Export 1852 results:
Author Title [ Type(Desc)] Year
Journal Article
Frank, M, Plaue, M and Hamprecht, F A (2009). Denoising of Continuous-Wave Time-Of-Flight Depth Images Using Confidence Measures. Optical Engineering. 48, 077003PDF icon Technical Report (2.5 MB)
Menze, B H, Ur, J A and Sherratt, A G (2006). Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model. Photgrammetric Engineering & Remote Sensing. 3 321-327PDF icon Technical Report (643.89 KB)
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.
Schnörr, (1991). Determining Optical Flow for Irregular Domains by Minimizing Quadratic Functionals of a Certain Class. ijcv. 6 25–38
Lou, X, Kirchner, M, Renard, B Y, Köthe, U, Graf, C, Lee, C, Steen, J A J, Steen, H, Mayer, M P and Hamprecht, F A (2010). Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments. Bioinformatics. 26(12) 1535-1541PDF icon Technical Report (518.01 KB)
Hamprecht, F A, Cohen, A J, Tozer, D J and Handy, N C (1998). Development and assessment of new exchange-correlation functionals. Journal of Chemical Physics. 109 6264-6271
Steen, J A J, Steen, H, Georgi, A, Parker, K C, Springer, M, Kirchner, M, Hamprecht, F A and Kirschner, M W (2008). Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis. Proceedings of the National Academy of Sciences. 105 6069-6074PDF icon Technical Report (173.02 KB)
Cremers, D, Tischhäuser, F, Weickert, J and Schnörr, C (2002). Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford–Shah functional. Int. J. Computer Vision. 50 295–313
Lellmann, J, Lellmann, B, Widmann, F and Schnörr, C (2013). Discrete and Continuous Models for Partitioning Problems. Int.~J.~Comp.~Visionz. 104 241-269PDF icon Technical Report (4.74 MB)
Savchynskyy, B (2019). Discrete Graphical Models — An Optimization Perspective. Foundations and Trends® in Computer Graphics and Vision. Now Publishers. 11 160–429
Yuan, J, Schnörr, C and Mémin, E (2007). Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. J.~Math.~Imag.~Vision. 28 67-80PDF icon Technical Report (752.44 KB)
Schüle, T, Schnörr, C, Weber, S and Hornegger, J (2005). Discrete Tomography By Convex-Concave Regularization and D.C. Programming. Discr. Appl. Math. 151 229-243
Uhlmann, V, Haubold, C, Hamprecht, F A and Unser, M (2017). Diverse Shortest Paths for Bioimage Analysis. Bioinformatics. 1-3
Kohlberger, T, Schnörr, C, Bruhn, A and Weickert, J (2005). Domain decomposition for variational optical flow computation. IEEE Trans. Image Proc. 14 1125-1137
Scholz, J, Wiersbinski, T, Ruhnau, P, Kondermann, D, Garbe, C S, Hain, R and Beushausen, V (2008). Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation. Exp. Fluids. 45 583--593
Swoboda, P, Kuske, J and Savchynskyy, B (2016). A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. arXiv, preprint.
Wahl, A - S, Erlebach, E, Brattoli, B, Büchler, U, Kaiser, J, Ineichen, V B, Mosberger, A C, Schneeberger, S, Imobersteg, S, Wieckhorst, M, Stirn, M, Schroeter, A, Ommer, B and Schwab, M E (2018). Early reduced behavioral activity induced by large strokes affects the efficiency of enriched environment in rats. Sage Journals. Journal of Cerebral Blood Flow & Metabolism. icon 0271678x18777661.pdf (770.87 KB)
Storath, M, Brandt, C, Hofmann, M, Knopp, T, Salamon, J, Weber, A and Weinmann, A (2017). Edge preserving and noise reducing reconstruction for magnetic particle imaging. IEEE Transactions on Medical Imaging. 36 74 - 85PDF icon Technical Report (1.43 MB)
Kiefer, L, Storath, M and Weinmann, A (2019). An efficient algorithm for the piecewise affine-linear Mumford-Shah model based on a Taylor jet splitting. IEEE Transactions on Image Processing. 29PDF icon Technical Report (2.04 MB)
Rohr, K and Schnörr, C (1993). An Efficient Approach to the Identification of Characteristic Intensity Variations. 11 273–277
Funke, J, Andres, B, Hamprecht, F A, Cardona, A and Cook, M (2012). Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data. CVPR 2012. Proceedings. 1004-1011PDF icon Technical Report (1.64 MB)
Criminisi, A, Shotton, J, Blake, A and Torr, P (2004). Efficient dense stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing.
Criminisi, A, Blake, A, Rother, C, Shotton, J and Torr, P H S (2007). Efficient dense stereo with occlusions for new view-synthesis by four-state dynamic programming. International Journal of Computer Vision. Kluwer Academic Publishers. 71 89–110
Savchynskyy, B, Schmidt, S, Kappes, J H and Schnörr, C (2012). Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI. Proceedings. 746-755
Neumann, J, Schnörr, C and Steidl, G (2005). Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers. Pattern Recognition. 38 1815-1830
Libner, P, Jähne, B and Plate, E J (1987). Ein neue Methode zur lokalen und momentanen Bestimmung der Wiederbelüftungsraten von Gewässern. Wasserwirtschaft. 77 230--235
Lichy, M P, Bachert, P, Hamprecht, F A, Weber, M - A, Debus, J, Schulz-Ertner, D, Kauczor, H - U and Schlemmer, H - P (2006). Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren. Zeitung für Röntgenforschung. 178 627-633
Jähne, (2010). EMVA 1288 standard for machine vision -- objective specification of vital camera data. Optik & Photonik. 5 53--54
Hehn, T M, Kooij, J F P and Hamprecht, F A (2019). End-to-End Learning of Decision Trees and Forests. International Journal of Computer Vision. 1-15
Andres, B, Kondermann, C, Kondermann, D, Köthe, U, Hamprecht, F A and Garbe, C S (2008). On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. 1-6PDF icon Technical Report (1.58 MB)
Kelm, B Michael, Menze, B H, Nix, O, Zechmann, C M and Hamprecht, F A (2009). Estimating Kinetic Parameter Maps from Dynamic Contrast-Enhanced MRI using Spatial Prior Knowledge. IEEE Transaction on Medical Imaging. 28:10 1534-1547PDF icon Technical Report (419.8 KB)
Renard, B Y, Timm, W, Kirchner, M, Steen, J A J, Hamprecht, F A and Steen, H (2010). Estimating the Confidence of Peptide Identifications without Decoy Databases. Analytical Chemistry. 4314-4318PDF icon Technical Report (619.11 KB)
Garbe, C S, Spies, H and Jähne, B (2003). Estimation of complex motion from thermographic image sequences. SPIE Proc. 5073 303--317
Garbe, C S, Spies, H and Jähne, B (2003). Estimation of surface flow and net heat flux from infrared image sequences. Journal of Mathematical Imaging and Vision. 19 159--174
Schellewald, C, Roth, S and Schnörr, C (2007). Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. Image Vision Comp. 25 1301--1314PDF icon Technical Report (439.9 KB)