Font Shape-to-Impression Translation | 0 | 0.34 | 2022 |
Automatic Estimation of Ulcerative Colitis Severity by Learning to Rank With Calibration | 0 | 0.34 | 2022 |
Fonts That Fit the Music: A Multimodal Design Trend Analysis of Lyric Videos | 0 | 0.34 | 2022 |
Font Style that Fits an Image - Font Generation Based on Image Context | 0 | 0.34 | 2021 |
A Discriminative Gaussian Mixture Model with Sparsity | 0 | 0.34 | 2021 |
Soft and self constrained clustering for group-based labeling | 0 | 0.34 | 2021 |
Attention to Warp: Deep Metric Learning for Multivariate Time Series | 0 | 0.34 | 2021 |
Using Robust Regression to Find Font Usage Trends | 0 | 0.34 | 2021 |
Meta-learning of Pooling Layers for Character Recognition | 0 | 0.34 | 2021 |
Impressions2Font: Generating Fonts by Specifying Impressions | 0 | 0.34 | 2021 |
Complex image processing with less data—Document image binarization by integrating multiple pre-trained U-Net modules | 0 | 0.34 | 2021 |
16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part IV. | 0 | 0.34 | 2021 |
16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part III. | 0 | 0.34 | 2021 |
SELF-AUGMENTED MULTI-MODAL FEATURE EMBEDDING | 0 | 0.34 | 2021 |
Famous Companies Use More Letters in Logo: A Large-Scale Analysis of Text Area in Logo | 0 | 0.34 | 2021 |
16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part II. | 0 | 0.34 | 2021 |
Benchmarking Deep Learning Models for Classification of Book Covers | 0 | 0.34 | 2020 |
Time Series Data Augmentation For Neural Networks By Time Warping With A Discriminative Teacher | 0 | 0.34 | 2020 |
Label Or Message: A Large-Scale Experimental Survey Of Texts And Objects Co-Occurrence | 0 | 0.34 | 2020 |
Selective Super-Resolution for Scene Text Images | 0 | 0.34 | 2019 |
Detecting Mathematical Expressions In Scientific Document Images Using A U-Net Trained On A Diverse Dataset | 0 | 0.34 | 2019 |
Scribbles For Metric Learning In Histological Image Segmentation | 0 | 0.34 | 2019 |
Endoscopic Image Clustering With Temporal Ordering Information Based On Dynamic Programming | 0 | 0.34 | 2019 |
Scene word recognition from pieces to whole | 0 | 0.34 | 2019 |
Cascading Modular U-Nets for Document Image Binarization. | 0 | 0.34 | 2019 |
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders | 1 | 0.35 | 2019 |
Capturing Micro Deformations from Pooling Layers for Offline Signature Verification. | 0 | 0.34 | 2019 |
On the Ability of a CNN to Realize Image-to-Image Language Conversion | 0 | 0.34 | 2019 |
Serif or Sans - Visual Font Analytics on Book Covers and Online Advertisements. | 0 | 0.34 | 2019 |
RankSVM for Offline Signature Verification. | 0 | 0.34 | 2019 |
Logo Design Analysis by Ranking. | 0 | 0.34 | 2019 |
Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence Features. | 0 | 0.34 | 2019 |
An Image-Based Representation for Graph Classification. | 0 | 0.34 | 2018 |
Text Line Extraction Based on Integrated K-Shortest Paths Optimization | 0 | 0.34 | 2018 |
How Do Convolutional Neural Networks Learn Design? | 0 | 0.34 | 2018 |
Font Creation Using Class Discriminative Deep Convolutional Generative Adversarial Networks | 0 | 0.34 | 2017 |
Dynamic Weight Alignment for Convolutional Neural Networks. | 0 | 0.34 | 2017 |
Automatic Generation of Typographic Font From Small Font Subset | 1 | 0.35 | 2017 |
Neural Font Style Transfer | 2 | 0.38 | 2017 |
Could scene context be beneficial for scene text detection? | 6 | 0.43 | 2016 |
A Comparative Study on Outlier Removal from a Large-scale Dataset using Unsupervised Anomaly Detection. | 1 | 0.39 | 2016 |
A new method for multi-oriented graphics-scene-3D text classification in video | 1 | 0.35 | 2016 |
Efficient Anchor Graph Hashing With Data-Dependent Anchor Selection | 0 | 0.34 | 2015 |
Improving Hausdorff Edit Distance Using Structural Node Context. | 2 | 0.38 | 2015 |
True color distributions of scene text and background | 0 | 0.34 | 2015 |
Data Embedding Into Characters | 0 | 0.34 | 2015 |
Similarity-based regularization for semi-supervised learning for handwritten digit recognition | 0 | 0.34 | 2015 |
Preselection of support vector candidates by relative neighborhood graph for large-scale character recognition | 3 | 0.40 | 2015 |
Deep BLSTM neural networks for unconstrained continuous handwritten text recognition | 5 | 0.44 | 2015 |
Global feature for online character recognition | 6 | 0.46 | 2014 |