Adaptive dynamic network architectures for companion systems. - Christian Jarvers; Heiko Neumann (ICCT, 2017)

Fully Convolutional Region Proposal Networks for Multispectral Person Detection. - Daniel König; Michael Adam; Christian Jarvers; Georg Layher; Heiko Neumann; Michael Teutsch (CVPR Workshops, 2017)

Local Temporal Bilinear Pooling for Fine-Grained Action Parsing. - Yan Zhang 054; Siyu Tang 001; Krikamol Muandet; Christian Jarvers; Heiko Neumann (CVPR, 2019)

Temporal Learning of Dynamics in Complex Neuron Models using Backpropagation. - Christian Jarvers; Daniel Schmid; Heiko Neumann (IJCNN, 2019)

Depthwise Separable Temporal Convolutional Network for Action Segmentation. - Basavaraj Hampiholi; Christian Jarvers; Wolfgang Mader 003; Heiko Neumann (3DV, 2020)

Complex Neuron Dynamics on the IBM TrueNorth Neurosynaptic System. - Maximilian P. R. Löhr; Christian Jarvers; Heiko Neumann (AICAS, 2020)

A Bio-Inspired Model of Sound Source Localization on Neuromorphic Hardware. - Timo Oess; Maximilian P. R. Löhr; Christian Jarvers; Daniel Schmid; Heiko Neumann (AICAS, 2020)

Convolutional Transformer Fusion Blocks for Multi-Modal Gesture Recognition. - Basavaraj Hampiholi; Christian Jarvers; Wolfgang Mader 003; Heiko Neumann (IEEE Access, 2023)

Shape-selective processing in deep networks: integrating the evidence on perceptual integration. - Christian Jarvers; Heiko Neumann (Frontiers Comput. Sci., 2023)

Canonical circuit computations for computer vision. - Daniel Schmid; Christian Jarvers; Heiko Neumann (Biol. Cybern., 2023)

Teaching deep networks to see shape: Lessons from a simplified visual world. - Christian Jarvers; Heiko Neumann (PLoS Comput. Biol., 2024)