Projects per year
Personal profile
Research interests
Research Interests: Computer vision, image processing, machine learning, deep learning, and data mining.
His research interests are broadly in the areas of computer vision, machine learning, deep learning and data mining. He is particularly interested in probabilistic approaches and theoretical algorithms for high-impact societal applications in image/video understanding such as image retrieval, image annotation, and human activity analysis. He is also interested in how to build and productionize machine learning applications with distributed algorithms on Big Data platforms.
Publications
- Nguyen Anh Tu, Thien Huynh-The, Kifayat-Ullah Khan, and Young-Koo Lee, “ML-HDP: A Hierarchical Bayesian Nonparametric Model for Recognizing Human Actions in Video", IEEE Transactions on Circuits and Systems for Video Technology (SCI, IF: 3.599), 2018.
- Thien Huynh-The, Cam-Hao Hua, Nguyen Anh Tu, Taeho Hur, Jaehun Bang, Dohyeong Kim, Muhammad B. Amin, Byeong Ho Kang, Hyonwoo Seung, Soo-Yong Shin, Eun-Soo Kim, Sungyoung Lee, “Hierarchical Topic Modeling With Pose-Transition Feature For Action Recognition Using 3D Skeleton Data", Information Sciences (SCI, IF:4.832), Vol. 444, pp.20-35, May2018.
- Thien Huynh-The, Cam-Hao Hua, Nguyen Anh Tu, Taeho Hur, Jaehun Bang, Dohyeong Kim, Muhammad Bilal Amin, Byeong Ho Kang, Hyonwoo Seung and Sungyoung Lee, “Selective Bit Embedding Scheme For Robust Blind Color Image Watermarking", Information Science (SCI, IF:4.832), Vol. 426, February 2018.
- Nguyen Anh Tu, Kifayat Ullah Khan, and Young-Koo Lee, “Featured Correspondence Topic Model for Semantic Search on Social Image Collections", Expert Systems With Applications, Elsevier (SCIE, IF:3.526), Volume 77, pp. 20-33, 1 July 2017.
- Kifayat Ullah Khan, Batjargal Dolgorsuren, Nguyen Anh Tu, Waqas Nawaz, and Young-Koo Lee, “Faster compression methods for a weighted graph using locality sensitive hashing", Information Sciences, Elsevier (SCI, IF: 4.832), 29 July 2017.
- Nguyen Anh Tu, Dong-Luong Dinh, Mostofa Kamal Rasel, and Young-Koo Lee, “Topic modeling and improvement of image represent-ation for large-scale image retrieval", Information Sciences, Elsevier (SCI, IF:4.832), Volume 366, 20 October 2016.
- Mostofa Kamal Rasel, Yongkoo Han, Jinseung Kim, Kisung Park, Nguyen Anh Tu, and YoungKoo Lee, “iTri: Index-based triangle listing in massive graphs", Information Sciences, Elsevier (SCI, IF:4.832), Volume 336, 1 April 2016.
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
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Edge-assisted Activity Recognition Using Skeletal Representation and Deep Learning for Video Surveillance
Nguyen, A. T., Huynh-The, T. & Pham, Q.
1/1/22 → 12/31/24
Project: FDCRGP
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Towards good practice for convolution and attention with PANs in federated medical image classification
Makhanov, N., Nhan, H. D., Wong, K. S. & Anh Tu, N., Jan 2025, In: Journal of Supercomputing. 81, 1, 26.Research output: Contribution to journal › Article › peer-review
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Benchmarking Federated Few-shot Learning for Video-based Action Recognition
Tu, N. A., Aikyn, N., Makhanov, N., Abu, A., Wong, K. S. & Lee, M. H., 2024, (Accepted/In press) In: IEEE Access. 3519254.Research output: Contribution to journal › Article › peer-review
Open Access -
Efficient facial expression recognition framework based on edge computing
Aikyn, N., Zhanegizov, A., Aidarov, T., Bui, D. M. & Tu, N. A., Jan 2024, In: Journal of Supercomputing. 80, 2, p. 1935-1972 38 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition
Tu, N. A., Abu, A., Aikyn, N., Makhanov, N., Lee, M. H., Le-Huy, K. & Wong, K. S., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024. Institute of Electrical and Electronics Engineers Inc., p. 270-279 10 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Citations (Scopus) -
A Bidirectional Joint Model for Spoken Language Understanding
Tu, N. A., Xuan Hieu, D., Phuong, T. M. & Bach, N. X., 2023, In: Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing.Research output: Contribution to journal › Conference article › peer-review
3 Citations (Scopus)