Alexander Krull
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
9
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | A Comparison of Data-Driven Shape Quantification Methods for 2D Microscopy Images. | Anna Foix Romero, Alexander Krull, Virginie Uhlmann |
| 2025 | WACV | Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise. | Benjamin Salmon, Alexander Krull |
| 2024 | ECCV | Can Virtual Staining for High-Throughput Screening Generalize? | Samuel Tonks, Cuong Q. Nguyen, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Minh Doan, Iain B. Styles, Alexander Krull |
| 2024 | MICCAI | WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration. | Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan |
| 2024 | WACV | Image Denoising and the Generative Accumulation of Photons. | Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Mller, Samuel Tonks, Leela Muppala, Ales Leonardis |
| 2023 | ICCV | μSplit: image decomposition for fluorescence microscopy. | Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug |
| 2022 | ECCV | Towards Structured Noise Models for Unsupervised Denoising. | Benjamin Salmon, Alexander Krull |
| 2021 | ICLR | Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders. | Mangal Prakash, Alexander Krull, Florian Jug |
| 2020 | ECCV | DenoiSeg: Joint Denoising and Segmentation. | Tim-Oliver Buchholz, Mangal Prakash, Deborah Schmidt, Alexander Krull, Florian Jug |
| 2020 | ECCV | Improving Blind Spot Denoising for Microscopy. | Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull |
| 2019 | CVPR | Noise2Void - Learning Denoising From Single Noisy Images. | Alexander Krull, Tim-Oliver Buchholz, Florian Jug |
| 2017 | CVPR | DSAC - Differentiable RANSAC for Camera Localization. | Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother |
| 2017 | CVPR | PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. | Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother |
| 2017 | CVPR | Global Hypothesis Generation for 6D Object Pose Estimation. | Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother |
| 2017 | ICRA | Random forests versus Neural Networks - What's best for camera localization? | Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr |
| 2016 | CVPR | Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. | Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother |
| 2015 | BMVC | Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. | Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, Carsten Rother |
| 2015 | ICCV | Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. | Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother |
| 2014 | ACCV | 6-DOF Model Based Tracking via Object Coordinate Regression. | Alexander Krull, Frank Michel, Eric Brachmann, Stefan Gumhold, Stephan Ihrke, Carsten Rother |
| 2014 | ECCV | Learning 6D Object Pose Estimation Using 3D Object Coordinates. | Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother |