104 citations · 256 across the 12 of their papers we have counts for
7 papers · 1 filter
GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identification
Sheng He, Lambert Schomaker
This paper presents an end-to-end neural network system to identify writers through handwritten word images, which jointly integrates global-context information and a sequence of l…
A fully automated end-to-end process for fluorescence microscopy images of yeast cells: From segmentation to detection and classification
Asmaa Haja, Lambert R. B. Schomaker
In recent years, an enormous amount of fluorescence microscopy images were collected in high-throughput lab settings. Analyzing and extracting relevant information from all images…
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation
Zhenxing Zhang, Lambert Schomaker
Most existing text-to-image generation methods adopt a multi-stage modular architecture which has three significant problems: 1) Training multiple networks increases the run time a…
FragNet: Writer Identification using Deep Fragment Networks
Sheng He, Lambert Schomaker
Writer identification based on a small amount of text is a challenging problem. In this paper, we propose a new benchmark study for writer identification based on word or text bloc…
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features
Tim Oosterhuis, Lambert Schomaker
Being aware of other traffic is a prerequisite for self-driving cars to operate in the real world. In this paper, we show how the intrinsic feature maps of an object detection CNN…
Lifelong learning for text retrieval and recognition in historical handwritten document collections
Lambert Schomaker
This chapter provides an overview of the problems that need to be dealt with when constructing a lifelong-learning retrieval, recognition and indexing engine for large historical d…
BiNet: Degraded-Manuscript Binarization in Diverse Document Textures and Layouts using Deep Encoder-Decoder Networks
Maruf A. Dhali, Jan Willem de Wit, Lambert Schomaker
Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixels from background pixels. It is one of the essential steps towards character re…