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Publications

 

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Displaying results 41 to 50 of 724.
  1. Joao Maria Janeiro; Stanislav Frolov; Alaaeldin El-Nouby; Jakob Verbeek

    Are Visual Recognition Models Robust to Image Compression?

    In: International Conference on Machine Learning Workshop Neural Compression: From Information Theory to Applications. International Conference on …

  2. Dafna Burema; Nicole Debowski-Weimann; Alexander von Janowski; Jil Grabowski; Mihai Maftei; Mattis Jacobs; Patrick van der Smagt; Djalel Benbouzid

    A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context

    In: Francesca Rossi; Sanmay Das; Jenny Davis; Kay Firth-Butterfield; Alex John (Hrsg.). AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, …

  3. JCAS-Enabled Sensing as a Service in 6th-Generation Mobile Communication Networks

    In: KuVS Fachgespräch - Würzburg Workshop on Modeling, Analysis and Simulation of Next-Generation Communication Networks 2023 (WueWoWAS'23). KuVS …

  4. A Comprehensive Evaluation Framework for Speaker Anonymization Systems

    In: Proc. 3rd Symposium on Security and Privacy in Speech Communication. Symposium on Security and Privacy in Speech Communication (SPSC-2023), …

  5. Christiano Couto Gava; Vishal Sharbidar Mukunda; Tewodros Amberbir Habtegebrial; Federico Raue; Sebastian Palacio; Andreas Dengel

    SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images

    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition …

  6. Analyzing the potential of active learning for document image classification

    In: International Journal on Document Analysis and Recognition (IJDAR), Vol. 26, Pages 187-209, Springer Nature, 4/2023.

  7. ColDBin: Cold Diffusion for Document Image Binarization

    In: Document Analysis and Recognition - ICDAR 2023. International Conference on Document Analysis and Recognition (ICDAR-2023), located at The 17th …

  8. Arnab Das; Suhita Ghosh; Tim Polzehl; Ingo Siegert; Sebastian Stober (Hrsg.)

    StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings

    ISCA Tutorial and Research Workshop on Speech Synthesis (SSW-2023), Grenoble, France, ISCA Speech Synthesis Workshop, 2023.

  9. Suhita Ghosh; Arnab Das; Yamini Sinha; Ingo Siegert; Tim Polzehl; Sebastian Stober

    Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion

    In: Proc. INTERSPEECH 2023. Conference in the Annual Series of Interspeech Events (INTERSPEECH-2023), Pages 2093-2097, ISCA-speech, 2023.

  10. FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification

    In: Journal of King Saud University - Computer and Information Sciences, Vol. 35, No. 8 (101665), Elsevier, 9/2023.