Search Results for author: Leonardo Galteri

Found 3 papers, 0 papers with code

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

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

Deep Generative Adversarial Compression Artifact Removal

no code implementations ICCV 2017 Leonardo Galteri, Lorenzo Seidenari, Marco Bertini, Alberto del Bimbo

Moreover we show that our approach can be used as a pre-processing step for object detection in case images are degraded by compression to a point that state-of-the art detectors fail.

object-detection Object Detection +1

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