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Publications

Displaying results 41 to 50 of 70.
  1. 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. …

  2. Noshaba Cheema; Laura A. Frey-Law; Kourosh Naderi; Jaakko Lehtinen; Philipp Slusallek; Perttu Hämäläinen

    Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning

    In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing Systems …

  3. Swaroop Bhandary; Nico Hochgeschwender; Paul Plöger; Frank Kirchner; Matias Valdenegro-Toro

    Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds

    In: Workshop on Uncertainty and Robustness in Deep Learning. International Conference on Machine Learning (ICML-2020), July 12-18, Online, Austria, …

  4. Sara Khan; Boris Brandherm; Anilkumar Swamy

    Electric Vehicle User Behavior Prediction Using Learning-Based Approaches

    In: 2020 IEEE Electric Power and Energy Conference (EPEC). IEEE Electric Power and Energy Conference (EPEC-2020), November 9-10, Edmonton, AB, Canada, …

  5. 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, …

  6. 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 …

  7. 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.

  8. Rishav Rishav; Ramy Battrawy; René Schuster; Oliver Wasenmüller; Didier Stricker

    DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR

    In: International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), …

  9. Tushar Karayil; Philipp Blandfort; Jörn Hees; Andreas Dengel

    The Focus--Aspect--Value model for predicting subjective visual attributes

    In: International Journal of Multimedia Information Retrieval (IJMR), Vol. 9, No. 1, Pages 47-60, Springer, 2020.