Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung. - Hanno Scharr; Stefan Körkel; Bernd Jähne (DAGM-Symposium, 1997)

Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques. - Bernd Jähne; Horst W. Haussecker; Hanno Scharr; Hagen Spies; Dominik Schmundt; Uli Schurr (ECCV (2), 1998)

3D-Modellierung von Pflanzenblättern mittels eines Depth-from-Motion-Verfahrens. - Norbert Kirchgeßner; Hanno Scharr; Uli Schurr (DAGM-Symposium, 2000)

Flame Front Analysis in Turbulent Combustion. - Hanno Scharr; Bernd Jähne; Stefan Böckle; Jan Kazenwadel; Thomas Kunzelmann; Christof Schulz (DAGM-Symposium, 2000)

An Anisotropic Diffusion Algorithm with Optimized Rotation Invariance. - Hanno Scharr; Joachim Weickert (DAGM-Symposium, 2000)

Dense Structure Estimation via Regularised Optical Flow. - Hagen Spies; Norbert Kirchgeßner; Hanno Scharr; Bernd Jähne (VMV, 2000)

Optimal operators in digital image processing. - Hanno Scharr (2000)

Root Growth Measurements in Object Coordinates. - Norbert Kirchgeßner; Hagen Spies; Hanno Scharr; Uli Schurr (DAGM-Symposium, 2001)

3D Anisotropic Diffusion Filtering for Enhancing Noisy Actin Filament Fluorescence Images. - Hanno Scharr; Dietmar Uttenweiler (DAGM-Symposium, 2001)

Accurate Optical Flow in Noisy Image Sequences. - Hagen Spies; Hanno Scharr (ICCV, 2001)

Root Growth Analysis in Physiological Coordinates. - Norbert Kirchgeßner; Hagen Spies; Hanno Scharr; Uli Schurr (ICIAP, 2001)

A Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance. - Joachim Weickert; Hanno Scharr (J. Vis. Commun. Image Represent., 2002)

Noise Adaptive Channel Smoothing of Low-Dose Images. - Hanno Scharr; Michael Felsberg; Per-Erik Forssén (CVPR Workshops, 2003)

Image Statistics and Anisotropic Diffusion. - Hanno Scharr; Michael J. Black; Horst W. Haussecker (ICCV, 2003)

Optimal Filters for Extended Optical Flow. - Hanno Scharr (IWCM, 2004)

Towards a Multi-camera Generalization of Brightness Constancy. - Hanno Scharr (IWCM, 2004)

Estimation of transparent motions with physical models for additional brightness variation. - Hanno Scharr; Ingo Stuke; Cicero Mota; Erhardt Barth (EUSIPCO, 2005)

Accurate optical flow in noisy image sequences using flow adapted anisotropic diffusion. - Hanno Scharr; Hagen Spies (Signal Process. Image Commun., 2005)

Diffusion-Like Reconstruction Schemes from Linear Data Models. - Hanno Scharr (DAGM-Symposium, 2006)

Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features. - Michael Felsberg; Per-Erik Forssén; Hanno Scharr (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination. - Tobias Schuchert; Hanno Scharr (DAGM-Symposium, 2007)

Optimal second order derivative filter families for transparent motion estimation. - Hanno Scharr (EUSIPCO, 2007)

Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation. - Kai Krajsek; Rudolf Mester; Hanno Scharr (DAGM-Symposium, 2008)

Measuring Plant Root Growth. - Matthias Mühlich; Daniel Truhn; Kerstin Nagel; Achim Walter; Hanno Scharr; Til Aach (DAGM-Symposium, 2008)

An Affine Optical Flow Model for Dynamic Surface Reconstruction. - Tobias Schuchert; Hanno Scharr (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

Riemannian Anisotropic Diffusion for Tensor Valued Images. - Kai Krajsek; Marion I. Menzel; Michael Zwanger; Hanno Scharr (ECCV (4), 2008)

Range Flow for Varying Illumination. - Tobias Schuchert; Til Aach; Hanno Scharr (ECCV (1), 2008)

Building Blocks for Computer Vision with Stochastic Partial Differential Equations. - Tobias Preusser; Hanno Scharr; Kai Krajsek; Robert M. Kirby (Int. J. Comput. Vis., 2008)

Riemannian Bayesian estimation of diffusion tensor images. - Kai Krajsek; Marion I. Menzel; Hanno Scharr (ICCV, 2009)

Diffusion filtering without parameter tuning: Models and inference tools. - Kai Krajsek; Hanno Scharr (CVPR, 2010)

Estimation of 3D Object Structure, Motion and Rotation Based on 4D Affine Optical Flow Using a Multi-camera Array. - Tobias Schuchert; Hanno Scharr (ECCV (4), 2010)

Range Flow in Varying Illumination: Algorithms and Comparisons. - Tobias Schuchert; Til Aach; Hanno Scharr (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation. - Kai Krajsek; Ines Dedovic; Hanno Scharr (DAGM-Symposium, 2011)

A Short Introduction to Diffusion-Like Methods. - Hanno Scharr; Kai Krajsek (Mathematical Methods for Signal and Image Analysis and Representation, 2012)

A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI). - Kai Krajsek; Hanno Scharr (CVPR, 2012)

3D Reconstruction of Plant Roots from MRI Images. - Hannes Schulz; Johannes A. Postma; Dagmar van Dusschoten; Hanno Scharr; Sven Behnke (VISAPP (2), 2012)

Plant Root System Analysis from MRI Images. - Hannes Schulz; Johannes A. Postma; Dagmar van Dusschoten; Hanno Scharr; Sven Behnke (VISIGRAPP (Selected Papers), 2012)

A Distributed Information System for Managing Phenotyping Mass Data. - Florian Schmidt 007; Benjamin Bruns; Thomas Bode; Hanno Scharr; Armin B. Cremers (GIL Jahrestagung, 2013)

Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion. - Christian Heinemann; Freddie Åström; George Baravdish; Kai Krajsek; Michael Felsberg; Hanno Scharr (VISAPP (1), 2014)

Likelihood Functions for Errors-in-variables Models - Bias-free Local Estimation with Minimum Variance. - Kai Krajsek; Christian Heinemann; Hanno Scharr (VISAPP (3), 2014)

Adaptive sharpening of multimodal distributions. - Freddie Åström; Michael Felsberg; Hanno Scharr (CVCS, 2015)

Entwicklung einer Multi-Plattform-Benutzerschicht zur tätigkeitsbegleitenden Verwaltung von Phänotypisierungsexperimenten und Pflanzenbestandsdaten. - Benjamin Bruns; Hanno Scharr; Florian Schmidt 007 (GIL Jahrestagung, 2015)

Modeling leaf growth of rosette plants using infrared stereo image sequences. - Eren Erdal Aksoy; Alexey Abramov; Florentin Wörgötter; Hanno Scharr; Andreas Fischbach; Babette Dellen (Comput. Electron. Agric., 2015)

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]. - Massimo Minervini; Hanno Scharr; Sotirios A. Tsaftaris (IEEE Signal Process. Mag., 2015)

Growth Signatures of Rosette Plants from Time-Lapse Video. - Babette Dellen; Hanno Scharr; Carme Torras (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images. - Kai Krajsek; Marion I. Menzel; Hanno Scharr (Int. J. Comput. Vis., 2016)

Special issue on computer vision and image analysis in plant phenotyping. - Hanno Scharr; Hannah Dee; Andrew P. French; Sotirios A. Tsaftaris (Mach. Vis. Appl., 2016)

Leaf segmentation in plant phenotyping: a collation study. - Hanno Scharr; Massimo Minervini; Andrew P. French; Christian Klukas; David M. Kramer 001; Xiaoming Liu 002; Imanol Luengo; Jean-Michel Pape; Gerrit Polder; Danijela Vukadinovic; Xi Yin 001; Sotirios A. Tsaftaris (Mach. Vis. Appl., 2016)

Finely-grained annotated datasets for image-based plant phenotyping. - Massimo Minervini; Andreas Fischbach; Hanno Scharr; Sotirios A. Tsaftaris (Pattern Recognit. Lett., 2016)

ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network. - Mario Valerio Giuffrida; Hanno Scharr; Sotirios A. Tsaftaris (ICCV Workshops, 2017)

Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers. - Hanno Scharr; Tony P. Pridmore; Sotirios A. Tsaftaris (ICCV Workshops, 2017)

A cognitive architecture for automatic gardening. - Alejandro Agostini; Guillem Alenyà; Andreas Fischbach; Hanno Scharr; Florentin Wörgötter; Carme Torras (Comput. Electron. Agric., 2017)

Sun Induced Fluorescence Calibration and Validation for Field Phenotyping. - Maria Pilar Cendrero Mateo; Simon Bennertz; Andreas Burkart; Tommaso Julitta; Sergio Cogliati; Hanno Scharr; Patrick Rademske; Luis Alonso 002; Francisco Pinto; Uwe Rascher (IGARSS, 2018)

Germination Detection of Seedlings in Soil: A System, Dataset and Challenge. - Hanno Scharr; Benjamin Bruns; Andreas Fischbach; Johanna Roussel; Lukas Scholtes; Jonas vom Stein (ECCV Workshops (6), 2020)

Practically Lossless Affine Image Transformation. - Daniel Pflugfelder; Hanno Scharr (IEEE Trans. Image Process., 2020)

Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers. - Dirk Norbert Helmrich; Jens Henrik Göbbert; Mona Giraud; Hanno Scharr; Andrea Schnepf; Morris Riedel (CoRR, 2021)

Deep learning based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method. - Vsevolod Cherepashkin; Erenus Yildiz; Andreas Fischbach; Leif Kobbelt; Hanno Scharr (ICCV (Workshops), 2023)

SGD Biased towards Early Important Samples for Efficient Training. - Alessio Quercia; Abigail Morrison; Hanno Scharr; Ira Assent (ICDM, 2023)

Deep Learning Based Prediction of Sun-Induced Fluorescence from Hyplant Imagery. - Jim Buffat; Miguel Pato; Kevin Alonso 001; Stefan Auer; Emiliano Carmona; Stefan W. Maier; Rupert Müller; Patrick Rademske; Uwe Rascher; Hanno Scharr (IGARSS, 2023)

Fast Machine Learning Simulator of At-Sensor Radiances for Solar-Induced Fluorescence Retrieval with DESIS and Hyplant. - Miguel Pato; Kevin Alonso 001; Stefan Auer; Jim Buffat; Emiliano Carmona; Stefan W. Maier; Rupert Müller; Patrick Rademske; Uwe Rascher; Hanno Scharr (IGARSS, 2023)

Editorial: Computer vision in plant phenotyping and agriculture. - Ian Stavness; Mario Valerio Giuffrida; Hanno Scharr (Frontiers Artif. Intell., 2023)

Retrieval of Sun-Induced Plant Fluorescence in the O2-A Absorption Band from DESIS Imagery. - Jim Buffat; Miguel Pato; Kevin Alonso 001; Stefan Auer; Emiliano Carmona; Stefan W. Maier; Rupert Müller; Patrick Rademske; Uwe Rascher; Hanno Scharr (ECCV Workshops (3), 2024)

Tracking One-in-a-Million: Large-Scale Benchmark for Microbial Single-Cell Tracking with Experiment-Aware Robustness Metrics. - Johannes Seiffarth; Luisa Blöbaum; Richard D. Paul; Nils Friederich; Angelo Jovin Yamachui Sitcheu; Ralf Mikut; Hanno Scharr; Alexander Grünberger; Katharina Nöh (ECCV Workshops (16), 2024)

Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial Growth. - Richard D. Paul; Johannes Seiffarth; Hanno Scharr; Katharina Nöh (ISBI, 2024)

Hands-On Plant Root System Reconstruction in Virtual Reality. - Dirk Norbert Baker; Tobias Selzner; Jens Henrik Göbbert; Hanno Scharr; Morris Riedel; Ebba Þóra Hvannberg; Andrea Schnepf; Daniel Zielasko (VRST, 2024)

Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation. - Richard D. Paul; Alessio Quercia; Vincent Fortuin; Katharina Nöh; Hanno Scharr (CoRR, 2024)

EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis. - Nils Friederich; Angelo Jovin Yamachui Sitcheu; Annika Nassal; Matthias Pesch; Erenus Yildiz; Maximilian Beichter; Lukas Scholtes; Bahar Akbaba; Thomas Lautenschlager; Oliver Neumann; Dietrich Kohlheyer; Hanno Scharr; et al. (CoRR, 2024)

Untrained Perceptual Loss for image denoising of line-like structures in MR images. - Elisabeth Pfaehler; Daniel Pflugfelder; Hanno Scharr (CoRR, 2024)

Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction. - Qin Wang; Kai Krajsek; Hanno Scharr (CoRR, 2024)

ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud. - Johannes Seiffarth; Tim Scherr; Bastian Wollenhaupt; Oliver Neumann; Hanno Scharr; Dietrich Kohlheyer; Ralf Mikut; Katharina Nöh (SoftwareX, 2024)

Physics-Based Machine Learning Emulator of at-Sensor Radiances for Solar-Induced Fluorescence Retrieval in the O$_{2}$-A Absorption Band. - Miguel Pato; Jim Buffat; Kevin Alonso 001; Stefan Auer; Emiliano Carmona; Stefan W. Maier; Rupert Müller; Patrick Rademske; Uwe Rascher; Hanno Scharr (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Rescuing Easy Samples in Self-Supervised Pretraining. - Qin Wang; Kai Krajsek; Hanno Scharr (VISIGRAPP (2): VISAPP, 2025)

MRI Reconstruction with Regularized 3D Diffusion Model (R3DM). - Arya Bangun; Zhuo Cao; Alessio Quercia; Hanno Scharr; Elisabeth Pfaehler (WACV, 2025)

Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks. - Alessio Quercia; Erenus Yildiz; Zhuo Cao; Kai Krajsek; Abigail Morrison; Ira Assent; Hanno Scharr (WACV, 2025)

1LoRA: Summation Compression for Very Low-Rank Adaptation. - Alessio Quercia; Zhuo Cao; Arya Bangun; Richard D. Paul; Abigail Morrison; Ira Assent; Hanno Scharr (CoRR, 2025)

How To Make Your Cell Tracker Say "I dunno!". - Richard D. Paul; Johannes Seiffarth; David Rügamer; Hanno Scharr; Katharina Nöh (CoRR, 2025)

Self-Supervised Learning based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation. - Qin Wang; Benjamin Bruns; Hanno Scharr; Kai Krajsek (CoRR, 2025)

Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation. - Omini Rathore; Richard Paul; Abigail Morrison; Hanno Scharr; Elisabeth Pfaehler (CoRR, 2025)

EAP4EMSIG - Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis. - Nils Friederich; Angelo Jovin Yamachui Sitcheu; Annika Nassal; Erenus Yildiz; Matthias Pesch; Maximilian Beichter; Lukas Scholtes; Bahar Akbaba; Thomas Lautenschlager; Oliver Neumann; Dietrich Kohlheyer; Hanno Scharr; et al. (CoRR, 2025)