Search Results for author: Lorenzo Berlincioni

Found 5 papers, 0 papers with code

Partially fake it till you make it: mixing real and fake thermal images for improved object detection

no code implementations25 Jun 2021 Francesco Bongini, Lorenzo Berlincioni, Marco Bertini, Alberto del Bimbo

In this paper we propose a novel data augmentation approach for visual content domains that have scarce training datasets, compositing synthetic 3D objects within real scenes.

Data Augmentation object-detection +1

Robust pedestrian detection in thermal imagery using synthesized images

no code implementations3 Feb 2021 My Kieu, Lorenzo Berlincioni, Leonardo Galteri, Marco Bertini, Andrew D. Bagdanov, Alberto del Bimbo

Experimental results demonstrate the effectiveness of our approach: using less than 50\% of available real thermal training data, and relying on synthesized data generated by our model in the domain adaptation phase, our detector achieves state-of-the-art results on the KAIST Multispectral Pedestrian Detection Benchmark; even if more real thermal data is available adding GAN generated images to the training data results in improved performance, thus showing that these images act as an effective form of data augmentation.

Data Augmentation Domain Adaptation +1

Inner Eye Canthus Localization for Human Body Temperature Screening

no code implementations27 Aug 2020 Claudio Ferrari, Lorenzo Berlincioni, Marco Bertini, Alberto del Bimbo

As additional contribution, we enrich the original dataset by using the annotated landmarks to deform and project the 3DMM onto the images.

Face Model

Semantic Road Layout Understanding by Generative Adversarial Inpainting

no code implementations29 May 2018 Lorenzo Berlincioni, Federico Becattini, Leonardo Galteri, Lorenzo Seidenari, Alberto del Bimbo

Autonomous driving is becoming a reality, yet vehicles still need to rely on complex sensor fusion to understand the scene they act in.

Autonomous Driving Semantic Segmentation

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