Prof. Dr.-Ing. André Kaup



Organisation


Lehrstuhl für Multimediakommunikation und Signalverarbeitung


Awards / Honours

Go to first page Go to previous page 2 of 7 Go to next page Go to last page

2018 : Lehrevaluation
2018 : Mitgliedschaft Bayerische Akademie der Wissenschaften
2017 : Best Student Paper Award
2017 : Distinguished Paper Award
2017 : Lehrevaluation - Beste Vorlesung


Invention/s

Go to first page Go to previous page 1 of 3 Go to next page Go to last page

A Compressed Domain Change Detection Algorithm for RTP Streams
Automatische Objektverfolgung unter Berücksichtigung der Objektform
Directional Prediction by Template Matching
Methode zur Bestimmung statischer Bildbereiche mit dem Ziel einer stabilisierten Schätzung von Rotationsbewegung
Method for Backward-adaptive Pixel-based Non-local Means Prediction for Image and Video Coding



Project lead

Go to first page Go to previous page 1 of 3 Go to next page Go to last page

3D-Objekterkennung: 3D-Objekterkennung in einer von mehreren Kameras beobachteten Szene
Prof. Dr.-Ing. André Kaup
(01/07/2016 - 30/06/2019)

Development of content adaptive screen sharing coding
Prof. Dr.-Ing. André Kaup
(05/02/2016 - 28/02/2017)

Forschungsinfrastruktur
Prof. Dr.-Ing. André Kaup
(01/01/2016 - 31/12/2018)

HEVC Video Coding
Prof. Dr.-Ing. André Kaup
(01/03/2014 - 31/10/2014)

Trends in Image and Video Communication
Prof. Dr.-Ing. André Kaup
(01/12/2013 - 30/09/2015)


Project member


SSI: Sustainable Smart Industry
Prof. Dr. Kai-Ingo Voigt
(01/01/2017 - 31/12/2019)

RTG 1773: Heterogeneous Image Systems
Prof. Dr. Marc Stamminger
(01/10/2012 - 31/03/2017)


Publications (Download BibTeX)

Go to first page Go to previous page 2 of 36 Go to next page Go to last page

Lanz, D., Schilling, F., & Kaup, A. (2019). Scalable Lossless Coding of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Prediction and Update. In Proceedings of the Picture Coding Symposium (PCS). Ningbo, CN.
Köhler, T., Bätz, M., Naderi Boldaji, F., Kaup, A., Maier, A., & Rieß, C. (2019). Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41. https://dx.doi.org/10.1109/TPAMI.2019.2917037
Rachuj, S., Herglotz, C., Reichenbach, M., Kaup, A., & Fey, D. (2018). A Hybrid Approach for Runtime Analysis Using a Cycle and Instruction Accurate Model. In Mladen Berekovic, Rainer Buchty, Heiko Hamann, Dirk Koch, Thilo Pionteck (Eds.), 31st International Conference on Architecture of Computing Systems, ARCS 2018 (pp. 85-96). Braunschweig: Springer.
Köhler, T., Bätz, M., Naderi Boldaji, F., Kaup, A., Maier, A., & Riess, C. (2018). Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data.
Kiesel, D., Richter, T., Seiler, J., & Kaup, A. (2018). Color Channel Reconstruction for Multi-Color Multi-View Images Using Disparity and Color Similarity-based Local Linear Regression. In Proceedings of the IS&T Electronic Imaging - Image Sensors and Imaging Systems Conference (pp. 292-1 - 292-6). San Francisco, US.
Lanz, D., Seiler, J., Jaskolka, K., & Kaup, A. (2018). Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update. In Proceedings of the Picture Coding Symposium (pp. 56 - 60). San Francisco, CA, US.
van Luong, H., Deligiannis, N., Forchhammer, S., & Kaup, A. (2018). Compressive online decomposition of dynamic signals via n-l1 minimization with clustered priors. In Proceedings of the IEEE Statistical Signal Processing Workshop. Freiburg, DE.
van Luong, H., Deligiannis, N., Seiler, J., Forchhammer, S., & Kaup, A. (2018). Compressive Online Robust Principal Component Analysis via n - ℓ1 Minimization. IEEE Transactions on Image Processing, 27(9), 4314-4329. https://dx.doi.org/10.1109/TIP.2018.2831915
Herglotz, C., & Kaup, A. (2018). Decoding Energy Estimation of an HEVC Hardware Decoder. In Proceedings of the International Symposium on Circuits and Systems (ISCAS). Florenz, IT.
Herglotz, C., Kränzler, M., & Kaup, A. (2018). Decoding Energy Modeling for the Next Generation Video Codec Based on JEM. In Proceedings of the Picture Coding Symposium (PCS). San Francisco, US.

Last updated on 2019-09-01 at 13:22