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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Projects
- 1 Active
-
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
Research output
- 4 Article
-
Hierarchical Topic Modeling With Pose-Transition Feature For Action Recognition Using 3D Skeleton Data
Nguyen, A., 2018, In: Information Sciences.Research output: Contribution to journal › Article › peer-review
41 Citations (Scopus) -
ML-HDP: A Hierarchical Bayesian Nonparametric Model for Recognizing Human Actions in Video
Nguyen, A., 2018, In: IEEE Transactions on Circuits and Systems for Video Technology.Research output: Contribution to journal › Article › peer-review
-
Featured Correspondence Topic Model for Semantic Search on Social Image Collections
Nguyen, A., 2017, In: Expert Systems with Applications.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Topic modeling and improvement of image represent-ation for large-scale image retrieval
Nguyen, A., 2016, In: Information Sciences.Research output: Contribution to journal › Article › peer-review