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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
[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 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 - [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
- [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) - [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 - [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
- [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 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 - [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.