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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--163PDF icon Technical Report (7.31 MB)
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 345-352PDF icon Technical Report (398.88 KB)
Eisenhauer, D (2011). Aufbau Eines Messsystems Zur Amplitudenmessung Von Schwerewellen Im Aeolotron. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Engelmann, D (2000). 3D-Flow Measurement by Stereo Imaging. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/1070
Engelmann, D, Garbe, C S, Stöhr, M, Geißler, P, Hering, F and Jähne, B (1998). Stereo particle tracking. Proc. of the 8th International Symposium on Flow Visualization. 240--249
Engelmann, D, Garbe, C S, Stöhr, M and Jähne, B (1999). Three dimensional flow dynamics beneath the air-water interface. The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes. 181--184
Engelmann, D, Stöhr, M, Garbe, C S, Hering, F, Jähne, B, Haußecker, H and Geißler, P (1999). Particle-tracking velocimetry. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 663-697
Engelmann, D, Stöhr, M, Garbe, C S, Hering, F and Jähne, B (2000). Particle-tracking velocimetry. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 646-647
Enzweiler, M and Gavrila, D M (2008). 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
Enzweiler, M and Gavrila, D M (2008). A Mixed Generative-Discriminative Framework for Pedestrian Classification. Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR)
Enzweiler, M, Kanter, P and Gavrila, D M (2008). Monocular Pedestrian Recognition Using Motion Parallax. Proc. IEEE Symposium on Intelligent Vehicles. 792-797
Erb, W, 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 (2018). Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging. Inverse Problems. 34
Erz, M (2011). Charakterisierung von Laufzeitkamerasystemen für Lumineszenzlebensdauermessungen. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg. Dissertation. http://www.ub.uni-heidelberg.de/archiv/11598
Erz, M and Jähne, B (2009). Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras. 3rd Workshop on Dynamic 3-D Imaging. Springer. 5742 28--41
Erz, M and Jähne, B (2012). Optimale und differenzierte Kameraauswahl nach dem EMVA-Standard 1288. Forum Bildverarbeitung. KIT Scientific Publishing. 35--46. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440
Erz, M and Jähne, B (2010). Optimierte Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung des bildgebenden Systeme. Forum Bildverarbeitung. KIT Scientific Publishing. 155--166. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000020266
Erz, M and Jähne, B (2011). Optimale Kameraauswahl für maschinelles Sehen durch standardisierte Charakterisierung. tm --- Technisches Messen. 78 377--383
Erz, M, Mischler, W, Trein, J, Lin, Z, Lay, R and Jähne, B (2012). Erweiterte Schärfentiefe mittels Scheimpflug-Bildaufnahme und Bildfusion. Forum Bildverarbeitung. KIT Scientific Publishing. 1--12. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440
Esparza, J (2015). 3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Esparza, J, Helmle, M and Jähne, B (2014). Wide base stereo with fisheye optics: a robust approach for 3D reconstruction in driving assistance. Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014. Springer. 8753 342--353
Esparza, J, Helmle, M and Jähne, B (2014). Towards surround stereo vision: analysis of a new surround view camera configuration for driving asistance applications. 17th International Conference on Intelligent Transportation Systems (ITSC 2014)
Esparza, J, Vepa, L, Helmle, M and Jähne, B (2014). Registration of a multi-camera system with a 3D laser range finder. 9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting. 37--46. http://www.uni-das.de/de/Veranstaltungen/fas2014.php
Esparza, J (2015). 3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg. Dissertation
Esposito, M, Hennersperger, C, Göbl, R, Demaret, L, Storath, M, Navab, N, Baust, M and Weinmann, A (2019). Total variation regularization of pose signals with an application to 3D freehand ultrasound. IEEE Transactions on Medical Imaging. 38(10) 2245-2258
Esser, P, Sutter, E and Ommer, B (2018). A Variational U-Net for Conditional Appearance and Shape Generation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (short Oral). https://compvis.github.io/vunet/
Esser, P, Haux, J, Milbich, T and Ommer, B (2018). Towards Learning a Realistic Rendering of Human Behavior. European Conference on Computer Vision (ECCV - HBUGEN)
Esser, P, Haux, J and Ommer, B (2019). Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis. Proceedings of the Intl. Conf. on Computer Vision (ICCV). https://compvis.github.io/robust-disentangling/
Esser, P, Rombach, R, Blattmann, A and Ommer, B (2021). ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis. https://arxiv.org/abs/2108.08827
Esser, P, Rombach, R and Ommer, B (2020). A Note on Data Biases in Generative Models. NeurIPS 2020 Workshop on Machine Learning for Creativity and Design. https://arxiv.org/abs/2012.02516
Esser, P, Rombach, R and Ommer, B (2021). Taming Transformers for High-Resolution Image Synthesis. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://arxiv.org/abs/2012.09841
Esser, P, Rombach, R and Ommer, B (2020). A Disentangling Invertible Interpretation Network for Explaining Latent Representations. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://compvis.github.io/iin/PDF icon Article (13.07 MB)
Eyjolfsdottir, E, Branson, S, Burgos-Artizzu, X P, Hoopfer, E D, Schor, J, Anderson, D J and Perona, P (2014). Detection of social actions in fruit flies. Lecture Notes in Computer Science. Springer International Publishing, Cham. 8690 772–787. http://link.springer.com/10.1007/978-3-319-10605-2 http://www.ncbi.nlm.nih.gov/pubmed/31629782

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