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04/03/2023
Use Your Head: Improving Long-Tail Video Recognition
This paper presents an investigation into long-tail video recognition. W...
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02/22/2023
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
This paper presents a deep learning framework for medical video segmenta...
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01/25/2023
TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction
Acute ischaemic stroke, caused by an interruption in blood flow to brain...
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01/06/2023
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
We propose the first metric learning system for the recognition of great...
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10/25/2022
Refining Action Boundaries for One-stage Detection
Current one-stage action detection methods, which simultaneously predict...
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08/17/2022
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation
We propose Video-TransUNet, a deep architecture for instance segmentatio...
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07/17/2022
Detecting Humans in RGB-D Data with CNNs
We address the problem of people detection in RGB-D data where we levera...
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07/14/2022
Inertial Hallucinations – When Wearable Inertial Devices Start Seeing Things
We propose a novel approach to multimodal sensor fusion for Ambient Assi...
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04/30/2022
Dynamic Curriculum Learning for Great Ape Detection in the Wild
We propose a novel end-to-end curriculum learning approach that leverage...
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01/02/2022
TVNet: Temporal Voting Network for Action Localization
We propose a Temporal Voting Network (TVNet) for action localization in ...
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12/07/2021
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
Despite the outstanding success of self-supervised pretraining methods f...
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11/12/2021
Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance
Visuals captured by high-flying aerial drones are increasingly used to a...
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09/17/2021
Unsupervised View-Invariant Human Posture Representation
Most recent view-invariant action recognition and performance assessment...
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01/15/2021
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
We propose a novel approach to few-shot action recognition, finding temp...
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12/17/2020
Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson's Severity Assessment
Evaluating neurological disorders such as Parkinson's disease (PD) is a ...
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10/14/2020
Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning
In this paper we show that learning video feature spaces in which tempor...
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08/11/2020
VI-Net: View-Invariant Quality of Human Movement Assessment
We propose a view-invariant method towards the assessment of the quality...
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07/29/2020
Meta-Learning with Context-Agnostic Initialisations
Meta-learning approaches have addressed few-shot problems by finding ini...
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05/26/2020
Prediction of Thrombectomy FunctionalOutcomes using Multimodal Data
Recent randomised clinical trials have shown that patients with ischaemi...
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05/26/2020
Prediction of Thrombectomy Functional Outcomes using Multimodal Data
Recent randomised clinical trials have shown that patients with ischaemi...
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10/22/2019
Weakly-Supervised Completion Moment Detection using Temporal Attention
Monitoring the progression of an action towards completion offers fine g...
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10/03/2019
Sit-to-Stand Analysis in the Wild using Silhouettes for Longitudinal Health Monitoring
We present the first fully automated Sit-to-Stand or Stand-to-Sit (StS) ...
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08/29/2019
Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending
We propose the first multi-frame video object detection framework traine...
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06/21/2018
CaloriNet: From silhouettes to calorie estimation in private environments
We propose a novel deep fusion architecture, CaloriNet, for the online e...
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06/11/2018
Semantically Selective Augmentation for Deep Compact Person Re-Identification
We present a deep person re-identification approach that combines semant...
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05/30/2018
A Guide to the SPHERE 100 Homes Study Dataset
The SPHERE project has developed a multi-modal sensor platform for healt...
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05/17/2018
Action Completion: A Temporal Model for Moment Detection
We introduce completion moment detection for actions - the problem of lo...
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10/06/2017
Detecting the Moment of Completion: Temporal Models for Localising Action Completion
Action completion detection is the problem of modelling the action's pro...
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07/27/2016
Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home
We present a new framework for vision-based estimation of calorific expe...
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06/14/2016
Multiple Human Tracking in RGB-D Data: A Survey
Multiple human tracking (MHT) is a fundamental task in many computer vis...
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12/22/2015
