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Publications

Displaying results 271 to 280 of 681.

  1. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5255-5258, arXiv, 2025.

  2. Sudhanshu Mittal; Joshua Niemeijer; Özgün Çiçek; Maxim Tatarchenko; Jan Ehrhardt; Jörg P. Schäfer; Heinz Handels; Thomas Brox

    Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation

    In: International Journal of Computer Vision (IJCV), Vol. 133, Pages 4294-4316, Springer Nature, 2025.

  3. Quentin Delfosse; Wolfgang Stammer; Thomas Rothenbacher; Dwarak Vittal; Kristian Kersting

    Boosting Object Representation Learning via Motion and Object Continuity

    In: Danai Koutra; Claudia Plant; Manuel Gomez Rodriguez; Elena Baralis; Francesco Bonchi (Hrsg.). Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Pages 610-628, Lecture Notes in Computer Science, Vol. 14172, Springer, 2023.

  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. 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.

  7. 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.

  8. 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.

  9. Vijul Shah; Ko Watanabe; Brian Moser; Andreas Dengel

    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.

  10. Ilira Troshani; Thiago Gouvea; Daniel Sonntag

    Wild Data Treasures: Towards Sustainable Practices in Deep Learning for Wildlife Monitoring

    In: CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. CHI Workshop on Sustaining Scalable Sustainability, Human-Centered Green Technology for Community-wide Carbon Reduction, located at ACM CHI 2024, May 11, Honolulu, HI, USA, ISBN 979-8-4007-0331-7, ACM, New York, USA, 5/2024.

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