← Authors

Fred A. Hamprecht

26 papers · 2011–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (7) πŸ—ΊοΈ Taxonomy Completionist (57) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (14) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter πŸ’Ž Century Club (26) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (119)

Conferences

NIPS (10) CVPR (9) ICCV (3) ECCV (1) ICLR (1) MICCAI (1) UAI (1)

Top co-authors

Ferran Diego (4) Enrique Fita Sanmartin (4) Thorsten Beier (3) Lorenzo Cerrone (3) Sebastian Damrich (3) Constantin Pape (2) Melih Kandemir (2) Anna Kreshuk (2) Peter Lippmann (2) Sven Peter (2)

Keywords

image segmentation (4) random walker (3) weakly supervised learning (3) semi-supervised learning (3) seeded segmentation (3) sparse representation (2) spike timing (2) calcium imaging (2) cell tracking (2) structured learning (2) gradient boosting (2) combinatorial optimization (2) object tracking (2) spanning forest (2) graph partitioning (2) convolutional neural network (2) variational inference (2) optimal transport (1) budget-aware learning (1) graph theory (1)

Papers

Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing ICLR 2025
Truth is Universal: Robust Detection of Lies in LLMs NIPS 2024
SynCellFactory: Generative Data Augmentation for Cell Tracking MICCAI 2024
GASP, a Generalized Framework for Agglomerative Clustering of Signed Graphs and Its Application to Instance Segmentation CVPR 2022
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources NIPS 2022
CellTypeGraph: A New Geometric Computer Vision Benchmark CVPR 2022
On UMAP's True Loss Function NIPS 2021
Directed Probabilistic Watershed NIPS 2021
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice ICCV 2021
Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed ECCV 2020
End-To-End Learned Random Walker for Seeded Image Segmentation CVPR 2019
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation UAI 2019
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning NIPS 2019
Learning Steerable Filters for Rotation Equivariant CNNs CVPR 2018
Variational Bayesian Multiple Instance Learning With Gaussian Processes CVPR 2017
Sparse convolutional coding for neuronal assembly detection NIPS 2017
Cost efficient gradient boosting NIPS 2017
Structured Regression Gradient Boosting CVPR 2016
Fusion Moves for Correlation Clustering CVPR 2015
Tracking Indistinguishable Translucent Objects over Time using Weakly Supervised Structured Learning CVPR 2014
Cut, Glue & Cut: A Fast, Approximate Solver for Multicut Partitioning CVPR 2014
Sparse Space-Time Deconvolution for Calcium Image Analysis NIPS 2014
Learning Multi-level Sparse Representations NIPS 2013
Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria ICCV 2013
Conservation Tracking ICCV 2013
Structured Learning for Cell Tracking NIPS 2011