Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. - Michele Alberti; Mathias Seuret; Vinaychandran Pondenkandath; Rolf Ingold; Marcus Liwicki (HIP@ICDAR, 2017)

Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis. - Vinaychandran Pondenkandath; Mathias Seuret; Rolf Ingold; Muhammad Zeshan Afzal; Marcus Liwicki (WML@ICDAR, 2017)

Transforming sensor data to the image domain for deep learning - An application to footstep detection. - Monit Shah Singh; Vinaychandran Pondenkandath; Bo Zhou 005; Paul Lukowicz; Marcus Liwicki (IJCNN, 2017)

Are You Tampering with My Data? - Michele Alberti; Vinaychandran Pondenkandath; Marcel Würsch; Manuel Bouillon; Mathias Seuret; Rolf Ingold; Marcus Liwicki (ECCV Workshops (2), 2018)

DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. - Michele Alberti; Vinaychandran Pondenkandath; Marcel Würsch; Rolf Ingold; Marcus Liwicki (ICFHR, 2018)

Identifying Cross-Depicted Historical Motifs. - Vinaychandran Pondenkandath; Michele Alberti; Nicole Eichenberger; Rolf Ingold; Marcus Liwicki (ICFHR, 2018)

Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. - Paul Maergner; Vinaychandran Pondenkandath; Michele Alberti; Marcus Liwicki; Kaspar Riesen; Rolf Ingold; Andreas Fischer 002 (S+SSPR, 2018)

Leveraging Random Label Memorization for Unsupervised Pre-Training. - Vinaychandran Pondenkandath; Michele Alberti; Sammer Puran; Rolf Ingold; Marcus Liwicki (CoRR, 2018)

Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts. - Michele Alberti; Lars Vögtlin; Vinaychandran Pondenkandath; Mathias Seuret; Rolf Ingold; Marcus Liwicki (ICDAR, 2019)

Historical Document Synthesis with Generative Adversarial Networks. - Vinaychandran Pondenkandath; Michele Alberti; Michaël Diatta; Rolf Ingold; Marcus Liwicki (WML@ICDAR, 2019)

A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. - Linda Studer; Michele Alberti; Vinaychandran Pondenkandath; Pinar Goktepe; Thomas Kolonko; Andreas Fischer 002; Marcus Liwicki; Rolf Ingold (ICDAR, 2019)

Subword Semantic Hashing for Intent Classification on Small Datasets. - Kumar Shridhar; Ayushman Dash; Amit Sahu; Gustav Grund Pihlgren; Pedro Alonso; Vinaychandran Pondenkandath; György Kovács 001; Foteini Simistira; Marcus Liwicki (IJCNN, 2019)

Improving Reproducible Deep Learning Workflows with DeepDIVA. - Michele Alberti; Vinaychandran Pondenkandath; Lars Vögtlin; Marcel Würsch; Rolf Ingold; Marcus Liwicki (SDS, 2019)

DNNViz: Training Evolution Visualization for Deep Neural Network. - Gil Clavien; Michele Alberti; Vinaychandran Pondenkandath; Rolf Ingold; Marcus Liwicki (SDS, 2019)

Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. - Joel Niklaus; Michele Alberti; Vinaychandran Pondenkandath; Rolf Ingold; Marcus Liwicki (SDS, 2019)

Combining graph edit distance and triplet networks for offline signature verification. - Paul Maergner; Vinaychandran Pondenkandath; Michele Alberti; Marcus Liwicki; Kaspar Riesen; Rolf Ingold; Andreas Fischer 002 (Pattern Recognit. Lett., 2019)

Cobra: A CLI Tool To Create And Share Reproducible Projects. - Lars Vögtlin; Vinaychandran Pondenkandath; Rolf Ingold (SDS, 2020)

Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning. - Vinaychandran Pondenkandath; Michele Alberti; Nicole Eichenberger; Rolf Ingold; Marcus Liwicki (J. Imaging, 2020)

Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs. - Lars Vögtlin; Manuel Drazyk; Vinaychandran Pondenkandath; Michele Alberti; Rolf Ingold (ICDAR (3), 2021)