research
∙
09/13/2023
Deep Attentive Time Warping
Similarity measures for time series are important problems for time seri...
share
research
∙
09/05/2023
Towards Diverse and Consistent Typography Generation
In this work, we consider the typography generation task that aims at pr...
research
∙
09/04/2023
Toward Defensive Letter Design
A major approach for defending against adversarial attacks aims at contr...
research
∙
09/01/2023
Selective Scene Text Removal
Scene text removal (STR) is the image transformation task to remove text...
research
∙
06/21/2023
Analyzing Font Style Usage and Contextual Factors in Real Images
There are various font styles in the world. Different styles give differ...
research
∙
06/21/2023
Ambigram Generation by A Diffusion Model
Ambigrams are graphical letter designs that can be read not only from th...
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
Contour Completion by Transformers and Its Application to Vector Font Data
In documents and graphics, contours are a popular format to describe spe...
research
∙
03/02/2023
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification
Semi-supervised domain adaptation is a technique to build a classifier f...
research
∙
02/24/2023
Disease Severity Regression with Continuous Data Augmentation
Disease severity regression by a convolutional neural network (CNN) for ...
research
∙
02/17/2023
Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization
This paper proposes a novel and efficient method for Learning from Label...
research
∙
10/18/2022
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification
This work presents a novel self-supervised representation learning metho...
research
∙
08/05/2022
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
Automatic image-based disease severity estimation generally uses discret...
research
∙
05/31/2022
MontageGAN: Generation and Assembly of Multiple Components by GANs
A multi-layer image is more valuable than a single-layer image from a gr...
research
∙
03/19/2022
Font Generation with Missing Impression Labels
Our goal is to generate fonts with specific impressions, by training a g...
research
∙
03/17/2022
Revealing Reliable Signatures by Learning Top-Rank Pairs
Signature verification, as a crucial practical documentation analysis ta...
research
∙
03/17/2022
Optimal Rejection Function Meets Character Recognition Tasks
In this paper, we propose an optimal rejection method for rejecting ambi...
research
∙
03/15/2022
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
This work presents a novel self-supervised pre-training method to learn ...
research
∙
03/11/2022
Font Shape-to-Impression Translation
Different fonts have different impressions, such as elegant, scary, and ...
research
∙
03/10/2022
TrueType Transformer: Character and Font Style Recognition in Outline Format
We propose TrueType Transformer (T3), which can perform character and fo...
research
∙
11/06/2021
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
Ulcerative colitis (UC) classification, which is an important task for e...
research
∙
10/05/2021
De-rendering Stylized Texts
Editing raster text is a promising but challenging task. We propose to a...
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
∙
04/01/2021
Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo
This paper analyzes a large number of logo images from the LLD-logo data...
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
∙
03/23/2021
Shared Latent Space of Font Shapes and Impressions
We have specific impressions from the style of a typeface (font), sugges...
research
∙
03/18/2021
Impressions2Font: Generating Fonts by Specifying Impressions
Various fonts give us various impressions, which are often represented b...
research
∙
03/17/2021
Meta-learning of Pooling Layers for Character Recognition
In convolutional neural network-based character recognition, pooling lay...
research
∙
03/08/2021
Self-Augmented Multi-Modal Feature Embedding
Oftentimes, patterns can be represented through different modalities. Fo...
research
∙
02/26/2021
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization
The interpretability of neural networks (NNs) is a challenging but essen...
research
∙
09/27/2020
Handwriting Prediction Considering Inter-Class Bifurcation Structures
Temporal prediction is a still difficult task due to the chaotic behavio...
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
∙
09/19/2020
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee
For visual object tracking, it is difficult to realize an almighty onlin...
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
∙
07/30/2020
Label or Message: A Large-Scale Experimental Survey of Texts and Objects Co-Occurrence
Our daily life is surrounded by textual information. Nowadays, the autom...
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
∙
06/21/2020
Lyric Video Analysis Using Text Detection and Tracking
We attempt to recognize and track lyric words in lyric videos. Lyric vid...
research
∙
05/06/2020
Regularized Pooling
In convolutional neural networks (CNNs), pooling operations play importa...
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
∙
04/07/2020
Iconify: Converting Photographs into Icons
In this paper, we tackle a challenging domain conversion task between ph...
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
∙
11/14/2019
SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model
In probabilistic classification, a discriminative model based on Gaussia...
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
∙
06/24/2019
Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements
In this paper, we conduct a large-scale study of font statistics in book...
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
∙
05/30/2019
