Vinaychandran Pondenkandath

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 30

Top Topics

Historical Documents

Document Image Analysis

Top Venues

Publications

Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold
Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs. ICDAR (3) (2021)
Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs. CoRR (2021)
Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki
Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning. J. Imaging 6 (7) (2020)
Lars Vögtlin, Vinaychandran Pondenkandath, Rolf Ingold
Cobra: A CLI Tool To Create And Share Reproducible Projects. SDS (2020)
Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts. CoRR (2019)
Gil Clavien, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
DNNViz: Training Evolution Visualization for Deep Neural Network. SDS (2019)
Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
Combining graph edit distance and triplet networks for offline signature verification. Pattern Recognit. Lett. 125 (2019)
Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki
Improving Reproducible Deep Learning Workflows with DeepDIVA. SDS (2019)
Michele Alberti, Lars Vögtlin, Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Labeling, Cutting, Grouping: An Efficient Text Line Segmentation Method for Medieval Manuscripts. ICDAR (2019)
Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. SDS (2019)
Vinaychandran Pondenkandath, Michele Alberti, Michaël Diatta, Rolf Ingold, Marcus Liwicki
Historical Document Synthesis with Generative Adversarial Networks. WML@ICDAR (2019)
Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. CoRR (2019)
Linda Studer, Michele Alberti, Vinaychandran Pondenkandath, Pinar Goktepe, Thomas Kolonko, Andreas Fischer, Marcus Liwicki, Rolf Ingold
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. ICDAR (2019)
Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki
Improving Reproducible Deep Learning Workflows with DeepDIVA. CoRR (2019)
Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. CoRR (2019)
Kumar Shridhar, Ayushman Dash, Amit Sahu, Gustav Grund Pihlgren, Pedro Alonso, Vinaychandran Pondenkandath, György Kovács, Foteini Simistira, Marcus Liwicki
Subword Semantic Hashing for Intent Classification on Small Datasets. IJCNN (2019)
Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki
Identifying Cross-Depicted Historical Motifs. CoRR (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Are You Tampering with My Data? ECCV Workshops (2) (2018)
Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. CoRR (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki
Are You Tampering With My Data? CoRR (2018)
Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki
Identifying Cross-Depicted Historical Motifs. ICFHR (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. CoRR (2018)
Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold, Andreas Fischer
Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks. S+SSPR (2018)
Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. ICFHR (2018)
Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki
Leveraging Random Label Memorization for Unsupervised Pre-Training. CoRR (2018)
Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. HIP@ICDAR (2017)
Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Muhammad Zeshan Afzal, Marcus Liwicki
Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis. WML@ICDAR (2017)
Monit Shah Singh, Vinaychandran Pondenkandath, Bo Zhou, Paul Lukowicz, Marcus Liwicki
Transforming sensor data to the image domain for deep learning - An application to footstep detection. IJCNN (2017)
Monit Shah Singh, Vinaychandran Pondenkandath, Bo Zhou, Paul Lukowicz, Marcus Liwicki
Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection. CoRR (2017)
Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. CoRR (2017)