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Publications

Displaying results 381 to 390 of 682.

  1. Patrick Trampert; Sabine Schlabach; Tim Dahmen; Philipp Slusallek

    Deep Learning for Sparse Scanning Electron Microscopy

    In: Microscopy and Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 2019.

  2. Mohamed Selim; Ahmet Firintepe; Alain Pagani; Didier Stricker

    AutoPOSE: Large-Scale Automotive Driver Head Pose and Gaze Dataset with Deep Head Pose Baseline

    In: International Conference on Computer Vision Theory and Applications (VISAPP). International Conference on Computer Vision Theory and Applications (VISAPP-2020), 15th, February 27-29, Valletta, Malta, SCITEPRESS Digital Library, 2020.

  3. Babu Ajish; Leon Cedric Danter; Pierre Willenbrock; Sankaranarayanan Natarajan; Daniel Kuehn; Frank Kirchner

    ARTER: a walking excavator robot for autonomous and remote operations

    In: at - Automatisierungstechnik, Vol. 70, No. 10, Pages 876-887, De Gruyter, 2022.

  4. Johannes Lahann; Peter Pfeiffer; Peter Fettke

    LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks

    In: Proceedings of the 4th International Conference on Process Mining (Workshops). International Conference on Process Mining (ICPM-2022), Process Mining Workshops, October 23-28, Bolzano, Italy, Lecture Notes in Business Information Processing, Springer, 2023.

  5. Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

    In: Frontiers in Artificial Intelligence, Vol. 7, Pages 1-26, Frontiers, 7/2024.

  6. Sankalp Sinha; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

    In: Applied Sciences, Vol. 12, No. 20, Pages 1-22, MDPI, Switzerland, 10/2022.

  7. Manuela Schuler; Richard Membarth; Philipp Slusallek

    XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments

    In: David Kaeli (Hrsg.). ACM Transactions on Architecture and Code Optimization (TACO), Vol. 20, No. 1, Pages 17:1-17:25, ACM, 12/2022.

  8. Dipam Goswami; René Schuster; Didier Stricker

    Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

    In: Winter Conference on Applications of Computer Vision 2023. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 2-7, Waikoloa, HI, USA, IEEE, 2023.

  9. Hamraz Javaheri; Sencer Melih Deniz; Juan Felipe Vargas; Dogan Urgun; Fariza Sabit; Mahmut Tok; Mehmet Haklidir; Bo Zhou; Paul Lukowicz

    Prediction of Lifted Weight Category Using EEG Equipped Headgear

    In: IEEÉ-BHI-BSN 2022. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI-22), IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’22) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN’22, Ioannina, Greece, IEEE EMBS, 2022.

  10. Huy Phan; Thi Ngoc Tho Nguyen; Philipp Koch; Alfred Mertins

    Polyphonic Audio Event Detection: Multi-Label or Multi-Class Multi-Task Classification Problem?

    In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing. International Conference on Acoustics, Speech and Signal Processing (ICASSP-2022), Pages 8877-8881, IEEE, 2022.

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