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Publications

Displaying results 301 to 310 of 661.

  1. 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.

  2. Tushar Karayil

    Affective Image Captioning: Extraction and Semantic Arrangement of Image Information with Deep Neural Networks

    PhD-Thesis, TU Kaiserslautern, kluedo, 6/2020.

  3. Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    P2ExNet: Patch-based Prototype Explanation Network

    In: Neural Information Processing - Proceedings. International Conference on Neural Information Processing (ICONIP-2020), 27th International Conference on Neural Information Processing, November 18-22, Bangkok, Thailand, Pages 318-330, Lecture Notes in Computer Scienece (LNTCS), Vol. 12534, ISBN 978-3-030-63836-8, Springer, 11/2020.

  4. Dominique Mercier; Shoaib Ahmed Siddiqui; Andreas Dengel; Sheraz Ahmed

    Interpreting Deep Models through the Lens of Data

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2020), July 19-24, Glasgow, United Kingdom, ISBN 978-1-7281-6926-2, IEEE Xplore, 9/2020.

  5. Shoaib Ahmed Siddiqui; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    TSInsight: A local-global attribution framework for interpretability in time-series data

    In: Sensors - Open Access Journal (Sensors), Vol. 21, Pages 1-16, MDPI, 11/2021.

  6. Akansha Bhardwaj; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2017), 24th International Conference on Neural Information Processing, November 14-18, Guangzhou, China, Pages 286-293, Vol. 10635, ISBN 978-3-319-70095-3, Springer, 10/2017.

  7. 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.

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

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

    4/2020.

  9. 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 (CHI-2020), April 25-30, Honolulu, HI, USA, ISBN 9781450367080, Association for Computing Machinery, 2020.

  10. 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, Keine, 2020.

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