478 citations · 1.5k across the 97 of their papers we have counts for
8 papers · 1 filter
Inter-Homines: Distance-Based Risk Estimation for Human Safety
Matteo Fabbri, Fabio Lanzi, Riccardo Gasparini +3
In this document, we report our proposal for modeling the risk of possible contagiousity in a given area monitored by RGB cameras where people freely move and interact. Our system,…
Explore and Explain: Self-supervised Navigation and Recounting
Roberto Bigazzi, Federico Landi, Marcella Cornia +3
Embodied AI has been recently gaining attention as it aims to foster the development of autonomous and intelligent agents. In this paper, we devise a novel embodied setting in whic…
Future Urban Scenes Generation Through Vehicles Synthesis
Alessandro Simoni, Luca Bergamini, Andrea Palazzi +2
In this work we propose a deep learning pipeline to predict the visual future appearance of an urban scene. Despite recent advances, generating the entire scene in an end-to-end fa…
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting
Alessio Monti, Alessia Bertugli, Simone Calderara +1
Understanding human motion behaviour is a critical task for several possible applications like self-driving cars or social robots, and in general for all those settings where an au…
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction
Alessia Bertugli, Simone Calderara, Pasquale Coscia +2
Anticipating human motion in crowded scenarios is essential for developing intelligent transportation systems, social-aware robots and advanced video surveillance applications. A k…
A Novel Attention-based Aggregation Function to Combine Vision and Language
Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi +1
The joint understanding of vision and language has been recently gaining a lot of attention in both the Computer Vision and Natural Language Processing communities, with the emerge…
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
Matteo Fabbri, Fabio Lanzi, Simone Calderara +2
In this paper we present a novel approach for bottom-up multi-person 3D human pose estimation from monocular RGB images. We propose to use high resolution volumetric heatmaps to mo…
Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati, Jakub Tomczak, Tijmen Blankevoort +3
Convolutional Neural Networks experience catastrophic forgetting when optimized on a sequence of learning problems: as they meet the objective of the current training examples, the…