Search Results for author: Stefano Alletto

Found 7 papers, 3 papers with code

Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

1 code implementation CVPR 2020 Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara

At the core of the proposed method lies our Volumetric Heatmap Autoencoder, a fully-convolutional network tasked with the compression of ground-truth heatmaps into a dense intermediate representation.

3D Human Pose Estimation 3D Pose Estimation

RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning

no code implementations2 Mar 2020 Stefano Alletto, Shenyang Huang, Vincent Francois-Lavet, Yohei Nakata, Guillaume Rabusseau

Almost all neural architecture search methods are evaluated in terms of performance (i. e. test accuracy) of the model structures that it finds.

Neural Architecture Search

Can Adversarial Networks Hallucinate Occluded People With a Plausible Aspect?

1 code implementation23 Jan 2019 Federico Fulgeri, Matteo Fabbri, Stefano Alletto, Simone Calderara, Rita Cucchiara

When you see a person in a crowd, occluded by other persons, you miss visual information that can be used to recognize, re-identify or simply classify him or her.

Learning Where to Attend Like a Human Driver

1 code implementation24 Nov 2016 Andrea Palazzi, Francesco Solera, Simone Calderara, Stefano Alletto, Rita Cucchiara

Despite the advent of autonomous cars, it's likely - at least in the near future - that human attention will still maintain a central role as a guarantee in terms of legal responsibility during the driving task.

Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking

no code implementations28 Sep 2016 Minyoung Kim, Stefano Alletto, Luca Rigazio

Multi-object tracking has recently become an important area of computer vision, especially for Advanced Driver Assistance Systems (ADAS).

Multi-Object Tracking

Video Registration in Egocentric Vision under Day and Night Illumination Changes

no code implementations28 Jul 2016 Stefano Alletto, Giuseppe Serra, Rita Cucchiara

To effectively register an egocentric video sequence under these conditions, we propose to tackle the source of the problem: the matching process.

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