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M. Wulf, Stiehl, H. S., and Schnörr, C., “Modeling spatiotemporal receptive fields in the primate retina”, in Proc. Cognitive Neurosci. Conf., Bremen, Germany, 1999.
M. Wulf, Stiehl, H. S., and Schnörr, C., “A model of spatiotemporal receptive fields in the primate retina”, in Proc. 1st Göttingen Conf. German Neurosci. Soc., 1999, vol. II.
M. Wulf, Stiehl, H. S., and Schnörr, C., “On the computational rôle of the primate retina”, in Proc. 2nd ICSC Symposium on Neural Computation (NC 2000), Berlin, Germany, 2000.
O. J. Woodford, “A Global Perspective on MAP Inference for Low-Level Vision Supplementary material to ICCV submission \# 1536”, Optimization, 2009.
A. Wolny, Cerrone, L., Vijayan, A., Tofanelli, R., Vilches-Barro, A., Louveaux, M., Wenzel, C., Strauss, S., Wilson-Sanchez, D., Lymbouridou, R., Steigleder, S. S., Pape, C., Bailoni, A., Duran-Nebreda, S., Bassel, G. W., Lohmann, J. U., Tsiantis, M., Hamprecht, F. A., Schneitz, K., Maizel, A., and Kreshuk, A., “Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution”, eLife, vol. 9, 2020.
S. Wolf, Hamprecht, F. A., and Funke, J., “Instance Separation Emerges from Inpainting”, arXiv preprint arXiv:2003.00891, 2020.
C. Wolf, “Surface Properties of Breaking Water Waves”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1994.
G. Wolf, “Aufbau einer Pilotanlage zur gaschromatographischen Tritiumanreicherung”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1981.
S. Wolf, “Cell Tracking With Graphical Model Using Higher Order Features On Track Segments”, University of Heidelberg, 2016.
S. Wolf, Schott, L., Köthe, U., and Hamprecht, F. A., “Learned Watershed: End-to-End Learning of Seeded Segmentation”, ICCV. pp. 2030-2038, 2017.PDF icon Technical Report (3.76 MB)
S. Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., “The Mutex Watershed: Efficient, Parameter-Free Image Partitioning”, ECCV. Proceedings. Springer, pp. 571-587, 2018.
S. Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., “The Mutex Watershed: Efficient, Parameter-Free Image Partitioning”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11208 LNCS, pp. 571–587.
S. Wolf, Bailoni, A., Pape, C., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., “The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, pp. 3724-3738, 2020.PDF icon Technical Report (2.58 MB)
S. Wolf, “Machine Learning for Instance Segmentation”. Heidelberg University, 2020.
S. Wolf, Li, Y., Pape, C., Bailoni, A., Kreshuk, A., and Hamprecht, F. A., “The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation”, ECCV. Proceedings. pp. 208-224, 2020.
S. Wolf, Hamprecht, F. A., and Funke, J., “Inpainting Networks Learn to Separate Cells in Microscopy Images”, BMCV. 2020.PDF icon Technical Report (357.23 KB)
D. Withopf and Jähne, B., “Learning algorithm for real-time vehicle tracking”, in Proc. IEEE Intelligent Transportation Systems Conference ITSC '06, 2006, p. 516--521.
D. Withopf, “Reliable Real-Time Vehicle Detection and Tracking”. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2007.
D. Withopf and Jähne, B., “Improved training algorithm for tree-like classifiers and its application to vehicle detection”, in Proc. IEEE Intelligent Transportation Systems Conference (ITSC), 2007, p. 642--647.
R. Winter, “Fluorescent Tracers for air-sided Concentration Profile Measurements at the Air-Water Interface”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2011.
D. Wierzimok and Jähne, B., “Automatic particle tracking velocimetry beneath a wind-stressed wavy water surface with image processing”, in 5th International Symposium on Flow Visualization, 1989.
D. Wierzimok, “Messung turbulenter Strömungen unterhalb der windwellenbewegten Wasseroberfläche mittels digitaler Bildverarbeitung”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1990.
D. Wierzimok and Hering, F., “Quantitative imaging of transport in fluids with digital particle tracking velocimetry”, in Imaging in Transport Processes, 1993, p. 297--308.
D. Wierzimok, Hering, F., and Brunswig, F., “Tracking in Strömungsbildfolgen”, in Proc. 14. DAGM-Symposium Mustererkennung, 1992.
D. Wierzimok and Jähne, B., “Measurement of wave-induced turbulent flow structure using digital image sequence analysis”, in Air-Water Mass Transfer, selected papers from the 2nd International Symposium on Gas Transfer at Water Surfaces, September 11--14, 1990, Minneapolis, Minnesota, 1991, p. 200--209.
D. Wierzimok and Jähne, B., “Automatic particle tracking beneath a wind-stressed wavy water surface with image processing”, in Proc.\ 5th Int. Symposium Flow Visualization, Praque 1989, 1990, p. 943--956.
D. Wierzimok, Jähne, B., and Dengler, J., “Bildfolgenanalyse dreidimensionaler turbulenter Strömungen”, in Proc. 9. DAGM-Symposium zur Mustererkennung 1987, 1987, vol. 149, p. 288.
M. Wieler, “Multiple Instance Learning with Random Forests and Applications in Industrial Optical Inspection”. University of Heidelberg, 2014.
M. Wieler, “Single tone frequency estimation from very few sampling points”, University of Heidelberg, 2006.
K. Wiehler, Grigat, R. –R., Heers, J., Schnörr, C., and Stiehl, H. –S., “Real–Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology”, in Mustererkennung 1998, Heidelberg, 1998.
K. Wiehler, Heers, J., Schnörr, C., Stiehl, H. –S., and Grigat, R. –R., “A 1D analog VLSI implementation for non-linear real-time signal preprocessing”, Real–Time Imaging, vol. 7, pp. 127–142, 2001.
K. Wiehler, Grigat, R. –R., Heers, J., Schnörr, C., and Stiehl, H. S., “Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi–Dimensional Signals”, in Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications, London, 1998.
M. Wenig, “GOME-Spurenstoffauswertung und Bildverarbeitung”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.
M. Wenig, Kuhl, S., Beirle, S., Bucsela, E., Jähne, B., Platt, U., Gleason, J., and Wagner, T., “Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment”, J. Geophys. Res., vol. 109, p. D04315, 1--11, 2004.
M. Wenig, Leue, C., Kraus, S., Wagner, T., Platt, U., and Jähne, B., “Image sequence analysis of satellite NO$_2$ concnetration maps”, in Pattern Recognition, 23rd DAGM Symposium Munich, 2001, vol. 2191, p. 223--230.

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