Aide: A vision-driven multi-view, multi-modal, multi-tasking dataset for assistive driving perception
Driver distraction has become a significant cause of severe traffic accidents over the past
decade. Despite the growing development of vision-driven driver monitoring systems, the …
decade. Despite the growing development of vision-driven driver monitoring systems, the …
Context de-confounded emotion recognition
Abstract Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that
aims to perceive the emotional states of the target person with contextual information …
aims to perceive the emotional states of the target person with contextual information …
A survey of deep learning in sports applications: Perception, comprehension, and decision
Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …
ranging from perception and comprehension to decision. This paper presents a …
Hierarchical graph convolutional networks for action quality assessment
Action quality assessment (AQA) automatically evaluates how well humans perform actions
in a given video, a technique widely used in fields such as rehabilitation medicine, athletic …
in a given video, a technique widely used in fields such as rehabilitation medicine, athletic …
CPR-Coach: Recognizing composite error actions based on single-class training
Fine-grained medical action analysis plays a vital role in improving medical skill training
efficiency but it faces the problems of data and algorithm shortage. Cardiopulmonary …
efficiency but it faces the problems of data and algorithm shortage. Cardiopulmonary …
Cpr-clip: Multimodal pre-training for composite error recognition in cpr training
The expensive cost of the medical skill training paradigm hinders the development of
medical education, which has attracted widespread attention in the intelligent signal …
medical education, which has attracted widespread attention in the intelligent signal …
HandGCAT: Occlusion-robust 3D hand mesh reconstruction from monocular images
We propose a robust and accurate method for reconstructing 3D hand mesh from monocular
images. This is a very challenging problem, as hands are often severely occluded by …
images. This is a very challenging problem, as hands are often severely occluded by …
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
Action Quality Assessment (AQA) evaluates diverse skills but models struggle with non-
stationary data. We propose Continual AQA (CAQA) to refine models using sparse new data …
stationary data. We propose Continual AQA (CAQA) to refine models using sparse new data …
An X3D neural network analysis for runner's performance assessment in a wild sporting environment
D Freire-Obregón, J Lorenzo-Navarro… - … on Machine Vision …, 2023 - ieeexplore.ieee.org
We present a transfer learning analysis on a sporting environment of the expanded 3D
(X3D) neural networks. Inspired by action quality assessment methods in the literature, our …
(X3D) neural networks. Inspired by action quality assessment methods in the literature, our …
Towards heart infarction detection via image-based dataset and three-stream fusion framework
As the global ageing society intensifies, many elderly people are facing the situation of living
alone without care. When sudden illnesses like heart attacks or heart infarctions happen …
alone without care. When sudden illnesses like heart attacks or heart infarctions happen …