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ORCIDAlexander S. Ecker
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- affiliation: University of Göttingen, Department of Computer Science, Germany
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2020 – today
- 2024
[c15]Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker:
Most discriminative stimuli for functional cell type clustering. ICLR 2024- [i19]Max F. Burg, Thomas Zenkel, Michaela Vystrcilová, Jonathan Oesterle, Larissa Höfling, Konstantin F. Willeke, Jan Lause, Sarah Müller, Paul G. Fahey, Zhiwei Ding, Kelli Restivo, Shashwat Sridhar, Tim Gollisch, Philipp Berens, Andreas S. Tolias, Thomas Euler, Matthias Bethge, Alexander S. Ecker:
Most discriminative stimuli for functional cell type identification. CoRR abs/2401.05342 (2024) - [i18]Richard Vogg, Timo Lüddecke, Jonathan Henrich, Sharmita Dey, Matthias Nuske, Valentin Hassler, Derek Murphy, Julia Fischer, Julia Ostner, Oliver Schülke, Peter M. Kappeler, Claudia Fichtel, Alexander Gail, Stefan Treue, Hansjörg Scherberger, Florentin Wörgötter, Alexander S. Ecker:
Computer Vision for Primate Behavior Analysis in the Wild. CoRR abs/2401.16424 (2024) - 2023
- [j8]Tao Jiang
, Maximilian Freudenberg, Christoph Kleinn, Alexander S. Ecker, Nils Nölke:
The Impacts of Quality-Oriented Dataset Labeling on Tree Cover Segmentation Using U-Net: A Case Study in WorldView-3 Imagery. Remote. Sens. 15(6): 1691 (2023) - [j7]Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker:
Self-Supervised Graph Representation Learning for Neuronal Morphologies. Trans. Mach. Learn. Res. 2023 (2023) - [i17]Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker:
TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds. CoRR abs/2309.08471 (2023) - 2022
- [c14]Timo Lüddecke, Alexander S. Ecker:
Image Segmentation Using Text and Image Prompts. CVPR 2022: 7076-7086 - [i16]Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz:
The Sensorium competition on predicting large-scale mouse primary visual cortex activity. CoRR abs/2206.08666 (2022) - 2021
- [j6]Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker:
Benchmarking Unsupervised Object Representations for Video Sequences. J. Mach. Learn. Res. 22: 183:1-183:61 (2021) - [j5]Max F. Burg, Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker:
Learning divisive normalization in primary visual cortex. PLoS Comput. Biol. 17(6) (2021) - [c13]Timo Lüddecke, Alexander S. Ecker:
The Role of Data for One-Shot Semantic Segmentation. CVPR Workshops 2021: 2653-2658 - [c12]Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Kumar Jagadish, Eric Wang, Edgar Y. Walker, Santiago A. Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S. Ecker, Fabian H. Sinz:
Generalization in data-driven models of primary visual cortex. ICLR 2021 - [c11]Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz:
Retrospective on the SENSORIUM 2022 competition. NeurIPS (Competition and Demos) 2021: 314-333 - [i15]Timo Lüddecke, Alexander S. Ecker:
Prompt-Based Multi-Modal Image Segmentation. CoRR abs/2112.10003 (2021) - [i14]Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S. Ecker:
Self-supervised Representation Learning of Neuronal Morphologies. CoRR abs/2112.12482 (2021) - 2020
- [c10]Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Fabian H. Sinz, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker:
Rotation-invariant clustering of neuronal responses in primary visual cortex. ICLR 2020 - [i13]Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker:
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. CoRR abs/2006.07034 (2020) - [i12]Claudio Michaelis, Matthias Bethge, Alexander S. Ecker:
Closing the Generalization Gap in One-Shot Object Detection. CoRR abs/2011.04267 (2020) - [i11]Vitus Benson, Alexander S. Ecker:
Assessing out-of-domain generalization for robust building damage detection. CoRR abs/2011.10328 (2020)
2010 – 2019
- 2019
- [j4]Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Leon A. Gatys, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker:
Deep convolutional models improve predictions of macaque V1 responses to natural images. PLoS Comput. Biol. 15(4) (2019) - [c9]Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge:
A rotation-equivariant convolutional neural network model of primary visual cortex. ICLR (Poster) 2019 - [i10]Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel:
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. CoRR abs/1907.07484 (2019) - 2018
- [c8]Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker:
Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks. ECCV (12) 2018: 225-240 - [c7]Claudio Michaelis, Matthias Bethge, Alexander S. Ecker:
One-Shot Segmentation in Clutter. ICML 2018: 3546-3555 - [c6]Fabian H. Sinz, Alexander S. Ecker, Paul G. Fahey, Edgar Y. Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Xaq Pitkow, Jacob Reimer, Andreas S. Tolias:
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video. NeurIPS 2018: 7199-7210 - [i9]Claudio Michaelis, Matthias Bethge, Alexander S. Ecker:
One-Shot Segmentation in Clutter. CoRR abs/1803.09597 (2018) - [i8]Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker:
Diverse feature visualizations reveal invariances in early layers of deep neural networks. CoRR abs/1807.10589 (2018) - [i7]Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge:
A rotation-equivariant convolutional neural network model of primary visual cortex. CoRR abs/1809.10504 (2018) - [i6]Claudio Michaelis, Ivan Ustyuzhaninov, Matthias Bethge, Alexander S. Ecker:
One-Shot Instance Segmentation. CoRR abs/1811.11507 (2018) - 2017
- [c5]Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman:
Controlling Perceptual Factors in Neural Style Transfer. CVPR 2017: 3730-3738 - [c4]David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge:
Neural system identification for large populations separating "what" and "where". NIPS 2017: 3506-3516 - [i5]Christina M. Funke, Leon A. Gatys, Alexander S. Ecker, Matthias Bethge:
Synthesising Dynamic Textures using Convolutional Neural Networks. CoRR abs/1702.07006 (2017) - [i4]David A. Klindt, Alexander S. Ecker, Thomas Euler, Matthias Bethge:
Neural system identification for large populations separating "what" and "where". CoRR abs/1711.02653 (2017) - 2016
- [c3]Leon A. Gatys, Alexander S. Ecker, Matthias Bethge:
Image Style Transfer Using Convolutional Neural Networks. CVPR 2016: 2414-2423 - [i3]Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, Aaron Hertzmann, Eli Shechtman:
Controlling Perceptual Factors in Neural Style Transfer. CoRR abs/1611.07865 (2016) - 2015
- [j3]Dimitri Yatsenko, Kresimir Josic, Alexander S. Ecker, Emmanouil Froudarakis, R. James Cotton, Andreas S. Tolias:
Improved Estimation and Interpretation of Correlations in Neural Circuits. PLoS Comput. Biol. 11(3) (2015) - [c2]Leon A. Gatys, Alexander S. Ecker, Matthias Bethge:
Texture Synthesis Using Convolutional Neural Networks. NIPS 2015: 262-270 - [i2]Leon A. Gatys, Alexander S. Ecker, Matthias Bethge:
Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks. CoRR abs/1505.07376 (2015) - [i1]Leon A. Gatys, Alexander S. Ecker, Matthias Bethge:
A Neural Algorithm of Artistic Style. CoRR abs/1508.06576 (2015)
2000 – 2009
- 2009
- [j2]Jakob H. Macke, Philipp Berens, Alexander S. Ecker, Andreas S. Tolias, Matthias Bethge:
Generating Spike Trains with Specified Correlation Coefficients. Neural Comput. 21(2): 397-423 (2009) - [c1]Philipp Berens, Sebastian Gerwinn, Alexander S. Ecker, Matthias Bethge:
Neurometric function analysis of population codes. NIPS 2009: 90-98
1980 – 1989
- 1986
- [j1]Alexander S. Ecker, G. Poch:
Check character systems. Computing 37(4): 277-301 (1986)
Coauthor Index
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last updated on 2024-11-05 22:02 CET by the dblp team
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