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Computer Science

D-Index
39
Citations
9146
World Ranking
9576
National Ranking
68

Overview

Marcus Liwicki is a researcher affiliated with Luleå University of Technology in Sweden. Their work primarily focuses on computer science, with a significant emphasis on computer vision and pattern recognition, artificial intelligence, and related interdisciplinary fields.

Their contributions span several key topics within these domains, including:

  • Handwritten Text Recognition Techniques
  • Advanced Neural Network Applications
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Image Processing and 3D Reconstruction

Marcus Liwicki's publication record includes numerous papers, with several recent works highlighting ongoing research themes. Representative recent publications include:

  • "Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments" (2021) published in Sensors
  • "SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion" (2022) published in IEEE Access
  • "A survey of historical document image datasets" (2022) published in International Journal on Document Analysis and Recognition (IJDAR)
  • "Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks" (2022) published in Open Computer Science
  • "Improving Image Autoencoder Embeddings with Perceptual Loss" (2020) published in Publications (Konstfack University of Arts, Crafts, and Design)

Their collaborative network includes frequent co-authors such as Muhammad Zeshan Afzal, Didier Stricker, Rajkumar Saini, Foteini Liwicki, and Tosin Adewumi, reflecting an interdisciplinary and international research environment.

Marcus Liwicki's research outputs have appeared across various publication venues, including:

  • arXiv (Cornell University)
  • Preprints.org
  • Sensors
  • Applied Sciences
  • IEEE Access

Their research fields cover predominantly computer science, with substantial work in computer vision and pattern recognition, artificial intelligence, mechanical engineering, cognitive neuroscience, and media technology.

Best Publications

  • A Novel Connectionist System for Unconstrained Handwriting Recognition

    A. Graves;M. Liwicki;S. Fernandez;R. Bertolami

  • Scene labeling with LSTM recurrent neural networks

    Wonmin Byeon;Thomas M. Breuel;Federico Raue;Marcus Liwicki

  • IAM-OnDB - an on-line English sentence database acquired from handwritten text on a whiteboard

    M. Liwicki;H. Bunke

  • Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011)

    Marcus Liwicki;Muhammad Imran Malik;C. Elisa van den Heuvel;Xiaohong Chen

  • Improved Automatic Analysis of Architectural Floor Plans

    Sheraz Ahmed;Marcus Liwicki;Markus Weber;Andreas Dengel

  • Statistical segmentation and structural recognition for floor plan interpretation

    Unknown

  • Deepdocclassifier: Document classification with deep Convolutional Neural Network

    Muhammad Zeshan Afzal;Samuele Capobianco;Muhammad Imran Malik;Simone Marinai

  • Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification

    Unknown

  • Automatic Room Detection and Room Labeling from Architectural Floor Plans

    Sheraz Ahmed;Marcus Liwicki;Markus Weber;Andreas Dengel

  • A writer identification system for on-line whiteboard data

    Andreas Schlapbach;Marcus Liwicki;Horst Bunke

  • Automatic Transcription of Handwritten Medieval Documents

    Andreas Fischer;Markus Wuthrich;Marcus Liwicki;Volkmar Frinken

  • DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts

    Foteini Simistira;Mathias Seuret;Nicole Eichenberger;Angelika Garz

  • ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013)

    Muhammad Imran Malik;Sheraz Ahmed;Angelo Marcelli;Umapada Pal

  • Graph-based retrieval of building information models for supporting the early design stages

    Christoph Langenhan;Markus Weber;Marcus Liwicki;Frank Petzold

  • Automatic analysis and sketch-based retrieval of architectural floor plans

    Sheraz Ahmed;Markus Weber;Marcus Liwicki;Christoph Langenhan

  • Automatic gender detection using on-line and off-line information

    Marcus Liwicki;Andreas Schlapbach;Horst Bunke

  • Transforming sensor data to the image domain for deep learning — An application to footstep detection

    Monit Shah Singh;Vinaychandran Pondenkandath;Bo Zhou;Paul Lukowicz

  • IAMonDo-database: an online handwritten document database with non-uniform contents

    Emanuel Indermühle;Marcus Liwicki;Horst Bunke

  • SemAttNet: Toward Attention-Based Semantic Aware Guided Depth Completion

    Unknown

  • Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments.

    Muhammad Ahmed;Khurram Azeem Hashmi;Alain Pagani;Marcus Liwicki

  • On-Line Handwritten Text Line Detection Using Dynamic Programming

    M. Liwicki;E. Indermuhle;H. Bunke

  • Writer identification for smart meeting room systems

    Marcus Liwicki;Andreas Schlapbach;Horst Bunke;Samy Bengio

  • Document Image Binarization using LSTM: A Sequence Learning Approach

    Muhammad Zeshan Afzal;Joan Pastor-Pellicer;Faisal Shafait;Thomas M. Breuel

Frequent Co-Authors

Basilis Gatos
Basilis Gatos National Centre of Scientific Research Demokritos

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