| Fully convolutional region proposal networks for multispectral person detection D Konig, M Adam, C Jarvers, G Layher, H Neumann, M Teutsch Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 262 | 2017 |
| Local temporal bilinear pooling for fine-grained action parsing Y Zhang, S Tang, K Muandet, C Jarvers, H Neumann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 29 | 2019 |
| Reversal learning in humans and gerbils: Dynamic control network facilitates learning C Jarvers, T Brosch, A Brechmann, ML Woldeit, AL Schulz, FW Ohl, ... Frontiers in neuroscience 10, 535, 2016 | 16 | 2016 |
| Convolutional transformer fusion blocks for multi-modal gesture recognition B Hampiholi, C Jarvers, W Mader, H Neumann IEEE Access 11, 34094-34103, 2023 | 10 | 2023 |
| Complex neuron dynamics on the IBM TrueNorth neurosynaptic system MPR Löhr, C Jarvers, H Neumann 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 8 | 2020 |
| A bio-inspired model of sound source localization on neuromorphic hardware T Oess, M Löhr, C Jarvers, D Schmid, H Neumann 2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020 | 7 | 2020 |
| The role of bottom-up and top-down cortical interactions in adaptation to natural scene statistics SW Habtegiorgis, C Jarvers, K Rifai, H Neumann, S Wahl Frontiers in Neural Circuits 13, 9, 2019 | 7 | 2019 |
| Incorporating feedback in convolutional neural networks C Jarvers, H Neumann Proceedings of the Cognitive Computational Neuroscience Conference, 395-398, 2019 | 7 | 2019 |
| Canonical circuit computations for computer vision D Schmid, C Jarvers, H Neumann Biological Cybernetics 117 (4), 299-329, 2023 | 6 | 2023 |
| Depthwise separable temporal convolutional network for action segmentation B Hampiholi, C Jarvers, W Mader, H Neumann 2020 International Conference on 3D Vision (3DV), 633-641, 2020 | 4 | 2020 |
| Shape-selective processing in deep networks: integrating the evidence on perceptual integration C Jarvers, H Neumann Frontiers in Computer Science 5, 1113609, 2023 | 3 | 2023 |
| The Alexithymia Questionnaire for Children–German version (AQC-G) I Jarvers, A Ecker, D Schleicher, A Otto, C Jarvers PsyArXiv, 2022 | 2 | 2022 |
| Teaching deep networks to see shape: Lessons from a simplified visual world. C Jarvers, H Neumann bioRxiv, 2024.03. 25.586544, 2024 | | 2024 |
| Learning visual contour tracing in a deep recurrent network based on a cortical columnar architecture D Schmid, C Jarvers, H Neumann Journal of Vision 20 (11), 1216-1216, 2020 | | 2020 |
| A compartmental model of feedback modulation in visual cortex C Jarvers, H Neumann Journal of Vision 19 (10), 108d-108d, 2019 | | 2019 |
| Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation C Jarvers, D Schmid, H Neumann 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | | 2019 |
| Model investigation on contribution of feedback in distortion induced motion adaptation S Wahl, S Habtegiorgis, C Jarvers, K Rifai, H Neumann | | 2018 |
| Adaptive dynamic network architectures for companion systems C Jarvers, H Neumann 2017 International Conference on Companion Technology (ICCT), 1-6, 2017 | | 2017 |
