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1. Yaxu Xie; Alain Pagani; Didier Stricker

   Polar-Ano: Surface Anomaly Detection via Deep Polarization Imaging and Data Synthesis with Physic-based Rendering

   In: 2023 17th International Conference on Signal-Image Technology & Internet-Based Systems. International Conference on Signal-Image Technology & …

2. Ramy Battrawy; René Schuster; Didier Stricker

   EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support

   In: British Machine Vision Conference. British Machine Vision Conference (BMVC-2023), located at The 34th British Machine Vision Conference, November …

3. Rajai Alhimdiat; Wesam Ashour; Ramy Battrawy; Didier Stricker

   Accelerating the Run-Time of Convolutional Neural Networks through Weight Pruning and Quantization

   In: International Engineering Conference on Renewable Energy & Sustainability. International Engineering Conference on Renewable Energy & …

4. Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal

   Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection

   In: British Machine Vision Conference. British Machine Vision Conference (BMVC-2022), 33rd British Machine Vision Conference, British Machine Vision …

5. Shishir Muralidhara; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

   Attention-Guided Disentangled Feature Aggregation for Video Object Detection

   In: Sensors - Open Access Journal (Sensors), Vol. 22, No. 21, Pages 1-17, MDPI, Switzerland, 11/2022.

6. Jason Raphael Rambach; Didier Stricker

   Editorial - Advanced Scene Perception for Augmented Reality

   In: Journal of Imaging (MDPI J), Vol. Special Issue Advanced Scene Perception for Augmented Reality, MDPI, 10/2022.

7. Sankalp Sinha; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

   Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

   In: Applied Sciences, Vol. 12, No. 20, Pages 1-22, MDPI, Switzerland, 10/2022.

8. Mohammad Minouei; Khurram Azeem Hashmi; Mohammad Reza Soheili; Muhammad Zeshan Afzal; Didier Stricker

   Continual Learning for Table Detection in Document Images

   In: Jan Egger (Hrsg.). Applied Sciences, Vol. 12, No. 18, Pages 1-16, MDPI, Switzerland, 9/2022.

9. Tahira Shehzadi; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

   Mask-Aware Semi-Supervised Object Detection in Floor Plans

   In: Applied Sciences, Vol. 12, No. 9, Pages 1-18, MDPI, Switzerland, 9/2022.

10. Pramod Narasimha Murthy; Bertram Taetz; Didier Stricker

    Latenzarme Erkennung vonWassersprungbewegungen in Trainingsvideos

    In: 20. Frühjahrsschule "Technologien im Leistungssport". Frühjahrsschule "Technologien im Leistungssport", September 7-8, Leipzig, Germany, IAT, …

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