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Alexander Krull
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- affiliation: University of Birmingham, UK
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2020 – today
- 2024
- [c22]Xinxing Cheng, Xi Jia, Wenqi Lu, Qiufu Li, Linlin Shen, Alexander Krull, Jinming Duan:
WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration. MICCAI (2) 2024: 761-771 - [c21]Alexander Krull
, Hector Basevi
Image Denoising and the Generative Accumulation of Photons. WACV 2024: 1517-1526 - [i19]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 abs/2407.06979 (2024) - [i18]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 abs/2407.13426 (2024) - [i17]Yehe Liu, Alexander Krull, Hector Basevi, Ales Leonardis, Michael W. Jenkins:
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction. CoRR abs/2410.23247 (2024) - 2023
- [c20]Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug:
μSplit: image decomposition for fluorescence microscopy. ICCV 2023: 21162-21172 - [c19]Benjamin Salmon, Alexander Krull:
Direct Unsupervised Denoising. ICCV (Workshops) 2023: 3840-3847 - [c18]Samuel Tonks, Chih-Yang Hsu, Steve Hood, Ryan Musso, Ceridwen Hopely, Steve Titus, Alexander Krull
Evaluating virtual staining for high-throughput screening. ISBI 2023: 1-5 - [i16]Alexander Krull, Hector Basevi
Image Denoising and the Generative Accumulation of Photons. CoRR abs/2307.06607 (2023) - [i15]Benjamin Salmon, Alexander Krull:
Unsupervised Structured Noise Removal with Variational Lossy Autoencoder. CoRR abs/2310.07887 (2023) - [i14]Benjamin Salmon, Alexander Krull:
Direct Unsupervised Denoising. CoRR abs/2310.18116 (2023) - 2022
- [c17]Benjamin Salmon
Towards Structured Noise Models for Unsupervised Denoising. ECCV Workshops (4) 2022: 379-394 - [i13]Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug
μSplit: efficient image decomposition for microscopy data. CoRR abs/2211.12872 (2022) - 2021
- [c16]Mangal Prakash, Alexander Krull, Florian Jug:
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders. ICLR 2021 - 2020
- [j1]Alexander Krull, Tomás Vicar
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. Frontiers Comput. Sci. 2: 5 (2020) - [c15]Tim-Oliver Buchholz
DenoiSeg: Joint Denoising and Segmentation. ECCV Workshops (1) 2020: 324-337 - [c14]Anna S. Goncharova
Improving Blind Spot Denoising for Microscopy. ECCV Workshops (1) 2020: 380-393 - [c13]Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug
Fully Unsupervised Probabilistic Noise2Void. ISBI 2020: 154-158 - [c12]Coleman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers:
Removing Structured Noise with Self-Supervised Blind-Spot Networks. ISBI 2020: 159-163 - [c11]Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug
Leveraging Self-supervised Denoising for Image Segmentation. ISBI 2020: 428-432 - [i12]Tim-Oliver Buchholz, Mangal Prakash, Alexander Krull, Florian Jug:
DenoiSeg: Joint Denoising and Segmentation. CoRR abs/2005.02987 (2020) - [i11]Mangal Prakash, Alexander Krull, Florian Jug:
DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders. CoRR abs/2006.06072 (2020) - [i10]Anna S. Goncharova, Alf Honigmann, Florian Jug, Alexander Krull:
Improving Blind Spot Denoising for Microscopy. CoRR abs/2008.08414 (2020)
2010 – 2019
- 2019
- [c10]Alexander Krull, Tim-Oliver Buchholz, Florian Jug
Noise2Void - Learning Denoising From Single Noisy Images. CVPR 2019: 2129-2137 - [i9]Alexander Krull, Tomás Vicar, Florian Jug:
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. CoRR abs/1906.00651 (2019) - [i8]Mangal Prakash, Tim-Oliver Buchholz, Manan Lalit, Pavel Tomancak, Florian Jug, Alexander Krull:
Leveraging Self-supervised Denoising for Image Segmentation. CoRR abs/1911.12239 (2019) - [i7]Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug:
Fully Unsupervised Probabilistic Noise2Void. CoRR abs/1911.12291 (2019) - 2018
- [i6]Alexander Krull, Tim-Oliver Buchholz, Florian Jug:
Noise2Void - Learning Denoising from Single Noisy Images. CoRR abs/1811.10980 (2018) - 2017
- [b1]Alexander Krull:
Learning Sampling-Based 6D Object Pose Estimation. Dresden University of Technology, Germany, 2017, pp. 1-138 - [c9]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CVPR 2017: 115-124 - [c8]Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. CVPR 2017: 2492-2500 - [c7]Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CVPR 2017: 2566-2574 - [c6]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: 5118-5125 - 2016
- [c5]Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. CVPR 2016: 3364-3372 - [i5]Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr:
Random Forests versus Neural Networks - What's Best for Camera Relocalization? CoRR abs/1609.05797 (2016) - [i4]Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother:
DSAC - Differentiable RANSAC for Camera Localization. CoRR abs/1611.05705 (2016) - [i3]Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother:
Global Hypothesis Generation for 6D Object Pose Estimation. CoRR abs/1612.02287 (2016) - [i2]Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother:
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning. CoRR abs/1612.03779 (2016) - 2015
- [c4]Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang
Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression. BMVC 2015: 181.1-181.11 - [c3]Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. ICCV 2015: 954-962 - [i1]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 abs/1508.04546 (2015) - 2014
- [c2]Alexander Krull, Frank Michel, Eric Brachmann, Stefan Gumhold, Stephan Ihrke, Carsten Rother:
6-DOF Model Based Tracking via Object Coordinate Regression. ACCV (4) 2014: 384-399 - [c1]Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother:
Learning 6D Object Pose Estimation Using 3D Object Coordinates. ECCV (2) 2014: 536-551
Coauthor Index
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last updated on 2024-12-01 00:19 CET by the dblp team
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