Search Results for author: Denis Tomè

Found 2 papers, 1 papers with code

EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans

no code implementations28 Jun 2024 Nicola Garau, Giulia Martinelli, Niccolò Bisagno, Denis Tomè, Carsten Stoll

These inputs are obtained from RegNet, which starts from a single image and provides estimates for the 2D pose and camera parameters.

3D Pose Estimation

Deep convolutional neural networks for pedestrian detection

1 code implementation13 Oct 2015 Denis Tomè, Federico Monti, Luca Baroffio, Luca Bondi, Marco Tagliasacchi, Stefano Tubaro

Pedestrian detection is a popular research topic due to its paramount importance for a number of applications, especially in the fields of automotive, surveillance and robotics.

Image Classification object-detection +3

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