Alexander Krull

49 papers A* 10A 3Journal 22Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Proper Scoring Rule for Virtual Staining. CoRR Samuel Tonks, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Minh Doan, Iain B. Styles, Alexander Krull
2025	—	`conf`	A Comparison of Data-Driven Shape Quantification Methods for 2D Microscopy Images. ICCVW Anna Foix Romero, Alexander Krull, Virginie Uhlmann
2025	J	`jnl`	ShapeEmbed: a self-supervised learning framework for 2D contour quantification. CoRR Anna Foix Romero, Craig Russell, Alexander Krull, Virginie Uhlmann
2025	A	`conf`	Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise. WACV Benjamin Salmon, Alexander Krull
2024	—	`conf`	Can Virtual Staining for High-Throughput Screening Generalize? ECCV Workshops (16) Samuel Tonks, Cuong Q. Nguyen, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Minh Doan, Iain B. Styles, Alexander Krull
2024	J	`jnl`	Can virtual staining for high-throughput screening generalize? CoRR Samuel Tonks, Cuong Nguyer, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Minh Doan, Iain B. Styles, Alexander Krull
2024	A	`conf`	Image Denoising and the Generative Accumulation of Photons. WACV Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Müller, Samuel Tonks, Leela Muppala, Ales Leonardis
2024	—	`conf`	WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration. MICCAI (2) Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan
2024	J	`jnl`	WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration. CoRR Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan
2024	A*	`conf`	bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction. NeurIPS Yehe Liu, Alexander Krull, Hector Basevi, Ales Leonardis, Michael W. Jenkins
2024	J	`jnl`	bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction. CoRR Yehe Liu, Alexander Krull, Hector Basevi, Ales Leonardis, Michael W. Jenkins
2023	—	`conf`	Direct Unsupervised Denoising. ICCV (Workshops) Benjamin Salmon, Alexander Krull
2023	J	`jnl`	Direct Unsupervised Denoising. CoRR Benjamin Salmon, Alexander Krull
2023	—	`conf`	Evaluating virtual staining for high-throughput screening. ISBI Samuel Tonks, Chih-Yang Hsu, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Alexander Krull, Minh Doan, Iain B. Styles
2023	J	`jnl`	Image Denoising and the Generative Accumulation of Photons. CoRR Alexander Krull, Hector Basevi, Benjamin Salmon, Andre Zeug, Franziska Müller, Samuel Tonks, Leela Muppala, Ales Leonardis
2023	J	`jnl`	Unsupervised Structured Noise Removal with Variational Lossy Autoencoder. CoRR Benjamin Salmon, Alexander Krull
2023	A*	`conf`	μSplit: image decomposition for fluorescence microscopy. ICCV Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug
2022	—	`conf`	Towards Structured Noise Models for Unsupervised Denoising. ECCV Workshops (4) Benjamin Salmon, Alexander Krull
2022	J	`jnl`	μSplit: efficient image decomposition for microscopy data. CoRR Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug
2021	A*	`conf`	Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders. ICLR Mangal Prakash, Alexander Krull, Florian Jug
2020	—	`conf`	DenoiSeg: Joint Denoising and Segmentation. ECCV Workshops (1) Tim-Oliver Buchholz, Mangal Prakash, Deborah Schmidt, Alexander Krull, Florian Jug
2020	J	`jnl`	DenoiSeg: Joint Denoising and Segmentation. CoRR Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug
2020	J	`jnl`	DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders. CoRR Mangal Prakash, Alexander Krull, Florian Jug
2020	—	`conf`	Fully Unsupervised Probabilistic Noise2Void. ISBI Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
2020	—	`conf`	Improving Blind Spot Denoising for Microscopy. ECCV Workshops (1) Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull
2020	J	`jnl`	Improving Blind Spot Denoising for Microscopy. CoRR Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull
2020	—	`conf`	Leveraging Self-supervised Denoising for Image Segmentation. ISBI Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull
2020	J	`jnl`	Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. Frontiers Comput. Sci. Alexander Krull, Tomás Vicar, Mangal Prakash, Manan Lalit, Florian Jug
2020	—	`conf`	Removing Structured Noise with Self-Supervised Blind-Spot Networks. ISBI Coleman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers
2019	J	`jnl`	Fully Unsupervised Probabilistic Noise2Void. CoRR Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
2019	J	`jnl`	Leveraging Self-supervised Denoising for Image Segmentation. CoRR Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull
2019	A*	`conf`	Noise2Void - Learning Denoising From Single Noisy Images. CVPR Alexander Krull, Tim-Oliver Buchholz, Florian Jug
2019	J	`jnl`	Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. CoRR Alexander Krull, Tomás Vicar, Florian Jug
2018	J	`jnl`	Noise2Void - Learning Denoising from Single Noisy Images. CoRR Alexander Krull, Tim-Oliver Buchholz, Florian Jug
2017	A*	`conf`	DSAC - Differentiable RANSAC for Camera Localization. CVPR Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
2017	A*	`conf`	Global Hypothesis Generation for 6D Object Pose Estimation. CVPR Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
2017	—	`—`	Learning Sampling-Based 6D Object Pose Estimation. Alexander Krull
2017	A*	`conf`	PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CVPR Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
2017	A*	`conf`	Random forests versus Neural Networks - What's best for camera localization? ICRA Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr
2016	J	`jnl`	DSAC - Differentiable RANSAC for Camera Localization. CoRR Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
2016	J	`jnl`	Global Hypothesis Generation for 6D Object Pose Estimation. CoRR Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
2016	J	`jnl`	PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CoRR Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
2016	J	`jnl`	Random Forests versus Neural Networks - What's Best for Camera Relocalization? CoRR Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr
2016	A*	`conf`	Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. CVPR Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother
2015	A*	`conf`	Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. ICCV Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother
2015	J	`jnl`	Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. CoRR Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother
2015	A	`conf`	Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. BMVC Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, Carsten Rother
2014	—	`conf`	6-DOF Model Based Tracking via Object Coordinate Regression. ACCV (4) Alexander Krull, Frank Michel, Eric Brachmann, Stefan Gumhold, Stephan Ihrke, Carsten Rother
2014	—	`conf`	Learning 6D Object Pose Estimation Using 3D Object Coordinates. ECCV (2) Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother