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Publications

Displaying results 291 to 300 of 681.
  1. Tae Yeob Kang; Haebom Lee; Sungho Suh

    An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns

    In: IEEE Transactions on Device and Materials Reliability, Vol. 24, No. 3, Pages 380-389, IEEE, 6/2024.

  2. Parham Zolfaghari; Vitor Fortes Rey; Lala Ray; Hyun Kim; Sungho Suh; Paul Lukowicz

    Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), Pages 1-8, IEEE, 2024.

  3. Hyungmin Kim; Donghun Kim; Pyunghwan Ahn; Sungho Suh; Hansang Cho; Junmo Kim

    ContextMix: A context-aware data augmentation method for industrial visual inspection systems

    In: International Journal Engineering Applications of Artificial Intelligence (EAAI), Vol. 131, Page 107842, Elsevier, 2024.

  4. Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.

  5. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

  6. CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction

    In: Proceedings of Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2024). Konferenz zur Verarbeitung natürlicher Sprache (KONVENS-2024), September 10-13, Vienna, Austria, KONVENS 2024 Organizers, 2024.

  7. Nabeel Khalid; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  8. Nabeel Khalid; Mohammadmahdi Koochali; Duway Nicolas Lesmes Leon; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  9. Nabeel Khalid; Maria Caropresse; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images

    In: 33rd International Conference on Artificial Neural Networks ICANN. International Conference on Artificial Neural Networks (ICANN-2024), September 17-20, Lugano, Switzerland, Springer Nature, Switzerland, 9/2024.

  10. EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images

    In: IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, TUCSON, USA, IEEE, 2024.