Cuzzolin, F.[Fabio]
* 1997: Using Hidden Markov Models and Dynamic Size Functions for Gesture Recognition
* 2004: Action modeling with volumetric data
* 2004: Geometry of Dempster's Rule of Combination
* 2006: Using Bilinear Models for View-invariant Action and Identity Recognition
* 2007: Articulated Shape Matching by Robust Alignment of Embedded Representations
* 2007: Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment
* 2007: Robust Spectral 3D-Bodypart Segmentation Along Time
* 2007: Two New Bayesian Approximations of Belief Functions Based on Convex Geometry
* 2008: Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration
* 2008: Coherent Laplacian 3-D protrusion segmentation
* 2008: Learning Pullback metrics for linear models
* 2012: Learning discriminative space-time actions from weakly labelled videos
* 2014: 3D Activity Recognition Using Motion History and Binary Shape Templates
* 2014: Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos
* 2014: Learning Pullback HMM Distances
* 2014: Online Action Recognition via Nonparametric Incremental Learning
* 2015: Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies
* 2016: Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos
* 2017: Active Incremental Recognition of Human Activities in a Streaming Context
* 2017: AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture
* 2017: Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction
* 2018: Predicting Action Tubes
* 2018: TraMNet: Transition Matrix Network for Efficient Action Tube Proposals
* 2019: End-to-End Video Captioning
* 2019: Recurrent Convolutions for Causal 3D CNNs
* 2020: Video-based Crowd Counting Using a Multi-scale Optical Flow Pyramid Network
* 2021: Avalanche: an End-to-End Library for Continual Learning
* 2021: Multi-weather city: Adverse weather stacking for autonomous driving
* 2023: ROAD: The Road Event Awareness Dataset for Autonomous Driving
* 2023: Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction
* 2024: Hybrid Graph Network for Complex Activity Detection in Video, A
Includes: Cuzzolin, F.[Fabio] Cuzzolin, F.
31 for Cuzzolin, F.
Cuzzucoli, A.[Alice]
* 2023: Forecasting PM10 Levels Using Machine Learning Models in the Arctic: A Comparative Study