Thanh-Toan Do

2.6k total citations
52 papers, 895 citations indexed

About

Thanh-Toan Do is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Thanh-Toan Do has authored 52 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 11 papers in Aerospace Engineering. Recurrent topics in Thanh-Toan Do's work include Advanced Image and Video Retrieval Techniques (22 papers), Multimodal Machine Learning Applications (11 papers) and Robotics and Sensor-Based Localization (11 papers). Thanh-Toan Do is often cited by papers focused on Advanced Image and Video Retrieval Techniques (22 papers), Multimodal Machine Learning Applications (11 papers) and Robotics and Sensor-Based Localization (11 papers). Thanh-Toan Do collaborates with scholars based in Australia, United Kingdom and Singapore. Thanh-Toan Do's co-authors include Ngai‐Man Cheung, Tuan Hoang, Tam Nguyen, Ian Reid, Minh–Triet Tran, Yiren Zhou, Trung-Nghia Le, Jiaqi Jiang, Shan Luo and Gustavo Carneiro and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Thanh-Toan Do

48 papers receiving 868 citations

Peers

Thanh-Toan Do

CVPR

ONCOL

Akio Kosaka United States

Alaaeldin El-Nouby Sweden

Alexander Vezhnevets Switzerland

Roman Suvorov Russia

Zongxin Yang China

Rohit Girdhar United States

Yikui Zhai China

Boubakeur Boufama Canada

Amir Atapour–Abarghouei United Kingdom

Adam Kortylewski United States

Akio Kosaka United States

Thanh-Toan Do

840 ×1.4

CVPR

158 ×0.6

413 ×2.5

57 ×0.9

22 ×0.4

ONCOL

Citations per year, relative to Thanh-Toan Do Thanh-Toan Do (= 1×) peers Akio Kosaka

Countries citing papers authored by Thanh-Toan Do

Since Specialization

Citations

This map shows the geographic impact of Thanh-Toan Do's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thanh-Toan Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thanh-Toan Do more than expected).

Fields of papers citing papers by Thanh-Toan Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thanh-Toan Do. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thanh-Toan Do. The network helps show where Thanh-Toan Do may publish in the future.

Co-authorship network of co-authors of Thanh-Toan Do

This figure shows the co-authorship network connecting the top 25 collaborators of Thanh-Toan Do. A scholar is included among the top collaborators of Thanh-Toan Do based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thanh-Toan Do. Thanh-Toan Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Do, Thanh-Toan, et al.. (2025). Few-shot object detection via synthetic features with optimal transport. Computer Vision and Image Understanding. 257. 104350–104350.

Jiang, Jiaqi, et al.. (2025). RoTipBot: Robotic Handling of Thin and Flexible Objects Using Rotatable Tactile Sensors. IEEE Transactions on Robotics. 41. 3684–3702. 3 indexed citations

Nguyen, Vinh-Tiep, et al.. (2024). The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation. IEEE Access. 12. 103488–103503. 4 indexed citations

Pham, Cuong The, Nguyen Van Anh, Trung Le, et al.. (2024). Frequency Attention for Knowledge Distillation. 2266–2275. 18 indexed citations

Holloway, Leona, et al.. (2024). Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study. ArXiv.org. 1–20. 1 indexed citations

Nguyen, Tam, et al.. (2024). MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2874–2881. 5 indexed citations

Do, Thanh-Toan, et al.. (2023). Instance-Level Few-Shot Learning With Class Hierarchy Mining. IEEE Transactions on Image Processing. 32. 2374–2385. 11 indexed citations

Nguyen, Cuong C., et al.. (2023). Instance-Dependent Noisy Label Learning via Graphical Modelling. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2287–2297. 18 indexed citations

Hoang, Tuan, Thanh-Toan Do, Tam Nguyen, & Ngai‐Man Cheung. (2022). Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6289–6302. 28 indexed citations

10.

Le, Trung-Nghia, et al.. (2021). MirrorNet: Bio-Inspired Camouflaged Object Segmentation. IEEE Access. 9. 43290–43300. 93 indexed citations

11.

Le, Trung-Nghia, et al.. (2020). MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation. arXiv (Cornell University). 10 indexed citations

12.

Doan, Anh-Dzung, Yasir Latif, Tat-Jun Chin, et al.. (2019). Scalable Place Recognition Under Appearance Change for Autonomous Driving. 9318–9327. 40 indexed citations

13.

Do, Thanh-Toan, et al.. (2019). Compact Hash Code Learning With Binary Deep Neural Network. IEEE Transactions on Multimedia. 22(4). 992–1004. 17 indexed citations

14.

Chin, Tat-Jun, et al.. (2019). Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 842–857. 30 indexed citations

15.

Hoang, Tuan, et al.. (2018). DeepVQ: A Deep Network Architecture for Vector Quantization. Computer Vision and Pattern Recognition. 2579–2582. 5 indexed citations

16.

Do, Thanh-Toan, Trung Pham, Ming Cai, & Ian Reid. (2018). Real-time monocular object instance 6D pose estimation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 13 indexed citations

17.

Do, Thanh-Toan, Trung Pham, Ming Cai, & Ian Reid. (2018). LieNet: Real-time Monocular Object Instance 6D Pose Estimation.. British Machine Vision Conference. 2. 7 indexed citations

18.

Zhou, Yiren, Thanh-Toan Do, Haitian Zheng, Ngai‐Man Cheung, & Lu Fang. (2016). Computation and Memory Efficient Image Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 28(1). 46–61. 12 indexed citations

19.

Do, Thanh-Toan, Ewa Kijak, Teddy Furon, & Laurent Amsaleg. (2010). Challenging the security of Content-Based Image Retrieval systems. HAL (Le Centre pour la Communication Scientifique Directe). 52–57. 5 indexed citations

20.

Do, Thanh-Toan, Ewa Kijak, Teddy Furon, & Laurent Amsaleg. (2010). Deluding image recognition in sift-based cbir systems. 7–12. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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