Skip to main content Skip to main navigation

Publications

Displaying results 301 to 310 of 581.

  1. Sk Aziz Ali; Kerem Kahraman; Gerd Reis; Didier Stricker

    RPSRNet: End-to-End Trainable Rigid Point Set Registration Network usingBarnes-Hut 2^D-Tree Representation

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June 19-25, Virtual, IEEE, 6/2021.

  2. Tim J. Parbs; Philipp Koch; Alfred Mertins

    Convolutive Attention for Image Registration

    In: Proc. European Signal Processing Conference. European Signal Processing Conference (EUSIPCO-2022), August 28 - September 2, Belgrade, Serbia, Pages 1348-1352, IEEE, 2022.

  3. Viktor Eisenstadt; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Autocompletion of Design Data in Semantic Building Models using Link Prediction and Graph Neural Networks

    In: Burak Pak; Gabriel Wurzer; Rudi Stouffs (Hrsg.). Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe. Education and Research in Computer Aided Architectural Design in Europe (eCAADe-2022), CUMINCAD, 2022.

  4. Viktor Eisenstadt; Jessica Bielski; Christoph Langenhan; Burak Mete; Klaus-Dieter Althoff; Andreas Dengel

    Methoden zur KI-basierten Autovervollständigung von frühen Grundrissentwürfen: Methodologie und Integration in ein bestehendes Framework

    In: Martin Slepicka; Lothar Kolbeck; Sebastian Esser; Kasimir Forth; Florian Noichl; Jonas Schlenger (Hrsg.). Proceedings of 33. Forum Bauinformatik. Forum Bauinformatik, September 7-9, Pages 404-411, mediaTUM, München, 9/2022.

  5. Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    LGCA-VHPPI: A local-global residue context aware viral-host protein-protein interaction predictor

    In: PLoS ONE (PLOS), Vol. 7, Pages 1-26, PLOS, 2022.

  6. Maximilian Hoffmann; Lukas Malburg; Ralph Bergmann

    ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks

    In: Andrea Marrella; Barbara Weber (Hrsg.). Business Process Management Workshops. Business Process Management (BPM), Springer, 2021.

  7. Dominique Mercier; Adriano Lucieri; Mohsin Munir; Andreas Dengel; Sheraz Ahmed

    PPML-TSA: A modular privacy-preserving time series classification framework

    In: Software Impacts (SIMPA), Vol. 1, Pages 1-10, Elsevier, 4/2022.

  8. Andreas Winter; Boris Brandherm; Michael Igel; Peter Schegner

    Klassische Stromnetzberechnung in Kombination mit künstlicher Intelligenz zur Analyse und Diagnose von Stromverteilnetzen

    In: VDE FNN / ETG Tutorial Schutz- und Leittechnik. VDE FNN / ETG Tutorial Schutz- und Leittechnik, VDE Verlag GmbH, 2/2022.

  9. Abdul Rafey Aftab; Michael von der Beeck; Steven Rohrhirsch; Benoit Diotte; Michael Feld

    Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects

    In: IEEE (Hrsg.). 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE Intelligent Vehicles Symposium (IV-2021), 32th Intelligent Vehicles Symposium, located at IV21, July 11-17, Nagoya, Japan, Pages 1108-1115, ISBN 978-1-7281-5394-0, IEEE, 11/2021.

  10. Mihir Patil; Bilal Wehbe; Matias Valdenegro-Toro

    Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study

    In: Global OCEANS 2021. OCEANS MTS/IEEE Conference (OCEANS-2021), September 20-23, San Diego, CA, USA, IEEE, 9/2021.

Year

More options