128 citations · 169 across the 4 of their papers we have counts for
5 papers
Light3DPose: Real-time Multi-Person 3D PoseEstimation from Multiple Views
Alessio Elmi, Davide Mazzini, Pietro Tortella
We present an approach to perform 3D pose estimation of multiple people from a few calibrated camera views. Our architecture, leveraging the recently proposed unprojection layer, a…
Spatial Sampling Network for Fast Scene Understanding
Davide Mazzini, Raimondo Schettini
We propose a network architecture to perform efficient scene understanding. This work presents three main novelties: the first is an Improved Guided Upsampling Module that can repl…
Multitask Painting Categorization by Deep Multibranch Neural Network
Simone Bianco, Davide Mazzini, Paolo Napoletano +1
In this work we propose a new deep multibranch neural network to solve the tasks of artist, style, and genre categorization in a multitask formulation. In order to gather clues fro…
Guided Upsampling Network for Real-Time Semantic Segmentation
Davide Mazzini
Semantic segmentation architectures are mainly built upon an encoder-decoder structure. These models perform subsequent downsampling operations in the encoder. Since operations on…
Deep Learning for Logo Recognition
Simone Bianco, Marco Buzzelli, Davide Mazzini +1
In this paper we propose a method for logo recognition using deep learning. Our recognition pipeline is composed of a logo region proposal followed by a Convolutional Neural Networ…