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Eisele, H (2002). Automated defect detection and evaluation in X-ray CT images. University of Heidelberg. www.ub.uni-heidelberg.de/archiv/3106

Eisele, H and Hamprecht, F A (2003). A new approach for defect detection in X-ray CT images. Pattern Recognition. Springer. 2449 345-352

Technical Report (398.88 KB)

Eigenstetter, A, Takami, M and Ommer, B (2014). Randomized Max-Margin Compositions for Visual Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE. 3590--3597

Technical Report (8.01 MB)

Eigenstetter, A and Ommer, B (2012). Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity. Proceedings of the Conference on Advances in Neural Information Processing Systems. MIT Press. 377--385

Technical Report (3.27 MB)

Eigenstetter, A, Yarlagadda, P and Ommer, B (2012). Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching. Proceedins of the Aian Conference on Computer Vision. Springer. 152--163

Technical Report (7.31 MB)

Eichkorn, S (1997). Visualisierung Und Quantifizierung Des Co$_2$ Gasaustausches Mittels Laserinduzierter Fluoreszenz. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg

Eichkorn, S, Münsterer, T, Lode, U, Jähne, B, Jähne, B and Haußecker, H (2000). Fluorescence imaging of air-water gas exchange. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 644-645

Eichkorn, S, Münsterer, T, Lode, U, Jähne, B, Jähne, B, Haußecker, H and Geißler, P (1999). Fluorescenceimaging of air-water gas exchange. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 647-662

Ehrler, H (1999). Untersuchung Physiologischer Parameter Und Prozesse In Pflanzen Mit Hilfe Von Bildverarbeitung. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg

Ehrbächer, (1999). Voruntersuchungen Für Ein Messsystem Zur Analyse Von Strömungen In Sedimentporen Mittels Digitaler Bildfolgenanalyse. University of Heidelberg

Eger, P (2012). 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

D

Dutzi, A (1984). Untersuchungen Zum Einfluss Der Temperatur Auf Den Gasaustausch. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Drory, A, Haubold, C, Avidan, S and Hamprecht, F A (2014). Semi-Global Matching: A Principled Derivation in Terms of Message Passing. GCPR. Proceedings. 43-53

Technical Report (2.6 MB)

Draxler, F, Veschgini, K, Salmhofer, M and Hamprecht, F A (2018). Essentially No Barriers in Neural Network Energy Landscape. ICML. Proceedings. 80 1308--1317

Technical Report (685.93 KB)

Draxler, F (2018). The Energy Landscape Of Deep Neural Networks. Heidelberg University

Dorkenwald, M, Büchler, U and Ommer, B (2020). Unsupervised Magnification of Posture Deviations Across Subjects. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

article.pdf (1.15 MB)

Dorkenwald, M, Milbich, T, Blattmann, A, Rombach, R, Derpanis, K G and Ommer, B (2021). Stochastic Image-to-Video Synthesis usin cINNs. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Donath, A and Kondermann, D (2013). How Good is Crowdsourcing for Optical Flow Ground Truth Generation?. submitted to CVPR

Distributions, L (2014). 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. 9–11

Ding, L and Yilmaz, A (2010). Interactive image segmentation using probabilistic hypergraphs. Pattern Recognition. 43 1863–1873. http://www.research.microsoft.com/vision/cambridge

Dietrich, W (1983). 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

Dieter, J (1998). Analysis of Small-Scale Ocean Wind Waves by Image Sequence Analysis of Specular Reflections. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://d-nb.info/955455804

Dieter, J (1994). Messung Von Strömungen In Der Viskosen Grenzschicht An Der Wasseroberfläche. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Dieter, J, Bremeyer, R and Hering, F (1994). Flow measurements close to the free air/sea interface. Proceedings of the 7th International Symposium on Applications of Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 11.--14. 1994. II 22.2.1--6

Dieter, J, Hering, F, Bremeyer, R, Jähne, B and Jähne, B (1995). Measurements of velocity profiles in the aqueous boundary layer at a wind-driven water surface. Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer. AEON. 145--152

Dieter, J, Lauer, H, Jähne, B and Grün, A (1997). Measurements of slope statistics on a wind driven water surface. Optical 3D Measurement Techniques 4 - Applications in architecture, quality control, robotics, navigation, medical imaging and animation. Wichmann

Dierig, T (2002). Gewinnung von Tiefenkarten aus Fokusserien. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/2461

Diego, F and Hamprecht, F A (2016). Structured Regression Gradient Boosting. CVPR. Proceedings. 1459-1467

Technical Report (3.97 MB)

Diego, F and Hamprecht, F A (2014). Sparse Space-Time Deconvolution for Calcium Image Analysis. NIPS. Proceedings. 64-72. http://papers.nips.cc/paper/5342-sparse-space-time-deconvolution-for-calcium-image-analysis

Technical Report (5.27 MB)

Diego, F and Hamprecht, F A (2013). Learning Multi-Level Sparse Representation for Identifying Neuronal Activity. Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of Abstracts

Technical Report (1.05 MB)

Diego, F and Hamprecht, F A (2013). Learning Multi-Level Sparse Representation. NIPS. Proceedings. http://papers.nips.cc/paper/5076-learning-multi-level-sparse-representations

Technical Report (2.79 MB)

Diego, F, Reichinnek, S, Both, M and Hamprecht, F A (2013). Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning. ISBI 2013. Proceedings. 1058-1061

Technical Report (2.82 MB)

Diego, F, Serrat, J and López, A M (2012). Joint SpatioTemporal Alignment of Sequences. IEEE Transactions on Multimedia (TMM). PP (99) 1

Technical Report (5.15 MB)

Diebold, M, Blum, O, Gutsche, M, Wanner, S, Garbe, C, Baker, H and Jähne, B (2015). Light-field camera design for high-accuracy depth estimation. Videometrics, Range Imaging, and Applications XIII. SPIE

Diebold, M (2016). Light-Field Imaging and Heterogeneous Light Fields. IWR, Univ. Heidelberg. Dissertation

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