Vinaychandran Pondenkandath

TL;DR: In this paper, the authors leverage the discriminative power of pre-trained deep convolutional neural networks on 2D sensor data by transforming the sensor modality to the visual domain.

TL;DR: Offline signature verification is a challenging pattern recognition task where a writer model is inferred using only a small number of genuine signatures using a combination of complementary writer mode and reader mode.

TL;DR: In this article, the authors present a comprehensive empirical survey on the effect of ImageNet pre-training for diverse historical document analysis tasks, including character recognition, style classification, manuscript dating, semantic segmentation, and content-based retrieval.

TL;DR: A comprehensive empirical survey on the effect of ImageNet pre-training for diverse historical document analysis tasks, including character recognition, style classification, manuscript dating, semantic segmentation, and content-based retrieval finds a clear trend across different network architectures that ImageNetPre-training has a positive effect on classification as well as content- based retrieval.

TL;DR: DeepDIVA is introduced: an infrastructure designed to enable quick and intuitive setup of reproducible experiments with a large range of useful analysis functionality and case studies in the area of handwritten document analysis where researchers benefit from the integrated functionality.