161 citations · 167 across the 9 of their papers we have counts for
4 papers · 1 filter
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images
Asmaa Haja, Eric Brouwer, Lambert Schomaker
The process of annotating relevant data in the field of digital microscopy can be both time-consuming and especially expensive due to the required technical skills and human-expert…
Writer adaptation for offline text recognition: An exploration of neural network-based methods
Tobias van der Werff, Maruf A. Dhali, Lambert Schomaker
Handwriting recognition has seen significant success with the use of deep learning. However, a persistent shortcoming of neural networks is that they are not well-equipped to deal…
Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation
Zhenxing Zhang, Lambert Schomaker
The goal of a speech-to-image transform is to produce a photo-realistic picture directly from a speech signal. Recently, various studies have focused on this task and have achieved…
DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
Sheng He, Lambert Schomaker
This paper presents a novel iterative deep learning framework and apply it for document enhancement and binarization. Unlike the traditional methods which predict the binary label…