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Found 9 papers, 2 papers with code
Group Activity Recognition using Unreliable Tracked Pose
Group activity recognition in video is a complex task due to the need for a model to recognise the actions of all individuals in the video and their complex interactions.
Classifying Whole Slide Images: What Matters?
Recently there have been many algorithms proposed for the classification of very high resolution whole slide images (WSIs).
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Agricultural research is essential for increasing food production to meet the requirements of an increasing population in the coming decades.
Semi-supervised learning for medical image classification using imbalanced training data
Medical image classification is often challenging for two reasons: a lack of labelled examples due to expensive and time-consuming annotation protocols, and imbalanced class labels due to the relative scarcity of disease-positive individuals in the wider population.
Pose is all you need: The pose only group activity recognition system (POGARS)
We introduce a novel deep learning based group activity recognition approach called the Pose Only Group Activity Recognition System (POGARS), designed to use only tracked poses of people to predict the performed group activity.
Ranked #6 on
Group Activity Recognition
on Volleyball
Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports
Sophisticated trajectory prediction models that effectively mimic team dynamics have many potential uses for sports coaches, broadcasters and spectators.
3D Human Pose Estimation with 2D Marginal Heatmaps
Automatically determining three-dimensional human pose from monocular RGB image data is a challenging problem.
Ranked #46 on
3D Human Pose Estimation
on MPI-INF-3DHP
Numerical Coordinate Regression with Convolutional Neural Networks
We study deep learning approaches to inferring numerical coordinates for points of interest in an input image.
Ranked #29 on
Pose Estimation
on MPII Human Pose
Extraction and Classification of Diving Clips from Continuous Video Footage
Due to recent advances in technology, the recording and analysis of video data has become an increasingly common component of athlete training programmes.
