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2020 – today
- 2024
[j17]Johannes Seiffarth
, Tim Scherr, Bastian Wollenhaupt, Oliver Neumann, Hanno Scharr, Dietrich Kohlheyer, Ralf Mikut, Katharina Nöh:
ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud. SoftwareX 26: 101638 (2024)- [j16]Miguel Pato, Jim Buffat, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan W. Maier, Rupert Müller, Patrick Rademske, Uwe Rascher, Hanno Scharr:
Physics-Based Machine Learning Emulator of at-Sensor Radiances for Solar-Induced Fluorescence Retrieval in the O$_{2}$-A Absorption Band. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18566-18576 (2024) - [c45]Richard D. Paul, Johannes Seiffarth, Hanno Scharr, Katharina Nöh:
Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial Growth. ISBI 2024: 1-5 - [c44]Dirk Norbert Baker, Tobias Selzner, Jens Henrik Göbbert, Hanno Scharr, Morris Riedel, Ebba Þóra Hvannberg, Andrea Schnepf, Daniel Zielasko:
Hands-On Plant Root System Reconstruction in Virtual Reality. VRST 2024: 90:1-90:2 - [i3]Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr:
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation. CoRR abs/2409.17085 (2024) - 2023
- [j15]Ian Stavness, Mario Valerio Giuffrida, Hanno Scharr:
Editorial: Computer vision in plant phenotyping and agriculture. Frontiers Artif. Intell. 6 (2023) - [c43]Vsevolod Cherepashkin, Erenus Yildiz, Andreas Fischbach, Leif Kobbelt, Hanno Scharr:
Deep learning based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method. ICCV (Workshops) 2023: 561-571 - [c42]Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent:
SGD Biased towards Early Important Samples for Efficient Training. ICDM 2023: 1289-1294 - [c41]Jim Buffat, Miguel Pato, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan W. Maier, Rupert Müller, Patrick Rademske, Uwe Rascher, Hanno Scharr:
Deep Learning Based Prediction of Sun-Induced Fluorescence from Hyplant Imagery. IGARSS 2023: 2993-2996 - [c40]Miguel Pato, Kevin Alonso, Stefan Auer, Jim Buffat, Emiliano Carmona, Stefan W. Maier, Rupert Müller, Patrick Rademske, Uwe Rascher, Hanno Scharr:
Fast Machine Learning Simulator of At-Sensor Radiances for Solar-Induced Fluorescence Retrieval with DESIS and Hyplant. IGARSS 2023: 7563-7566 - 2021
- [i2]Dirk Norbert Helmrich, Jens Henrik Göbbert, Mona Giraud, Hanno Scharr, Andrea Schnepf, Morris Riedel:
Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers. CoRR abs/2110.14946 (2021) - 2020
- [j14]Daniel Pflugfelder, Hanno Scharr:
Practically Lossless Affine Image Transformation. IEEE Trans. Image Process. 29: 5367-5373 (2020) - [c39]Hanno Scharr, Benjamin Bruns, Andreas Fischbach, Johanna Roussel, Lukas Scholtes, Jonas vom Stein:
Germination Detection of Seedlings in Soil: A System, Dataset and Challenge. ECCV Workshops (6) 2020: 360-374
2010 – 2019
- 2018
- [c38]Maria Pilar Cendrero Mateo, Simon Bennertz, Andreas Burkart, Tommaso Julitta, Sergio Cogliati, Hanno Scharr, Patrick Rademske, Luis Alonso, Francisco Pinto, Uwe Rascher:
Sun Induced Fluorescence Calibration and Validation for Field Phenotyping. IGARSS 2018: 8248-8251 - 2017
- [j13]Alejandro Agostini, Guillem Alenyà, Andreas Fischbach, Hanno Scharr, Florentin Wörgötter, Carme Torras:
A cognitive architecture for automatic gardening. Comput. Electron. Agric. 138: 69-79 (2017) - [c37]Hanno Scharr, Tony P. Pridmore, Sotirios A. Tsaftaris:
Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers. ICCV Workshops 2017: 2020-2021 - [c36]Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris:
ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network. ICCV Workshops 2017: 2064-2071 - [i1]Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris:
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network. CoRR abs/1709.00938 (2017) - 2016
- [j12]Kai Krajsek, Marion I. Menzel, Hanno Scharr:
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images. Int. J. Comput. Vis. 120(3): 272-299 (2016) - [j11]Hanno Scharr, Massimo Minervini, Andrew P. French, Christian Klukas, David M. Kramer, Xiaoming Liu, Imanol Luengo, Jean-Michel Pape, Gerrit Polder, Danijela Vukadinovic, Xi Yin, Sotirios A. Tsaftaris:
Leaf segmentation in plant phenotyping: a collation study. Mach. Vis. Appl. 27(4): 585-606 (2016) - [j10]Hanno Scharr, Hannah Dee, Andrew P. French, Sotirios A. Tsaftaris:
Special issue on computer vision and image analysis in plant phenotyping. Mach. Vis. Appl. 27(5): 607-609 (2016) - [j9]Massimo Minervini, Andreas Fischbach, Hanno Scharr, Sotirios A. Tsaftaris:
Finely-grained annotated datasets for image-based plant phenotyping. Pattern Recognit. Lett. 81: 80-89 (2016) - 2015
- [j8]Eren Erdal Aksoy, Alexey Abramov, Florentin Wörgötter, Hanno Scharr, Andreas Fischbach, Babette Dellen:
Modeling leaf growth of rosette plants using infrared stereo image sequences. Comput. Electron. Agric. 110: 78-90 (2015) - [j7]Massimo Minervini, Hanno Scharr, Sotirios A. Tsaftaris:
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]. IEEE Signal Process. Mag. 32(4): 126-131 (2015) - [j6]Babette Dellen, Hanno Scharr, Carme Torras:
Growth Signatures of Rosette Plants from Time-Lapse Video. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1470-1478 (2015) - [c35]Freddie Åström, Michael Felsberg, Hanno Scharr:
Adaptive sharpening of multimodal distributions. CVCS 2015: 1-4 - [c34]Benjamin Bruns, Hanno Scharr, Florian Schmidt:
Entwicklung einer Multi-Plattform-Benutzerschicht zur tätigkeitsbegleitenden Verwaltung von Phänotypisierungsexperimenten und Pflanzenbestandsdaten. GIL Jahrestagung 2015: 29-32 - 2014
- [c33]Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr:
Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion. VISAPP (1) 2014: 48-55 - [c32]Kai Krajsek, Christian Heinemann, Hanno Scharr:
Likelihood Functions for Errors-in-variables Models - Bias-free Local Estimation with Minimum Variance. VISAPP (3) 2014: 270-279 - 2013
- [c31]Florian Schmidt, Benjamin Bruns, Thomas Bode, Hanno Scharr, Armin B. Cremers:
A Distributed Information System for Managing Phenotyping Mass Data. GIL Jahrestagung 2013: 303-306 - 2012
- [c30]Kai Krajsek, Hanno Scharr:
A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI). CVPR 2012: 1019-1026 - [c29]Hannes Schulz, Johannes A. Postma, Dagmar van Dusschoten, Hanno Scharr, Sven Behnke:
3D Reconstruction of Plant Roots from MRI Images. VISAPP (2) 2012: 24-33 - [c28]Hannes Schulz, Johannes A. Postma, Dagmar van Dusschoten, Hanno Scharr, Sven Behnke:
Plant Root System Analysis from MRI Images. VISIGRAPP (Selected Papers) 2012: 411-425 - [p1]Hanno Scharr, Kai Krajsek:
A Short Introduction to Diffusion-Like Methods. Mathematical Methods for Signal and Image Analysis and Representation 2012: 1-30 - 2011
- [c27]Kai Krajsek, Ines Dedovic, Hanno Scharr:
An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation. DAGM-Symposium 2011: 41-50 - 2010
- [j5]Tobias Schuchert, Til Aach, Hanno Scharr:
Range Flow in Varying Illumination: Algorithms and Comparisons. IEEE Trans. Pattern Anal. Mach. Intell. 32(9): 1646-1658 (2010) - [c26]Kai Krajsek, Hanno Scharr:
Diffusion filtering without parameter tuning: Models and inference tools. CVPR 2010: 2536-2543 - [c25]Tobias Schuchert, Hanno Scharr:
Estimation of 3D Object Structure, Motion and Rotation Based on 4D Affine Optical Flow Using a Multi-camera Array. ECCV (4) 2010: 596-609
2000 – 2009
- 2009
- [c24]Kai Krajsek, Marion I. Menzel, Hanno Scharr:
Riemannian Bayesian estimation of diffusion tensor images. ICCV 2009: 2327-2334 - 2008
- [j4]Tobias Preusser, Hanno Scharr, Kai Krajsek, Robert M. Kirby:
Building Blocks for Computer Vision with Stochastic Partial Differential Equations. Int. J. Comput. Vis. 80(3): 375-405 (2008) - [c23]Kai Krajsek, Rudolf Mester, Hanno Scharr:
Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation. DAGM-Symposium 2008: 466-475 - [c22]Matthias Mühlich, Daniel Truhn, Kerstin Nagel, Achim Walter, Hanno Scharr, Til Aach:
Measuring Plant Root Growth. DAGM-Symposium 2008: 497-506 - [c21]Tobias Schuchert, Hanno Scharr:
An Affine Optical Flow Model for Dynamic Surface Reconstruction. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 70-90 - [c20]Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr:
Riemannian Anisotropic Diffusion for Tensor Valued Images. ECCV (4) 2008: 326-339 - [c19]Tobias Schuchert, Til Aach, Hanno Scharr:
Range Flow for Varying Illumination. ECCV (1) 2008: 509-522 - 2007
- [c18]Tobias Schuchert, Hanno Scharr:
Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination. DAGM-Symposium 2007: 184-193 - [c17]Hanno Scharr:
Optimal second order derivative filter families for transparent motion estimation. EUSIPCO 2007: 302-306 - 2006
- [j3]Michael Felsberg, Per-Erik Forssén, Hanno Scharr:
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 209-222 (2006) - [c16]Hanno Scharr:
Diffusion-Like Reconstruction Schemes from Linear Data Models. DAGM-Symposium 2006: 51-60 - [e1]Bernd Jähne, Rudolf Mester, Erhardt Barth, Hanno Scharr:
Complex Motion, First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004. Revised Papers. Lecture Notes in Computer Science 3417, Springer 2006, ISBN 978-3-540-69864-7 [contents] - 2005
- [j2]Hanno Scharr, Hagen Spies:
Accurate optical flow in noisy image sequences using flow adapted anisotropic diffusion. Signal Process. Image Commun. 20(6): 537-553 (2005) - [c15]Hanno Scharr, Ingo Stuke, Cicero Mota, Erhardt Barth:
Estimation of transparent motions with physical models for additional brightness variation. EUSIPCO 2005: 1-4 - 2004
- [c14]Hanno Scharr:
Optimal Filters for Extended Optical Flow. IWCM 2004: 14-29 - [c13]Hanno Scharr:
Towards a Multi-camera Generalization of Brightness Constancy. IWCM 2004: 78-90 - 2003
- [c12]Hanno Scharr, Michael Felsberg, Per-Erik Forssén:
Noise Adaptive Channel Smoothing of Low-Dose Images. CVPR Workshops 2003: 18 - [c11]Hanno Scharr, Michael J. Black, Horst W. Haussecker:
Image Statistics and Anisotropic Diffusion. ICCV 2003: 840-847 - 2002
- [j1]Joachim Weickert, Hanno Scharr:
A Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance. J. Vis. Commun. Image Represent. 13(1-2): 103-118 (2002) - 2001
- [c10]Hanno Scharr, Dietmar Uttenweiler:
3D Anisotropic Diffusion Filtering for Enhancing Noisy Actin Filament Fluorescence Images. DAGM-Symposium 2001: 69-75 - [c9]Norbert Kirchgeßner, Hagen Spies, Hanno Scharr, Uli Schurr:
Root Growth Measurements in Object Coordinates. DAGM-Symposium 2001: 231-238 - [c8]Hagen Spies, Hanno Scharr:
Accurate Optical Flow in Noisy Image Sequences. ICCV 2001: 587-592 - [c7]Norbert Kirchgeßner, Hagen Spies, Hanno Scharr, Uli Schurr:
Root Growth Analysis in Physiological Coordinates. ICIAP 2001: 589-595 - 2000
- [b1]Hanno Scharr:
Optimal operators in digital image processing. University of Heidelberg, Germany, 2000, pp. 1-178 - [c6]Hanno Scharr, Bernd Jähne, Stefan Böckle, Jan Kazenwadel, Thomas Kunzelmann, Christof Schulz:
Flame Front Analysis in Turbulent Combustion. DAGM-Symposium 2000: 325-333 - [c5]Norbert Kirchgeßner, Hanno Scharr, Uli Schurr:
3D-Modellierung von Pflanzenblättern mittels eines Depth-from-Motion-Verfahrens. DAGM-Symposium 2000: 381-388 - [c4]Hanno Scharr, Joachim Weickert:
An Anisotropic Diffusion Algorithm with Optimized Rotation Invariance. DAGM-Symposium 2000: 460-467 - [c3]Hagen Spies, Norbert Kirchgeßner, Hanno Scharr, Bernd Jähne:
Dense Structure Estimation via Regularised Optical Flow. VMV 2000: 57-64
1990 – 1999
- 1998
- [c2]Bernd Jähne, Horst W. Haussecker, Hanno Scharr, Hagen Spies, Dominik Schmundt, Uli Schurr:
Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques. ECCV (2) 1998: 322-336 - 1997
- [c1]Hanno Scharr, Stefan Körkel, Bernd Jähne:
Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung. DAGM-Symposium 1997: 367-374
Coauthor Index
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