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Lorenzo Seidenari

2 accepted papers

2020

MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction

CVPR 2020poster

Autonomous vehicles are expected to drive in complex scenarios with several independent non cooperating agents. Path planning for safely navigating in such environments can not just rely on perceiving present location and motion of other agents. It requires instead to predict such variables in a far…

Cited by 153PDFcodeScholar
2017

Deep Generative Adversarial Compression Artifact Removal

ICCV 2017poster

Compression artifacts arise in images whenever a lossy compression algorithm is applied. These artifacts eliminate details present in the original image, or add noise and small structures; because of these effects they make images less pleasant for the human eye, and may also lead to decreased perfo…

Cited by 257PDFScholar