Thanh-Toan Do

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 143

Top Venues

CoRR

IEEE Trans. Image Process.

WACV

CVPR

University of Rennes 1, France (PHD)

Education History

University of Rennes 1, France

PHD

Publications

Tran Quang Vinh, Dinh Viet Quan, Thanh-Toan Do, Le Quoc Trung, Truong Thu Huong
An Efficient Lightweight Anomaly Detection for 5G Core Network. ICCE (2024)
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 12 (2024)
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. CoRR (2024)
Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo
Robotic Perception of Transparent Objects: A Review. IEEE Trans. Artif. Intell. 5 (6) (2024)
Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro
Learning to Complement and to Defer to Multiple Users. CoRR (2024)
Parul Gupta, Munawar Hayat, Abhinav Dhall, Thanh-Toan Do
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models. CoRR (2024)
Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Frequency Attention for Knowledge Distillation. WACV (2024)
Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Seow Chiang Price, Arthur James Lowery, Kim Marriott
Broadening Our View: Assistive Technology for Cerebral Visual Impairment. CHI Extended Abstracts (2024)
Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR (2024)
Jiaqi Jiang, Xuyang Zhang, Daniel Fernandes Gomes, Thanh-Toan Do, Shan Luo
RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors. CoRR (2024)
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)
Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do
DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition. CoRR (2024)
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 Instance-wise Incremental Learning for Document Retrieval. CoRR (2024)
Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
Frequency Attention for Knowledge Distillation. CoRR (2024)
Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le
Agnostic Sharpness-Aware Minimization. CoRR (2024)
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
Task Weighting in Meta-learning with Trajectory Optimisation. CoRR (2023)
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung
Optimal Transport Model Distributional Robustness. CoRR (2023)
Bhanuka Gamage, Thanh-Toan Do, Nicholas Seow Chiang 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. ASSETS (2023)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Task Weighting in Meta-learning with Trajectory Optimisation. Trans. Mach. Learn. Res. 2023 (2023)
Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do
Unveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation. CoRR (2023)
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 Trans. Image Process. 32 (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV (2023)
Cuong Pham, Tuan Hoang, Thanh-Toan Do
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. WACV (2023)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Noisy-label Learning with Sample Selection based on Noise Rate Estimate. CoRR (2023)
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. CoRR (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR (2023)
Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung
Optimal Transport Model Distributional Robustness. NeurIPS (2023)
Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
Flat Seeking Bayesian Neural Networks. NeurIPS (2023)
Van 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)
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. CoRR (2023)
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. CoRR (2023)
Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach. CoRR (2023)
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
Few-shot Camouflaged Animal Detection and Segmentation. CoRR (2023)
Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo
Robotic Perception of Transparent Objects: A Review. CoRR (2023)
Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
Flat Seeking Bayesian Neural Networks. CoRR (2023)
Cuong Pham, Tuan Hoang, Thanh-Toan Do
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. CoRR (2022)
Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Minh-Quan Le, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
Camouflaged Instance Segmentation In-the-Wild: Dataset, Method, and Benchmark Suite. IEEE Trans. Image Process. 31 (2022)
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 Vis. Comput. 120 (2022)
Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong, Thanh-Toan Do, Quan Hung Tran, Dinh Q. Phung, Trung Le
Vision Transformer Visualization: What Neurons Tell and How Neurons Behave? CoRR (2022)
Bakhtiar Amen, Syahirul Faiz, Thanh-Toan Do
Big data directed acyclic graph model for real-time COVID-19 twitter stream detection. Pattern Recognit. 123 (2022)
Jiaqi Jiang, Guanqun Cao, Aaron Butterworth, Thanh-Toan Do, Shan Luo
Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping. CoRR (2022)
Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo
A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo
A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation. CoRR (2022)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR (2022)
Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract). IJCAI (2022)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Probabilistic task modelling for meta-learning. CoRR (2021)
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 Comput. Appl. 33 (13) (2021)
Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
Camouflaged Instance Segmentation: Dataset and Benchmark Suite. CoRR (2021)
Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. CoRR (2021)
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. CoRR (2021)
Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification. RuleML+RR (2021)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Probabilistic task modelling for meta-learning. UAI (2021)
Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
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 9 (2021)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Similarity of Classification Tasks. CoRR (2021)
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. CoRR (2020)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan, Ngai-Man Cheung
Compact Hash Code Learning With Binary Deep Neural Network. IEEE Trans. Multim. 22 (4) (2020)
Tuan Hoang, Thanh-Toan Do, Huu Le, Dang-Khoa Le Tan, Ngai-Man Cheung
Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. Comput. Vis. Image Underst. 191 (2020)
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)
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. BMVC (2020)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. WACV (2020)
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. ECCV Workshops (2) (2020)
Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. CoRR (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Unsupervised Deep Cross-modality Spectral Hashing. CoRR (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Unsupervised Deep Cross-modality Spectral Hashing. IEEE Trans. Image Process. 29 (2020)
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. CoRR (2020)
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. CoRR (2020)
Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka
Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. ACM Multimedia (2020)
Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen
MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation. CoRR (2020)
Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. IJCNN (2020)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
PAC-Bayesian Meta-learning with Implicit Prior. CoRR (2020)
Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
Bayesian Generative Active Deep Learning. CoRR (2019)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Trung Pham, Huu Le, Ngai-Man Cheung, Ian D. Reid
Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. WACV (2019)
Tuong Do, Thanh-Toan Do, Huy Tran, Erman Tjiputra, Quang D. Tran
Compact Trilinear Interaction for Visual Question Answering. CoRR (2019)
Tuong Do, Huy Tran, Thanh-Toan Do, Erman Tjiputra, Quang D. Tran
Compact Trilinear Interaction for Visual Question Answering. ICCV (2019)
Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis
Real-Time 6DOF Pose Relocalization for Event Cameras With Stacked Spatial LSTM Networks. CVPR Workshops (2019)
Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. CVPR (2019)
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. Image Process. 28 (4) (2019)
Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. CoRR (2019)
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. CoRR (2019)
Anh Nguyen, Quang D. Tran, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis
Object Captioning and Retrieval with Natural Language. ICCV Workshops (2019)
Huu Le, Tuan Hoang, Qianggong Zhang, Thanh-Toan Do, Anders P. Eriksson, Michael Milford
SASSE: Scalable and Adaptable 6-DOF Pose Estimation. CoRR (2019)
Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences. CoRR (2019)
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. Image Process. 28 (10) (2019)
Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. 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)
Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro
Bayesian Generative Active Deep Learning. ICML (2019)
Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid
Scalable Place Recognition Under Appearance Change for Autonomous Driving. ICCV (2019)
Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran
Overcoming Data Limitation in Medical Visual Question Answering. MICCAI (4) (2019)
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference. CoRR (2019)
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid
Visual Localization under Appearance Change: A Filtering Approach. DICTA (2019)
Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis
V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation. CoRR (2019)
Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes. CoRR (2019)
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15 (2) (2019)
Tam V. Nguyen, Khanh-Duy Nguyen, Thanh-Toan Do
Semantic Prior Analysis for Salient Object Detection. IEEE Trans. Image Process. 28 (6) (2019)
Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran
Overcoming Data Limitation in Medical Visual Question Answering. CoRR (2019)
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid
Scalable Place Recognition Under Appearance Change for Autonomous Driving. CoRR (2019)
Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis
Object Captioning and Retrieval with Natural Language. CoRR (2018)
Thanh-Toan Do, Ngai-Man Cheung
Embedding Based on Function Approximation for Large Scale Image Search. IEEE Trans. Pattern Anal. Mach. Intell. 40 (3) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Thanh-Toan Do