Fabio Cuzzolin

research

∙ 08/08/2023

Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction

The emerging field of action prediction plays a vital role in various co...

0 Izzeddin Teeti, et al. ∙

research

∙ 07/11/2023

Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning

Machine learning is increasingly deployed in safety-critical domains whe...

0 Shireen Kudukkil Manchingal, et al. ∙

research

∙ 10/04/2022

ROAD-R: The Autonomous Driving Dataset with Logical Requirements

Neural networks have proven to be very powerful at computer vision tasks...

0 Eleonora Giunchiglia, et al. ∙

research

∙ 09/12/2022

Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning

The operating room (OR) is a dynamic and complex environment consisting ...

8 Kaizhe Jin, et al. ∙

research

∙ 09/12/2022

Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room

Nowadays, there are more surgical procedures that are being performed us...

12 Tochukwu Onyeogulu, et al. ∙

research

∙ 06/15/2022

Epistemic Deep Learning

The belief function approach to uncertainty quantification as proposed i...

0 Shireen Kudukkil Manchingal, et al. ∙

research

∙ 01/10/2022

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

In an autonomous driving system, perception - identification of features...

5 Izzeddin Teeti, et al. ∙

research

∙ 01/05/2022

The intersection probability: betting with probability intervals

Probability intervals are an attractive tool for reasoning under uncerta...

0 Fabio Cuzzolin, et al. ∙

research

∙ 12/22/2021

YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

As autonomous vehicles and autonomous racing rise in popularity, so does...

0 Aduen Benjumea, et al. ∙

research

∙ 10/27/2021

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines

The aim of this paper is to formalize a new continual semi-supervised le...

0 Ajmal Shahbaz, et al. ∙

research

∙ 04/22/2021

Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder

Anomaly detection in Minimally-Invasive Surgery (MIS) traditionally requ...

0 Dinesh Jackson Samuel, et al. ∙

research

∙ 04/21/2021

A geometric approach to conditioning belief functions

Conditioning is crucial in applied science when inference involving time...

0 Fabio Cuzzolin, et al. ∙

research

∙ 04/16/2021

Spatiotemporal Deformable Models for Long-Term Complex Activity Detection

Long-term complex activity recognition and localisation can be crucial f...

0 Salman Khan, et al. ∙

research

∙ 04/14/2021

Uncertainty measures: The big picture

Probability theory is far from being the most general mathematical theor...

0 Fabio Cuzzolin, et al. ∙

research

∙ 04/07/2021

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods

For an autonomous robotic system, monitoring surgeon actions and assisti...

9 Vivek Singh Bawa, et al. ∙

research

∙ 02/23/2021

ROAD: The ROad event Awareness Dataset for Autonomous Driving

Humans approach driving in a holistic fashion which entails, in particul...

0 Gurkirt Singh, et al. ∙

research

∙ 12/14/2020

Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration

Matching articulated shapes represented by voxel-sets reduces to maximal...

0 Diana Mateus, et al. ∙

research

∙ 06/12/2020

ESAD: Endoscopic Surgeon Action Detection Dataset

In this work, we take aim towards increasing the effectiveness of surgic...

0 Vivek Singh Bawa, et al. ∙

research

∙ 04/13/2020

Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics

In this paper, we explore some of the applications of computer vision to...

0 Neha Bhargava, et al. ∙

research

∙ 04/03/2020

Two-Stream AMTnet for Action Detection

In this paper, we propose Two-Stream AMTnet, which leverages recent adva...

0 Suman Saha, et al. ∙

research

∙ 12/10/2019

Datamorphic Testing: A Methodology for Testing AI Applications

With the rapid growth of the applications of machine learning (ML) and o...

38 Hong Zhu, et al. ∙

research

∙ 05/06/2019

Spatio-Temporal Action Localization in a Weakly Supervised Setting

Enabling computational systems with the ability to localize actions in v...

6 Kurt Degiorgio, et al. ∙

research

∙ 04/04/2019

An End-to-End Baseline for Video Captioning

Building correspondences across different modalities, such as video and ...

0 Silvio Olivastri, et al. ∙

research

∙ 11/17/2018

Recurrence to the Rescue: Towards Causal Spatiotemporal Representations

Recently, three dimensional (3D) convolutional neural networks (CNNs) ha...

0 Gurkirt Singh, et al. ∙

research

∙ 10/18/2018

Visions of a generalized probability theory

In this Book we argue that the fruitful interaction of computer vision a...

0 Fabio Cuzzolin, et al. ∙

research

∙ 08/23/2018

Predicting Action Tubes

In this work, we present a method to predict an entire `action tube' (a ...

6 Gurkirt Singh, et al. ∙

research

∙ 08/07/2018

Belief likelihood function for generalised logistic regression

The notion of belief likelihood function of repeated trials is introduce...

0 Fabio Cuzzolin, et al. ∙

research

∙ 08/01/2018

TraMNet - Transition Matrix Network for Efficient Action Tube Proposals

Current state-of-the-art methods solve spatiotemporal action localisatio...

0 Gurkirt Singh, et al. ∙

research

∙ 07/30/2018

Action Detection from a Robot-Car Perspective

We present the new Road Event and Activity Detection (READ) dataset, des...

0 Valentina Fontana, et al. ∙

research

∙ 07/22/2017

Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos

Current state-of-the-art human action recognition is focused on the clas...

0 Suman Saha, et al. ∙

research

∙ 04/05/2017

Incremental Tube Construction for Human Action Detection

Current state-of-the-art action detection systems are tailored for offli...

0 Harkirat S. Behl, et al. ∙

research

∙ 11/25/2016

Online Real-time Multiple Spatiotemporal Action Localisation and Prediction

We present a deep-learning framework for real-time multiple spatio-tempo...

0 Gurkirt Singh, et al. ∙

research

∙ 08/04/2016

Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos

In this work, we propose an approach to the spatiotemporal localisation ...

0 Suman Saha, et al. ∙

research

∙ 07/07/2016

Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge

Current state-of-the-art human activity recognition is focused on the cl...

0 Gurkirt Singh, et al. ∙

research

∙ 04/11/2016

Active Learning for Online Recognition of Human Activities from Streaming Videos

Recognising human activities from streaming videos poses unique challeng...

0 Rocco De Rosa, et al. ∙

research

∙ 07/30/2014

Consistent transformations of belief functions

Consistent belief functions represent collections of coherent or non-con...

0 Fabio Cuzzolin, et al. ∙

research

∙ 05/29/2014

Feature sampling and partitioning for visual vocabulary generation on large action classification datasets

The recent trend in action recognition is towards larger datasets, an in...

0 Michael Sapienza, et al. ∙

research

∙ 05/26/2014

Robust Temporally Coherent Laplacian Protrusion Segmentation of 3D Articulated Bodies

In motion analysis and understanding it is important to be able to fit a...

0 Fabio Cuzzolin, et al. ∙

Fabio Cuzzolin

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