Publications

Sebastian Schwindt, Lisa Meisinger, Beatriz Negreiros, Tim Schneider, and Wolfgang Nowak. Transfer learning achieves high recall for object classification in fluvial environments with limited data. Geomorphology, (455):109185, 2024. [PUMA: Convolutional GoogLeNet Image Large ac networks neural recognition wood] URL

Annika S. Sahrmann, Lukas Vosse, Tobias Siebert, Geoffrey G. Handsfield, and Oliver Röhrle. 3D ultrasound-based determination of skeletal muscle fascicle orientations. In Tobias Siebert (Eds.), Biomechanics and Modeling in Mechanobiology, Mar 26, 2024. [PUMA: 3D Image Inspo PN2-8 Pennation Siebert Skeletal angle architecture muscle processing ultrasound] URL

T. Hu, Y. Wang, Y. Chen, P. Lu, H. Wang, and G. Wang. Sobel Heuristic Kernel for Aerial Semantic Segmentation. 2018 25th IEEE International Conference on Image Processing (ICIP), 3074-3078, October 2018. [PUMA: (artificial Aerial Detection Heuristic Image Kernel;Kernel;Semantics;Image Labeling Segmentation;Edge contour;aerial dataset;Aerial detecting detection detection;Neural detection;image edge image intelligence);Inria method;SHK module;Sobel networks;Detectors;Convolution;Semantic operator;traditional segmentation;Image segmentation;classical segmentation;learning segmentation;semantic semantic]

M. Karásek, M. Percin, T. Cunis, B.W. van Oudheusden, C. De Wagter, B.D.W. Remes, and G.C.H.E. de Croon. Accurate position control of a flapping-wing robot enabling free-flight flow visualisation in a wind tunnel. International Journal of Micro Air Vehicles, (11)2019. [PUMA: Flapping air flight,micro image myown tunnel vehicles,particle velocimetry,wind wing,control,flapping]

A. Dutta, Johannes Engels, and M. Hahn. Segmentation of Laser Point Clouds in Urban Areas by a Modified Normalized Cut Method. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2018. [PUMA: Cost Eigenvalues Image Laser Minimization Three-dimensional Urban areas beam cutting displays eigenfunctions from:gisitpuma function segmentation] URL

O. Elmi, M. J. Tourian, and N. Sneeuw. Dynamic river masks from multi-temporal satellite imagery: an automatic algorithm using graph cuts optimization. 2016. [PUMA: Optical water body satellite Hydrology, image Markov random fields, classification, area cuts imagery, graph sensing, Remote monitoring, from:mantoni]

O. Elmi, M. J. Tourian, and N. Sneeuw. Dynamic river masks from multi-temporal satellite imagery: an automatic algorithm using graph cuts optimization. 2016. [PUMA: Hydrology, Markov Optical Remote area body classification, cuts fields, graph image imagery, monitoring, random satellite sensing, water]

Thomas Richter, and Sven Simon. Towards high-speed, low-complexity image coding: Variants and modification of JPEG 2000. In Andrew G. Tescher (Eds.), Applications of Digital Image Processing XXXV, (8499):10, SPIE, October 2012. [PUMA: compression image myown] URL

Thomas Richter, and Sven Simon. On the JPEG 2000 Ultrafast Mode. 2012 IEEE International Conference on Image Processing ICIP 2012, 2501 - 2504, IEEE, Lake Buena Vista, Florida, USA, September 2012. [PUMA: compression image jpeg2000 myown] URL

Sven Grottke, Sabina Jeschke, and Thomas Richter. An Integrated Course on Wavelet-Based Image Compression - Learning Abstract Information Theory on Visual Data. CISSE 2007, December 2007. [PUMA: compression image learning myown]

Thomas Richter. A Global Image Fidelity Metric: Visual Distance and its Properties. IEEE International Conference on Image Processing ICIP 2013, 369 - 373, IEEE, Melbourne, Victoria, Australia, September 2013. [PUMA: compression image myown quality] URL

Thomas Richter, Sven Grottke, and Ruedi Seiler. Faster JPEG2000 Encoding With Apriori Rate Allocation. International MultiConference of Engineers and Computer Scientists 2007, HongKong, April 2007. [PUMA: compression image jpeg2000 myown]

Thomas Richter. On the mDCT-PSNR Image Quality Index. QoMEX 2009, First International Workshop on Quality of Multimedia Experience, 53-58, San Diego, CA, USA, July 2009. [PUMA: compression image myown quality] URL

Thomas Richter. Evaluation of Floating Point Image Compression. QoMEX 2009, First International Workshop on Quality of Multimedia Experience, 222-227, San Diego, CA, USA, July 2009. [PUMA: compression image jpeg jpeg2000] URL

T. Richter, and S. Simon. Comparison of CPU and GPU Based Coding on Low-Complexity Algorithms for Display Signals. In Andrew G. Tescher (Eds.), Applications of Digital Image Processing XXXVI, (8856):14 pages, SPIE, October 2013. [PUMA: compression cpu gpu image low-complexity myown] URL

Sven Grottke, and Thomas Richter. Learning Abstract Information Theory on Visual Data: An Integrated Course on Wavelet-Based Image Compression. 2007 ASEE annual conference, Honolulu, Hawaii, June 2007. [PUMA: compression design image learing myown wavelet]

Thomas Richter. Rate Allocation in a Two Quantizer Coding System. Data Compression Conference (DCC), 2014, 83 - 92, IEEE, Snowbird, UT, March 2014. [PUMA: compression image jpeg jpeg-xt myown] URL

Thomas Richter. High Throughput Coding of Video Signals. Data Compression Conference (DCC), 517, IEEE, Snowbird, UT, March 2013. [PUMA: compression image] URL

Thomas Richter, and Kil Joong Kim. A MS-SSIM Optimal JPEG 2000 Encoder. Data Compression Conference, 401-410, Snowbird, UT, USA, March 2009. [PUMA: compression image myown ssim] URL