Vinaychandran Pondenkandath

30 papers A 2B 4Journal 14Unranked 10

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2021	J	`jnl`	Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs.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2021	—	`conf`	Generating Synthetic Handwritten Historical Documents with OCR Constrained GANs.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2019	A	`conf`	A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis.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2019	J	`jnl`	A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis.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2019	—	`conf`	Historical Document Synthesis with Generative Adversarial Networks.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