Alexander Krull

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Venues

Dresden University of Technology, Germany (PHD)

Education History

Dresden University of Technology, Germany

PHD

Publications

Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan
WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration. CoRR (2024)
Samuel Tonks, Cuong Nguyer, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Minh Doan, Iain B. Styles, Alexander Krull
Can virtual staining for high-throughput screening generalize? CoRR (2024)
Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Müller, Samuel Tonks, Leela Muppala, Ales Leonardis
Image Denoising and the Generative Accumulation of Photons. WACV (2024)
Benjamin Salmon, Alexander Krull
Direct Unsupervised Denoising. ICCV (Workshops) (2023)
Benjamin Salmon, Alexander Krull
Direct Unsupervised Denoising. CoRR (2023)
Benjamin Salmon, Alexander Krull
Unsupervised Structured Noise Removal with Variational Lossy Autoencoder. CoRR (2023)
Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug
μSplit: image decomposition for fluorescence microscopy. ICCV (2023)
Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Müller, Samuel Tonks, Leela Muppala, Ales Leonardis
Image Denoising and the Generative Accumulation of Photons. CoRR (2023)
Samuel Tonks, Chih-Yang Hsu, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Alexander Krull, Minh Doan, Iain Styles
Evaluating virtual staining for high-throughput screening. ISBI (2023)
Benjamin Salmon, Alexander Krull
Towards Structured Noise Models for Unsupervised Denoising. ECCV Workshops (4) (2022)
Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug
μSplit: efficient image decomposition for microscopy data. CoRR (2022)
Mangal Prakash, Alexander Krull, Florian Jug
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders. ICLR (2021)
Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull
Improving Blind Spot Denoising for Microscopy. CoRR (2020)
Mangal Prakash, Alexander Krull, Florian Jug
DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders. CoRR (2020)
Tim-Oliver Buchholz, Mangal Prakash, Deborah Schmidt, Alexander Krull, Florian Jug
DenoiSeg: Joint Denoising and Segmentation. ECCV Workshops (1) (2020)
Coleman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers
Removing Structured Noise with Self-Supervised Blind-Spot Networks. ISBI (2020)
Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
Fully Unsupervised Probabilistic Noise2Void. ISBI (2020)
Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull
Leveraging Self-supervised Denoising for Image Segmentation. ISBI (2020)
Alexander Krull, Tomás Vicar, Mangal Prakash, Manan Lalit, Florian Jug
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. Frontiers Comput. Sci. 2 (2020)
Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug
DenoiSeg: Joint Denoising and Segmentation. CoRR (2020)
Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull
Improving Blind Spot Denoising for Microscopy. ECCV Workshops (1) (2020)
Alexander Krull, Tim-Oliver Buchholz, Florian Jug
Noise2Void - Learning Denoising From Single Noisy Images. CVPR (2019)
Alexander Krull, Tomás Vicar, Florian Jug
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. CoRR (2019)
Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull
Leveraging Self-supervised Denoising for Image Segmentation. CoRR (2019)
Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
Fully Unsupervised Probabilistic Noise2Void. CoRR (2019)
Alexander Krull, Tim-Oliver Buchholz, Florian Jug
Noise2Void - Learning Denoising from Single Noisy Images. CoRR (2018)
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR (2017)
Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CVPR (2017)
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
DSAC - Differentiable RANSAC for Camera Localization. CVPR (2017)
Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr
Random forests versus Neural Networks - What's best for camera localization? ICRA (2017)
Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr
Random Forests versus Neural Networks - What's Best for Camera Relocalization? CoRR (2016)
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
DSAC - Differentiable RANSAC for Camera Localization. CoRR (2016)
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
Global Hypothesis Generation for 6D Object Pose Estimation. CoRR (2016)
Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CoRR (2016)
Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. CVPR (2016)
Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. ICCV (2015)
Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, Carsten Rother
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. BMVC (2015)
Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. CoRR (2015)
Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother
Learning 6D Object Pose Estimation Using 3D Object Coordinates. ECCV (2) (2014)
Alexander Krull, Frank Michel, Eric Brachmann, Stefan Gumhold, Stephan Ihrke, Carsten Rother
6-DOF Model Based Tracking via Object Coordinate Regression. ACCV (4) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Krull