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D
M. Diebold, “Light-Field Imaging and Heterogeneous Light Fields”, vol. Dissertation. IWR, Univ. Heidelberg, 2016.
M. Diebold, Blum, O., Gutsche, M., Wanner, S., Garbe, C., Baker, H., and Jähne, B., “Light-field camera design for high-accuracy depth estimation”, in Videometrics, Range Imaging, and Applications XIII, 2015.
M. Diebold, Gatto, A., and Jähne, B., “Heterogeneous Light Fields”, in 2016 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016, 2016.
M. Diebold, Blum, O., Gutsche, M., Wanner, S., Garbe, C. S., Baker, H., and Jähne, B., “Light-field camera design for high-accuracy depth estimation”, Videometrics, Range Imaging, and Applications XIII. 2015.
M. Diebold and Goldlücke, B., “Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling.”, in VMV, 2013.
F. Diego and Hamprecht, F. A., “Structured Regression Gradient Boosting”, CVPR. Proceedings. pp. 1459-1467, 2016.PDF icon Technical Report (3.97 MB)
F. Diego and Hamprecht, F. A., “Sparse Space-Time Deconvolution for Calcium Image Analysis”, in NIPS. Proceedings, 2014, pp. 64-72.PDF icon Technical Report (5.27 MB)
F. Diego and Hamprecht, F. A., “Learning Multi-Level Sparse Representation for Identifying Neuronal Activity”, in Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of Abstracts., 2013.PDF icon Technical Report (1.05 MB)
F. Diego and Hamprecht, F. A., “Learning Multi-Level Sparse Representation”, in NIPS. Proceedings, 2013.PDF icon Technical Report (2.79 MB)
F. Diego, Reichinnek, S., Both, M., and Hamprecht, F. A., “Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning”, ISBI 2013. Proceedings, pp. 1058-1061, 2013.PDF icon Technical Report (2.82 MB)
F. Diego, Serrat, J., and López, A. M., “Joint SpatioTemporal Alignment of Sequences”, IEEE Transactions on Multimedia (TMM), vol. PP (99), p. 1, 2012.PDF icon Technical Report (5.15 MB)
T. Dierig, “Gewinnung von Tiefenkarten aus Fokusserien”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2002.
J. Dieter, “Analysis of Small-Scale Ocean Wind Waves by Image Sequence Analysis of Specular Reflections”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.
J. Dieter, “Messung von Strömungen in der viskosen Grenzschicht an der Wasseroberfläche”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1994.
J. Dieter, Bremeyer, R., and Hering, F., “Flow measurements close to the free air/sea interface”, in Proceedings of the 7th International Symposium on Applications of Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994, 1994, vol. II, p. 22.2.1--6.
J. Dieter, Hering, F., Bremeyer, R., Jähne, B., and Jähne, B., “Measurements of velocity profiles in the aqueous boundary layer at a wind-driven water surface”, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 145--152.
J. Dieter, Lauer, H., Jähne, B., and Grün, A., “Measurements of slope statistics on a wind driven water surface”, in Optical 3D Measurement Techniques 4 - Applications in architecture, quality control, robotics, navigation, medical imaging and animation, 1997.
W. Dietrich, “Aufbau und Erprobung eines neuartigen Diaphragmaverfahrens zur Messung der Diffusionskonstanten von in Wasser gelösten Gasen”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1983.
L. Ding and Yilmaz, A., “Interactive image segmentation using probabilistic hypergraphs”, Pattern Recognition, vol. 43, pp. 1863–1873, 2010.
L. Distributions, “Proof of Lemma 2 Proof of Lemma 3 Proof of Theorem 4 Proof of Lemma 10”, Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, pp. 9–11, 2014.
A. Donath and Kondermann, D., “How Good is Crowdsourcing for Optical Flow Ground Truth Generation?”, submitted to CVPR, 2013.
M. Dorkenwald, Büchler, U., and Ommer, B., “Unsupervised Magnification of Posture Deviations Across Subjects”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020.PDF icon article.pdf (1.15 MB)
M. Dorkenwald, Milbich, T., Blattmann, A., Rombach, R., Derpanis, K. G., and Ommer, B., “Stochastic Image-to-Video Synthesis usin cINNs”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
F. Draxler, Veschgini, K., Salmhofer, M., and Hamprecht, F. A., “Essentially No Barriers in Neural Network Energy Landscape”, ICML. Proceedings, vol. 80. p. 1308--1317, 2018.PDF icon Technical Report (685.93 KB)
F. Draxler, “The Energy Landscape of Deep Neural Networks”, Heidelberg University, 2018.
A. Drory, Haubold, C., Avidan, S., and Hamprecht, F. A., “Semi-Global Matching: A Principled Derivation in Terms of Message Passing”, in GCPR. Proceedings, 2014, pp. 43-53.PDF icon Technical Report (2.6 MB)
A. Dutzi, “Untersuchungen zum Einfluss der Temperatur auf den Gasaustausch”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1984.
E
P. Eger, “Messung der Luftströmung über kleinskaligen Wasserwellen mittels Particle Streak Velocimetry in einem linearen Wind-Wellen-Kanal”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2012.
U. Ehrbächer, “Voruntersuchungen für ein Messsystem zur Analyse von Strömungen in Sedimentporen mittels digitaler Bildfolgenanalyse”, University of Heidelberg, 1999.
H. Ehrler, “Untersuchung physiologischer Parameter und Prozesse in Pflanzen mit Hilfe von Bildverarbeitung”, IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 1999.
S. Eichkorn, “Visualisierung und Quantifizierung des CO$_2$ Gasaustausches mittels laserinduzierter Fluoreszenz”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 1997.
S. Eichkorn, Münsterer, T., Lode, U., Jähne, B., Jähne, B., and Haußecker, H., “Fluorescence imaging of air-water gas exchange”, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, pp. 644-645, 2000.
S. Eichkorn, Münsterer, T., Lode, U., Jähne, B., Jähne, B., Haußecker, H., and Geißler, P., “Fluorescenceimaging of air-water gas exchange”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 647-662, 1999.
A. Eigenstetter, Takami, M., and Ommer, B., “Randomized Max-Margin Compositions for Visual Recognition”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014, p. 3590--3597.PDF icon Technical Report (8.01 MB)
A. Eigenstetter and Ommer, B., “Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity”, in Proceedings of the Conference on Advances in Neural Information Processing Systems, 2012, p. 377--385.PDF icon Technical Report (3.27 MB)

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