ML Anthology

Do, Thanh-Toan

36 publications

WACV 2025 CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do
CVPR 2025 Enhancing Dataset Distillation via Non-Critical Region Refinement Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Phung
NeurIPS 2025 Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency Van-Anh Nguyen, Trung Le, Mehrtash Harandi, Ehsan Abbasnejad, Thanh-Toan Do, Dinh Phung
TMLR 2025 Maximising the Utility of Validation Sets for Imbalanced Noisy-Label Meta-Learning Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro
ICLR 2025 Multi-Perspective Data Augmentation for Few-Shot Object Detection Anh Khoa Nguyen Vu, Truong Quoc Truong, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Tam V. Nguyen
CVPR 2025 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
ICLR 2025 Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
ECML-PKDD 2025 PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document Retrieval Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do
ECCVW 2024 DiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do
WACV 2024 Frequency Attention for Knowledge Distillation Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
ECCV 2024 Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation Arpit Garg, Cuong Cao Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
ECCV 2024 Learning to Complement and to Defer to Multiple Users Zheng Zhang, Wenjie Ai, Kevin Wells, David M Rosewarne, Thanh-Toan Do, Gustavo Carneiro
AAAI 2024 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
ECCV 2024 MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Van Pham, Hoang Anh Dung, Cuong Cao Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
ICML 2024 Sharpness-Aware Data Generation for Zero-Shot Quantization Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do
WACV 2023 Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks Cuong Pham, Tuan Hoang, Thanh-Toan Do
NeurIPS 2023 Flat Seeking Bayesian Neural Networks Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Phung, Trung Le
WACV 2023 Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
NeurIPS 2023 Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning Van Cuong Pham, Cuong Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
NeurIPS 2023 Optimal Transport Model Distributional Robustness Van-Anh Nguyen, Trung Le, Anh Bui, Thanh-Toan Do, Dinh Phung
TMLR 2023 Task Weighting in Meta-Learning with Trajectory Optimisation Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
IJCAI 2022 Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract) Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
UAI 2021 Probabilistic Task Modelling for Meta-Learning Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
IJCAI 2020 Direct Quantization for Training Highly Accurate Low Bit-Width Deep Neural Networks Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
ECCVW 2020 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
WACV 2020 Uncertainty in Model-Agnostic Meta-Learning Using Variational Inference Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
ICML 2019 Bayesian Generative Active Deep Learning Toan Tran, Thanh-Toan Do, Ian Reid, Gustavo Carneiro
WACV 2019 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
ICCVW 2019 Object Captioning and Retrieval with Natural Language Anh Nguyen, Quang D. Tran, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis
CVPRW 2019 Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked Spatial LSTM Networks Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis
ECCV 2018 Bayesian Semantic Instance Segmentation in Open Set World Trung Pham, Vijay B. G. Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian Reid
CVPRW 2018 DeepVQ: A Deep Network Architecture for Vector Quantization Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung
CVPR 2017 Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung
ECCV 2016 Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung
ECCV 2016 Learning to Hash with Binary Deep Neural Network Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung
CVPR 2015 FAemb: A Function Approximation-Based Embedding Method for Image Retrieval Thanh-Toan Do, Quang D. Tran, Ngai-Man Cheung