Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks

no code implementations • 15 Jun 2021 • João Ferreira, Diogo Lavado, Ricardo Gonçalves, Matthias Knorr, Ludwig Krippahl, João Leite

Whereas reasoning over time-annotated data with background knowledge may be challenging, due to the volume and velocity in which such data is being produced, such complex reasoning is necessary in scenarios where agents need to discover potential problems and this cannot be done with simple stream processing techniques.

Time Series Time Series Forecasting

A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos

no code implementations • 29 Mar 2021 • Thiago L. Gomes, Renato Martins, João Ferreira, Rafael Azevedo, Guilherme Torres, Erickson R. Nascimento

Transferring human motion and appearance between videos of human actors remains one of the key challenges in Computer Vision.

Image-to-Image Translation Neural Rendering

Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints

no code implementations • 8 Jan 2020 • Thiago L. Gomes, Renato Martins, João Ferreira, Erickson R. Nascimento

Differently from recent appearance transferring methods, our approach takes into account body shape, appearance, and motion constraints.

Image-to-Image Translation Motion Estimation +1