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2020 – today
- 2021
[c16]Lars Vögtlin, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold:
Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs. ICDAR (3) 2021: 610-625- [i12]Lars Vögtlin
, Manuel Drazyk, Vinaychandran Pondenkandath, Michele Alberti, Rolf Ingold:
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs. CoRR abs/2103.08236 (2021) - 2020
- [j2]Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki:
Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning. J. Imaging 6(7): 71 (2020) - [c15]Lars Vögtlin, Vinaychandran Pondenkandath, Rolf Ingold:
Cobra: A CLI Tool To Create And Share Reproducible Projects. SDS 2020: 47-48
2010 – 2019
- 2019
- [j1]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: 527-533 (2019) - [c14]Vinaychandran Pondenkandath, Michele Alberti, Michaël Diatta, Rolf Ingold, Marcus Liwicki:
Historical Document Synthesis with Generative Adversarial Networks. WML@ICDAR 2019: 146-151 - [c13]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A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis.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: 720-725 - [c12]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: 1200-1206 - [c11]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: 1-6 - [c10]Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. SDS 2019: 13-18 - [c9]Gil Clavien, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
DNNViz: Training Evolution Visualization for Deep Neural Network. SDS 2019: 19-24 - [c8]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: 25-30 - [i11]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 abs/1905.09113 (2019) - [i10]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 abs/1906.04439 (2019) - [i9]Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. CoRR abs/1906.04736 (2019) - [i8]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 abs/1906.11894 (2019) - 2018
- [c7]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Are You Tampering with My Data? ECCV Workshops (2) 2018: 296-312 - [c6]Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki:
Identifying Cross-Depicted Historical Motifs. ICFHR 2018: 333-338 - [c5]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. ICFHR 2018: 423-428 - [c4]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: 470-480 - [i7]Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki:
Identifying Cross-Depicted Historical Motifs. CoRR abs/1804.01728 (2018) - [i6]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. CoRR abs/1805.00329 (2018) - [i5]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Manuel Bouillon, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
Are You Tampering With My Data? CoRR abs/1808.06809 (2018) - [i4]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 abs/1810.07491 (2018) - [i3]Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki:
Leveraging Random Label Memorization for Unsupervised Pre-Training. CoRR abs/1811.01640 (2018) - 2017
- [c3]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: 30-35 - [c2]Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. HIP@ICDAR 2017: 95-100 - [c1]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: 2665-2672 - [i2]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 abs/1701.01077 (2017) - [i1]Michele Alberti, Mathias Seuret, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks. CoRR abs/1710.07363 (2017)
Coauthor Index
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