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E. Eyjolfsdottir, Branson, S., Burgos-Artizzu, X. P., Hoopfer, E. D., Schor, J., Anderson, D. J., and Perona, P., “Detection of social actions in fruit flies”, Lecture Notes in Computer Science, vol. 8690, pp. 772–787, 2014.
P. Esser, Rombach, R., Blattmann, A., and Ommer, B., “ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis”. 2021.
P. Esser, Rombach, R., and Ommer, B., “Taming Transformers for High-Resolution Image Synthesis”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
P. Esser, Rombach, R., and Ommer, B., “A Note on Data Biases in Generative Models”, in NeurIPS 2020 Workshop on Machine Learning for Creativity and Design, 2020.
P. Esser, Sutter, E., and Ommer, B., “A Variational U-Net for Conditional Appearance and Shape Generation”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral), 2018.
P. Esser, Haux, J., Milbich, T., and Ommer, B., “Towards Learning a Realistic Rendering of Human Behavior”, in European Conference on Computer Vision (ECCV - HBUGEN), 2018.
P. Esser, Haux, J., and Ommer, B., “Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis”, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.
P. Esser, Rombach, R., and Ommer, B., “A Disentangling Invertible Interpretation Network for Explaining Latent Representations”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2020.PDF icon Article (13.07 MB)
M. Esposito, Hennersperger, C., Göbl, R., Demaret, L., Storath, M., Navab, N., Baust, M., and Weinmann, A., “Total variation regularization of pose signals with an application to 3D freehand ultrasound”, IEEE Transactions on Medical Imaging, vol. 38(10), pp. 2245-2258, 2019.
J. Esparza, Vepa, L., Helmle, M., and Jähne, B., “Registration of a multi-camera system with a 3D laser range finder”, in 9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting, 2014, p. 37--46.
J. Esparza, Helmle, M., and Jähne, B., “Towards surround stereo vision: analysis of a new surround view camera configuration for driving asistance applications”, in 17th International Conference on Intelligent Transportation Systems (ITSC 2014), 2014.
J. Esparza, Helmle, M., and Jähne, B., “Wide base stereo with fisheye optics: a robust approach for 3D reconstruction in driving assistance”, in Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, 2014, vol. 8753, p. 342--353.
J. Esparza, “3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2015.
J. Esparza, “3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems”, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2015.
M. Erz, Mischler, W., Trein, J., Lin, Z., Lay, R., and Jähne, B., “Erweiterte Schärfentiefe mittels Scheimpflug-Bildaufnahme und Bildfusion”, in Forum Bildverarbeitung, 2012, p. 1--12.
M. Erz and Jähne, B., “Optimale Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung”, tm --- Technisches Messen, vol. 78, p. 377--383, 2011.
M. Erz and Jähne, B., “Optimierte Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme”, in Forum Bildverarbeitung, 2010, p. 155--166.
M. Erz and Jähne, B., “Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288”, in Forum Bildverarbeitung, 2012, p. 35--46.
M. Erz and Jähne, B., “Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras”, in 3rd Workshop on Dynamic 3-D Imaging, 2009, vol. 5742, p. 28--41.
M. Erz, “Charakterisierung von Laufzeitkamerasystemen für Lumineszenzlebensdauermessungen”, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2011.
W. Erb, Weinmann, A., Ahlborg, M., Brandt, C., Bringout, G., Buzug, T. M., Frikel, J., Kaethner, C., Knopp, T., März, T., Möddel, M., Storath, M., and Weber, A., “Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging”, Inverse Problems, vol. 34, no. 5, 2018.
M. Enzweiler, Kanter, P., and Gavrila, D. M., “Monocular Pedestrian Recognition Using Motion Parallax”, in Proc. IEEE Symposium on Intelligent Vehicles, 2008, pp. 792-797.
M. Enzweiler and Gavrila, D. M., “A Mixed Generative-Discriminative Framework for Pedestrian Classification”, in Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR), 2008.
M. Enzweiler and Gavrila, D. M., “Monocular Pedestrian Detection: Survey and Experiments”, IEEE Transactions on Pattern Analysis and Machine Intelligence, available online: IEEE Computer Society Digital Library, http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.260, 2008.
D. Engelmann, “3D-Flow Measurement by Stereo Imaging”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.
D. Engelmann, Stöhr, M., Garbe, C. S., Hering, F., and Jähne, B., “Particle-tracking velocimetry”, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, pp. 646-647, 2000.
D. Engelmann, Stöhr, M., Garbe, C. S., Hering, F., Jähne, B., Haußecker, H., and Geißler, P., “Particle-tracking velocimetry”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 663-697, 1999.
D. Engelmann, Garbe, C. S., Stöhr, M., and Jähne, B., “Three dimensional flow dynamics beneath the air-water interface”, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999, p. 181--184.
D. Engelmann, Garbe, C. S., Stöhr, M., Geißler, P., Hering, F., and Jähne, B., “Stereo particle tracking”, in Proc. of the 8th International Symposium on Flow Visualization, 1998, p. 240--249.
D. Eisenhauer, “Aufbau eines Messsystems zur Amplitudenmessung von Schwerewellen im Aeolotron”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
H. Eisele and Hamprecht, F. A., “A new approach for defect detection in X-ray CT images”, Pattern Recognition, vol. 2449. Springer, pp. 345-352, 2003.PDF icon Technical Report (398.88 KB)
H. Eisele, “Automated defect detection and evaluation in X-ray CT images”. University of Heidelberg, 2002.
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, Yarlagadda, P., and Ommer, B., “Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching”, in Proceedins of the Aian Conference on Computer Vision, 2012, p. 152--163.PDF icon Technical Report (7.31 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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