we propose a method of improving Convolutional Neural Net...
research
∙
12/25/2016
Globally Optimal Object Tracking with Fully Convolutional Networks
Tracking is one of the most important but still difficult tasks in compu...
research
∙
10/28/2016