Vinay Pondenkandath
Vinay Pondenkandath
Dirección de correo verificada de unifr.ch
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Transforming sensor data to the image domain for deep learning—An application to footstep detection
MS Singh, V Pondenkandath, B Zhou, P Lukowicz, M Liwickit
2017 International Joint Conference on Neural Networks (IJCNN), 2665-2672, 2017
482017
DeepDIVA: a highly-functional python framework for reproducible experiments
M Alberti, V Pondenkandath, M Würsch, R Ingold, M Liwicki
2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018
212018
Subword semantic hashing for intent classification on small datasets
K Shridhar, A Dash, A Sahu, GG Pihlgren, P Alonso, V Pondenkandath, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019
152019
A comprehensive study of imagenet pre-training for historical document image analysis
L Studer, M Alberti, V Pondenkandath, P Goktepe, T Kolonko, A Fischer, ...
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
142019
Historical document image segmentation with LDA-initialized deep neural networks
M Alberti, M Seuret, V Pondenkandath, R Ingold, M Liwicki
Proceedings of the 4th International Workshop on Historical Document Imaging …, 2017
142017
Offline signature verification by combining graph edit distance and triplet networks
P Maergner, V Pondenkandath, M Alberti, M Liwicki, K Riesen, R Ingold, ...
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2018
122018
Labeling, cutting, grouping: An efficient text line segmentation method for medieval manuscripts
M Alberti, L Vögtlin, V Pondenkandath, M Seuret, R Ingold, M Liwicki
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
112019
Are you tampering with my data?
M Alberti, V Pondenkandath, M Wursch, M Bouillon, M Seuret, R Ingold, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
102018
Combining graph edit distance and triplet networks for offline signature verification
P Maergner, V Pondenkandath, M Alberti, M Liwicki, K Riesen, R Ingold, ...
Pattern Recognition Letters 125, 527-533, 2019
82019
Exploiting state-of-the-art deep learning methods for document image analysis
V Pondenkandath, M Seuret, R Ingold, MZ Afzal, M Liwicki
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
82017
Identifying cross-depicted historical motifs
V Pondenkandath, M Alberti, N Eichenberger, R Ingold, M Liwicki
2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018
72018
Historical document synthesis with generative adversarial networks
V Pondenkandath, M Alberti, M Diatta, R Ingold, M Liwicki
2019 International Conference on Document Analysis and Recognition Workshops …, 2019
52019
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
J Niklaus, M Alberti, V Pondenkandath, R Ingold, M Liwicki
2019 6th Swiss Conference on Data Science (SDS), 25-30, 2019
42019
Improving reproducible deep learning workflows with deepdiva
M Alberti, V Pondenkandath, L Vögtlin, M Würsch, R Ingold, M Liwicki
2019 6th Swiss Conference on Data Science (SDS), 13-18, 2019
32019
Leveraging random label memorization for unsupervised pre-training
V Pondenkandath, M Alberti, S Puran, R Ingold, M Liwicki
arXiv preprint arXiv:1811.01640, 2018
32018
Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning
V Pondenkandath, M Alberti, N Eichenberger, R Ingold, M Liwicki
Journal of Imaging 6 (7), 71, 2020
12020
DNNViz: Training Evolution Visualization for Deep Neural Network
G Clavien, M Alberti, V Pondenkandath, R Ingold, M Liwicki
2019 6th Swiss Conference on Data Science (SDS), 19-24, 2019
12019
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs
L Vögtlin, M Drazyk, V Pondenkandath, M Alberti, R Ingold
arXiv preprint arXiv:2103.08236, 2021
2021
Cobra: A CLI Tool To Create And Share Reproducible Projects
L Vögtlin, V Pondenkandath, R Ingold
2020 7th Swiss Conference on Data Science (SDS), 47-48, 2020
2020
Transforming Sensor Data to the Image Domain for Deep Learning-an Application to Footstep Detection
M Shah Singh, V Pondenkandath, B Zhou, P Lukowicz, M Liwicki
arXiv e-prints, arXiv: 1701.01077, 2017
2017
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