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Publications

Displaying results 361 to 370 of 579.

  1. 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, IEEE, 1/2021.

  2. Mahdi Chamseddine; Jason Raphael Rambach; Oliver Wasenmüller; Didier Stricker

    Ghost Target Detection in 3D Radar Data using Point Cloud based Deep Neural Network

    In: International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020), 25th International Conference on Pattern Recognition, January 12-15, Milan, Italy, ISBN 978-1-7281-8808-9, IEEE, 5/2021.

  3. Ho Minh Duy Nguyen; Abraham Ezema; Fabrizio Nunnari; Daniel Sonntag

    A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net

    In: KI 2020: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2020), 43rd, September 21-25, Bamberg, Germany, Pages 313-319, Lecture Notes in Computer Science (LNCS), Vol. 12325, Springer, 9/2020.

  4. Jason Raphael Rambach

    Learning Priors for Augmented Reality Tracking and Scene Understanding

    PhD-Thesis, Technische Universität Kaiserslautern, ISBN 978-3-8439-4555-4, Dr.Hut, München, 9/2020.

  5. Fabio Vulpi; Annalisa Milella; Florian Cordes; Raúl Domínguez; Giulio Reina

    Deep Terrain Estimation for Planetary Rovers

    In: 15th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS'20). International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS-2020), October 19, Online-Conference, 10/2020.

  6. Sheela Raju Kurupathi; Pramod Murthy; Didier Stricker

    Generation of Human Images with Clothing using Advanced Conditional Generative Adversarial Networks, International Conference on Deep Learning Theory and Applications (DeLTA 2020)

    In: Ana Fred; Kurosh Madani (Hrsg.). Proceedings of the 1st International Conference on Deep Learning Theory and Applications DeLTA 2020. International Conference on Deep Learning Theory and Applications (DeLTA-2020), July 8-10, Pages 30-41, Vol. 1, ISBN 978-989-758-441-1, SciTePress, 2020.

  7. Mateus Dias Ribeiro; Abdul Rehman; Sheraz Ahmed; Andreas Dengel

    DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

    4/2020.

  8. Wei Jiang; Hans Dieter Schotten

    Deep Learning-Aided Delay-Tolerant Zero-Forcing Precoding in Cell-Free Massive MIMO

    In: Proceedings of the 2022 IEEE 96th Vehicular Technology Conference. IEEE Vehicular Technology Conference (VTC-2022), IEEE VTC 2022 Fall, September 26-29, London, United Kingdom, IEEE, 9/2022.

  9. 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.

  10. Qiuheng Zhou; Wei Jiang; Donglin Wang; Hans D. Schotten (Hrsg.)

    Deep Learning-Based Signal-to-Noise Ratio Prediction for Realistic Wireless Communication

    IEEE Vehicular Technology Conference (VTC-2022), June 19-22, Helsinki, Finland, IEEE, 2022.

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