Skip to main content Skip to main navigation

Publications

 

Due to maintenance work, it is currently not possible to search for publications by author.

Displaying results 21 to 30 of 77.
  1. Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R Jackson; Johan Tryggy; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images

    In: IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’21) JOINTLY ORGANISED WITH THE 17TH IEEE-EMBS INTERNATIONAL …

  2. Dominic Neu; Johannes Lahann; Peter Fettke

    A systematic literature review on state-of-the-art deep learning methods for process prediction

    In: Artificial Intelligence Review, Vol. Online, Springer Nature, 3/2021.

  3. Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

    In: IEEE Wireless Communications and Networking Conference. IEEE Wireless Communications and Networking Conference (WCNC-2021), March 29 - April 1, …

  4. Christopher Metz; Mehran Goli; Rolf Drechsler

    Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs

    In: Proceedings of SLOHA Workshop 2021. System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA-2021), located at Design, …

  5. Dennis Stumpf; Stephan Krauß; Gerd Reis; Oliver Wasenmüller; Didier Stricker

    SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences

    In: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. International …

  6. Max Leimkühler; Laura Gravemeier; Tim Biester; Oliver Thomas

    Deep learning object detection as an assistance system for complex image labeling tasks

    In: Proceedings of the 54th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2021), A …

  7. Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

    In: Witold Pedrycz; Shyi-Ming Chen (Hrsg.). Interpretable Artificial Intelligence: A Perspective of Granular Computing. Chapter 1, Pages 1-28, Vol. …

  8. Jigyasa Singh Katrolia; Lars Krämer; Jason Raphael Rambach; Bruno Mirbach; Didier Stricker

    An Adversarial Training based Framework for Depth Domain Adaptation

    In: Proceedings of the 16th VISAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications …

  9. A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions

    In: Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2021), January 5-9, …

  10. Nikolas Müller; Jonas Stenzel; Jian-Jia Chen

    Self-supervised Detection and Pose Estimation of Logistical Objects in 3D Sensor Data

    In: 25th International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020), January 10-15, Milan, Italy, …