Jens Schneider — accepted AI-conference papers

2021

SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation

Giovanni Pintore, Marco Agus, Eva Almansa, Jens Schneider, Enrico Gobbetti

CVPR 2021poster

We introduce a novel deep neural network to estimate a depth map from a single monocular indoor panorama. The network directly works on the equirectangular projection, exploiting the properties of indoor 360 images. Starting from the fact that gravity plays an important role in the design and constr…

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2019

Convolutional Neural Networks for Video Intra Prediction Using Cross-component Adaptation

Maria Meyer, Jonathan Wiesner, Jens Schneider, Christian Rohlfing

ICASSP 2019accepted

Recently, neural networks were shown to improve video and image intra prediction significantly. In this paper, the properties of different architectures for neural network-based intra prediction are evaluated. This includes an analysis of the properties of convolutional neural networks used for this…

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