| 2026 | AAAI | Coverage-Constrained Human-AI Cooperation with Multiple Experts. | Zheng Zhang, Cuong C. Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro |
| 2026 | ACL | Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models. | Cuong Pham, Dung Anh Hoang, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Thanh-Toan Do |
| 2025 | ASSETS | Smart Glasses for CVI: Co-Designing Extended Reality Solutions to Support Environmental Perception by People with Cerebral Visual Impairment. | Bhanuka Gamage, Nicola McDowell, Dijana Kovacic, Leona Holloway, Thanh-Toan Do, Arthur James Lowery, Nicholas Price, Kim Marriott |
| 2025 | CVPR | Enhancing Dataset Distillation via Non-Critical Region Refinement. | Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Q. Phung |
| 2025 | CVPR | Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation. | Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung |
| 2025 | EMNLP | MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora. | Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do |
| 2025 | ICASSP | Self-supervised Learning for Acoustic Few-Shot Classification. | Jingyong Liang, Bernd Meyer, Issac Ning Lee, Thanh-Toan Do |
| 2025 | ICLR | Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. | Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro |
| 2025 | ICLR | Multi-Perspective Data Augmentation for Few-shot Object Detection. | Anh-Khoa Nguyen Vu, Quoc-Truong Truong, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen |
| 2025 | WACV | CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation. | Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do |
| 2024 | AAAI | MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. | Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran |
| 2024 | ACCV | Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models. | Parul Gupta, Munawar Hayat, Abhinav Dhall, Thanh-Toan Do |
| 2024 | ASSETS | Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study. | Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott |
| 2024 | CHI | Broadening Our View: Assistive Technology for Cerebral Visual Impairment. | Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott |
| 2024 | ECCV | Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. | Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro |
| 2024 | ECCV | DiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition. | Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do |
| 2024 | ECCV | MetaAug: Meta-data Augmentation for Post-training Quantization. | Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do |
| 2024 | ECCV | Learning to Complement and to Defer to Multiple Users. | Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro |
| 2024 | ICML | Sharpness-Aware Data Generation for Zero-shot Quantization. | Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do |
| 2024 | WACV | Frequency Attention for Knowledge Distillation. | Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do |
| 2023 | ASSETS | What do Blind and Low-Vision People Really Want from Assistive Smart Devices? Comparison of the Literature with a Focus Study. | Bhanuka Gamage, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott |
| 2023 | WACV | Instance-Dependent Noisy Label Learning via Graphical Modelling. | Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro |
| 2023 | WACV | Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. | Cuong Pham, Tuan Hoang, Thanh-Toan Do |
| 2022 | IJCAI | Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract). | Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo |
| 2021 | UAI | Probabilistic task modelling for meta-learning. | Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro |
| 2020 | BMVC | Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. | Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do |
| 2020 | ECCV | Multiple Interaction Learning with Question-Type Prior Knowledge for Constraining Answer Search Space in Visual Question Answering. | Tuong Do, Binh X. Nguyen, Huy Tran, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do |
| 2020 | IJCAI | Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. | Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung |
| 2020 | IJCNN | Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. | Flvia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do |
| 2020 | WACV | Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. | Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro |
| 2019 | CVPR | A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. | Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro |
| 2019 | CVPR | SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. | Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung |
| 2019 | CVPR | Real-Time 6DOF Pose Relocalization for Event Cameras With Stacked Spatial LSTM Networks. | Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis |
| 2019 | DICTA | Visual Localization under Appearance Change: A Filtering Approach. | Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid |
| 2019 | ICCV | Scalable Place Recognition Under Appearance Change for Autonomous Driving. | Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid |
| 2019 | ICCV | Compact Trilinear Interaction for Visual Question Answering. | Tuong Do, Huy Tran, Thanh-Toan Do, Erman Tjiputra, Quang D. Tran |
| 2019 | ICML | Bayesian Generative Active Deep Learning. | Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro |
| 2019 | MICCAI | Overcoming Data Limitation in Medical Visual Question Answering. | Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran |
| 2019 | WACV | Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. | Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid |
| 2018 | ACCV | A Binary Optimization Approach for Constrained K-Means Clustering. | Huu M. Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford |
| 2018 | BMVC | LieNet: Real-time Monocular Object Instance 6D Pose Estimation. | Thanh-Toan Do, Trung Pham, Ming Cai, Ian Reid |
| 2018 | BMVC | Non-smooth M-estimator for Maximum Consensus Estimation. | Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter |
| 2018 | CVPR | DeepVQ: A Deep Network Architecture for Vector Quantization. | Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung |
| 2018 | ECCV | Bayesian Semantic Instance Segmentation in Open Set World. | Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid |
| 2018 | ICIP | Supervised Hashing with End-to-End Binary Deep Neural Network. | Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung |
| 2018 | ICRA | AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. | Thanh-Toan Do, Anh Nguyen, Ian D. Reid |
| 2018 | ICRA | SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. | Trung T. Pham, Thanh-Toan Do, Niko Snderhauf, Ian D. Reid |
| 2017 | CVPR | Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search. | Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung |
| 2017 | ICIP | Enhancing feature discrimination for unsupervised hashing. | Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung |
| 2016 | ECCV | Learning to Hash with Binary Deep Neural Network. | Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung |
| 2016 | ECCV | Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. | Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung |
| 2015 | CVPR | FAemb: A function approximation-based embedding method for image retrieval. | Thanh-Toan Do, Quang D. Tran, Ngai-Man Cheung |
| 2012 | ICASSP | Face recognition using Co-occurrence Histograms of Oriented Gradients. | Thanh-Toan Do, Ewa Kijak |
| 2012 | ICASSP | Enlarging hacker's toolbox: Deluding image recognition by attacking keypoint orientations. | Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon |
| 2010 | MMSP | Challenging the security of Content-Based Image Retrieval systems. | Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg |