Vinaychandran Pondenkandath

According to our database, Vinaychandran Pondenkandath authored at least 19 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs.

Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning.

Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki

J. Imaging, 2020

Cobra: A CLI Tool To Create And Share Reproducible Projects.

Lars Vögtlin, Vinaychandran Pondenkandath, Rolf Ingold

Proceedings of the 7th Swiss Conference on Data Science, 2020

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

Pattern Recognit. Lett., 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

Proceedings of the 6th Swiss Conference on Data Science, 2019

DNNViz: Training Evolution Visualization for Deep Neural Network.

Gil Clavien, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki

Proceedings of the 6th Swiss Conference on Data Science, 2019

Improving Reproducible Deep Learning Workflows with DeepDIVA.

Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki

Proceedings of the 6th Swiss Conference on Data Science, 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, Foteini Simistira, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 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A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis.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, Marcus Liwicki, Rolf Ingold

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Historical Document Synthesis with Generative Adversarial Networks.

Vinaychandran Pondenkandath, Michele Alberti, Michaël Diatta, Rolf Ingold, Marcus Liwicki

Proceedings of the Second International Workshop on Machine Learning, 2019

Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts.

Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018

Leveraging Random Label Memorization for Unsupervised Pre-Training.

Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki

CoRR, 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

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Identifying Cross-Depicted Historical Motifs.

Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments.

Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

Are You Tampering with My Data?

Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Transforming sensor data to the image domain for deep learning - An application to footstep detection.

Monit Shah Singh, Vinaychandran Pondenkandath, Bo Zhou, Paul Lukowicz, Marcus Liwicki

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis.

Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Muhammad Zeshan Afzal, Marcus Liwicki

Proceedings of the First Workshop of Machine Learning, 2017

Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks.

Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki

Proceedings of the 4th International Workshop on Historical Document Imaging and Processing, 2017