PUBLICATIONS

Journal publications/Book chapters:

1. Zheng Zhang, Cuong Nguyen, Kevin Wells, Thanh-Toan Do, Gustavo Carneiro. Learning to Complement with Multiple Humans. Pattern Recognition, 2025. 

2. Jiaqi Jiang, Xuyang Zhang, Daniel Fernandes Gomes, Thanh-Toan Do, Shan Luo. RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors. IEEE Transactions on Robotics, 2025.

3. Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen. Few-Shot Object Detection via Synthetic Features with Optimal Transport. Computer Vision and Image Understanding (CVIU), 2025.

4. Hoang Anh Dung, Cuong Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro. Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. Transactions on Machine Learning Research (TMLR), 2025.

5. Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen. The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation. IEEE Access, 2024.

6. Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo. Robotic Perception of Transparent Objects: A Review. IEEE Transactions on Artificial Intelligence, 2023.

7. Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro. Task Weighting in Meta-learning with Trajectory Optimisation. Transactions on Machine Learning Research (TMLR), 2023. 

8. Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Tam V. Nguyen. Instance-level Few-shot Learning with Class Hierarchy Mining. IEEE Transactions on Image Processing, 2023.

9. Cuong C. Nguyen, Youssef Dawoud, Thanh-Toan Do, Jacinto C. Nascimento, Vasileios Belagiannis, Gustavo Carneiro. Smart task design for meta learning medical image analysis systems: Unsupervised, weakly-supervised, and cross-domain design of meta learning tasks. Meta-Learning with Medical Imaging and Health Informatics Applications, pp. 185-209, Academic Press, 2023.

10. Jiaqi Jiang, Guanqun Cao, Aaron Butterworth, Thanh-Toan Do, Shan Luo. Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping. IEEE/ASME Transactions on Mechatronics, 2022. 

11. Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo. A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. IEEE Robotics and Automation Letters, 2022.

12. Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro. PAC-Bayes Meta-learning with Implicit Task-specific Posteriors. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

13. Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Khanh-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen. Few-Shot Object Detection via Baby Learning. Image and Vision Computing, 2022.

14. Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung. Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Transactions on Neural Networks and Learning Systems, 2021.

15. Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Minh-Quan Le, Khanh Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen. Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite. IEEE Transactions on Image Processing, 2021.

16. Bakhtiar Amen, Syahirul Faiz, Thanh Toan Do. Big data directed acyclic graph model for real-time COVID-19 twitter stream detection. Pattern Recognition, 2021. 

17. Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen. MirrorNet: Bio-Inspired Camouflaged Object Segmentation. IEEE Access, 2021.

18. Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung. Unsupervised Deep Cross-modality Spectral Hashing. IEEE Trans. on Image Processing (TIP), 2020.

19. Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin Fang Ch’ng, Thanh-Toan Do, Ian Reid. Visual Localization Under Appearance Change: Filtering Approaches. Neural Computing and Applications, 2020. 

20. Tuan Hoang, Thanh-Toan Do, Huu Le, Khoa Le, Ngai-Man Cheung. Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. Computer Vision and Image Understanding (CVIU), 2019. 

21. Huu Le, Tat-Jun Chin, Anders Eriksson, Thanh-Toan Do, David Suter. Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019. 

22. Thanh-Toan Do, Tuan Hoang, Khoa Le, Dzung Doan, Ngai-Man Cheung. Compact Hash Code Learning with Binary Deep Neural Network. IEEE Trans. on Multimedia (TMM), 2019.

23. Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung. Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. IEEE Trans. on Image Processing (TIP), 2019.

24. Thanh-Toan Do*, Tuan Hoang*, Khoa Le, Huu Le, Tam V. Nguyen, Ngai-Man Cheung. From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans.  on Multimedia Computing, Communications, and Applications (TOMM), 2019. (*  indicates equal contribution).

25. Tam V. Nguyen, Khanh Nguyen, Thanh-Toan Do. Semantic Prior Analysis for Salient Object Detection. IEEE Trans. on Image Processing (TIP), 2019.

26. Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Mengxuan Tan, Ngai-Man Cheung. On-device Scalable Image-based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Trans. on Image Processing (TIP), 2018.

27. Thanh-Toan Do, Tuan Hoang, Victor Pomponiu, Yiren Zhou, Zhao Chen, Ngai-Man Cheung, Dawn Koh, Aaron Tan, Suat-Hoon Tan. Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. IEEE Trans. on Multimedia (TMM), 2018.

28. Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, John Yearwood. Improving Chamfer Template Matching Using Image Segmentation. IEEE Signal Processing Letters (SPL), 2018. 

29. Thanh-Toan Do, Ngai-Man Cheung. Embedding based on function approximation for large scale image search. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

30. Claire-Helène Demarty, Mats Sjöberg,  Gabriel Constantin,  Ngoc Q. K. Duong,  Bogdan Ionescu, Thanh-Toan Do,  Hanli Wang. Predicting Interestingness of Visual Content. Visual Content Indexing and Retrieval with Psycho‐Visual Models, Springer, 2017.

31. Yiren Zhou, Thanh-Toan Do, Haitian Zheng, Ngai-Man Cheung, Fang Lu. Computation and Memory Efficient Image Segmentation. IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2016.

32. Hossein Nejati, Victor Pomponiu, Thanh-Toan Do, Yiren Zhou, Sahar Iravani, Ngai-Man Cheung. Smartphone and Mobile Image Processing for Assisted Living.  IEEE Signal Processing Magazine, 2016.

Conference publications:

1. Zheng Zhang, Cuong C. Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro. Coverage-Constrained Human-AI Cooperation with Multiple Experts. AAAI Conference on Artificial Intelligence (AAAI), 2026 (Accepted).

2. Van-Anh Nguyen, Trung Le, Mehrtash Harandi, Ehsan Abbasnejad, Thanh-Toan Do, Dinh Phung. Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency. NeurIPS, 2025 (Accepted). 

3. Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do. MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora. EMNLP, 2025.

4. Parul Gupta, Shreya Ghosh, Tom Gedeon, Thanh-Toan Do, Abhinav Dhall. Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations. ACM Multimedia Datasets Track, 2025.

5. Bhanuka Gamage, Nicola McDowell, Dijana Kovacic, Leona Holloway, Thanh-Toan Do, Nicholas Price, Arthur Lowery, Kim Marriott. Smart Glasses for CVI: Co-Designing Extended Reality Solutions to Support Environmental Perception by People with Cerebral Visual Impairment. International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2025.

6. Pari Delir Haghighi, Shunhao Li, Yuxin Zhang, Frada Burstein, Thanh-Toan Do, Daphne Flynn, Christopher Gilfillan. Can Artificial Intelligence Predict Glycaemic Responses to Food from Food Photographs Using a Mobile App?. Health Informatics Knowledge Management Conference, 2025.

7. Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do. PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2025.

8. Long Tung Vuong, Hoang Phan, Vy Vo, Anh Tuan Bui, Thanh-Toan Do, Trung Le, Dinh Phung. Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. CVPR, 2025.

9. Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Phung. Enhancing Dataset Distillation via Non-Critical Region Refinement. CVPR, 2025.

10. Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro. Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. ICLR, 2025. (Oral)

11. Anh Khoa Nguyen Vu, Truong Quoc Truong, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V Nguyen. Multi-Perspective Data Augmentation for Few-shot Object Detection. ICLR, 2025.

12. Jingyong Liang, Bernd Meyer, Issac Ning Lee, Thanh-Toan Do. Self-supervised Learning for Acoustic Few-Shot Classification. ICASSP, 2025.

13. Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do. CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation. WACV, 2025.

14. Parul Gupta, Munawar Hayat, Abhinav Dhall , Thanh-Toan Do. Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models. ACCV, 2024.

15. Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do. DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition. ECCV Workshops, 2024. 

16. Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Price, Arthur Lowery, Kim Marriott. Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study. International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2024. 

17. Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do. MetaAug: Meta-Data Augmentation for Post-Training Quantization. ECCV, 2024.

18. Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro. Learning to Complement and to Defer to Multiple Users. ECCV, 2024.

19. Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro. Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation. ECCV, 2024.

20. Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do. Sharpness-Aware Data Generation for Zero-shot Quantization. ICML, 2024.

21. Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran. MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. AAAI, 2024.

22. Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do. Frequency Attention for Knowledge Distillation. IEEE Winter Conference on Applications of Computer Vision (WACV), 2024.

23. Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do. Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. NeurIPS, 2023.

24. Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Phung. Optimal Transport Model Distributional Robustness. NeurIPS, 2023.

25. Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Phung, Trung Le. Flat Seeking Bayesian Neural Networks. NeurIPS, 2023.

26. Bhanuka Gamage, Thanh-Toan Do, Nicholas Price, Arthur Lowery, Kim Marriott. What do Blind and Low-Vision People Really Want from Assistive Smart Devices? Comparison of the Literature with a Focus Study. International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2023. 

27. Cuong Pham, Tuan Hoang, Thanh-Toan Do. Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks. IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.

28. Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro. Instance-Dependent Noisy Label Learning via Graphical Modelling. IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.

29. Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo. Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. International Joint Conference on Rules and Reasoning (RuleML+RR), 2021. 

30. Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro. Probabilistic task modelling for meta-learning. Conference on Uncertainty in Artificial Intelligence (UAI), 2021.

31. Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do. Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding.  British Machine Vision Conference (BMVC), 2020.

32. Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka. Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. ACM International Conference on Multimedia (ACM MM), 2020.

33. Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do. Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering. European Conference on Computer Vision Workshops (ECCVW), 2020.

34. Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung. Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. IJCAI, 2020.

35. Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do. Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. International Joint Conference on Neural Networks (IJCNN), 2020.

36. Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro. Uncertainty in Model-Agnostic Meta-Learning using Variational Inference.  IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.

37. Tuong Do*, Thanh-Toan Do*, Huy Tran, Erman Tjiputra, Quang D. Tran. Compact Trilinear Interaction for Visual Question Answering. ICCV, 2019. (* indicates equal contribution).

38. Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian Reid. Scalable Place Recognition Under Appearance Change for Autonomous Driving. ICCV, 2019. (Oral). 

39. Anh Nguyen, Quang D. Tran, Thanh-Toan Do, Ian Reid, Darwin G. Caldwell, Nikos G. Tsagarakis. Object Captioning and Retrieval with Natural Language. International Conference in Computer Vision Workshops (ICCVW), 2019, Korea. 

40. Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin Fang Ch’ng, Thanh-Toan Do, Ian Reid. Visual Localization Under Appearance Change: A Filtering Approach. International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2019, Australia. 

41. Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran. Overcoming Data Limitation in Medical Visual Question Answering. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

42. Toan Tran, Thanh-Toan Do, Ian Reid, Gustavo Carneiro. Bayesian Generative Active Deep Learning. ICML, 2019. 

43. Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro. A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CVPR, 2019. 

44. Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung. SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CVPR, 2019. (Oral).

45. Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis.  Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked Spatial LSTM Networks. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019, US.

46. Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian Reid. Binary Constrained Deep Hashing Network for Image Retrieval without Manual Annotation. IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, US.

47. Huu Le, Anders Eriksson, Thanh-Toan Do, Michael Milford. A Binary Optimization Approach for Constrained K-Means Clustering. Asian Conference on Computer Vision (ACCV), 2018, Australia. 

48. Thanh-Toan Do, Trung Pham, Ming Cai, Ian Reid. Real-time Monocular Object Instance 6D Pose Estimation. British Machine Vision Conference (BMVC), 2018. (Oral)

49. Huu Le, Anders Eriksson, Michael Milford, Thanh-Toan Do, Tat-Jun Chin, David Suter. Non-smooth M-estimator for Maximum Consensus Estimation. British Machine Vision Conference (BMVC), 2018. (Oral, Best Science Paper Award)

50. Trung Pham, Vijay Kumar B G, Thanh-Toan Do, Gustavo Carneiro, Ian Reid. Bayesian Semantic Instance Segmentation in Open Set World. European Conference on Computer Vision (ECCV), 2018, Germany.

51. Dang-Khoa Le Tan*, Huu Le*, Tuan Hoang*, Thanh-Toan Do, Ngai-Man Cheung. DeepVQ: A Deep Network Architecture for Vector Quantization. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018, US.

52. Romain Cohendet, Claire-Hélène Demarty, Ngoc Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do. Predicting Media Memorability Task. MediaEval Workshop, 2018, France.

53. Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung. Supervised Hashing with End-to-End Binary Deep Neural Network. IEEE International Conference on Image Processing (ICIP), 2018, Greece.

54. Thanh-Toan Do*, Anh Nguyen*, Ian Reid. AffordanceNet: An end-to-end deep learning approach for object affordance detection. IEEE International Conference on Robotics and Automation (ICRA), 2018, Australia. (* indicates equal contribution).

55. Trung Pham, Thanh-Toan Do, Niko Sünderhauf, Ian Reid. SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. IEEE International Conference on Robotics and Automation (ICRA), 2018, Australia.

56. Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung. Simultaneous Feature Aggregating and Hashing for Large-scale Image Search. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, US.

57. Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung. Selective Deep Convolutional Features for Image Retrieval. ACM International Conference on Multimedia (ACM MM), 2017, US.

58. Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung. Enhancing Feature Discrimination for Unsupervised Hashing. IEEE International Conference on Image Processing (ICIP), 2017, China.

59. Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Michael Gygli, Ngoc Q. K. Duong. MediaEval 2017 Predicting Media Interestingness Task. MediaEval 2017, Ireland.

60. Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung. Learning to Hash with Binary Deep Neural Network. European Conference on Computer Vision (ECCV), 2016, The Netherlands.

61. Thanh-Toan Do, Anh-Dzung Doan, Duc-Thanh Nguyen, Ngai-Man Cheung. Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. European Conference on Computer Vision (ECCV), 2016, The Netherlands. (Spotlight)

62. Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang, Ngoc Q. K. Duong, Frédéric Lefebvre. MediaEval 2016 Predicting Media Interestingness Task. MediaEval 2016, The Netherlands.

63. Yiren Zhou, Hossein Nejati, Thanh-Toan Do, Ngai-Man Cheung, Lynette Cheah. Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study. IEEE International Conference on Digital Signal Processing (DSP), 2016, China.

64. Thanh-Toan Do, Quang Tran, Ngai-Man Cheung. FAemb: a function approximation-based embedding method for image retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, US.

65. Thanh-Toan Do,  Victor Pomponiu, Yiren Zhou, Zheng Haitian, Chen Zhao, Ngai-Man Cheung, Dawn C-I Koh, Ricardo Sosa, Aaron Tan, Martin Chio, Michelle Liang, Suat-Hoon Tan and Susan Swetter. Designing a Mobile Imaging System for Early Melanoma Detection.  American Academy of Dermatology (AAD) Annual Meeting, 2015, US.

66. Thanh-Toan Do, Yiren Zhou, H. Zheng, Ngai-Man Cheung, Dawn Koh. Early melanoma diagnosis with mobile imaging. IEEE Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), 2014, US.

67. Thanh-Toan Do, Yiren Zhou, Haitian Zheng, Hossein Nejati, Ngai-Man Cheung, Dawn Koh, Ricardo Sosa, Suat-Hoon Tan, Martin Chio, Michelle Liang, Aaron Tan, and Susan Swetter. Design of a Mobile Imaging System for Early Diagnosis of Skin Cancer. IEEE Life Sciences Grand Challenges Conference, 2013, Singapore. (Best poster award).

68. Thanh-Toan Do,  Laurent  Amsaleg,  Ewa  Kijak,  Teddy  Furon.  Security-Oriented  Picture-InPicture  Visual  Modification.  ACM  International  Conference  on  Multimedia  Retrieval  (ICMR),  2012, HongKong.

69. Thanh-Toan Do,  Ewa  Kijak,  Laurent  Amsaleg,  Teddy  Furon.  Enlarging  hacker's  toolbox: deluding  image  recognition  by  attacking  keypoint  orientations.  International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012, Japan.

70. Thanh-Toan Do,  Ewa  Kijak.  Face  Recognition  Using  Co-occurence  Histograms  of  Oriented Gradients.  International  Conference  on  Acoustics,  Speech,  and  Signal  Processing (ICASSP), 2012, Japan. 

71. Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg. Understanding the Security and Robustness of Sift. ACM International Conference on Multimedia (ACM MM), 2010, Florence, Italy.

72. Thanh-Toan  Do,  Ewa  Kijak,  Teddy  Furon,  Laurent  Amsaleg.  Deluding  Image  Recognition  in SIFT-based CBIR Systems. ACM International Conference on Multimedia (ACM MM)-Workshop on Multimedia in Forensics, Security and Intelligence, 2010,  Florence, Italy.

73. Thanh-Toan  Do,  Ewa  Kijak,  Teddy  Furon,  Laurent  Amsaleg.  Challenging  the  Security  of Content-Based  Image  Retrieval  Systems.  IEEE  International  Workshop  on  Multimedia  Signal Processing (MMSP), 2010, Saint-Malo, France.