Search Results for author: C. Spampinato

Found 2 papers, 0 papers with code

A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents

no code implementations17 Apr 2018 I. Kavasidis, S. Palazzo, C. Spampinato, C. Pino, D. Giordano, D. Giuffrida, P. Messina

Under this scenario, DCNNs offers a viable solution to automate the information extraction process from digital documents.

Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos

no code implementations24 Mar 2018 C. Spampinato, S. Palazzo, P. D'Oro, D. Giordano, M. Shah

Our approach synthesizes videos by 1) factorizing the process into the generation of static visual content and motion, 2) learning a suitable representation of a motion latent space in order to enforce spatio-temporal coherency of object trajectories, and 3) incorporating motion estimation and pixel-wise dense prediction into the training procedure.

Motion Estimation Semantic Segmentation +4

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