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Temporal-Relational CrossTransformers for Few-Shot Action Recognition
We propose a novel approach to few-shot action recognition, finding temp...
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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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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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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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Meta-Learning with Context-Agnostic Initialisations
Meta-learning approaches have addressed few-shot problems by finding ini...
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Prediction of Thrombectomy FunctionalOutcomes using Multimodal Data
Recent randomised clinical trials have shown that patients with ischaemi...
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Prediction of Thrombectomy Functional Outcomes using Multimodal Data
Recent randomised clinical trials have shown that patients with ischaemi...
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Weakly-Supervised Completion Moment Detection using Temporal Attention
Monitoring the progression of an action towards completion offers fine g...
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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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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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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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Semantically Selective Augmentation for Deep Compact Person Re-Identification
We present a deep person re-identification approach that combines semant...
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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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Action Completion: A Temporal Model for Moment Detection
We introduce completion moment detection for actions - the problem of lo...
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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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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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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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Cost-based Feature Transfer for Vehicle Occupant Classification
Knowledge of human presence and interaction in a vehicle is of growing i...
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