Ankhzaya Jamsrandorj

Orcid: 0000-0001-9236-057X

According to our database1, Ankhzaya Jamsrandorj authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Tracking the Blur: Accurate Ball Trajectory Detection in Broadcast Sports Videos.
Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports, 2024

2023
View-independent gait events detection using CNN-transformer hybrid network.
J. Biomed. Informatics, November, 2023

A Residual Attention-based EfficientNet Homography Estimation Model for Sports Field Registration.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

3D Ball Trajectory Reconstruction of a Ballistic Shot from a Monocular Basketball Video.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Deep Learning-Based Gait Event Prediction through a Single Waist-worn Wearable Sensor.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Image-based Gait Spatiotemporal Parameters Estimation using a Single Camera and CNN-Transformer Hybrid Network.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Gait Events Prediction Using Hybrid CNN-RNN-Based Deep Learning Models through a Single Waist-Worn Wearable Sensor.
Sensors, 2022

Ball Position Feature Embedded Group Activity Recognition Model for Team Sport Games.
Proceedings of the Machine Learning and Artificial Intelligence, 2022

Prediction of lower limb kinematics from vision-based system using deep learning approaches.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Deep Learning Networks for View-independent Knee and Elbow Joint Angle Estimation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Vision-Based Gait Events Detection Using Deep Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021


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