Smagt, Patrick van der

Flownet: Learning optical flow with convolutional networks

Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., Smagt, P. V. D., Cremers, D., & Brox, T. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 4,313

Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

Karl, M., Soelch, M., Bayer, J., & van der Smagt, P. (2016) · arXiv

Gaussian Processes and Bayesian InferenceTarget Tracking and Data Fusion in Sensor Networks

Cited by 232

Multi-Source Neural Variational Inference

Kurle, R., Günnemann, S., & Van der Smagt, P. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Gaussian Processes and Bayesian InferenceTopic Modeling

Cited by 22