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ORCIDMarcus Liwicki
Marcus Eichenberger-Liwicki
Person information
- 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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Books and Theses
- 2008
[b1]Marcus Liwicki, Horst Bunke:
Recognition of Whiteboard Notes - Online, Offline and Combination. Series in Machine Perception and Artificial Intelligence 71, WorldScientific 2008, ISBN 978-981-281-453-1, pp. 1-228
Journal Articles
- 2023
- [j45]Saleha Javed
, Muhammad Usman, Fredrik Sandin, Marcus Liwicki, Hamam Mokayed:
Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT. Sensors 23(20): 8427 (2023) - 2022
- [j44]Danish Nazir, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion. IEEE Access 10: 120781-120791 (2022) - [j43]György Kovács, Pedro Alonso, Rajkumar Saini, Marcus Liwicki:
Leveraging external resources for offensive content detection in social media. AI Commun. 35(2): 87-109 (2022) - [j42]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks. Open Comput. Sci. 12(1): 134-141 (2022) - [j41]Goutham Kallempudi, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Toward Semi-Supervised Graphical Object Detection in Document Images. Future Internet 14(6): 176 (2022) - [j40]Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed, Marcus Liwicki:
A survey of historical document image datasets. Int. J. Document Anal. Recognit. 25(4): 305-338 (2022) - [j39]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
State-of-the-Art in Open-Domain Conversational AI: A Survey. Inf. 13(6): 298 (2022) - [j38]Muhammad Saif Ullah Khan, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Three-Dimensional Reconstruction from a Single RGB Image Using Deep Learning: A Review. J. Imaging 8(9): 225 (2022) - [j37]Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments. Sensors 22(10): 3703 (2022) - [j36]Muhammad Ahmed Ullah Khan, Danish Nazir, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
A Comprehensive Survey of Depth Completion Approaches. Sensors 22(18): 6969 (2022) - [j35]Shishir Muralidhara, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
Attention-Guided Disentangled Feature Aggregation for Video Object Detection. Sensors 22(21): 8583 (2022) - [j34]Prateek Keserwani, Rajkumar Saini, Marcus Liwicki, Partha Pratim Roy:
Robust Scene Text Detection for Partially Annotated Training Data. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8635-8645 (2022) - 2021
- [j33]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) - [j32]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) - [j31]Hamam Mokayed, Palaiahnakote Shivakumara, Rajkumar Saini, Marcus Liwicki, Loo Chee Hin, Umapada Pal:
Anomaly Detection in Natural Scene Images Based on Enhanced Fine-Grained Saliency and Fuzzy Logic. IEEE Access 9: 129102-129109 (2021) - [j30]Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous Convolution. J. Imaging 7(10): 214 (2021) - [j29]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) - [j28]Danish Nazir, Muhammad Zeshan Afzal, Alain Pagani, Marcus Liwicki, Didier Stricker:
Contrastive Learning for 3D Point Clouds Classification and Shape Completion. Sensors 21(21): 7392 (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) - 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) - 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) - 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) - 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) - 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) - 2014
- [j16]Lluís-Pere de las Heras, Sheraz Ahmed, Marcus Liwicki, Ernest Valveny, Gemma Sánchez:
Statistical segmentation and structural recognition for floor plan interpretation - Notation invariant structural element recognition. Int. J. Document Anal. Recognit. 17(3): 221-237 (2014) - [j15]Sheraz Ahmed, Markus Weber, Marcus Liwicki, Christoph Langenhan, Andreas Dengel, Frank Petzold:
Automatic analysis and sketch-based retrieval of architectural floor plans. Pattern Recognit. Lett. 35: 91-100 (2014) - [j14]Marcus Liwicki, Sebastian Ebert, Andreas Dengel:
Bridging the gap between handwriting recognition and knowledge management. Pattern Recognit. Lett. 35: 204-213 (2014) - [j13]Marcus Liwicki, Seiichi Uchida, Akira Yoshida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
More than ink - Realization of a data-embedding pen. Pattern Recognit. Lett. 35: 246-255 (2014) - 2013
- [j12]Christoph Langenhan, Markus Weber, Marcus Liwicki, Frank Petzold, Andreas Dengel:
Graph-based retrieval of building information models for supporting the early design stages. Adv. Eng. Informatics 27(4): 413-426 (2013) - [j11]Song Wang, Seiichi Uchida, Marcus Liwicki, Yaokai Feng:
Part-based methods for handwritten digit recognition. Frontiers Comput. Sci. 7(4): 514-525 (2013) - [j10]Marianela Parodi, Juan Carlos Gómez, Marcus Liwicki, Linda Alewijnse:
Orthogonal function representation for online signature verification: which features should be looked at? IET Biom. 2(4): 137-150 (2013) - 2012
- [j9]Andreas Dengel, Marcus Liwicki:
Semantic E-Ink: Knowledge-Based Assistance for Making Mental Models Explicit. Int. J. Pattern Recognit. Artif. Intell. 26(5) (2012) - [j8]Markus Weber, Marcus Liwicki, Andreas Dengel:
Faster subgraph isomorphism detection by well-founded total order indexing. Pattern Recognit. Lett. 33(15): 2011-2019 (2012) - 2011
- [j7]Marcus Liwicki, Horst Bunke, James A. Pittman, Stefan Knerr:
Combining diverse systems for handwritten text line recognition. Mach. Vis. Appl. 22(1): 39-51 (2011) - [j6]Marcus Liwicki, Andreas Schlapbach, Horst Bunke:
Automatic gender detection using on-line and off-line information. Pattern Anal. Appl. 14(1): 87-92 (2011) - 2009
- [j5]Marcus Liwicki, Horst Bunke:
Feature Selection for HMM and BLSTM Based Handwriting Recognition of Whiteboard Notes. Int. J. Pattern Recognit. Artif. Intell. 23(5): 907-923 (2009) - [j4]Alex Graves, Marcus Liwicki, Santiago Fernández, Roman Bertolami, Horst Bunke, Jürgen Schmidhuber:
A Novel Connectionist System for Unconstrained Handwriting Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(5): 855-868 (2009) - [j3]Marcus Liwicki, Horst Bunke:
Combining diverse on-line and off-line systems for handwritten text line recognition. Pattern Recognit. 42(12): 3254-3263 (2009) - 2008
- [j2]Andreas Schlapbach, Marcus Liwicki, Horst Bunke:
A writer identification system for on-line whiteboard data. Pattern Recognit. 41(7): 2381-2397 (2008) - 2007
- [j1]Marcus Liwicki, Horst Bunke:
Handwriting Recognition of Whiteboard Notes - Studying the Influence of Training Set Size and Type. Int. J. Pattern Recognit. Artif. Intell. 21(1): 83-98 (2007)
Conference and Workshop Papers
- 2024
- [c199]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. NLDL 2024: 212-219 - 2023
- [c198]Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki:
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? ICCV (Workshops) 2023: 4469-4478 - [c197]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal:
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer. ICDAR (2) 2023: 51-76 - [c196]Ayush Roy, Palaiahnakote Shivakumara, Umapada Pal, Hamam Mokayed, Marcus Liwicki:
Fourier Feature-based CBAM and Vision Transformer for Text Detection in Drone Images. ICDAR Workshops (2) 2023: 257-271 - [c195]Konstantina Nikolaidou, George Retsinas, Vincent Christlein, Mathias Seuret, Giorgos Sfikas, Elisa Barney Smith, Hamam Mokayed, Marcus Liwicki:
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models. ICDAR (2) 2023: 384-401 - [c194]Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Functional Knowledge Transfer with Self-supervised Representation Learning. ICIP 2023: 3339-3343 - [c193]Tosin P. Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo, Bukola Peters, Happy Buzaaba, Oyerinde Samuel, Amina Mardiyyah Rufai, Benjamin Ajibade, Tajudeen Gwadabe, Mory Moussou Koulibaly Traore, Tunde Oluwaseyi Ajayi, Shamsuddeen Hassan Muhammad, Ahmed Baruwa, Paul Owoicho, Tolúlopé Ògúnrèmí, Phylis Ngigi, Orevaoghene Ahia, Ruqayya Nasir, Foteini Liwicki, Marcus Liwicki:
AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages. IJCNN 2023: 1-8 - [c192]Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki:
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery. IJCNN 2023: 1-8 - [c191]Ekta Gupta, Varun Gupta, Muskaan Chopra, Prakash Chandra Chhipa, Marcus Liwicki:
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images. IJCNN 2023: 1-7 - [c190]Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Multi-Task Meta Learning: learn how to adapt to unseen tasks. IJCNN 2023: 1-10 - [c189]Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. NLDL 2023 - [c188]Tosin P. Adewumi, Isabella Södergren, Lama Alkhaled, Sana Sabah Al-Azzawi, Foteini Simistira Liwicki, Marcus Liwicki:
Bipol: Multi-Axes Evaluation of Bias with Explainability in Benchmark Datasets. RANLP 2023: 1-10 - [c187]Peyman Hosseini, Mehran Hosseini, Sana Sabah Al-Azzawi, Marcus Liwicki, Ignacio Castro, Matthew Purver:
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction. SemEval@ACL 2023: 1329-1334 - [c186]Sana Sabah Al-Azzawi, György Kovács, Filip Nilsson, Tosin P. Adewumi, Marcus Liwicki:
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset. SemEval@ACL 2023: 1421-1427 - [c185]Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. WACV 2023: 2716-2726 - 2022
- [c184]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Exploring Swedish and English fast Text Embeddings. AIC 2022: 201-208 - [c183]Konstantina Nikolaidou, Richa Upadhyay, Mathias Seuret, Marcus Liwicki:
Investigating the Effect of Using Synthetic and Semi-synthetic Images for Historical Document Font Classification. DAS 2022: 613-626 - [c182]Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki:
Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification. ECCV Workshops (7) 2022: 212-227 - [c181]Saleha Javed, Salman Javed, Jan van Deventer, Fredrik Sandin, Jerker Delsing, Marcus Liwicki, Sergio Martin del Campo:
Cloud-based Collaborative Learning (CCL) for the Automated Condition Monitoring of Wind Farms. ICPS 2022: 1-8 - [c180]Sana Sabah Sabry, Tosin P. Adewumi, Nosheen Abid, György Kovács, Foteini Liwicki, Marcus Liwicki:
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer. IJCNN 2022: 1-7 - [c179]Tosin P. Adewumi, Roshanak Vadoodi, Aparajita Tripathy, Konstantina Nikolaidou, Foteini Liwicki, Marcus Liwicki:
Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms. LREC 2022: 689-696 - [c178]Tosin P. Adewumi, Rickard Brännvall, Nosheen Abid, Maryam Pahlavan, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki:
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning. NLDL 2022 - [c177]Tosin P. Adewumi, Lama Alkhaled, Hamam Mokayed, Foteini Liwicki, Marcus Liwicki:
ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language. SemEval@NAACL 2022: 473-478 - 2021
- [c176]Nosheen Abid, Muhammad Imran Malik, Muhammad Shahzad, Faisal Shafait, Haider Ali, Muhammad Mohsin Ghaffar, Christian Weis, Norbert Wehn, Marcus Liwicki:
Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning. DICTA 2021: 1-8 - [c175]Aya Rizk, Cathrine F. Seidelin, György Kovács, Marcus Liwicki, Rickard Brännvall:
Defining Beneficiaries of Emerging Data Infrastructures Towards Effective Data Appropriation - Insights from the Swedish Space Data Lab. ICIST 2021: 32-47 - [c174]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 - [c173]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. IJCNN 2021: 1-9 - [c172]Rajkumar Saini, Sameer Prabhu, Richa Upadhyay, Sumit Rakesh, Prakash Chandra Chhipa, Hamam Mokayed, Marcus Liwicki, Foteini Liwicki:
Imagined Object Recognition Using EEG-Based Neurological Brain Signals. RTIP2R 2021: 305-319 - [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 - 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 - 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 - 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 - 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 - 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 - 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]Mathias Seuret, Andreas Fischer, Angelika Garz, Marcus Liwicki, Rolf Ingold:
Clustering Historical Documents Based on the Reconstruction Error of Autoencoders. HIP@ICDAR 2015: 85-91 - [c101]Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki:
Parallel sequence classification using recurrent neural networks and alignment. ICDAR 2015: 581-585 - [c100]Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas:
Sparse radial sampling LBP for writer identification. ICDAR 2015: 716-720 - [c99]Fotini Simistira, Adnan Ul-Hassan, Vassilis Papavassiliou, Basilis Gatos, Vassilis Katsouros, Marcus Liwicki:
Recognition of historical Greek polytonic scripts using LSTM networks. ICDAR 2015: 766-770 - [c98]Adnan Ul-Hasan, Faisal Shafait, Marcus Liwicki:
Curriculum learning for printed text line recognition of ligature-based scripts. ICDAR 2015: 1001-1005 - [c97]Mathias Seuret, Kai Chen, Nicole Eichenberger, Marcus Liwicki, Rolf Ingold:
Gradient-domain degradations for improving historical documents images layout analysis. ICDAR 2015: 1006-1010 - [c96]Kai Chen, Mathias Seuret, Marcus Liwicki, Jean Hennebert, Rolf Ingold:
Page segmentation of historical document images with convolutional autoencoders. ICDAR 2015: 1011-1015 - [c95]Adnan Ul-Hasan, Muhammad Zeshan Afzal, Faisal Shafait, Marcus Liwicki, Thomas M. Breuel:
A sequence learning approach for multiple script identification. ICDAR 2015: 1046-1050 - [c94]Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Thomas M. Breuel:
Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network. ICDAR 2015: 1101-1105 - [c93]Muhammad Zeshan Afzal, Samuele Capobianco, Muhammad Imran Malik, Simone Marinai, Thomas M. Breuel, Andreas Dengel, Marcus Liwicki:
Deepdocclassifier: Document classification with deep Convolutional Neural Network. ICDAR 2015: 1111-1115 - [c92]Muhammad Imran Malik, Sheraz Ahmed, Angelo Marcelli, Umapada Pal, Michael Blumenstein, Linda Alewijnse, Marcus Liwicki:
ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015). ICDAR 2015: 1186-1190 - [c91]Riaz Ahmad, Muhammad Zeshan Afzal, Sheikh Faisal Rashid, Marcus Liwicki, Andreas Dengel, Thomas M. Breuel:
Recognizable units in Pashto language for OCR. ICDAR 2015: 1246-1250 - [c90]Sebastian Otte, Andreas Zell, Marcus Liwicki:
An analysis of Dynamic Cortex Memory networks. IJCNN 2015: 1-8 - [c89]Federico Raue, Wonmin Byeon, Thomas M. Breuel, Marcus Liwicki:
Symbol Grounding in Multimodal Sequences using Recurrent Neural Networks. CoCo@NIPS 2015 - [c88]Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber:
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. NIPS 2015: 2998-3006 - 2014
- [c87]Andreas Fischer, Micheal Baechler, Angelika Garz, Marcus Liwicki, Rolf Ingold:
A Combined System for Text Line Extraction and Handwriting Recognition in Historical Documents. Document Analysis Systems 2014: 71-75 - [c86]Anguelos Nicolaou, Fouad Slimane, Volker Märgner, Marcus Liwicki:
Local Binary Patterns for Arabic Optical Font Recognition. Document Analysis Systems 2014: 76-80 - [c85]Sebastian Otte, Marcus Liwicki, Andreas Zell:
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning. ICANN 2014: 1-8 - [c84]Hao Wei, Kai Chen, Rolf Ingold, Marcus Liwicki:
Hybrid Feature Selection for Historical Document Layout Analysis. ICFHR 2014: 87-92 - [c83]Mathias Seuret, Marcus Liwicki, Rolf Ingold:
Pixel Level Handwritten and Printed Content Discrimination in Scanned Documents. ICFHR 2014: 423-428 - [c82]Kai Chen, Hao Wei, Jean Hennebert, Rolf Ingold, Marcus Liwicki:
Page Segmentation for Historical Handwritten Document Images Using Color and Texture Features. ICFHR 2014: 488-493 - [c81]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel, Seiichi Uchida, Volkmar Frinken:
Automatic Signature Stability Analysis and Verification Using Local Features. ICFHR 2014: 621-626 - [c80]Erika Griechisch, Muhammad Imran Malik, Marcus Liwicki:
Online Signature Verification Based on Kolmogorov-Smirnov Distribution Distance. ICFHR 2014: 738-742 - [c79]Mayce Ibrahim Ali Al Azawi, Adnan Ul-Hasan, Marcus Liwicki, Thomas M. Breuel:
Character-Level Alignment Using WFST and LSTM for Post-processing in Multi-script Recognition Systems - A Comparative Study. ICIAR (1) 2014: 379-386 - [c78]Wonmin Byeon, Marcus Liwicki, Thomas M. Breuel:
Texture Classification Using 2D LSTM Networks. ICPR 2014: 1144-1149 - [c77]Kai Chen, Hao Wei, Marcus Liwicki, Jean Hennebert, Rolf Ingold:
Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture. ICPR 2014: 2978-2983 - [c76]Markus Weber, Marcus Liwicki, Didier Stricker, Christopher Schoelzel, Seiichi Uchida:
LSTM-Based Early Recognition of Motion Patterns. ICPR 2014: 3552-3557 - [c75]Hao Wei, Kai Chen, Anguelos Nicolaou, Marcus Liwicki, Rolf Ingold:
Investigation of feature selection for historical document layout analysis. IPTA 2014: 215-220 - [c74]Sebastian Otte, Marcus Liwicki, Dirk Krechel:
Investigating Long Short-Term Memory Networks for Various Pattern Recognition Problems. MLDM 2014: 484-497 - [c73]Seyed Ali Bahrainian, Marcus Liwicki, Andreas Dengel:
Fuzzy Subjective Sentiment Phrases: A Context Sensitive and Self-Maintaining Sentiment Lexicon. WI-IAT (2) 2014: 361-368 - 2013
- [c72]Mayce Ibrahim Ali Al Azawi, Marcus Liwicki, Thomas M. Breuel:
WFST-based ground truth alignment for difficult historical documents with text modification and layout variations. DRR 2013: 865818 - [c71]Anguelos Nicolaou, Rolf Ingold, Marcus Liwicki:
Binarization with the Local Otsu Filter - Integral Histograms for Document Image Analysis. GREC 2013: 176-190 - [c70]Max Feltes, Sheraz Ahmed, Andreas Dengel, Marcus Liwicki:
Improved Contour-Based Corner Detection for Architectural Floor Plans. GREC 2013: 191-203 - [c69]Anguelos Nicolaou, Marcus Liwicki, Rolf Ingold:
Oriented Local Binary Patterns for Writer Identification. AFHA 2013: 15-20 - [c68]Song Wang, Seiichi Uchida, Marcus Liwicki:
Part-Based Recognition of Arbitrary Fonts. ICDAR 2013: 170-174 - [c67]Erika Griechisch, Muhammad Imran Malik, Marcus Liwicki:
Online Signature Analysis Based on Accelerometric and Gyroscopic Pens and Legendre Series. ICDAR 2013: 374-378 - [c66]Sheraz Ahmed, Koichi Kise, Masakazu Iwamura, Marcus Liwicki, Andreas Dengel:
Automatic Ground Truth Generation of Camera Captured Documents Using Document Image Retrieval. ICDAR 2013: 528-532 - [c65]Kristin Stamm, Marcus Liwicki, Andreas Dengel:
Continuous Partial-Order Planning for Multichannel Document Analysis: A Process-Driven Approach. ICDAR 2013: 626-630 - [c64]Sheraz Ahmed, Faisal Shafait, Marcus Liwicki, Andreas Dengel:
A Generic Method for Stamp Segmentation Using Part-Based Features. ICDAR 2013: 708-712 - [c63]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel:
Part-Based Automatic System in Comparison to Human Experts for Forensic Signature Verification. ICDAR 2013: 872-876 - [c62]Muhammad Imran Malik, Sheraz Ahmed, Marcus Liwicki, Andreas Dengel:
FREAK for Real Time Forensic Signature Verification. ICDAR 2013: 971-975 - [c61]Micheal Baechler, Marcus Liwicki, Rolf Ingold:
Text Line Extraction Using DMLP Classifiers for Historical Manuscripts. ICDAR 2013: 1029-1033 - [c60]Muhammad Imran Malik, Marcus Liwicki, Linda Alewijnse, Wataru Ohyama, Michael Blumenstein, Bryan Found:
ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013). ICDAR 2013: 1477-1483 - [c59]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel:
Local Features for Forensic Signature Verification. ICIAP Workshops 2013: 103-111 - [c58]Sebastian Otte, Marcus Liwicki, Dirk Krechel:
Investigating Long Short-Term Memory Networks for various Pattern Recognition Prolems. MLDM Posters 2013: 20-33 - [c57]Sebastian Otte, Dirk Krechel, Marcus Liwicki:
JANNLab Neural Network Framework for Java. MLDM Posters 2013: 39-46 - 2012
- [c56]Christian Schulze, Marcus Liwicki:
Optimized SIFT Feature Matching for Image Retrieval. Adaptive Multimedia Retrieval 2012: 102-115 - [c55]Marcus Liwicki, Björn Forcher, Philipp Jaeger, Andreas Dengel:
Koios++: A Query-Answering System for Handwritten Input. Document Analysis Systems 2012: 17-21 - [c54]Wang Song, Seiichi Uchida, Marcus Liwicki:
Toward Part-Based Document Image Decoding. Document Analysis Systems 2012: 266-270 - [c53]Sheraz Ahmed, Marcus Liwicki, Markus Weber, Andreas Dengel:
Automatic Room Detection and Room Labeling from Architectural Floor Plans. Document Analysis Systems 2012: 339-343 - [c52]Sheraz Ahmed, Marcus Liwicki, Andreas Dengel:
Extraction of Text Touching Graphics Using SURF. Document Analysis Systems 2012: 349-353 - [c51]Marcus Liwicki, Markus Weber, Tobias Zimmermann, Andreas Dengel:
Seamless Integration of Handwriting Recognition into Pen-Enabled Displays for Fast User Interaction. Document Analysis Systems 2012: 364-368 - [c50]Muhammad Imran Malik, Sheraz Ahmed, Andreas Dengel, Marcus Liwicki:
A Signature Verification Framework for Digital Pen Applications. Document Analysis Systems 2012: 419-423 - [c49]Marianela Parodi, Juan Carlos Gómez, Marcus Liwicki:
Online Signature Verification Based on Legendre Series Representation: Robustness Assessment of Different Feature Combinations. ICFHR 2012: 379-384 - [c48]Sheraz Ahmed, Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel:
Signature Segmentation from Document Images. ICFHR 2012: 425-429 - [c47]Sebastian Otte, Dirk Krechel, Marcus Liwicki, Andreas Dengel:
Local Feature Based Online Mode Detection with Recurrent Neural Networks. ICFHR 2012: 533-537 - [c46]Muhammad Imran Malik, Marcus Liwicki:
From Terminology to Evaluation: Performance Assessment of Automatic Signature Verification Systems. ICFHR 2012: 613-618 - [c45]Marcus Liwicki, Muhammad Imran Malik, Linda Alewijnse, C. Elisa van den Heuvel, Bryan Found:
ICFHR 2012 Competition on Automatic Forensic Signature Verification (4NsigComp 2012). ICFHR 2012: 823-828 - [c44]Markus Weber, Gabriele Bleser, Marcus Liwicki, Didier Stricker:
Unsupervised motion pattern learning for motion segmentation. ICPR 2012: 202-205 - [c43]Song Wang, Seiichi Uchida, Marcus Liwicki:
Part-based method on handwritten texts. ICPR 2012: 339-342 - [c42]Tobias Zimmermann, Markus Weber, Marcus Liwicki, Didier Stricker:
CoVidA: pen-based collaborative video annotation. VIGTA@AVI 2012: 10 - 2011
- [c41]Markus Weber, Marcus Liwicki, Andreas Dengel:
Indexing with Well-Founded Total Order for Faster Subgraph Isomorphism Detection. GbRPR 2011: 185-194 - [c40]Markus Weber, Christoph Langenhan, Thomas Roth-Berghofer, Marcus Liwicki, Andreas Dengel, Frank Petzold:
Fast Subgraph Isomorphism Detection for Graph-Based Retrieval. ICCBR 2011: 319-333 - [c39]Muhammad Imran Malik, Marcus Liwicki, Andreas Dengel:
Evaluation of Local and Global Features for Offline Signature Verification. AFHA 2011: 26-30 - [c38]Sheraz Ahmed, Markus Weber, Marcus Liwicki, Andreas Dengel:
Text/Graphics Segmentation in Architectural Floor Plans. ICDAR 2011: 734-738 - [c37]Wang Song, Seiichi Uchida, Marcus Liwicki:
Look Inside the World of Parts of Handwritten Characters. ICDAR 2011: 784-788 - [c36]Wang Song, Seiichi Uchida, Marcus Liwicki:
Comparative Study of Part-Based Handwritten Character Recognition Methods. ICDAR 2011: 814-818 - [c35]Sheraz Ahmed, Marcus Liwicki, Markus Weber, Andreas Dengel:
Improved Automatic Analysis of Architectural Floor Plans. ICDAR 2011: 864-869 - [c34]Markus Weber, Marcus Liwicki, Yannik T. H. Schelske, Christopher Schoelzel, Florian Strauß, Andreas Dengel:
MCS for Online Mode Detection: Evaluation on Pen-Enabled Multi-touch Interfaces. ICDAR 2011: 957-961 - [c33]Marcus Liwicki, Akira Yoshida, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Reliable Online Stroke Recovery from Offline Data with the Data-Embedding Pen. ICDAR 2011: 1384-1388 - [c32]Marcus Liwicki, Muhammad Imran Malik, C. Elisa van den Heuvel, Xiaohong Chen, Charles E. H. Berger, Reinoud Stoel, Michael Blumenstein, Bryan Found:
Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011). ICDAR 2011: 1480-1484 - [c31]Daniel Sonntag, Marcus Liwicki, Markus Weber:
Digital pen in mammography patient forms. ICMI 2011: 303-306 - [c30]Daniel Sonntag, Marcus Liwicki, Markus Weber:
Interactive paper for radiology findings. IUI 2011: 459-460 - [c29]Marcus Liwicki, Sandra Thieme, Gerrit Kahl, Andreas Dengel:
An Intelligent Shopping List - Combining Digital Paper with Product Ontologies. KES (4) 2011: 187-194 - [c28]Akira Yoshida, Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Handwriting on Paper as a Cybermedium. KES (4) 2011: 204-211 - [c27]Marcus Liwicki, Sebastian Ebert, Andreas Dengel:
From Handwriting Recognition to Ontologie-Based Information Extraction of Handwritten Notes. KES (4) 2011: 222-231 - [c26]Andreas Dengel, Marcus Liwicki, Markus Weber:
Touch & Write: Penabled Collaborative Intelligence. KTW 2011: 1-10 - 2010
- [c25]Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Data-embedding pen: augmenting ink strokes with meta-information. Document Analysis Systems 2010: 43-52 - [c24]Emanuel Indermühle, Marcus Liwicki, Horst Bunke:
IAMonDo-database: an online handwritten document database with non-uniform contents. Document Analysis Systems 2010: 97-104 - [c23]Marcus Liwicki, Hassan Mohamed Abou Eisha, Andreas Dengel:
Improving handwriting recognition by the use of semantic information. Document Analysis Systems 2010: 441-446 - [c22]Marcus Liwicki, Oleg Rostanin, Saher Mohamed El-Neklawy, Andreas Dengel:
Touch & Write: a multi-touch table with pen-input. Document Analysis Systems 2010: 479-484 - [c21]Markus Weber, Christoph Langenhan, Thomas Roth-Berghofer, Marcus Liwicki, Andreas Dengel, Frank Petzold:
a.SCatch: Semantic Structure for Architectural Floor Plan Retrieval. ICCBR 2010: 510-524 - [c20]Marcus Liwicki, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise:
Embedding Meta-Information in Handwriting -- Reed-Solomon for Reliable Error Correction. ICFHR 2010: 51-56 - [c19]Markus Weber, Marcus Liwicki, Andreas Dengel:
a.SCAtch - A Sketch-Based Retrieval for Architectural Floor Plans. ICFHR 2010: 289-294 - [c18]Sebastian Ebert, Marcus Liwicki, Andreas Dengel:
Ontology-Based Information Extraction from Handwritten Documents. ICFHR 2010: 483-488 - [c17]Seiichi Uchida, Marcus Liwicki:
Part-Based Recognition of Handwritten Characters. ICFHR 2010: 545-550 - [c16]Marcus Liwicki, C. Elisa van den Heuvel, Bryan Found, Muhammad Imran Malik:
Forensic Signature Verification Competition 4NSigComp2010 - Detection of Simulated and Disguised Signatures. ICFHR 2010: 715-720 - [c15]Seiichi Uchida, Marcus Liwicki:
Analysis of Local Features for Handwritten Character Recognition. ICPR 2010: 1945-1948 - 2009
- [c14]Markus Wüthrich, Marcus Liwicki, Andreas Fischer, Emanuel Indermühle, Horst Bunke, Gabriel Viehhauser, Michael Stolz:
Language Model Integration for the Recognition of Handwritten Medieval Documents. ICDAR 2009: 211-215 - [c13]Emanuel Indermühle, Marcus Liwicki, Horst Bunke:
Combining Alignment Results for Historical Handwritten Document Analysis. ICDAR 2009: 1186-1190 - [c12]Marcus Liwicki, Markus Weber, Andreas Dengel:
Automatic Recognition and Interpretation of Pen- and Paper-Based Document Annotations. KI 2009: 581-588 - [c11]Kinga Schumacher, Marcus Liwicki, Andreas Dengel:
A Paper-based Technology for Personal Knowledge Management. Wissensmanagement 2009: 289-298 - 2008
- [c10]Marcus Liwicki, Andreas Schlapbach, Horst Bunke:
Writer-Dependent Recognition of Handwritten Whiteboard Notes in Smart Meeting Room Environments. Document Analysis Systems 2008: 151-157 - 2007
- [c9]Marcus Liwicki, Horst Bunke:
Combining On-Line and Off-Line Systems for Handwriting Recognition. ICDAR 2007: 372-376 - [c8]Marcus Liwicki, Emanuel Indermühle, Horst Bunke:
On-Line Handwritten Text Line Detection Using Dynamic Programming. ICDAR 2007: 447-451 - [c7]Alex Graves, Santiago Fernández, Marcus Liwicki, Horst Bunke, Jürgen Schmidhuber:
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks. NIPS 2007: 577-584 - 2006
- [c6]Marcus Liwicki, Andreas Schlapbach, Horst Bunke, Samy Bengio, Johnny Mariéthoz, Jonas Richiardi:
Writer Identification for Smart Meeting Room Systems. Document Analysis Systems 2006: 186-195 - [c5]Marcus Liwicki, Mathias Scherz, Horst Bunke:
Word Extraction from On-Line Handwritten Text Lines. ICPR (2) 2006: 929-933 - [c4]Lars Knipping, Marcus Liwicki:
Chalklets: Developing Applications for a Board Environment. ISM 2006: 907-914 - 2005
- [c3]Marcus Liwicki, Horst Bunke:
Enhancing Training Data for Handwriting Recognition of Whiteboard Notes with Samples from a Different Database. ICDAR 2005: 550-554 - [c2]Marcus Liwicki, Horst Bunke:
IAM-OnDB - an On-Line English Sentence Database Acquired from Handwritten Text on a Whiteboard. ICDAR 2005: 956-961 - [c1]Marcus Liwicki, Lars Knipping:
Recognizing and Simulating Sketched Logic Circuits. KES (3) 2005: 588-594
Parts in Books or Collections
- 2018
- [p3]Vassilis Katsouros, Evita F. 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 - 2016
- [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 - 2012
- [p1]Marcus Liwicki, Alex Graves, Horst Bunke:
Neural Networks for Handwriting Recognition. Computational Intelligence Paradigms in Advanced Pattern Classification 2012: 5-24
Editorship
- 2014
- [e3]Jean-Yves Ramel, Marcus Liwicki, Jean-Marc Ogier, Koichi Kise, Ray Smith:
11th IAPR International Workshop on Document Analysis Systems, DAS 2014, Tours, France, April 7-10, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-3244-3 [contents] - 2013
- [e2]Muhammad Imran Malik, Marcus Liwicki, Linda Alewijnse, Michael Blumenstein, Charles E. H. Berger, Reinoud Stoel, Bryan Found:
Proceedings of the 2nd ICDAR International Workshop on Automated Forensic Handwriting Analysis, AFHA 2013, Washington DC, USA, 22-23 August 2013. CEUR Workshop Proceedings 1022, CEUR-WS.org 2013 [contents] - 2011
- [e1]Marcus Liwicki, Michael Blumenstein, Bryan Found, C. Elisa van den Heuvel, Charles E. H. Berger, Reinoud Stoel:
Proceedings of the 1st International Workshop on Automated Forensic Handwriting Analysis: A Satellite Workshop of ICDAR-2011, Beijing, China, September 17-18, 2011. CEUR Workshop Proceedings 768, CEUR-WS.org 2011 [contents]
Informal and Other Publications
- 2023
- [i74]Tosin P. Adewumi, Isabella Södergren, Lama Alkhaled, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki:
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets. CoRR abs/2301.12139 (2023) - [i73]Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki:
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions. CoRR abs/2302.04032 (2023) - [i72]Peyman Hosseini, Mehran Hosseini, Sana Sabah Al-Azzawi, Marcus Liwicki, Ignacio Castro, Matthew Purver:
Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction. CoRR abs/2303.02468 (2023) - [i71]Konstantina Nikolaidou, George Retsinas, Vincent Christlein, Mathias Seuret, Giorgos Sfikas, Elisa Barney Smith, Hamam Mokayed, Marcus Liwicki:
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models. CoRR abs/2303.16576 (2023) - [i70]Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Functional Knowledge Transfer with Self-supervised Representation Learning. CoRR abs/2304.01354 (2023) - [i69]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. CoRR abs/2304.02265 (2023) - [i68]Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi, Varun Gupta, Marcus Liwicki:
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery. CoRR abs/2304.09874 (2023) - [i67]Ekta Gupta, Varun Gupta, Muskaan Chopra, Prakash Chandra Chhipa, Marcus Liwicki:
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images. CoRR abs/2304.11168 (2023) - [i66]Sana Sabah Al-Azzawi, György Kovács, Filip Nilsson, Tosin P. Adewumi, Marcus Liwicki:
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset. CoRR abs/2304.12847 (2023) - [i65]Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled, Rajkumar Saini, Muhammad Zeshan Afzal, Yan Chai Hum, Marcus Liwicki:
Robust and Fast Vehicle Detection using Augmented Confidence Map. CoRR abs/2304.14462 (2023) - [i64]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal:
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer. CoRR abs/2305.02769 (2023) - [i63]Holly Wilson, Scott Wellington, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Gunnar Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe:
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. CoRR abs/2306.10854 (2023) - [i62]Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki, Muhammad Zeshan Afzal:
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images. CoRR abs/2306.13526 (2023) - [i61]Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki:
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? CoRR abs/2308.02525 (2023) - [i60]Rickard Brännvall, Henrik Forsgren, Fredrik Sandin, Marcus Liwicki:
ReLU and Addition-based Gated RNN. CoRR abs/2308.05629 (2023) - [i59]Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Less is More - Towards parsimonious multi-task models using structured sparsity. CoRR abs/2308.12114 (2023) - 2022
- [i58]Sana Sabah Sabry, Tosin P. Adewumi, Nosheen Abid, György Kovács, Foteini Liwicki, Marcus Liwicki:
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer. CoRR abs/2202.05690 (2022) - [i57]Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki:
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. CoRR abs/2203.07707 (2022) - [i56]Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed, Marcus Liwicki:
A Survey of Historical Document Image Datasets. CoRR abs/2203.08504 (2022) - [i55]Tosin P. Adewumi, Lama Alkhaled, Hamam Alkhaled, Foteini Liwicki, Marcus Liwicki:
ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language. CoRR abs/2204.07432 (2022) - [i54]Tosin P. Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo, Bukola Peters, Happy Buzaaba, Samuel Oyerinde, Amina Mardiyyah Rufai, Benjamin Ajibade, Tajuddeen Gwadabe, Mory Moussou Koulibaly Traore, Tunde Ajayi, Shamsuddeen Hassan Muhammad, Ahmed Baruwa, Paul Owoicho, Tolúlopé Ògúnrèmí, Phylis Ngigi, Orevaoghene Ahia, Ruqayya Nasir, Foteini Liwicki, Marcus Liwicki:
Ìtàkúròso: Exploiting Cross-Lingual Transferability for Natural Language Generation of Dialogues in Low-Resource, African Languages. CoRR abs/2204.08083 (2022) - [i53]Danish Nazir, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal:
SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion. CoRR abs/2204.13635 (2022) - [i52]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
State-of-the-art in Open-domain Conversational AI: A Survey. CoRR abs/2205.00965 (2022) - [i51]Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
Vector Representations of Idioms in Conversational Systems. CoRR abs/2205.03666 (2022) - [i50]Foteini Simistira Liwicki, Richa Upadhyay, Prakash Chandra Chhipa, Killian Murphy, Federico Visi, Stefan Östersjö, Marcus Liwicki:
Deep Neural Network approaches for Analysing Videos of Music Performances. CoRR abs/2205.11232 (2022) - [i49]Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. CoRR abs/2207.02512 (2022) - [i48]Tosin P. Adewumi, Sana Sabah Sabry, Nosheen Abid, Foteini Liwicki, Marcus Liwicki:
T5 for Hate Speech, Augmented Data and Ensemble. CoRR abs/2210.05480 (2022) - [i47]Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Multi-Task Meta Learning: learn how to adapt to unseen tasks. CoRR abs/2210.06989 (2022) - [i46]Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki:
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification. CoRR abs/2210.10633 (2022) - 2021
- [i45]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) - [i44]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) - [i43]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) - [i42]Tosin P. Adewumi, Nosheen Abid, Maryam Pahlavan, Rickard Brännvall, Sana Sabah Sabry, Foteini Liwicki, Marcus Liwicki:
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning. CoRR abs/2110.06273 (2021) - [i41]Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review. CoRR abs/2111.12146 (2021) - [i40]Karl Löwenmark, Cees Taal, Stephan Schnabel, Marcus Liwicki, Fredrik Sandin:
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry. CoRR abs/2112.07356 (2021) - 2020
- [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) - 2019
- [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
- [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
- [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
- [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
- [i4]Anguelos Nicolaou, Andrew D. Bagdanov, Marcus Liwicki, Dimosthenis Karatzas:
Sparse Radial Sampling LBP for Writer Identification. CoRR abs/1504.06133 (2015) - [i3]Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Jürgen Schmidhuber:
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation. CoRR abs/1506.07452 (2015) - [i2]Peter Burkert, Felix Trier, Muhammad Zeshan Afzal, Andreas Dengel, Marcus Liwicki:
DeXpression: Deep Convolutional Neural Network for Expression Recognition. CoRR abs/1509.05371 (2015) - [i1]Federico Raue, Thomas M. Breuel, Andreas Dengel, Marcus Liwicki:
Symbol Grounding Association in Multimodal Sequences with Missing Elements. CoRR abs/1511.04401 (2015)
Coauthor Index
[j22] [j15] [j14] [j12] [j9] [j8] [c149] [c141] [c139] [c138] [c136] [c119] [c117] [c108] [c107] [c106] [c103] [c93] [c91] [c81] [c73] [c70] [c66] [c65] [c64] [c63] [c62] [c59] [c55] [c53] [c52] [c51] [c50] [c48] [c47] [c41] [c40] [c39] [c38] [c35] [c34] [c29] [c27] [c26] [c23] [c22] [c21] [c19] [c18] [c12] [c11] [i6] [i2] [i1]
[j25] [j24] [j23] [j21] [j20] [c166] [c161] [c160] [c159] [c152] [c151] [c150] [c148] [c147] [c146] [c144] [c143] [c142] [c135] [c134] [c133] [c130] [c129] [c128] [c125] [c122] [c121] [c120] [c118] [c116] [c115] [c112] [c104] [c102] [c97] [c96] [c87] [c84] [c83] [c82] [c77] [c75] [c71] [c69] [c61] [i29] [i27] [i26] [i25] [i24] [i22] [i21] [i19] [i17] [i16] [i14] [i13] [i9] [i7]
Gustav Pihlgren
aka: Gustav Grund Pihlgren
aka: Gustav Grund Pihlgren
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