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ORCIDMarcus Liwicki
Marcus Eichenberger-Liwicki
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- affiliation: Luleå University of Technology, Sweden
- affiliation (former): German Research Center for Artificial Intelligence
- affiliation (former): University of Kaiserslautern, Department of Computer Science
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2020 – today
- 2021
[j30]Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal:
Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks. IEEE Access 9: 87663-87685 (2021)- [j29]Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal:
Guided Table Structure Recognition Through Anchor Optimization. IEEE Access 9: 113521-113534 (2021) - [j28]Muhammad Ahmed
, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments. Sensors 21(15): 5116 (2021) - [c172]Birhanu Hailu Belay, Tewodros Habtegebrial, Marcus Liwicki, Gebeyehu Belay, Didier Stricker:
A Blended Attention-CTC Network Architecture for Amharic Text-image Recognition. ICPRAM 2021: 435-441 - [c171]Christian Günther, Nils Jansson, Marcus Liwicki, Foteini Simistira Liwicki:
Towards a Machine Learning Framework for Drill Core Analysis. SAIS 2021: 1-6 - [c170]Ali Usman, Muhammad Rafiq, Muhammad Saeed, Ali Nauman, Andreas Almqvist, Marcus Liwicki:
Machine Learning Computational Fluid Dynamics. SAIS 2021: 1-4 - [i42]Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Noman Afzal, Muhammad Zeshan Afzal:
Guided Table Structure Recognition through Anchor Optimization. CoRR abs/2104.10538 (2021) - [i41]Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal:
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks. CoRR abs/2104.14272 (2021) - [i40]Tosin P. Adewumi, Saleha Javed, Roshanak Vadoodi, Aparajita Tripathy, Konstantina Nikolaidou, Foteini Liwicki, Marcus Liwicki:
Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms. CoRR abs/2105.03280 (2021) - 2020
- [j27]Tosin P. Adewumi, Marcus Liwicki:
Inner For-Loop for Speeding Up Blockchain Mining. Open Comput. Sci. 10(1): 42-47 (2020) - [j26]Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki:
A deep learning based arabic script recognition system: benchmark on KHAT. Int. Arab J. Inf. Technol. 17(3): 299-305 (2020) - [j25]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) - [c169]Sumit Rakesh, Saleha Javed, Rajkumar Saini, Marcus Liwicki:
Sign Gesture Recognition from Raw Skeleton Information in 3D Using Deep Learning. CVIP (2) 2020: 184-195 - [c168]György Kovács, Rickard Brännvall, Johan Öhman, Marcus Liwicki:
Cross-Encoded Meta Embedding towards Transfer Learning. ESANN 2020: 631-636 - [c167]Priyamvada Shankar, Andreas Johnen, Marcus Liwicki:
Data Fusion and Artificial Neural Networks for Modelling Crop Disease Severity. FUSION 2020: 1-8 - [c166]Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret:
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. ICPR 2020: 8204-8211 - [c165]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. ICPR 2020: 10744-10750 - [c164]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Improving Image Autoencoder Embeddings with Perceptual Loss. IJCNN 2020: 1-7 - [i39]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Improving Image Autoencoder Embeddings with Perceptual Loss. CoRR abs/2001.03444 (2020) - [i38]Pedro Alonso, Kumar Shridhar, Denis Kleyko, Evgeny Osipov, Marcus Liwicki:
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics. CoRR abs/2003.01821 (2020) - [i37]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. CoRR abs/2003.07441 (2020) - [i36]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks. CoRR abs/2003.11645 (2020) - [i35]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Exploring Swedish & English fastText Embeddings with the Transformer. CoRR abs/2007.16007 (2020) - [i34]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Corpora Compared: The Case of the Swedish Gigaword & Wikipedia Corpora. CoRR abs/2011.03281 (2020) - [i33]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
The Challenge of Diacritics in Yoruba Embeddings. CoRR abs/2011.07605 (2020)
2010 – 2019
- 2019
- [j24]Manuel Bouillon, Rolf Ingold, Marcus Liwicki:
Grayification: A meaningful grayscale conversion to improve handwritten historical documents analysis. Pattern Recognit. Lett. 121: 46-51 (2019) - [j23]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) - [c163]György Kovács, Vanda Balogh, Purvanshi Mehta, Kumar Shridhar, Pedro Alonso, Marcus Liwicki:
Author Profiling using Semantic and Syntactic Features. CLEF (Working Notes) 2019 - [c162]Rajkumar Saini, Pradeep Kumar, Shweta Patidar, Partha Pratim Roy, Marcus Liwicki:
Trilingual 3D Script Identification and Recognition using Leap Motion Sensor. WML@ICDAR 2019: 24-28 - [c161]Vinaychandran Pondenkandath, Michele Alberti, Michaël Diatta, Rolf Ingold, Marcus Liwicki:
Historical Document Synthesis with Generative Adversarial Networks. WML@ICDAR 2019: 146-151 - [c160]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 - [c159]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 - [c158]Birhanu Hailu Belay, Tewodros Habtegebrial, Marcus Liwicki, Gebeyehu Belay, Didier Stricker:
Amharic Text Image Recognition: Database, Algorithm, and Analysis. ICDAR 2019: 1268-1273 - [c157]Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki, Foteini Simistira Liwicki:
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records. ICDAR 2019: 1499-1504 - [c156]Birhanu Belay, Tewodros Habtegebrial, Marcus Liwicki, Gebeyehu Belay, Didier Stricker:
Factored Convolutional Neural Network for Amharic Character Image Recognition. ICIP 2019: 2906-2910 - [c155]Sidney Pontes-Filho, Marcus Liwicki:
Bidirectional Learning for Robust Neural Networks. IJCNN 2019: 1-8 - [c154]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 - [c153]György Kovács, László Tóth, Dirk Van Compernolle, Marcus Liwicki:
Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition. INTERSPEECH 2019: 421-425 - [c152]Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. SDS 2019: 13-18 - [c151]Gil Clavien, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
DNNViz: Training Evolution Visualization for Deep Neural Network. SDS 2019: 19-24 - [c150]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 - [i32]Kumar Shridhar, Felix Laumann, Marcus Liwicki:
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference. CoRR abs/1901.02731 (2019) - [i31]Ashutosh Mishra, Marcus Liwicki:
Using Deep Object Features for Image Descriptions. CoRR abs/1902.09969 (2019) - [i30]Foteini Simistira Liwicki, Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki:
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records. CoRR abs/1903.03341 (2019) - [i29]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) - [i28]Tosin P. Adewumi, Marcus Liwicki:
Mr and Professor. CoRR abs/1906.02770 (2019) - [i27]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) - [i26]Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. CoRR abs/1906.04736 (2019) - [i25]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) - [i24]Michele Alberti, Angela Botros, Narayan Schütz, Rolf Ingold, Marcus Liwicki, Mathias Seuret:
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural Networks. CoRR abs/1911.05045 (2019) - 2018
- [j22]Federico Raue, Andreas Dengel, Thomas M. Breuel, Marcus Liwicki:
Symbol Grounding Association in Multimodal Sequences with Missing Elements. J. Artif. Intell. Res. 61: 787-806 (2018) - [c149]Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
Space Anomalies in OCRs for Arabic Like Scripts. ASAR 2018: 67-71 - [c148]Marcel Würsch, Marcus Liwicki, Rolf Ingold:
Web Services in Document Image Analysis - Recent Developments on DIVAServices and the Importance of Building an Ecosystem. DAS 2018: 334-339 - [c147]Mathias Seuret, Manuel Bouillon, Fotini Simistira, Marcel Würsch, Marcus Liwicki, Rolf Ingold:
A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation. DAS 2018: 340-344 - [c146]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 - [c145]Andreas Kölsch, Ashutosh Mishra, Saurabh Varshneya, Muhammad Zeshan Afzal, Marcus Liwicki:
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks. ICFHR 2018: 25-31 - [c144]Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki:
Identifying Cross-Depicted Historical Motifs. ICFHR 2018: 333-338 - [c143]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. ICFHR 2018: 423-428 - [c142]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 - [p3]Vassilis Katsouros, Evita Fotinea, Renaat Frans, Erica Andreotti, Petros Stergiopoulos, Manolis Chaniotakis, Thomas Fischer, Robert Piéchaud, Zoltan Karpati, Pierre Laborde, Daniel Martín-Albo, Fotini Simistira, Marcus Liwicki:
iMuSciCA: Interactive Music Science Collaborative Activities for STEAM Learning. Designing for the User Experience in Learning Systems 2018: 123-154 - [i23]Andreas Kölsch, Ashutosh Mishra, Saurabh Varshneya, Marcus Liwicki:
Recognizing Challenging Handwritten Annotations with Fully Convolutional Networks. CoRR abs/1804.00236 (2018) - [i22]Vinaychandran Pondenkandath, Michele Alberti, Nicole Eichenberger, Rolf Ingold, Marcus Liwicki:
Identifying Cross-Depicted Historical Motifs. CoRR abs/1804.01728 (2018) - [i21]Michele Alberti, Vinaychandran Pondenkandath, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments. CoRR abs/1805.00329 (2018) - [i20]Sidney Pontes-Filho, Marcus Liwicki:
Bidirectional Learning for Robust Neural Networks. CoRR abs/1805.08006 (2018) - [i19]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) - [i18]Kumar Shridhar, Amit Sahu, Ayushman Dash, Pedro Alonso, Gustav Pihlgren, Vinay Pondeknath, Fotini Simistira, Marcus Liwicki:
Subword Semantic Hashing for Intent Classification on Small Datasets. CoRR abs/1810.07150 (2018) - [i17]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) - [i16]Vinaychandran Pondenkandath, Michele Alberti, Sammer Puran, Rolf Ingold, Marcus Liwicki:
Leveraging Random Label Memorization for Unsupervised Pre-Training. CoRR abs/1811.01640 (2018) - 2017
- [j21]Hao Wei, Mathias Seuret, Marcus Liwicki, Rolf Ingold:
The use of Gabor features for semi-automatically generated polyon-based ground truth of historical document images. Digit. Scholarsh. Humanit. 32(suppl_1): i134-i149 (2017) - [j20]Marcel Würsch, Rolf Ingold, Marcus Liwicki:
DivaServices - A RESTful web service for Document Image Analysis methods. Digit. Scholarsh. Humanit. 32(suppl_1): i150-i156 (2017) - [c141]Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
Text-line segmentation of large titles and headings in Arabic like script. ASAR 2017: 168-172 - [c140]Karim Sayadi, Mansour Hamidi, Marc Bui, Marcus Liwicki, Andreas Fischer:
Character-Level Dialect Identification in Arabic Using Long Short-Term Memory. CICLing (2) 2017: 324-337 - [c139]Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki:
Classless Association Using Neural Networks. ICANN (2) 2017: 165-173 - [c138]Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
KHATT: A Deep Learning Benchmark on Arabic Script. MOCR@ICDAR 2017: 10-14 - [c137]Andreas Kölsch, Muhammad Zeshan Afzal, Marcus Liwicki:
Multilevel Context Representation for Improving Object Recognition. WML@ICDAR 2017: 10-15 - [c136]Riaz Ahmad, Saeeda Naz, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel:
The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System. MOCR@ICDAR 2017: 15-19 - [c135]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 - [c134]Michele Alberti, Manuel Bouillon, Rolf Ingold, Marcus Liwicki:
Open Evaluation Tool for Layout Analysis of Document Images. OST@ICDAR 2017: 43-47 - [c133]Marcel Würsch, Fotini Simistira, Rolf Ingold, Marcus Liwicki:
Turning Document Image Analysis Methods into Web Services - An Example Using OCRopus. OST@ICDAR 2017: 48-52 - [c132]Mathias Seuret, Daniel Stökl Ben Ezra, Marcus Liwicki:
Robust Heartbeat-based Line Segmentation Methods for Regular Texts and Paratextual Elements. HIP@ICDAR 2017: 71-76 - [c131]Felix Trier, Muhammad Zeshan Afzal, Markus Ebbecke, Marcus Liwicki:
Deep Convolutional Neural Networks for Image Resolution Detection. HIP@ICDAR 2017: 77-82 - [c130]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 - [c129]Hao Wei, Mathias Seuret, Marcus Liwicki, Rolf Ingold, Pei Fu:
Selecting Fine-Tuned Features for Layout Analysis of Historical Documents. ICDAR 2017: 281-286 - [c128]Mathias Seuret, Michele Alberti, Marcus Liwicki, Rolf Ingold:
PCA-Initialized Deep Neural Networks Applied to Document Image Analysis. ICDAR 2017: 877-882 - [c127]Muhammad Zeshan Afzal, Andreas Kölsch, Sheraz Ahmed, Marcus Liwicki:
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification. ICDAR 2017: 883-888 - [c126]Andreas Kölsch, Muhammad Zeshan Afzal, Markus Ebbecke, Marcus Liwicki:
Real-Time Document Image Classification Using Deep CNN and Extreme Learning Machines. ICDAR 2017: 1318-1323 - [c125]Fotini Simistira, Manuel Bouillon, Mathias Seuret, Marcel Würsch, Michele Alberti, Rolf Ingold, Marcus Liwicki:
ICDAR2017 Competition on Layout Analysis for Challenging Medieval Manuscripts. ICDAR 2017: 1361-1370 - [c124]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 - [i15]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) - [i14]Mathias Seuret, Michele Alberti, Rolf Ingold, Marcus Liwicki:
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis. CoRR abs/1702.00177 (2017) - [i13]Michele Alberti, Mathias Seuret, Rolf Ingold, Marcus Liwicki:
What You Expect is NOT What You Get! Questioning Reconstruction/Classification Correlation of Stacked Convolutional Auto-Encoder Features. CoRR abs/1703.04332 (2017) - [i12]Andreas Kölsch, Muhammad Zeshan Afzal, Marcus Liwicki:
Multilevel Context Representation for Improving Object Recognition. CoRR abs/1703.06408 (2017) - [i11]Ayushman Dash, John Cristian Borges Gamboa, Sheraz Ahmed, Marcus Liwicki, Muhammad Zeshan Afzal:
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network. CoRR abs/1703.06412 (2017) - [i10]Muhammad Zeshan Afzal, Andreas Kölsch, Sheraz Ahmed, Marcus Liwicki:
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification. CoRR abs/1704.03557 (2017) - [i9]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) - [i8]Andreas Kölsch, Muhammad Zeshan Afzal, Markus Ebbecke, Marcus Liwicki:
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines. CoRR abs/1711.05862 (2017) - [i7]Michele Alberti, Manuel Bouillon, Rolf Ingold, Marcus Liwicki:
Open Evaluation Tool for Layout Analysis of Document Images. CoRR abs/1712.01656 (2017) - 2016
- [j19]Sebastian Otte, Martin V. Butz, Danil Koryakin, Fabian Becker, Marcus Liwicki, Andreas Zell:
Optimizing recurrent reservoirs with neuro-evolution. Neurocomputing 192: 128-138 (2016) - [c123]Joan Pastor-Pellicer, Muhammad Zeshan Afzal, Marcus Liwicki, María José Castro Bleda:
Complete System for Text Line Extraction Using Convolutional Neural Networks and Watershed Transform. DAS 2016: 30-35 - [c122]Marcel Würsch, Rolf Ingold, Marcus Liwicki:
SDK Reinvented: Document Image Analysis Methods as RESTful Web Services. DAS 2016: 90-95 - [c121]Kai Chen, Cheng-Lin Liu, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Rolf Ingold:
Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning. DAS 2016: 299-304 - [c120]Marcel Würsch, Michael Bärtschi, Rolf Ingold, Marcus Liwicki:
DIVAServices-Spotlight - Experimenting with Document Image Analysis Methods in the Web. DH 2016: 414-417 - [c119]Federico Raue, Sebastian Palacio, Thomas M. Breuel, Wonmin Byeon, Andreas Dengel, Marcus Liwicki:
Symbolic Association Using Parallel Multilayer Perceptron. ICANN (2) 2016: 347-354 - [c118]Kai Chen, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Cheng-Lin Liu, Rolf Ingold:
Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields. ICFHR 2016: 90-95 - [c117]Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Thomas M. Breuel, Andreas Dengel:
KPTI: Katib's Pashto Text Imagebase and Deep Learning Benchmark. ICFHR 2016: 453-458 - [c116]Mathias Seuret, Rolf Ingold, Marcus Liwicki:
N-Light-N: A Highly-Adaptable Java Library for Document Analysis with Convolutional Auto-Encoders and Related Architectures. ICFHR 2016: 459-464 - [c115]Fotini Simistira, Mathias Seuret, Nicole Eichenberger, Angelika Garz, Marcus Liwicki, Rolf Ingold:
DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts. ICFHR 2016: 471-476 - [p2]Marcus Liwicki, Volkmar Frinken, Muhammad Zeshan Afzal:
Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis. Handbook of Pattern Recognition and Computer Vision 2016: 293-311 - [i6]Sheraz Ahmed, Muhammad Imran Malik, Muhammad Zeshan Afzal, Koichi Kise, Masakazu Iwamura, Andreas Dengel, Marcus Liwicki:
A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents. CoRR abs/1605.01189 (2016) - [i5]Anguelos Nicolaou, Marcus Liwicki:
Redefining Binarization and the Visual Archetype. CoRR abs/1609.09451 (2016) - 2015
- [j18]Koichi Kise, Shinichiro Omachi, Seiichi Uchida, Masakazu Iwamura, Marcus Liwicki:
Data Embedding into Characters. IEICE Trans. Inf. Syst. 98-D(1): 10-20 (2015) - [j17]Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel:
Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging. Pattern Recognit. Lett. 63: 23-29 (2015) - [c114]Ayano Okoso, Takumi Toyama, Kai Kunze, Joachim Folz, Marcus Liwicki, Koichi Kise:
Towards Extraction of Subjective Reading Incomprehension: Analysis of Eye Gaze Features. CHI Extended Abstracts 2015: 1325-1330 - [c113]Wonmin Byeon, Thomas M. Breuel, Federico Raue, Marcus Liwicki:
Scene labeling with LSTM recurrent neural networks. CVPR 2015: 3547-3555 - [c112]Kai Chen, Mathias Seuret, Hao Wei, Marcus Liwicki, Jean Hennebert, Rolf Ingold:
Ground truth model, tool, and dataset for layout analysis of historical documents. DRR 2015: 940204 - [c111]Sebastian Otte, Fabian Becker, Martin V. Butz, Marcus Liwicki, Andreas Zell:
Learning Recurrent Dynamics using Differential Evolution. ESANN 2015 - [c110]Sebastian Otte, Stefan Laible, Richard Hanten, Marcus Liwicki, Andreas Zell:
Robust Visual Terrain Classification with Recurrent Neural Networks. ESANN 2015 - [c109]Zeynep Tuncer, Mohamed Selim, Marcus Liwicki, Georg Kormann:
Evaluation of Multi-Touch Gestures. GIL Jahrestagung 2015: 189-192 - [c108]Johannes Bayer, Syed Saqib Bukhari, Christoph Langenhan, Marcus Liwicki, Klaus-Dieter Althoff, Frank Petzold, Andreas Dengel:
Migrating the Classical Pen-and-Paper Based Conceptual Sketching of Architecture Plans Towards Computer Tools - Prototype Design and Evaluation. GREC 2015: 47-59 - [c107]Kai Kunze, Katsutoshi Masai, Masahiko Inami, Ömer Sacakli, Marcus Liwicki, Andreas Dengel, Shoya Ishimaru, Koichi Kise:
Quantifying reading habits: counting how many words you read. UbiComp 2015: 87-96 - [c106]Mizuki Matsubara, Joachim Folz, Takumi Toyama, Marcus Liwicki, Andreas Dengel, Koichi Kise:
Extraction of read text using a wearable eye tracker for automatic video annotation. UbiComp/ISWC Adjunct 2015: 849-854 - [c105]Mayce Ibrahim Ali Al Azawi, Marcus Liwicki, Thomas M. Breuel:
Combination of multiple aligned recognition outputs using WFST and LSTM. ICDAR 2015: 31-35 - [c104]Hao Wei, Mathias Seuret, Kai Chen, Andreas Fischer, Marcus Liwicki, Rolf Ingold:
Selecting Autoencoder Features for Layout Analysis of Historical Documents. HIP@ICDAR 2015: 55-62 - [c103]Muhammad Zeshan Afzal, Joan Pastor-Pellicer, Faisal Shafait, Thomas M. Breuel, Andreas Dengel, Marcus Liwicki:
Document Image Binarization using LSTM: A Sequence Learning Approach. HIP@ICDAR 2015: 79-84 - [c102]