Hanno Scharr

93 papers A* 7A 2B 1C 3Misc 1Journal 39Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
Least but not Last: Fine-tuning Intermediate Principal Components for Better Performance-Forgetting Trade-Offs.
CoRR
Alessio Quercia, Arya Bangun, Ira Assent, Hanno Scharr
2026 A* conf
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation.
AAAI
Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek
2025 J jnl
1LoRA: Summation Compression for Very Low-Rank Adaptation.
CoRR
Alessio Quercia, Zhuo Cao, Arya Bangun, Richard D. Paul, Abigail Morrison, Ira Assent, Hanno Scharr
2025 J jnl
Classifier Reconstruction Through Counterfactual-Aware Wasserstein Prototypes.
CoRR
Xuan Zhao, Zhuo Cao, Arya Bangun, Hanno Scharr, Ira Assent
2025 J jnl
EAP4EMSIG - Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis.
CoRR
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, Johannes Seiffarth, Katharina Nöh, Ralf Mikut
2025 J jnl
Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation.
CoRR
Omini Rathore, Richard Paul, Abigail Morrison, Hanno Scharr, Elisabeth Pfaehler
2025 A conf
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks.
WACV
Alessio Quercia, Erenus Yildiz, Zhuo Cao, Kai Krajsek, Abigail Morrison, Ira Assent, Hanno Scharr
2025 J jnl
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks.
CoRR
Alessio Quercia, Erenus Yildiz, Zhuo Cao, Kai Krajsek, Abigail Morrison, Ira Assent, Hanno Scharr
2025 J jnl
FlowTIE: Flow-based Transport of Intensity Equation for Phase Gradient Estimation from 4D-STEM Data.
CoRR
Arya Bangun, Maximilian Töllner, Xuan Zhao, Christian Kübel, Hanno Scharr
2025 J jnl
Focal Sampling: SGD biased towards early important samples for efficient image classification with augmentation selection.
Knowl. Inf. Syst.
Alessio Quercia, Fernanda Nader, Abigail Morrison, Hanno Scharr, Ira Assent
2025 J jnl
Galaxy Morphology Classification with Counterfactual Explanation.
CoRR
Zhuo Cao, Lena Krieger, Hanno Scharr, Ira Assent
2025 J jnl
How To Make Your Cell Tracker Say "I dunno!".
CoRR
Richard D. Paul, Johannes Seiffarth, David Rügamer, Hanno Scharr, Katharina Nöh
2025 J jnl
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching.
CoRR
Zhuo Cao, Xuan Zhao, Lena Krieger, Hanno Scharr, Ira Assent
2025 A conf
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM).
WACV
Arya Bangun, Zhuo Cao, Alessio Quercia, Hanno Scharr, Elisabeth Pfaehler
2025 J jnl
Physics-Guided Diffusion Priors for Multi-Slice Reconstruction in Scientific Imaging.
CoRR
Laurentius Valdy, Richard D. Paul, Alessio Quercia, Zhuo Cao, Xuan Zhao, Hanno Scharr, Arya Bangun
2025 — conf
Rescuing Easy Samples in Self-Supervised Pretraining.
VISIGRAPP (2): VISAPP
Qin Wang, Kai Krajsek, Hanno Scharr
2025 J jnl
Self-Supervised Learning based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation.
CoRR
Qin Wang, Benjamin Bruns, Hanno Scharr, Kai Krajsek
2024 J jnl
EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis.
CoRR
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, Johannes Seiffarth, Katharina Nöh, Ralf Mikut
2024 J jnl
Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction.
CoRR
Qin Wang, Kai Krajsek, Hanno Scharr
2024 B conf
Hands-On Plant Root System Reconstruction in Virtual Reality.
VRST
Dirk Norbert Baker, Tobias Selzner, Jens Henrik Göbbert, Hanno Scharr, Morris Riedel, Ebba Þóra Hvannberg, Andrea Schnepf, Daniel Zielasko
2024 J jnl
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM).
CoRR
Arya Bangun, Zhuo Cao, Alessio Quercia, Hanno Scharr, Elisabeth Pfaehler
2024 J jnl
ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud.
SoftwareX
Johannes Seiffarth, Tim Scherr, Bastian Wollenhaupt, Oliver Neumann, Hanno Scharr, Dietrich Kohlheyer, Ralf Mikut, Katharina Nöh
2024 J jnl
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation.
CoRR
Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr
2024 J jnl
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.
Miguel Pato, Jim Buffat, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan W. Maier, Rupert Müller, Patrick Rademske, Uwe Rascher, Hanno Scharr
2024 — conf
Retrieval of Sun-Induced Plant Fluorescence in the O
ECCV Workshops (3)
Jim Buffat, Miguel Pato, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan W. Maier, Rupert Müller, Patrick Rademske, Uwe Rascher, Hanno Scharr
2024 J jnl
Retrieval of sun-induced plant fluorescence in the O
CoRR
Jim Buffat, Miguel Pato, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan W. Maier, Rupert Müller, Patrick Rademske, Uwe Rascher, Hanno Scharr
2024 — conf
Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial Growth.
ISBI
Richard D. Paul, Johannes Seiffarth, Hanno Scharr, Katharina Nöh
2024 — conf
Tracking One-in-a-Million: Large-Scale Benchmark for Microbial Single-Cell Tracking with Experiment-Aware Robustness Metrics.
ECCV Workshops (16)
Johannes Seiffarth, Luisa Blöbaum, Richard D. Paul, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Ralf Mikut, Hanno Scharr, Alexander Grünberger, Katharina Nöh
2024 J jnl
Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics.
CoRR
Johannes Seiffarth, Luisa Blöbaum, Richard D. Paul, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Ralf Mikut, Hanno Scharr, Alexander Grünberger, Katharina Nöh
2024 J jnl
Untrained Perceptual Loss for image denoising of line-like structures in MR images.
CoRR
Elisabeth Pfaehler, Daniel Pflugfelder, Hanno Scharr
2023 C conf
Deep Learning Based Prediction of Sun-Induced Fluorescence from Hyplant Imagery.
IGARSS
Jim Buffat, Miguel Pato, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan W. Maier, Rupert Müller, Patrick Rademske, Uwe Rascher, Hanno Scharr
2023 — conf
Deep learning based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method.
ICCV (Workshops)
Vsevolod Cherepashkin, Erenus Yildiz, Andreas Fischbach, Leif Kobbelt, Hanno Scharr
2023 J jnl
Editorial: Computer vision in plant phenotyping and agriculture.
Frontiers Artif. Intell.
Ian Stavness, Mario Valerio Giuffrida, Hanno Scharr
2023 C conf
Fast Machine Learning Simulator of At-Sensor Radiances for Solar-Induced Fluorescence Retrieval with DESIS and Hyplant.
IGARSS
Miguel Pato, Kevin Alonso, Stefan Auer, Jim Buffat, Emiliano Carmona, Stefan W. Maier, Rupert Müller, Patrick Rademske, Uwe Rascher, Hanno Scharr
2023 A* conf
SGD Biased towards Early Important Samples for Efficient Training.
ICDM
Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent
2021 J jnl
Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers.
CoRR
Dirk Norbert Helmrich, Jens Henrik Göbbert, Mona Giraud, Hanno Scharr, Andrea Schnepf, Morris Riedel
2020 — conf
Germination Detection of Seedlings in Soil: A System, Dataset and Challenge.
ECCV Workshops (6)
Hanno Scharr, Benjamin Bruns, Andreas Fischbach, Johanna Roussel, Lukas Scholtes, Jonas vom Stein
2020 J jnl
Practically Lossless Affine Image Transformation.
IEEE Trans. Image Process.
Daniel Pflugfelder, Hanno Scharr
2018 C conf
Sun Induced Fluorescence Calibration and Validation for Field Phenotyping.
IGARSS
Maria Pilar Cendrero Mateo, Simon Bennertz, Andreas Burkart, Tommaso Julitta, Sergio Cogliati, Hanno Scharr, Patrick Rademske, Luis Alonso, Francisco Pinto, Uwe Rascher
2017 J jnl
A cognitive architecture for automatic gardening.
Comput. Electron. Agric.
Alejandro Agostini, Guillem Alenyà, Andreas Fischbach, Hanno Scharr, Florentin Wörgötter, Carme Torras
2017 — conf
ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network.
ICCV Workshops
Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris
2017 J jnl
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network.
CoRR
Mario Valerio Giuffrida, Hanno Scharr, Sotirios A. Tsaftaris
2017 — conf
Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers.
ICCV Workshops
Hanno Scharr, Tony P. Pridmore, Sotirios A. Tsaftaris
2016 J jnl
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images.
Int. J. Comput. Vis.
Kai Krajsek, Marion I. Menzel, Hanno Scharr
2016 J jnl
Finely-grained annotated datasets for image-based plant phenotyping.
Pattern Recognit. Lett.
Massimo Minervini, Andreas Fischbach, Hanno Scharr, Sotirios A. Tsaftaris
2016 J jnl
Leaf segmentation in plant phenotyping: a collation study.
Mach. Vis. Appl.
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
2016 J jnl
Special issue on computer vision and image analysis in plant phenotyping.
Mach. Vis. Appl.
Hanno Scharr, Hannah M. Dee, Andrew P. French, Sotirios A. Tsaftaris
2015 — conf
Adaptive sharpening of multimodal distributions.
CVCS
Freddie Åström, Michael Felsberg, Hanno Scharr
2015 — conf
Entwicklung einer Multi-Plattform-Benutzerschicht zur tätigkeitsbegleitenden Verwaltung von Phänotypisierungsexperimenten und Pflanzenbestandsdaten.
GIL Jahrestagung
Benjamin Bruns, Hanno Scharr, Florian Schmidt
2015 J jnl
Growth Signatures of Rosette Plants from Time-Lapse Video.
IEEE ACM Trans. Comput. Biol. Bioinform.
Babette Dellen, Hanno Scharr, Carme Torras
2015 J jnl
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner].
IEEE Signal Process. Mag.
Massimo Minervini, Hanno Scharr, Sotirios A. Tsaftaris
2015 J jnl
Modeling leaf growth of rosette plants using infrared stereo image sequences.
Comput. Electron. Agric.
Eren Erdal Aksoy, Alexey Abramov, Florentin Wörgötter, Hanno Scharr, Andreas Fischbach, Babette Dellen
2014 — conf
Likelihood Functions for Errors-in-variables Models - Bias-free Local Estimation with Minimum Variance.
VISAPP (3)
Kai Krajsek, Christian Heinemann, Hanno Scharr
2014 — conf
Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion.
VISAPP (1)
Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr
2013 — conf
A Distributed Information System for Managing Phenotyping Mass Data.
GIL Jahrestagung
Florian Schmidt, Benjamin Bruns, Thomas Bode, Hanno Scharr, Armin B. Cremers
2012 — conf
3D Reconstruction of Plant Roots from MRI Images.
VISAPP (2)
Hannes Schulz, Johannes A. Postma, Dagmar van Dusschoten, Hanno Scharr, Sven Behnke
2012 A* conf
A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI).
CVPR
Kai Krajsek, Hanno Scharr
2012 — ch.
A Short Introduction to Diffusion-Like Methods.
Mathematical Methods for Signal and Image Analysis and Representation
Hanno Scharr, Kai Krajsek
2012 — conf
Plant Root System Analysis from MRI Images.
VISIGRAPP (Selected Papers)
Hannes Schulz, Johannes A. Postma, Dagmar van Dusschoten, Hanno Scharr, Sven Behnke
2011 — conf
An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation.
DAGM-Symposium
Kai Krajsek, Ines Dedovic, Hanno Scharr
2010 A* conf
Diffusion filtering without parameter tuning: Models and inference tools.
CVPR
Kai Krajsek, Hanno Scharr
2010 — conf
Estimation of 3D Object Structure, Motion and Rotation Based on 4D Affine Optical Flow Using a Multi-camera Array.
ECCV (4)
Tobias Schuchert, Hanno Scharr
2010 J jnl
Range Flow in Varying Illumination: Algorithms and Comparisons.
IEEE Trans. Pattern Anal. Mach. Intell.
Tobias Schuchert, Til Aach, Hanno Scharr
2009 A* conf
Riemannian Bayesian estimation of diffusion tensor images.
ICCV
Kai Krajsek, Marion I. Menzel, Hanno Scharr
2008 — conf
An Affine Optical Flow Model for Dynamic Surface Reconstruction.
Statistical and Geometrical Approaches to Visual Motion Analysis
Tobias Schuchert, Hanno Scharr
2008 J jnl
Building Blocks for Computer Vision with Stochastic Partial Differential Equations.
Int. J. Comput. Vis.
Tobias Preusser, Hanno Scharr, Kai Krajsek, Robert M. Kirby
2008 — conf
Measuring Plant Root Growth.
DAGM-Symposium
Matthias Mühlich, Daniel Truhn, Kerstin Nagel, Achim Walter, Hanno Scharr, Til Aach
2008 — conf
Range Flow for Varying Illumination.
ECCV (1)
Tobias Schuchert, Til Aach, Hanno Scharr
2008 — conf
Riemannian Anisotropic Diffusion for Tensor Valued Images.
ECCV (4)
Kai Krajsek, Marion I. Menzel, Michael Zwanger, Hanno Scharr
2008 — conf
Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation.
DAGM-Symposium
Kai Krajsek, Rudolf Mester, Hanno Scharr
2007 — conf
Optimal second order derivative filter families for transparent motion estimation.
EUSIPCO
Hanno Scharr
2007 — conf
Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination.
DAGM-Symposium
Tobias Schuchert, Hanno Scharr
2006 J jnl
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features.
IEEE Trans. Pattern Anal. Mach. Intell.
Michael Felsberg, Per-Erik Forssén, Hanno Scharr
2006 — ed.
Complex Motion, First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004. Revised Papers
IWCM
Bernd Jähne, Rudolf Mester, Erhardt Barth, Hanno Scharr
2006 — conf
Diffusion-Like Reconstruction Schemes from Linear Data Models.
DAGM-Symposium
Hanno Scharr
2005 J jnl
Accurate optical flow in noisy image sequences using flow adapted anisotropic diffusion.
Signal Process. Image Commun.
Hanno Scharr, Hagen Spies
2005 — conf
Estimation of transparent motions with physical models for additional brightness variation.
EUSIPCO
Hanno Scharr, Ingo Stuke, Cicero Mota, Erhardt Barth
2004 — conf
Optimal Filters for Extended Optical Flow.
IWCM
Hanno Scharr
2004 — conf
Towards a Multi-camera Generalization of Brightness Constancy.
IWCM
Hanno Scharr
2003 A* conf
Image Statistics and Anisotropic Diffusion.
ICCV
Hanno Scharr, Michael J. Black, Horst W. Haussecker
2003 — conf
Noise Adaptive Channel Smoothing of Low-Dose Images.
CVPR Workshops
Hanno Scharr, Michael Felsberg, Per-Erik Forssén
2002 J jnl
A Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance.
J. Vis. Commun. Image Represent.
Joachim Weickert, Hanno Scharr
2001 — conf
3D Anisotropic Diffusion Filtering for Enhancing Noisy Actin Filament Fluorescence Images.
DAGM-Symposium
Hanno Scharr, Dietmar Uttenweiler
2001 A* conf
Accurate Optical Flow in Noisy Image Sequences.
ICCV
Hagen Spies, Hanno Scharr
2001 Misc conf
Root Growth Analysis in Physiological Coordinates.
ICIAP
Norbert Kirchgeßner, Hagen Spies, Hanno Scharr, Uli Schurr
2001 — conf
Root Growth Measurements in Object Coordinates.
DAGM-Symposium
Norbert Kirchgeßner, Hagen Spies, Hanno Scharr, Uli Schurr
2000 — conf
3D-Modellierung von Pflanzenblättern mittels eines Depth-from-Motion-Verfahrens.
DAGM-Symposium
Norbert Kirchgeßner, Hanno Scharr, Uli Schurr
2000 — conf
An Anisotropic Diffusion Algorithm with Optimized Rotation Invariance.
DAGM-Symposium
Hanno Scharr, Joachim Weickert
2000 — conf
Dense Structure Estimation via Regularised Optical Flow.
VMV
Hagen Spies, Norbert Kirchgeßner, Hanno Scharr, Bernd Jähne
2000 — conf
Flame Front Analysis in Turbulent Combustion.
DAGM-Symposium
Hanno Scharr, Bernd Jähne, Stefan Böckle, Jan Kazenwadel, Thomas Kunzelmann, Christof Schulz
2000 — —
Optimal operators in digital image processing.
Hanno Scharr
1998 — conf
Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques.
ECCV (2)
Bernd Jähne, Horst W. Haussecker, Hanno Scharr, Hagen Spies, Dominik Schmundt, Uli Schurr
1997 — conf
Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung.
DAGM-Symposium
Hanno Scharr, Stefan Körkel, Bernd Jähne