Alexander S. Ecker

Orcid: 0000-0003-2392-5105

Affiliations:
  • University of Göttingen, Department of Computer Science, Germany


According to our database1, Alexander S. Ecker authored at least 37 papers between 1986 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Computer Vision for Primate Behavior Analysis in the Wild.
CoRR, 2024

Most discriminative stimuli for functional cell type identification.
CoRR, 2024

Most discriminative stimuli for functional cell type clustering.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
The Impacts of Quality-Oriented Dataset Labeling on Tree Cover Segmentation Using U-Net: A Case Study in WorldView-3 Imagery.
Remote. Sens., March, 2023

Self-Supervised Graph Representation Learning for Neuronal Morphologies.
Trans. Mach. Learn. Res., 2023

TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds.
CoRR, 2023

2022
The Sensorium competition on predicting large-scale mouse primary visual cortex activity.
CoRR, 2022

Image Segmentation Using Text and Image Prompts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning divisive normalization in primary visual cortex.
PLoS Comput. Biol., 2021

Benchmarking Unsupervised Object Representations for Video Sequences.
J. Mach. Learn. Res., 2021

Self-supervised Representation Learning of Neuronal Morphologies.
CoRR, 2021

Prompt-Based Multi-Modal Image Segmentation.
CoRR, 2021


Generalization in data-driven models of primary visual cortex.
Proceedings of the 9th International Conference on Learning Representations, 2021

The Role of Data for One-Shot Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Assessing out-of-domain generalization for robust building damage detection.
CoRR, 2020

Closing the Generalization Gap in One-Shot Object Detection.
CoRR, 2020

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.
CoRR, 2020

Rotation-invariant clustering of neuronal responses in primary visual cortex.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Deep convolutional models improve predictions of macaque V1 responses to natural images.
PLoS Comput. Biol., 2019

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.
CoRR, 2019

A rotation-equivariant convolutional neural network model of primary visual cortex.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
One-Shot Instance Segmentation.
CoRR, 2018

Stimulus domain transfer in recurrent models for large scale cortical population prediction on video.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

One-Shot Segmentation in Clutter.
Proceedings of the 35th International Conference on Machine Learning, 2018

Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Synthesising Dynamic Textures using Convolutional Neural Networks.
CoRR, 2017

Neural system identification for large populations separating "what" and "where".
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Controlling Perceptual Factors in Neural Style Transfer.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Image Style Transfer Using Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Improved Estimation and Interpretation of Correlations in Neural Circuits.
PLoS Comput. Biol., 2015

A Neural Algorithm of Artistic Style.
CoRR, 2015

Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks.
CoRR, 2015

Texture Synthesis Using Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2009
Generating Spike Trains with Specified Correlation Coefficients.
Neural Comput., 2009

Neurometric function analysis of population codes.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

1986
Check character systems.
Computing, 1986


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