Understanding the security and robustness of SIFT. - Thanh-Toan Do; Ewa Kijak; Teddy Furon; Laurent Amsaleg (ACM Multimedia, 2010)

Deluding image recognition in sift-based cbir systems. - Thanh-Toan Do; Ewa Kijak; Teddy Furon; Laurent Amsaleg (MiFor@MM, 2010)

Challenging the security of Content-Based Image Retrieval systems. - Thanh-Toan Do; Ewa Kijak; Teddy Furon; Laurent Amsaleg (MMSP, 2010)

Face recognition using Co-occurrence Histograms of Oriented Gradients. - Thanh-Toan Do; Ewa Kijak (ICASSP, 2012)

Enlarging hacker's toolbox: Deluding image recognition by attacking keypoint orientations. - Thanh-Toan Do; Ewa Kijak; Laurent Amsaleg; Teddy Furon (ICASSP, 2012)

Security-oriented picture-in-picture visual modifications. - Thanh-Toan Do; Ewa Kijak; Laurent Amsaleg; Teddy Furon (ICMR, 2012)

Security analysis of image copy detection systems based on SIFT descriptors. - Thanh-Toan Do (2012)

Early melanoma diagnosis with mobile imaging. - Thanh-Toan Do; Yiren Zhou; Haitian Zheng; Ngai-Man Cheung; Dawn Chin-Ing Koh (EMBC, 2014)

FAemb: A function approximation-based embedding method for image retrieval. - Thanh-Toan Do; Quang D. Tran; Ngai-Man Cheung (CVPR, 2015)

Discrete Hashing with Deep Neural Network. - Thanh-Toan Do; Anh-Zung Doan; Ngai-Man Cheung (CoRR, 2015)

Learning to Hash with Binary Deep Neural Network. - Thanh-Toan Do; Anh-Dzung Doan; Ngai-Man Cheung (ECCV (5), 2016)

Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian. - Thanh-Toan Do; Anh-Dzung Doan; Duc Thanh Nguyen; Ngai-Man Cheung (ECCV (2), 2016)

Image-based vehicle analysis using deep neural network: A systematic study. - Yiren Zhou; Hossein Nejati; Thanh-Toan Do; Ngai-Man Cheung; Lynette Cheah (DSP, 2016)

MediaEval 2016 Predicting Media Interestingness Task. - Claire-Hélène Demarty; Mats Sjöberg; Bogdan Ionescu; Thanh-Toan Do; Hanli Wang; Ngoc Q. K. Duong; Frédéric Lefèbvre (MediaEval, 2016)

Smartphone and Mobile Image Processing for Assisted Living: Health-monitoring apps powered by advanced mobile imaging algorithms. - Hossein Nejati; Victor Pomponiu; Thanh-Toan Do; Yiren Zhou; Sahar Iravani; Ngai-Man Cheung (IEEE Signal Process. Mag., 2016)

Predicting Interestingness of Visual Content. - Claire-Hélène Demarty; Mats Sjöberg; Mihai Gabriel Constantin; Ngoc Q. K. Duong; Bogdan Ionescu; Thanh-Toan Do; Hanli Wang (Visual Content Indexing and Retrieval with Psycho-Visual Models, 2017)

Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search. - Thanh-Toan Do; Dang-Khoa Le Tan; Trung T. Pham; Ngai-Man Cheung (CVPR, 2017)

Enhancing feature discrimination for unsupervised hashing. - Tuan Hoang; Thanh-Toan Do; Dang-Khoa Le Tan; Ngai-Man Cheung (ICIP, 2017)

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

Selective Deep Convolutional Features for Image Retrieval. - Tuan Hoang; Thanh-Toan Do; Dang-Khoa Le Tan; Ngai-Man Cheung (ACM Multimedia, 2017)

Enhance Feature Discrimination for Unsupervised Hashing. - Tuan Hoang; Thanh-Toan Do; Dang-Khoa Le Tan; Ngai-Man Cheung (CoRR, 2017)

Real-Time Pose Estimation for Event Cameras with Stacked Spatial LSTM Networks. - Anh Nguyen 003; Thanh-Toan Do; Darwin G. Caldwell; Nikos G. Tsagarakis (CoRR, 2017)

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. - Thanh-Toan Do; Anh Nguyen 003; Ian D. Reid 001; Darwin G. Caldwell; Nikos G. Tsagarakis (CoRR, 2017)

Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. - Thanh-Toan Do; Victor Pomponiu; Yiren Zhou; Tuan Hoang; Zhao Chen; Ngai-Man Cheung; Dawn Chin-Ing Koh; Aaron Tan; Suat-Hoon Tan (CoRR, 2017)

Compact Hash Code Learning with Binary Deep Neural Network. - Thanh-Toan Do; Dang-Khoa Le Tan; Tuan Hoang; Ngai-Man Cheung (CoRR, 2017)

A Binary Optimization Approach for Constrained K-Means Clustering. - Huu M. Le; Anders P. Eriksson; Thanh-Toan Do; Michael Milford (ACCV (4), 2018)

LieNet: Real-time Monocular Object Instance 6D Pose Estimation. - Thanh-Toan Do; Trung Pham; Ming Cai; Ian Reid 001 (BMVC, 2018)

Non-smooth M-estimator for Maximum Consensus Estimation. - Huu Le; Anders P. Eriksson; Thanh-Toan Do; Tat-Jun Chin; David Suter (BMVC, 2018)

DeepVQ: A Deep Network Architecture for Vector Quantization. - Dang-Khoa Le Tan; Huu Le; Tuan Hoang; Thanh-Toan Do; Ngai-Man Cheung (CVPR Workshops, 2018)

Bayesian Semantic Instance Segmentation in Open Set World. - Trung Pham; B. G. Vijay Kumar; Thanh-Toan Do; Gustavo Carneiro 001; Ian D. Reid 001 (ECCV (10), 2018)

Supervised Hashing with End-to-End Binary Deep Neural Network. - Dang-Khoa Le Tan; Thanh-Toan Do; Ngai-Man Cheung (ICIP, 2018)

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection. - Thanh-Toan Do; Anh Nguyen 003; Ian D. Reid 001 (ICRA, 2018)

SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. - Trung T. Pham; Thanh-Toan Do; Niko Sünderhauf; Ian D. Reid 001 (ICRA, 2018)

MediaEval 2018: Predicting Media Memorability. - Romain Cohendet; Claire-Hélène Demarty; Ngoc Q. K. Duong; Mats Sjöberg; Bogdan Ionescu; Thanh-Toan Do (MediaEval, 2018)

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. - Thanh-Toan Do; Tuan Hoang; Dang-Khoa Le Tan; Ngai-Man Cheung (CoRR, 2018)

On-device Scalable Image-based Localization. - Ngoc-Trung Tran; Dang-Khoa Le Tan; Anh-Dzung Doan; Thanh-Toan Do; Tuan-Anh Bui; Ngai-Man Cheung (CoRR, 2018)

Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. - Tuan Hoang; Thanh-Toan Do; Dang-Khoa Le Tan; Ngai-Man Cheung (CoRR, 2018)

Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention. - Thanh-Toan Do; Dang-Khoa Le Tan; Trung Pham; Tuan Hoang; Ngai-Man Cheung (CoRR, 2018)

Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image. - Thanh-Toan Do; Ming Cai; Trung Pham; Ian D. Reid 001 (CoRR, 2018)

Object Captioning and Retrieval with Natural Language. - Anh Nguyen 003; Thanh-Toan Do; Ian D. Reid 001; Darwin G. Caldwell; Nikos G. Tsagarakis (CoRR, 2018)

G2D: from GTA to Data. - Anh-Dzung Doan; Abdul Mohsi Jawaid; Thanh-Toan Do; Tat-Jun Chin (CoRR, 2018)

MediaEval 2018: Predicting Media Memorability Task. - Romain Cohendet; Claire-Hélène Demarty; Ngoc Q. K. Duong; Mats Sjöberg; Bogdan Ionescu; Thanh-Toan Do; France Rennes (CoRR, 2018)

Practical Visual Localization for Autonomous Driving: Why Not Filter? - Anh-Dzung Doan; Thanh-Toan Do; Yasir Latif; Tat-Jun Chin; Ian D. Reid 001 (CoRR, 2018)

Embedding Based on Function Approximation for Large Scale Image Search. - Thanh-Toan Do; Ngai-Man Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Improving Chamfer Template Matching Using Image Segmentation. - Duc Thanh Nguyen; Ngoc-Son Vu; Thanh-Toan Do; Thin Nguyen; John Yearwood (IEEE Signal Process. Lett., 2018)

Computation and Memory Efficient Image Segmentation. - Yiren Zhou; Thanh-Toan Do; Haitian Zheng; Ngai-Man Cheung; Lu Fang 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis. - Thanh-Toan Do; Tuan Hoang; Victor Pomponiu; Yiren Zhou; Zhao Chen 005; Ngai-Man Cheung; Dawn Chin-Ing Koh; Aaron Tan; Suat-Hoon Tan (IEEE Trans. Multim., 2018)

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. - Thanh-Toan Do; Toan Tran 002; Ian D. Reid 001; B. G. Vijay Kumar; Tuan Hoang; Gustavo Carneiro 001 (CVPR, 2019)

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

Real-Time 6DOF Pose Relocalization for Event Cameras With Stacked Spatial LSTM Networks. - Anh Nguyen 003; Thanh-Toan Do; Darwin G. Caldwell; Nikos G. Tsagarakis (CVPR Workshops, 2019)

Visual Localization under Appearance Change: A Filtering Approach. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Shin-Fang Ch'ng; Thanh-Toan Do; Ian D. Reid 001 (DICTA, 2019)

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

Scalable Place Recognition Under Appearance Change for Autonomous Driving. - Dzung A. Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Thanh-Toan Do; Ian D. Reid 001 (ICCV, 2019)

Object Captioning and Retrieval with Natural Language. - Anh Nguyen 003; Quang D. Tran; Thanh-Toan Do; Ian D. Reid 001; Darwin G. Caldwell; Nikos G. Tsagarakis (ICCV Workshops, 2019)

Bayesian Generative Active Deep Learning. - Toan Tran 002; Thanh-Toan Do; Ian D. Reid 001; Gustavo Carneiro 001 (ICML, 2019)

Overcoming Data Limitation in Medical Visual Question Answering. - Binh D. Nguyen; Thanh-Toan Do; Binh X. Nguyen; Tuong Do; Erman Tjiputra; Quang D. Tran (MICCAI (4), 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 001 (WACV, 2019)

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. - Yu Liu 029; Lingqiao Liu; Seyed Hamid Rezatofighi; Thanh-Toan Do; Qinfeng Shi; Ian D. Reid 001 (CoRR, 2019)

SASSE: Scalable and Adaptable 6-DOF Pose Estimation. - Huu Le; Tuan Hoang; Qianggong Zhang; Thanh-Toan Do; Anders P. Eriksson; Michael Milford (CoRR, 2019)

V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation. - Anh Nguyen 003; Thanh-Toan Do; Ian D. Reid 001; Darwin G. Caldwell; Nikos G. Tsagarakis (CoRR, 2019)

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. - Thanh-Toan Do; Khoa Le; Tuan Hoang; Huu Le; Tam V. Nguyen 002; Ngai-Man Cheung (IEEE Trans. Image Process., 2019)

Semantic Prior Analysis for Salient Object Detection. - Tam V. Nguyen 002; Khanh-Duy Nguyen; Thanh-Toan Do (IEEE Trans. Image Process., 2019)

On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. - Ngoc-Trung Tran; Dang-Khoa Le Tan; Anh-Dzung Doan; Thanh-Toan Do; Tuan-Anh Bui; Mengxuan Tan; Ngai-Man Cheung (IEEE Trans. Image Process., 2019)

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. - Thanh-Toan Do; Tuan Hoang; Dang-Khoa Le Tan; Huu Le; Tam V. Nguyen 002; Ngai-Man Cheung (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. - Binh X. Nguyen; Binh D. Nguyen; Gustavo Carneiro 001; Erman Tjiputra; Quang D. Tran; Thanh-Toan Do (BMVC, 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 (ECCV Workshops (2), 2020)

Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. - Tuan Hoang; Thanh-Toan Do; Tam V. Nguyen 002; Ngai-Man Cheung (IJCAI, 2020)

Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. - Flávia Alves; Martin Gairing; Frans A. Oliehoek; Thanh-Toan Do (IJCNN, 2020)

Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. - Tuan Hoang; Thanh-Toan Do; Ngai-Man Cheung; Michael Riegler 001; Jan Zahálka (ACM Multimedia, 2020)

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (WACV, 2020)

PAC-Bayesian Meta-learning with Implicit Prior. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2020)

MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation. - Jinnan Yan; Trung-Nghia Le; Khanh-Duy Nguyen; Minh-Triet Tran; Thanh-Toan Do; Tam V. Nguyen 002 (CoRR, 2020)

Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. - Tuan Hoang; Thanh-Toan Do; Huu Le; Dang-Khoa Le Tan; Ngai-Man Cheung (Comput. Vis. Image Underst., 2020)

Unsupervised Deep Cross-modality Spectral Hashing. - Tuan Hoang; Thanh-Toan Do; Tam V. Nguyen 002; Ngai-Man Cheung (IEEE Trans. Image Process., 2020)

Compact Hash Code Learning With Binary Deep Neural Network. - Thanh-Toan Do; Tuan Hoang; Dang-Khoa Le Tan; Anh-Dzung Doan; Ngai-Man Cheung (IEEE Trans. Multim., 2020)

Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. - Manolis Pitsikalis; Thanh-Toan Do; Alexei Lisitsa 001; Shan Luo 001 (RuleML+RR, 2021)

Probabilistic task modelling for meta-learning. - Cuong Cao Nguyen; Thanh-Toan Do; Gustavo Carneiro 001 (UAI, 2021)

MirrorNet: Bio-Inspired Camouflaged Object Segmentation. - Jinnan Yan; Trung-Nghia Le; Khanh-Duy Nguyen; Minh-Triet Tran; Thanh-Toan Do; Tam V. Nguyen 002 (IEEE Access, 2021)

Similarity of Classification Tasks. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2021)

Camouflaged Instance Segmentation: Dataset and Benchmark Suite. - Trung-Nghia Le; Yubo Cao; Tan-Cong Nguyen; Khanh-Duy Nguyen; Thanh-Toan Do; Minh-Triet Tran; Tam V. Nguyen 002 (CoRR, 2021)

Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. - Tuan Hoang; Thanh-Toan Do; Tam V. Nguyen 002; Ngai-Man Cheung (CoRR, 2021)

Visual localization under appearance change: filtering approaches. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Shin-Fang Ch'ng; Thanh-Toan Do; Ian Reid 001 (Neural Comput. Appl., 2021)

Deterministic Approximate Methods for Maximum Consensus Robust Fitting. - Huu Le; Tat-Jun Chin; Anders P. Eriksson; Thanh-Toan Do; David Suter (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract). - Manolis Pitsikalis; Thanh-Toan Do; Alexei Lisitsa 001; Shan Luo 001 (IJCAI, 2022)

Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping. - Jiaqi Jiang; Guanqun Cao; Aaron Butterworth; Thanh-Toan Do; Shan Luo 001 (CoRR, 2022)

Vision Transformer Visualization: What Neurons Tell and How Neurons Behave? - Van-Anh Nguyen; Khanh Pham Dinh; Long Tung Vuong; Thanh-Toan Do; Quan Hung Tran; Dinh Q. Phung; Trung Le 001 (CoRR, 2022)

Few-shot object detection via baby learning. - Anh-Khoa Nguyen Vu; Nhat-Duy Nguyen; Khanh-Duy Nguyen; Vinh-Tiep Nguyen; Thanh Duc Ngo; Thanh-Toan Do; Tam V. Nguyen 002 (Image Vis. Comput., 2022)

Big data directed acyclic graph model for real-time COVID-19 twitter stream detection. - Bakhtiar Amen; Syahirul Faiz; Thanh-Toan Do (Pattern Recognit., 2022)

A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. - Jiaqi Jiang; Guanqun Cao; Thanh-Toan Do; Shan Luo 001 (IEEE Robotics Autom. Lett., 2022)

Camouflaged Instance Segmentation In-the-Wild: Dataset, Method, and Benchmark Suite. - Trung-Nghia Le; Yubo Cao; Tan-Cong Nguyen; Minh-Quan Le; Khanh-Duy Nguyen; Thanh-Toan Do; Minh-Triet Tran; Tam V. Nguyen 002 (IEEE Trans. Image Process., 2022)

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 (ASSETS, 2023)

Optimal Transport Model Distributional Robustness. - Van-Anh Nguyen; Trung Le 001; Anh Tuan Bui; Thanh-Toan Do; Dinh Q. Phung (NeurIPS, 2023)

Flat Seeking Bayesian Neural Networks. - Van-Anh Nguyen; Tung-Long Vuong; Hoang Phan; Thanh-Toan Do; Dinh Q. Phung; Trung Le 001 (NeurIPS, 2023)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. - Van Cuong Pham; Cuong C. Nguyen; Trung Le 001; Dinh Phung 001; Gustavo Carneiro 001; Thanh-Toan Do (NeurIPS, 2023)

Instance-Dependent Noisy Label Learning via Graphical Modelling. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (WACV, 2023)

Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. - Cuong Pham 007; Tuan Hoang; Thanh-Toan Do (WACV, 2023)

Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2023)

Flat Seeking Bayesian Neural Networks. - Van-Anh Nguyen; Long Tung Vuong; Hoang Phan; Thanh-Toan Do; Dinh Q. Phung; Trung Le 001 (CoRR, 2023)

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2023)

Few-shot Camouflaged Animal Detection and Segmentation. - 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 002 (CoRR, 2023)

Noisy-label Learning with Sample Selection based on Noise Rate Estimate. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2023)

Unveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation. - Minh-Quan Le; Minh-Triet Tran; Trung-Nghia Le; Tam V. Nguyen 002; Thanh-Toan Do (CoRR, 2023)

PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. - Cuong Nguyen 006; Thanh-Toan Do; Gustavo Carneiro 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Instance-Level Few-Shot Learning With Class Hierarchy Mining. - Anh-Khoa Nguyen Vu; Thanh-Toan Do; Nhat-Duy Nguyen; Vinh-Tiep Nguyen; Thanh Duc Ngo; Tam V. Nguyen 002 (IEEE Trans. Image Process., 2023)

Task Weighting in Meta-learning with Trajectory Optimisation. - Cuong C. Nguyen; Thanh-Toan Do; Gustavo Carneiro 001 (Trans. Mach. Learn. Res., 2023)

Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. - Tuan Hoang; Thanh-Toan Do; Tam V. Nguyen 002; Ngai-Man Cheung (IEEE Trans. Neural Networks Learn. Syst., 2023)

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. - Minh-Quan Le; Tam V. Nguyen 002; Trung-Nghia Le; Thanh-Toan Do; Minh N. Do; Minh-Triet Tran (AAAI, 2024)

Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models. - Parul Gupta; Munawar Hayat; Abhinav Dhall; Thanh-Toan Do (ACCV (5), 2024)

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 (ASSETS, 2024)

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 (CHI Extended Abstracts, 2024)

Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (ECCV (4), 2024)

DiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition. - Parul Gupta; Tuan Nguyen 004; Abhinav Dhall; Munawar Hayat; Trung Le 001; Thanh-Toan Do (ECCV Workshops (20), 2024)

MetaAug: Meta-data Augmentation for Post-training Quantization. - Cuong Pham 007; Hoang Anh Dung; Cuong C. Nguyen; Trung Le 001; Dinh Phung 001; Gustavo Carneiro 001; Thanh-Toan Do (ECCV (27), 2024)

Learning to Complement and to Defer to Multiple Users. - Zheng Zhang 046; Wenjie Ai; Kevin Wells; David Rosewarne; Thanh-Toan Do; Gustavo Carneiro 001 (ECCV (56), 2024)

An Efficient Lightweight Anomaly Detection for 5G Core Network. - Tran Quang Vinh; Dinh Viet Quan; Thanh-Toan Do; Le Quoc Trung; Truong Thu Huong (ICCE, 2024)

Sharpness-Aware Data Generation for Zero-shot Quantization. - Hoang Anh Dung; Cuong Pham 007; Trung Le 001; Jianfei Cai 001; Thanh-Toan Do (ICML, 2024)

Frequency Attention for Knowledge Distillation. - Cuong Pham 007; Van-Anh Nguyen; Trung Le 001; Dinh Q. Phung; Gustavo Carneiro 001; Thanh-Toan Do (WACV, 2024)

The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation. - 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 002 (IEEE Access, 2024)

Agnostic Sharpness-Aware Minimization. - Van-Anh Nguyen; Quyen Tran; Tuan Truong; Thanh-Toan Do; Dinh Quoc Phung; Trung Le 001 (CoRR, 2024)

PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval. - Tuan-Luc Huynh; Thuy-Trang Vu; Weiqing Wang 001; Yinwei Wei; Trung Le 001; Dragan Gasevic; Yuan-Fang Li; Thanh-Toan Do (CoRR, 2024)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. - Cuong Pham 007; Cuong C. Nguyen; Trung Le 001; Dinh Q. Phung; Gustavo Carneiro 001; Thanh-Toan Do (CoRR, 2024)

Connective Viewpoints of Signal-to-Noise Diffusion Models. - Khanh Doan; Long Tung Vuong; Tuan Nguyen 004; Anh Tuan Bui; Quyen Tran; Thanh-Toan Do; Dinh Phung 001; Trung Le 001 (CoRR, 2024)

Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging. - Milad Masroor; Tahir Hassan; Yu Tian 001; Kevin Wells; David Rosewarne; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2024)

Coverage-Constrained Human-AI Cooperation with Multiple Experts. - Zheng Zhang 046; Cuong Nguyen 006; Kevin Wells; Thanh-Toan Do; David Rosewarne; Gustavo Carneiro 001 (CoRR, 2024)

Robotic Perception of Transparent Objects: A Review. - Jiaqi Jiang; Guanqun Cao; Jiankang Deng; Thanh-Toan Do; Shan Luo 001 (IEEE Trans. Artif. Intell., 2024)

Enhancing Dataset Distillation via Non-Critical Region Refinement. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Thanh-Toan Do; Dinh Q. Phung (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 001; Dinh Phung 001 (CVPR, 2025)

Self-supervised Learning for Acoustic Few-Shot Classification. - Jingyong Liang; Bernd Meyer 001; Issac Ning Lee; Thanh-Toan Do (ICASSP, 2025)

Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution. - Cuong C. Nguyen; Thanh-Toan Do; Gustavo Carneiro 001 (ICLR, 2025)

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 002 (ICLR, 2025)

CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation. - Minh-Quan Le; Minh-Triet Tran; Trung-Nghia Le; Tam V. Nguyen 002; Thanh-Toan Do (WACV, 2025)

Few-shot object detection via synthetic features with optimal transport. - Anh-Khoa Nguyen Vu; Thanh-Toan Do; Vinh-Tiep Nguyen; Tam Le; Minh-Triet Tran; Tam V. Nguyen 002 (Comput. Vis. Image Underst., 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 001 (Trans. Mach. Learn. Res., 2025)

RoTipBot: Robotic Handling of Thin and Flexible Objects Using Rotatable Tactile Sensors. - Jiaqi Jiang; Xuyang Zhang; Daniel Fernandes Gomes; Thanh-Toan Do; Shan Luo 001 (IEEE Trans. Robotics, 2025)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Yuyuan Liu; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2025)

Why Domain Generalization Fail? A View of Necessity and Sufficiency. - Long Tung Vuong; Vy Vo; Hien Dang 004; Van-Anh Nguyen; Thanh-Toan Do; Mehrtash Harandi; Trung Le 001; Dinh Q. Phung (CoRR, 2025)

Optimizing Specific and Shared Parameters for Efficient Parameter Tuning. - Van-Anh Nguyen; Thanh-Toan Do; Mehrtash Harandi; Dinh Q. Phung; Trung Le 001 (CoRR, 2025)

Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations. - Parul Gupta; Shreya Ghosh 001; Tom Gedeon; Thanh-Toan Do; Abhinav Dhall (CoRR, 2025)

CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing. - Dinh-Khoi Vo; Thanh-Toan Do; Tam Van Nguyen 002; Minh-Triet Tran; Trung-Nghia Le (CoRR, 2025)

ShowFlow: From Robust Single Concept to Condition-Free Multi-Concept Generation. - Trong-Vu Hoang; Quang-Binh Nguyen; Thanh-Toan Do; Tam V. Nguyen 002; Minh-Triet Tran; Trung-Nghia Le (CoRR, 2025)

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; Nicholas Seow Chiang Price; Arthur James Lowery; Kim Marriott (CoRR, 2025)

MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora. - Tuan-Luc Huynh; Thuy-Trang Vu; Weiqing Wang 001; Trung Le 001; Dragan Gasevic; Yuan-Fang Li; Thanh-Toan Do (CoRR, 2025)

Improving Personalized Image Generation through Social Context Feedback. - Parul Gupta; Abhinav Dhall; Thanh-Toan Do (CoRR, 2025)