Fabio Cuzzolin

Orcid: 0000-0002-9271-2130

According to our database1, Fabio Cuzzolin authored at least 121 papers between 1997 and 2024.

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Bibliography

2024
Feature boosting with efficient attention for scene parsing.
CoRR, 2024

Generalising realisability in statistical learning theory under epistemic uncertainty.
CoRR, 2024

Credal Learning Theory.
CoRR, 2024

Reasoning with random sets: An agenda for the future.
CoRR, 2024

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks.
CoRR, 2024

2023
ROAD-R: the autonomous driving dataset with logical requirements.
Mach. Learn., September, 2023

ROAD: The Road Event Awareness Dataset for Autonomous Driving.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

A Hybrid Graph Network for Complex Activity Detection in Video.
CoRR, 2023

Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning.
CoRR, 2023

Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
An intelligent system for complex violence pattern analysis and detection.
Int. J. Intell. Syst., December, 2022

Editorial: Theory of Mind in Humans and in Machines.
Frontiers Artif. Intell., 2022

Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A Review.
Frontiers Artif. Intell., 2022

Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning.
CoRR, 2022

Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room.
CoRR, 2022

Epistemic Deep Learning.
CoRR, 2022

Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing.
CoRR, 2022

The intersection probability: betting with probability intervals.
CoRR, 2022

Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
The Geometry of Uncertainty - The Geometry of Imprecise Probabilities
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-3-030-63152-9, 2021

Unsupervised Anomaly Detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS) Using a Deep Residual Autoencoder.
IEEE Robotics Autom. Lett., 2021

A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life.
Int. J. Data Sci. Anal., 2021

DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments.
Expert Syst. Appl., 2021

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles.
CoRR, 2021

A geometric approach to conditioning belief functions.
CoRR, 2021

Spatiotemporal Deformable Models for Long-Term Complex Activity Detection.
CoRR, 2021

Uncertainty measures: The big picture.
CoRR, 2021

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods.
CoRR, 2021

Avalanche: an End-to-End Library for Continual Learning.
CoRR, 2021

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Multi-weather city: Adverse weather stacking for autonomous driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021


SVD-GAN for Real-Time Unsupervised Video Anomaly Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Spatiotemporal Deformable Scene Graphs for Complex Activity Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Evidence Combination Based on Credal Belief Redistribution for Pattern Classification.
IEEE Trans. Fuzzy Syst., 2020

ESAD: Endoscopic Surgeon Action Detection Dataset.
CoRR, 2020

Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics.
CoRR, 2020

Two-Stream AMTnet for Action Detection.
CoRR, 2020

Surgical Hand Gesture Prediction for the Operating Room.
Proceedings of the pHealth 2020 - Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2020

Generalized Zero-Shot Learning using Generated Proxy Unseen Samples and Entropy Separation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Video-Based Crowd Counting Using a Multi-scale Optical Flow Pyramid Network.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Datamorphic Testing: A Methodology for Testing AI Applications.
CoRR, 2019

Spatio-Temporal Action Localization in a Weakly Supervised Setting.
CoRR, 2019

An End-to-End Baseline for Video Captioning.
CoRR, 2019

Recurrent Convolutions for Causal 3D CNNs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

End-to-End Video Captioning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Datamorphic Testing: A Method for Testing Intelligent Applications.
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

2018
A Belief-Theoretical Approach to Example-Based Pose Estimation.
IEEE Trans. Fuzzy Syst., 2018

Recurrence to the Rescue: Towards Causal Spatiotemporal Representations.
CoRR, 2018

Visions of a generalized probability theory.
CoRR, 2018

Belief likelihood function for generalised logistic regression.
CoRR, 2018

Action Detection from a Robot-Car Perspective.
CoRR, 2018

Predicting Action Tubes.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Incremental Tube Construction for Human Action Detection.
Proceedings of the British Machine Vision Conference 2018, 2018

General Geometry of Belief Function Combination.
Proceedings of the Belief Functions: Theory and Applications, 2018

Generalised Max Entropy Classifiers.
Proceedings of the Belief Functions: Theory and Applications, 2018

TraMNet - Transition Matrix Network for Efficient Action Tube Proposals.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Active Incremental Recognition of Human Activities in a Streaming Context.
Pattern Recognit. Lett., 2017

Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos.
CoRR, 2017

The Total Belief Theorem.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction.
Proceedings of the IEEE International Conference on Computer Vision, 2017

AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Belief functions: Theory and applications (BELIEF 2014).
Int. J. Approx. Reason., 2016

Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge.
CoRR, 2016

Active Learning for Online Recognition of Human Activities from Streaming Videos.
CoRR, 2016

Heterogeneous wireless system testbed for remote image processing in automated vehicles.
Proceedings of the 10th International Symposium on Communication Systems, 2016

Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies.
Int. J. Comput. Vis., 2015

Robust classification of multivariate time series by imprecise hidden Markov models.
Int. J. Approx. Reason., 2015

2014
$L_{p}$ Consonant Approximations of Belief Functions.
IEEE Trans. Fuzzy Syst., 2014

Learning Pullback HMM Distances.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Learning Discriminative Space-Time Action Parts from Weakly Labelled Videos.
Int. J. Comput. Vis., 2014

Feature sampling and partitioning for visual vocabulary generation on large action classification datasets.
CoRR, 2014

Consistent transformations of belief functions.
CoRR, 2014

Online Action Recognition via Nonparametric Incremental Learning.
Proceedings of the British Machine Vision Conference, 2014

3D Activity Recognition Using Motion History and Binary Shape Templates.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Belief modeling regression for pose estimation.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Special Issue on Information Fusion Applications to Human Health and Safety.
Inf. Fusion, 2012

On the relative belief transform.
Int. J. Approx. Reason., 2012

Learning discriminative space-time actions from weakly labelled videos.
Proceedings of the British Machine Vision Conference, 2012

Consonant Approximations in the Belief Space.
Proceedings of the Belief Functions: Theory and Applications, 2012

Generalizations of the Relative Belief Transform.
Proceedings of the Belief Functions: Theory and Applications, 2012

Game-Theoretical Semantics of Epistemic Probability Transformations.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
On Consistent Approximations of Belief Functions in the Mass Space.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
Credal Semantics of Bayesian Transformations in Terms of Probability Intervals.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Three alternative combinatorial formulations of the theory of evidence.
Intell. Data Anal., 2010

The geometry of consonant belief functions: Simplicial complexes of necessity measures.
Fuzzy Sets Syst., 2010

Geometry of relative plausibility and relative belief of singletons.
Ann. Math. Artif. Intell., 2010

Credal Sets Approximation by Lower Probabilities: Application to Credal Networks.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009
The Intersection Probability and Its Properties.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Complexes of Outer Consonant Approximations.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
A Lattice-Theoretic Interpretation of Independence of Frames.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

Semantics of the Relative Belief of Singletons.
Proceedings of the Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008

A Geometric Approach to the Theory of Evidence.
IEEE Trans. Syst. Man Cybern. Part C, 2008

Alternative Formulations of the Theory of Evidence Based on Basic Plausibility and Commonality Assignments.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Dual Properties of the Relative Belief of Singletons.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

On the Credal Structure of Consistent Probabilities.
Proceedings of the Logics in Artificial Intelligence, 11th European Conference, 2008

Boolean and Matroidal Independence in Uncertainty Theory.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

An Interpretation of Consistent Belief Functions in Terms of Simplicial Complexes.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Coherent Laplacian 3-D protrusion segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Two New Bayesian Approximations of Belief Functions Based on Convex Geometry.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Articulated Shape Matching Using Locally Linear Embedding and Orthogonal Alignment.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Articulated Shape Matching by Robust Alignment of Embedded Representations.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Robust Spectral 3D-Bodypart Segmentation Along Time.
Proceedings of the Human Motion, 2007

On the Orthogonal Projection of a Belief Function.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
Using Bilinear Models for View-invariant Action and Identity Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Algebraic structure of the families of compatible frames of discernment.
Ann. Math. Artif. Intell., 2005

On the properties of relative plausibilities.
Proceedings of the IEEE International Conference on Systems, 2005

Evidential modeling for pose estimation.
Proceedings of the ISIPTA '05, 2005

2004
Geometry of Dempster's rule of combination.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Invariant action classification with volumetric data.
Proceedings of the IEEE 6th Workshop on Multimedia Signal Processing, 2004

Action modeling with volumetric data.
Proceedings of the 2004 International Conference on Image Processing, 2004

Integration of shape constraints in data association filters.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Geometry of Upper Probabilities.
Proceedings of the ISIPTA '03, 2003

2002
Geometry of Dempster's.
Proceedings of the FSDK'02, 2002

Integrating shape and dynamic probabilistic models for data association and tracking.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Geometric analysis of belief space and conditional subspaces.
Proceedings of the ISIPTA '01, 2001

Lattice structure of the families of compatible frames of discernment.
Proceedings of the ISIPTA '01, 2001

1997
Using Hidden Markov Models and Dynamic Size Functions for Gesture Recognition.
Proceedings of the British Machine Vision Conference 1997, 1997


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