Alexander Krull

According to our database, Alexander Krull authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Image Denoising and the Generative Accumulation of Photons.

Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Müller, Samuel Tonks, Leela Muppala, Ales Leonardis

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Unsupervised Structured Noise Removal with Variational Lossy Autoencoder.

Benjamin Salmon, Alexander Krull

CoRR, 2023

Evaluating virtual staining for high-throughput screening.

Samuel Tonks, Chih-Yang Hsu, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Alexander Krull, Minh Doan, Iain B. Styles

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Direct Unsupervised Denoising.

Benjamin Salmon, Alexander Krull

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

μSplit: image decomposition for fluorescence microscopy.

Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

μSplit: efficient image decomposition for microscopy data.

Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug

CoRR, 2022

Towards Structured Noise Models for Unsupervised Denoising.

Benjamin Salmon, Alexander Krull

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders.

Mangal Prakash, Alexander Krull, Florian Jug

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising.

Alexander Krull, Tomás Vicar, Mangal Prakash, Manan Lalit, Florian Jug

Frontiers Comput. Sci., 2020

DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders.

Mangal Prakash, Alexander Krull, Florian Jug

CoRR, 2020

DenoiSeg: Joint Denoising and Segmentation.

Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug

CoRR, 2020

Fully Unsupervised Probabilistic Noise2Void.

Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Leveraging Self-supervised Denoising for Image Segmentation.

Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Removing Structured Noise with Self-Supervised Blind-Spot Networks.

Coleman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Improving Blind Spot Denoising for Microscopy.

Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DenoiSeg: Joint Denoising and Segmentation.

Tim-Oliver Buchholz, Mangal Prakash, Deborah Schmidt, Alexander Krull, Florian Jug

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising.

Alexander Krull, Tomás Vicar, Florian Jug

CoRR, 2019

Noise2Void - Learning Denoising From Single Noisy Images.

Alexander Krull, Tim-Oliver Buchholz, Florian Jug

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Learning Sampling-Based 6D Object Pose Estimation.

Alexander Krull

PhD thesis, 2017

Random forests versus Neural Networks - What's best for camera localization?

Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Global Hypothesis Generation for 6D Object Pose Estimation.

Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning.

Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DSAC - Differentiable RANSAC for Camera Localization.

Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Random Forests versus Neural Networks - What's Best for Camera Relocalization?

Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr

CoRR, 2016

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

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

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression.

Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, Carsten Rother

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Learning 6D Object Pose Estimation Using 3D Object Coordinates.

Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother

Proceedings of the Computer Vision - ECCV 2014, 2014

6-DOF Model Based Tracking via Object Coordinate Regression.

Alexander Krull, Frank Michel, Eric Brachmann, Stefan Gumhold, Stephan Ihrke, Carsten Rother

Proceedings of the Computer Vision - ACCV 2014, 2014