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Welbl, J (2014). Casting Random Forests as Artificial Neural Networks (and Profiting from It). GCPR. Proceedings. 765-771PDF icon Technical Report (376.24 KB)
Welk, M, Weickert, J, Becker, F, Schnörr, C, Feddern, C and Burgeth, B (2007). Median and related local filters for tensor-valued images. Signal Processing. 87 291-308PDF icon Technical Report (1007.29 KB)
Welk, M, Becker, F, Schnörr, C and Weickert, J (2005). Matrix-Valued Filters as Convex Programs. Scale-Space 2005. Springer. 3459 204–216
Welk, M, Weickert, J, Becker, F, Schnörr, C, Feddern, C and Burgeth, B (2007). Median and related local filters for tensor-valued images. Signal Processing. 87 291-308
Wenig, M (2001). GOME-Spurenstoffauswertung und Bildverarbeitung. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Wenig, M (1998). Wolkenklassifizierung Mittels Bildsequenzanalyse Auf Gome-Satellitendaten. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Wenig, M, Jähne, B and Platt, U (2005). Operator representation as a new differential optical absorption spectroscopy formalism. Appl. Optics. 44 3246-3253
Wenig, M, Kuhl, S, Beirle, S, Bucsela, E, Jähne, B, Platt, U, Gleason, J and Wagner, T (2004). Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment. J. Geophys. Res. 109 D04315, 1--11
Wenig, M, Leue, C, Kraus, S, Wagner, T, Platt, U and Jähne, B (2001). Image sequence analysis of satellite NO$_2$ concnetration maps. Pattern Recognition, 23rd DAGM Symposium Munich. Springer. 2191 223--230
Wenig, M, Leue, C, Platt, U, Jähne, B and Haußecker, H (2000). Cloud classification analyzing image sequences. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 652--653
Wenig, M, Spichtinger, N, Stohl, A, Held, G, Beirle, S, Wagner, T, Jähne, B and Platt, U (2003). Intercontinental transport of nitrogen oxide pollution plumes. Atmos. Chem. Phys. 3 387--393
Wenig, M, Spichtinger, N, Stohl, A, Held, G, Beirle, S, Wagner, T, Jähne, B and Platt, U (2002). Intercontinental transport of nitrogen oxide pollution plumes. acpd. 3 2151--2165
Wiehler, K, Grigat, R –R, Heers, J, Schnörr, C and Stiehl, H S (1998). Dynamic Circular Cellular Networks for Adaptive Smoothing of Multi–Dimensional Signals. Proc. 5th IEEE Int. Workshop on Cellular Neural Networks and their Applications. London
Wiehler, K, Grigat, R –R, Heers, J, Schnörr, C and Stiehl, H –S (1998). Real–Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology. Mustererkennung 1998. Springer, Heidelberg
Wiehler, K, Heers, J, Schnörr, C, Stiehl, H –S and Grigat, R –R (2001). A 1D analog VLSI implementation for non-linear real-time signal preprocessing. Real–Time Imaging. 7 127–142
Wieler, M (2014). Multiple Instance Learning with Random Forests and Applications in Industrial Optical Inspection. University of Heidelberg
Wieler, M (2006). Single Tone Frequency Estimation From Very Few Sampling Points. University of Heidelberg
Wierzimok, D (1990). Messung turbulenter Strömungen unterhalb der windwellenbewegten Wasseroberfläche mittels digitaler Bildverarbeitung. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://d-nb.info/910573255
Wierzimok, D and Hering, F (1993). Quantitative imaging of transport in fluids with digital particle tracking velocimetry. Imaging in Transport Processes. Begell House Publishers. 297--308. http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html
Wierzimok, D, Hering, F and Brunswig, F (1992). Tracking in Strömungsbildfolgen. Proc. 14. DAGM-Symposium Mustererkennung. Springer
Wierzimok, D and Jähne, B (1991). Measurement of wave-induced turbulent flow structure using digital image sequence analysis. Air-Water Mass Transfer, selected papers from the 2nd International Symposium on Gas Transfer at Water Surfaces, September 11--14, 1990, Minneapolis, Minnesota. ASCE. 200--209
Wierzimok, D and Jähne, B (1990). Automatic particle tracking beneath a wind-stressed wavy water surface with image processing. Proc.\ 5th Int. Symposium Flow Visualization, Praque 1989. 943--956
Wierzimok, D and Jähne, B (1989). Automatic particle tracking velocimetry beneath a wind-stressed wavy water surface with image processing. 5th International Symposium on Flow Visualization
Wierzimok, D, Jähne, B and Dengler, J (1987). Bildfolgenanalyse dreidimensionaler turbulenter Strömungen. Proc. 9. DAGM-Symposium zur Mustererkennung 1987. Springer. 149 288
Winter, R (2011). Fluorescent Tracers for air-sided Concentration Profile Measurements at the Air-Water Interface. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg. Dissertation. http://www.ub.uni-heidelberg.de/archiv/12105
Withopf, D (2007). Reliable Real-Time Vehicle Detection and Tracking. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg. http://d-nb.info/98745398X
Withopf, D and Jähne, B (2007). Improved training algorithm for tree-like classifiers and its application to vehicle detection. Proc. IEEE Intelligent Transportation Systems Conference (ITSC). 642--647
Withopf, D and Jähne, B (2006). Learning algorithm for real-time vehicle tracking. Proc. IEEE Intelligent Transportation Systems Conference ITSC '06. 516--521
Wolf, C (1994). Surface Properties Of Breaking Water Waves. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Wolf, G (1981). Aufbau Einer Pilotanlage Zur Gaschromatographischen Tritiumanreicherung. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Wolf, S (2016). Cell Tracking With Graphical Model Using Higher Order Features On Track Segments. University of Heidelberg
Wolf, S, Schott, L, Köthe, U and Hamprecht, F A (2017). Learned Watershed: End-to-End Learning of Seeded Segmentation. ICCV. 2030-2038PDF icon Technical Report (3.76 MB)
Wolf, S, Pape, C, Bailoni, A, Rahaman, N, Kreshuk, A, Köthe, U and Hamprecht, F A (2018). The Mutex Watershed: Efficient, Parameter-Free Image Partitioning. ECCV. Proceedings. Springer. 571-587
Wolf, S, Pape, C, Bailoni, A, Rahaman, N, Kreshuk, A, Köthe, U and Hamprecht, F A (2018). The Mutex Watershed: Efficient, Parameter-Free Image Partitioning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11208 LNCS 571–587. http://arxiv.org/abs/1904.12654
Wolf, S, Bailoni, A, Pape, C, Rahaman, N, Kreshuk, A, Köthe, U and Hamprecht, F A (2020). The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning. IEEE Transactions on Pattern Analysis and Machine IntelligencePDF icon Technical Report (2.58 MB)

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