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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
- 2023
[i59]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)- 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A survey of historical document image datasets.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) - [c181]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 - [c180]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 - [c179]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 - [c178]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 - [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 - [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 Ògúnremí, 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
- [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) - [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 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 - [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
- [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 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 - [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]