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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...
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07/11/2023
Random-Set Convolutional Neural Network (RS-CNN) for Epistemic Deep Learning
Machine learning is increasingly deployed in safety-critical domains whe...
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10/04/2022
ROAD-R: The Autonomous Driving Dataset with Logical Requirements
Neural networks have proven to be very powerful at computer vision tasks...
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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 ...
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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...
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06/15/2022
Epistemic Deep Learning
The belief function approach to uncertainty quantification as proposed i...
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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...
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01/05/2022
The intersection probability: betting with probability intervals
Probability intervals are an attractive tool for reasoning under uncerta...
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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...
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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...
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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...
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04/21/2021
A geometric approach to conditioning belief functions
Conditioning is crucial in applied science when inference involving time...
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04/16/2021
Spatiotemporal Deformable Models for Long-Term Complex Activity Detection
Long-term complex activity recognition and localisation can be crucial f...
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04/14/2021
Uncertainty measures: The big picture
Probability theory is far from being the most general mathematical theor...
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04/07/2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
For an autonomous robotic system, monitoring surgeon actions and assisti...
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02/23/2021
ROAD: The ROad event Awareness Dataset for Autonomous Driving
Humans approach driving in a holistic fashion which entails, in particul...
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12/14/2020
Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration
Matching articulated shapes represented by voxel-sets reduces to maximal...
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06/12/2020
ESAD: Endoscopic Surgeon Action Detection Dataset
In this work, we take aim towards increasing the effectiveness of surgic...
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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...
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04/03/2020
Two-Stream AMTnet for Action Detection
In this paper, we propose Two-Stream AMTnet, which leverages recent adva...
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12/10/2019
Datamorphic Testing: A Methodology for Testing AI Applications
With the rapid growth of the applications of machine learning (ML) and o...
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05/06/2019
Spatio-Temporal Action Localization in a Weakly Supervised Setting
Enabling computational systems with the ability to localize actions in v...
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04/04/2019
An End-to-End Baseline for Video Captioning
Building correspondences across different modalities, such as video and ...
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11/17/2018
Recurrence to the Rescue: Towards Causal Spatiotemporal Representations
Recently, three dimensional (3D) convolutional neural networks (CNNs) ha...
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10/18/2018
Visions of a generalized probability theory
In this Book we argue that the fruitful interaction of computer vision a...
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08/23/2018
Predicting Action Tubes
In this work, we present a method to predict an entire `action tube' (a ...
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08/07/2018
Belief likelihood function for generalised logistic regression
The notion of belief likelihood function of repeated trials is introduce...
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08/01/2018
TraMNet - Transition Matrix Network for Efficient Action Tube Proposals
Current state-of-the-art methods solve spatiotemporal action localisatio...
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07/30/2018
Action Detection from a Robot-Car Perspective
We present the new Road Event and Activity Detection (READ) dataset, des...
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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...
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04/05/2017
Incremental Tube Construction for Human Action Detection
Current state-of-the-art action detection systems are tailored for offli...
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11/25/2016
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
We present a deep-learning framework for real-time multiple spatio-tempo...
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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 ...
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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...
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04/11/2016
Active Learning for Online Recognition of Human Activities from Streaming Videos
Recognising human activities from streaming videos poses unique challeng...
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07/30/2014
Consistent transformations of belief functions
Consistent belief functions represent collections of coherent or non-con...
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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...
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05/26/2014