Texture Retrieval Using Scattering Coefficients and Probability Product Kernels. - Alexander Sagel; Dominik Meyer; Hao Shen 002 (LVA/ICA, 2015)

Texture Retrieval via the Scattering Transform. - Alexander Sagel; Dominik Meyer; Hao Shen 002 (CoRR, 2015)

Linearizing Visual Processes with Convolutional Variational Autoencoders. - Alexander Sagel; Hao Shen 002 (CoRR, 2018)

Alignment Distances on Systems of Bags. - Alexander Sagel; Martin Kleinsteuber (IEEE Trans. Circuits Syst. Video Technol., 2018)

Sub-Dip: Optimization On A Subspace With Deep Image Prior Regularization And Application To Superresolution. - Alexander Sagel; Aline Roumy; Christine Guillemot (ICASSP, 2020)

Dynamic Variational Autoencoders for Visual Process Modeling. - Alexander Sagel; Hao Shen 002 (ICASSP, 2020)

Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning. - Alexander Sagel; Amit Sahu; Stefan Matthes; Holger Pfeifer; Tianming Qiu; Harald Rueß; Hao Shen 002; Julian Wörmann (CoRR, 2020)

Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces. - Alexander Sagel; Julian Wörmann; Hao Shen 002 (ICASSP, 2021)

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. - Julian Wörmann; Daniel Bogdoll; Etienne Bührle; Han Chen; Evaristus Fuh Chuo; Kostadin Cvejoski; Ludger van Elst; Tobias Gleißner; Philip Gottschall; Stefan Griesche; Christian Hellert; Christian Hesels; et al. (CoRR, 2022)

Modeling and Analyzing Dynamics of Visual Processes With Representation Learning. - Alexander Sagel (2022)