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08/15/2023
MultiSChuBERT: Effective Multimodal Fusion for Scholarly Document Quality Prediction
Automatic assessment of the quality of scholarly documents is a difficul...
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06/11/2023
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning
High-quality and representative data is essential for both Imitation Lea...
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05/17/2023
Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation
The goal of a speech-to-image transform is to produce a photo-realistic ...
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12/15/2022
The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts
Identifying the production dates of historical manuscripts is one of the...
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04/27/2022
Optimized latent-code selection for explainable conditional text-to-image GANs
The task of text-to-image generation has achieved remarkable progress du...
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03/02/2022
Image-based material analysis of ancient historical documents
Researchers continually perform corroborative tests to classify ancient ...
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02/25/2022
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs
Text-to-image generation intends to automatically produce a photo-realis...
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11/17/2021
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation
In this paper, we present an efficient and effective single-stage framew...
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09/10/2021
Active learning for reducing labeling effort in text classification tasks
Labeling data can be an expensive task as it is usually performed manual...
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04/11/2021
GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identification
This paper presents an end-to-end neural network system to identify writ...
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03/25/2021
Self-Imitation Learning by Planning
Imitation learning (IL) enables robots to acquire skills quickly by tran...
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12/21/2020
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction
Predicting the number of citations of scholarly documents is an upcoming...
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11/05/2020
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
Most existing text-to-image generation methods adopt a multi-stage modul...
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10/27/2020
Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa)
The Dead Sea Scrolls are tangible evidence of the Bible's ancient scriba...
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04/30/2020
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction
Training recurrent neural networks on long texts, in particular scholarl...
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03/16/2020
FragNet: Writer Identification using Deep Fragment Networks
Writer identification based on a small amount of text is a challenging p...
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02/10/2020
Learning to Grasp 3D Objects using Deep Residual U-Nets
Affordance detection is one of the challenging tasks in robotics because...
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02/07/2020
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning
Reinforcement learning has shown great promise in the training of robot ...
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12/11/2019
Lifelong learning for text retrieval and recognition in historical handwritten document collections
This chapter provides an overview of the problems that need to be dealt ...
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12/06/2019
A limited-size ensemble of homogeneous CNN/LSTMs for high-performance word classification
In recent years, long short-term memory neural networks (LSTMs) have bee...
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11/13/2019
BiNet: Degraded-Manuscript Binarization in Diverse Document Textures and Layouts using Deep Encoder-Decoder Networks
Handwritten document-image binarization is a semantic segmentation proce...
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04/17/2019
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods
This technical report describes a practical field test on word-image cla...
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02/28/2019
No Padding Please: Efficient Neural Handwriting Recognition
Neural handwriting recognition (NHR) is the recognition of handwritten t...
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01/18/2019
DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
This paper presents a novel iterative deep learning framework and apply ...
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09/28/2018
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images
There are two types of information in each handwritten word image: expli...
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08/27/2018
