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Tien-Thanh Nguyen
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2020 – today
- 2024
- [c6]Tien-Thanh Nguyen, Augustin Crismer, Geert De Cubber, Bart Janssens, Herman Bruyninckx:
Landing UAV on Moving Surface Vehicle: Visual Tracking and Motion Prediction of Landing Deck. SII 2024: 827-833 - 2023
- [j3]Dinh-Tan Pham, Quang-Tien Pham, Tien-Thanh Nguyen, Thi-Lan Le, Hai Vu:
A lightweight graph convolutional network for skeleton-based action recognition. Multim. Tools Appl. 82(2): 3055-3079 (2023) - [j2]Viet-Duc Le, Van-Nam Hoang, Tien-Thanh Nguyen, Van-Hung Le, Thanh-Hai Tran, Hai Vu, Thi-Lan Le:
Hand Activity Recognition From Automatic Estimated Egocentric Skeletons Combining Slow Fast and Graphical Neural Networks. Vietnam. J. Comput. Sci. 10(1): 75-100 (2023) - 2022
- [j1]Tien-Thanh Nguyen, Dinh-Tan Pham, Hai Vu, Thi-Lan Le:
A robust and efficient method for skeleton-based human action recognition and its application for cross-dataset evaluation. IET Comput. Vis. 16(8): 709-726 (2022) - [c5]Tien-Thanh Nguyen, Nam-Cuong Nguyen, Duy-Khanh Ngo, Viet-Lam Phan, Minh-Hung Pham, Duc-An Nguyen, Minh-Hiep Doan, Thi-Lan Le:
A Continuous Real-time Hand Gesture Recognition Method based on Skeleton. ICCAIS 2022: 273-278 - [c4]Quang-Tien Pham, Duc-Anh Nguyen, Tien-Thanh Nguyen, Thanh Nam Nguyen, Duy-Tung Nguyen, Dinh-Tan Pham, Thanh-Hai Tran, Thi-Lan Le, Hai Vu:
A study on skeleton-based action recognition and its application to physical exercise recognition. SoICT 2022: 239-246 - 2021
- [c3]Viet-Duc Le, Van-Nam Hoang, Tien-Thanh Nguyen, Van-Hung Le, Thanh-Hai Tran, Hai Vu, Thi-Lan Le:
A Unified Deep Framework for Hand Pose Estimation and Dynamic Hand Action Recognition from First-Person RGB Videos. MAPR 2021: 1-6 - 2020
- [c2]Thi-Thanh Ha, Van-Nha Nguyen, Kiem-Hieu Nguyen, Kim-Anh Nguyen, Tien-Thanh Nguyen:
Utilizing Bert for Question Retrieval on Vietnameses E-commerce Sites. PACLIC 2020: 92-99
2010 – 2019
- 2018
- [c1]Minh-Phung Bui, Nguyen-Son Vo, Tien-Thanh Nguyen, Quang-Nhat Tran, Anh-Tuan Tran:
Social-Aware Caching and Resource Sharing Optimization for Video Delivering in 5G Networks. QSHINE 2018: 73-86
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