Fred A. Hamprecht
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
10
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing. | Peter Lippmann, Gerrit Gerhartz, Roman Remme, Fred A. Hamprecht |
| 2024 | MICCAI | SynCellFactory: Generative Data Augmentation for Cell Tracking. | Moritz Sturm, Lorenzo Cerrone, Fred A. Hamprecht |
| 2023 | ICLR | From $t$-SNE to UMAP with contrastive learning. | Sebastian Damrich, Jan Niklas Bhm, Fred A. Hamprecht, Dmitry Kobak |
| 2023 | ICML | Geometric Autoencoders - What You See is What You Decode. | Philipp Nazari, Sebastian Damrich, Fred A. Hamprecht |
| 2022 | CVPR | GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation. | Alberto Bailoni, Constantin Pape, Nathan Htsch, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht |
| 2022 | CVPR | CellTypeGraph: A New Geometric Computer Vision Benchmark. | Lorenzo Cerrone, Athul Vijayan, Tejasvinee Mody, Kay Schneitz, Fred A. Hamprecht |
| 2022 | ICML | The Algebraic Path Problem for Graph Metrics. | Enrique Fita Sanmartn, Sebastian Damrich, Fred A. Hamprecht |
| 2021 | ICCV | Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice. | Erik Jenner, Enrique Fita Sanmartn, Fred A. Hamprecht |
| 2020 | BMVC | Inpainting Networks Learn to Separate Cells in Microscopy Images. | Steffen Wolf, Fred A. Hamprecht, Jan Funke |
| 2020 | ECCV | The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation. | Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht |
| 2020 | MICCAI | DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging. | Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht |
| 2019 | CVPR | End-To-End Learned Random Walker for Seeded Image Segmentation. | Lorenzo Cerrone, Alexander Zeilmann, Fred A. Hamprecht |
| 2019 | ICLR | LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos. | Elke Kirschbaum, Manuel Haumann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht |
| 2019 | ICML | On the Spectral Bias of Neural Networks. | Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville |
| 2019 | IJCAI | Deep Active Learning with Adaptive Acquisition. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2019 | UAI | Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2018 | CVPR | Learning Steerable Filters for Rotation Equivariant CNNs. | Maurice Weiler, Fred A. Hamprecht, Martin Storath |
| 2018 | ECCV | The Mutex Watershed: Efficient, Parameter-Free Image Partitioning. | Steffen Wolf, Constantin Pape, Alberto Bailoni, Nasim Rahaman, Anna Kreshuk, Ullrich Kthe, Fred A. Hamprecht |
| 2018 | ICML | Essentially No Barriers in Neural Network Energy Landscape. | Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred A. Hamprecht |
| 2017 | CVPR | Variational Bayesian Multiple Instance Learning with Gaussian Processes. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2017 | ICCV | Learned Watershed: End-to-End Learning of Seeded Segmentation. | Steffen Wolf, Lukas Schott, Ullrich Kthe, Fred A. Hamprecht |
| 2016 | BMVC | Variational Weakly Supervised Gaussian Processes. | Melih Kandemir, Manuel Haumann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht |
| 2016 | CVPR | Structured Regression Gradient Boosting. | Ferran Diego, Fred A. Hamprecht |
| 2016 | ECCV | An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem. | Thorsten Beier, Bjrn Andres, Ullrich Kthe, Fred A. Hamprecht |
| 2016 | ECCV | Gaussian Process Density Counting from Weak Supervision. | Matthias von Borstel, Melih Kandemir, Philip Schmidt, Madhavi K. Rao, Kumar T. Rajamani, Fred A. Hamprecht |
| 2016 | ECCV | A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets. | Carsten Haubold, Janez Ales, Steffen Wolf, Fred A. Hamprecht |
| 2016 | ECCV | Learning Diverse Models: The Coulomb Structured Support Vector Machine. | Martin Schiegg, Ferran Diego, Fred A. Hamprecht |
| 2015 | CVPR | Fusion moves for correlation clustering. | Thorsten Beier, Fred A. Hamprecht, Jrg H. Kappes |
| 2015 | MICCAI | Learning to Segment: Training Hierarchical Segmentation under a Topological Loss. | Jan Funke, Fred A. Hamprecht, Chong Zhang |
| 2015 | MICCAI | Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations. | Melih Kandemir, Christian Wojek, Fred A. Hamprecht |
| 2015 | MICCAI | Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain. | Anna Kreshuk, Jan Funke, Albert Cardona, Fred A. Hamprecht |
| 2014 | CVPR | Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning. | Thorsten Beier, Thorben Krger, Jrg H. Kappes, Ullrich Kthe, Fred A. Hamprecht |
| 2014 | CVPR | Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning. | Luca Fiaschi, Ferran Diego Andilla, Konstantin Gregor, Martin Schiegg, Ullrich Kthe, Marta Zlatic, Fred A. Hamprecht |
| 2014 | ICPR | Multiple Instance Learning with Response-Optimized Random Forests. | Christoph N. Straehle, Melih Kandemir, Ullrich Kthe, Fred A. Hamprecht |
| 2014 | MICCAI | Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. | Melih Kandemir, Jos C. Rubio, Ute Schmidt, Christian Wojek, Johannes Welbl, Bjrn Ommer, Fred A. Hamprecht |
| 2014 | MICCAI | Empowering Multiple Instance Histopathology Cancer Diagnosis by Cell Graphs. | Melih Kandemir, Chong Zhang, Fred A. Hamprecht |
| 2014 | MICCAI | Cell Detection and Segmentation Using Correlation Clustering. | Chong Zhang, Julian Yarkony, Fred A. Hamprecht |
| 2014 | UAI | Instance Label Prediction by Dirichlet Process Multiple Instance Learning. | Melih Kandemir, Fred A. Hamprecht |
| 2013 | CVPR | A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. | Jrg H. Kappes, Bjrn Andres, Fred A. Hamprecht, Christoph Schnrr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother |
| 2013 | ICCV | Conservation Tracking. | Martin Schiegg, Philipp Hanslovsky, Bernhard X. Kausler, Lars Hufnagel, Fred A. Hamprecht |
| 2013 | ICCV | Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria. | Christoph N. Straehle, Ullrich Kthe, Fred A. Hamprecht |
| 2013 | MICCAI | Learning to Segment Neurons with Non-local Quality Measures. | Thorben Krger, Shawn Mikula, Winfried Denk, Ullrich Kthe, Fred A. Hamprecht |
| 2012 | CVPR | Efficient automatic 3D-reconstruction of branching neurons from EM data. | Jan Funke, Bjrn Andres, Fred A. Hamprecht, Albert Cardona, Matthew Cook |
| 2012 | CVPR | Learning to segment dense cell nuclei with shape prior. | Xinghua Lou, Ullrich Kthe, Jochen Wittbrodt, Fred A. Hamprecht |
| 2012 | CVPR | Seeded watershed cut uncertainty estimators for guided interactive segmentation. | Christoph N. Straehle, Ullrich Kthe, Graham Knott, Kevin L. Briggman, Winfried Denk, Fred A. Hamprecht |
| 2012 | ECCV | Globally Optimal Closed-Surface Segmentation for Connectomics. | Bjrn Andres, Thorben Krger, Kevin L. Briggman, Winfried Denk, Natalya Korogod, Graham Knott, Ullrich Kthe, Fred A. Hamprecht |
| 2012 | ECCV | The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models. | Bjrn Andres, Jrg H. Kappes, Thorsten Beier, Ullrich Kthe, Fred A. Hamprecht |
| 2012 | ECCV | A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. | Bernhard X. Kausler, Martin Schiegg, Bjrn Andres, Martin S. Lindner, Ullrich Kthe, Heike Leitte, Jochen Wittbrodt, Lars Hufnagel, Fred A. Hamprecht |
| 2012 | ICML | Structured Learning from Partial Annotations. | Xinghua Lou, Fred A. Hamprecht |
| 2012 | ICPR | Learning to count with regression forest and structured labels. | Luca Fiaschi, Ullrich Kthe, Rahul Nair, Fred A. Hamprecht |
| 2012 | ICPR | Learning-based mitotic cell detection in histopathological images. | Christoph Sommer, Luca Fiaschi, Fred A. Hamprecht, Daniel Gerlich |
| 2012 | MICCAI | Quality Classification of Microscopic Imagery with Weakly Supervised Learning. | Xinghua Lou, Luca Fiaschi, Ullrich Kthe, Fred A. Hamprecht |
| 2012 | UAI | Active Learning with Distributional Estimates. | Jens Rder, Boaz Nadler, Kevin Kunzmann, Fred A. Hamprecht |
| 2011 | ICCV | Probabilistic image segmentation with closedness constraints. | Bjrn Andres, Jrg H. Kappes, Thorsten Beier, Ullrich Kthe, Fred A. Hamprecht |
| 2011 | MICCAI | Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images. | Christoph N. Straehle, Ullrich Kthe, Graham Knott, Fred A. Hamprecht |
| 2010 | MICCAI | Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations. | Frederik O. Kaster, Bjoern H. Menze, Marc-Andr Weber, Fred A. Hamprecht |
| 2008 | CVPR | On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. | Bjrn Andres, Claudia Kondermann, Daniel Kondermann, Ullrich Kthe, Fred A. Hamprecht, Christoph S. Garbe |
| 2006 | CVPR | Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM. | B. Michael Kelm, Natalie Mueller, Bjoern H. Menze, Fred A. Hamprecht |