Thanh-Toan Do

According to our database, Thanh-Toan Do authored at least 128 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Robotic Perception of Transparent Objects: A Review.

Jiaqi Jiang, Guanqun Cao, Jiankang Deng, Thanh-Toan Do, Shan Luo

IEEE Trans. Artif. Intell., June, 2024

Coverage-Constrained Human-AI Cooperation with Multiple Experts.

Zheng Zhang, Cuong Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro

CoRR, 2024

Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging.

Milad Masroor, Tahir Hassan, Yu Tian, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro

CoRR, 2024

Self-supervised Learning for Acoustic Few-Shot Classification.

Jingyong Liang, Bernd Meyer, Issac Ning Lee, Thanh-Toan Do

CoRR, 2024

Connective Viewpoints of Signal-to-Noise Diffusion Models.

Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le

CoRR, 2024

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning.

Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do

CoRR, 2024

PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval.

Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do

CoRR, 2024

RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors.

Jiaqi Jiang, Xuyang Zhang, Daniel Fernandes Gomes, Thanh-Toan Do, Shan Luo

CoRR, 2024

Agnostic Sharpness-Aware Minimization.

Van-Anh Nguyen, Quyen Tran, Tuan Truong, Thanh-Toan Do, Dinh Quoc Phung, Trung Le

CoRR, 2024

DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition.

Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do

CoRR, 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

IEEE Access, 2024

Frequency Attention for Knowledge Distillation.

Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Sharpness-Aware Data Generation for Zero-shot Quantization.

Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Learning to Complement and to Defer to Multiple Users.

Zheng Zhang, Wenjie Ai, Kevin Wells, David Rosewarne, Thanh-Toan Do, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 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

Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 2024

Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models.

Parul Gupta, Munawar Hayat, Abhinav Dhall, Thanh-Toan Do

Proceedings of the Computer Vision - ACCV 2024, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing.

Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Task Weighting in Meta-learning with Trajectory Optimisation.

Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro

Trans. Mach. Learn. Res., 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

IEEE Trans. Image Process., 2023

PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors.

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

IEEE Trans. Pattern Anal. Mach. Intell., 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, Thanh-Toan Do

CoRR, 2023

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

CoRR, 2023

Noisy-label Learning with Sample Selection based on Noise Rate Estimate.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

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

CoRR, 2023

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

CoRR, 2023

Flat Seeking Bayesian Neural Networks.

Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le

CoRR, 2023

Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach.

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

CoRR, 2023

Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks.

Cuong Pham, Tuan Hoang, Thanh-Toan Do

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Instance-Dependent Noisy Label Learning via Graphical Modelling.

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning.

Van Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Flat Seeking Bayesian Neural Networks.

Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Transport Model Distributional Robustness.

Van-Anh Nguyen, Trung Le, Anh Tuan Bui, Thanh-Toan Do, Dinh Q. Phung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 2023

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

IEEE Trans. Image Process., 2022

A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation.

Jiaqi Jiang, Guanqun Cao, Thanh-Toan Do, Shan Luo

IEEE Robotics Autom. Lett., 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

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

Image Vis. Comput., 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

CoRR, 2022

Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping.

Jiaqi Jiang, Guanqun Cao, Aaron Butterworth, Thanh-Toan Do, Shan Luo

CoRR, 2022

Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract).

Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Visual localization under appearance change: filtering approaches.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid

Neural Comput. Appl., 2021

Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing.

Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

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

CoRR, 2021

Similarity of Classification Tasks.

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

CoRR, 2021

MirrorNet: Bio-Inspired Camouflaged Object Segmentation.

Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen

IEEE Access, 2021

Probabilistic task modelling for meta-learning.

Cuong Cao Nguyen, Thanh-Toan Do, Gustavo Carneiro

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification.

Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo

Proceedings of the Rules and Reasoning - 5th International Joint Conference, 2021

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

Unsupervised Deep Cross-modality Spectral Hashing.

Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

IEEE Trans. Image Process., 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

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

CoRR, 2020

PAC-Bayesian Meta-learning with Implicit Prior.

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

CoRR, 2020

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference.

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval.

Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung, Michael Riegler, Jan Zahálka

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking.

Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks.

Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

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

Proceedings of the 31st British Machine Vision Conference 2020, 2020

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, Ngai-Man Cheung

ACM Trans. Multim. Comput. Commun. Appl., 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

Semantic Prior Analysis for Salient Object Detection.

Tam V. Nguyen, Khanh-Duy Nguyen, Thanh-Toan Do

IEEE Trans. Image Process., 2019

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning.

Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung

IEEE Trans. Image Process., 2019

V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation.

Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis

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

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes.

Yu Liu, Lingqiao Liu, Seyed Hamid Rezatofighi, Thanh-Toan Do, Qinfeng Shi, Ian D. Reid

CoRR, 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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Bayesian Generative Active Deep Learning.

Toan Tran, Thanh-Toan Do, Ian D. Reid, Gustavo Carneiro

Proceedings of the 36th International Conference on Machine Learning, 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Compact Trilinear Interaction for Visual Question Answering.

Tuong Do, Huy Tran, Thanh-Toan Do, Erman Tjiputra, Quang D. Tran

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences.

Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis.

Thanh-Toan Do, Tuan Hoang, Victor Pomponiu, Yiren Zhou, Zhao Chen, Ngai-Man Cheung, Dawn Chin-Ing Koh, Aaron Tan, Suat-Hoon Tan

IEEE Trans. Multim., 2018

Computation and Memory Efficient Image Segmentation.

Yiren Zhou, Thanh-Toan Do, Haitian Zheng, Ngai-Man Cheung, Lu Fang

IEEE Trans. Circuits Syst. Video Technol., 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

Embedding Based on Function Approximation for Large Scale Image Search.

Thanh-Toan Do, Ngai-Man Cheung

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Practical Visual Localization for Autonomous Driving: Why Not Filter?

Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid

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

G2D: from GTA to Data.

Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin

CoRR, 2018

Object Captioning and Retrieval with Natural Language.

Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis

CoRR, 2018

Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image.

Thanh-Toan Do, Ming Cai, Trung Pham, Ian D. Reid

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

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

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

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

MediaEval 2018: Predicting Media Memorability.

Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes.

Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection.

Thanh-Toan Do, Anh Nguyen, Ian D. Reid

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Supervised Hashing with End-to-End Binary Deep Neural Network.

Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Bayesian Semantic Instance Segmentation in Open Set World.

Trung Pham, B. G. Vijay Kumar, Thanh-Toan Do, Gustavo Carneiro, Ian D. Reid

Proceedings of the Computer Vision - ECCV 2018, 2018

DeepVQ: A Deep Network Architecture for Vector Quantization.

Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Non-smooth M-estimator for Maximum Consensus Estimation.

Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter

Proceedings of the British Machine Vision Conference 2018, 2018

LieNet: Real-time Monocular Object Instance 6D Pose Estimation.

Thanh-Toan Do, Trung Pham, Ming Cai, Ian Reid

Proceedings of the British Machine Vision Conference 2018, 2018

A Binary Optimization Approach for Constrained K-Means Clustering.

Huu M. Le, Anders P. Eriksson, Thanh-Toan Do, Michael Milford

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Compact Hash Code Learning with Binary Deep Neural Network.

Thanh-Toan Do, Dang-Khoa Le Tan, Tuan Hoang, Ngai-Man Cheung

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

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection.

Thanh-Toan Do, Anh Nguyen, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis

CoRR, 2017

Real-Time Pose Estimation for Event Cameras with Stacked Spatial LSTM Networks.

Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell, Nikos G. Tsagarakis

CoRR, 2017

Enhance Feature Discrimination for Unsupervised Hashing.

Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung

CoRR, 2017

Selective Deep Convolutional Features for Image Retrieval.

Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung

Proceedings of the 2017 ACM on Multimedia Conference, 2017

MediaEval 2017 Predicting Media Interestingness Task.

Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Michael Gygli, Ngoc Q. K. Duong

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Enhancing feature discrimination for unsupervised hashing.

Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search.

Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham, Ngai-Man Cheung

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Predicting Interestingness of Visual Content.

Claire-Hélène Demarty, Mats Sjöberg, Mihai Gabriel Constantin, Ngoc Q. K. Duong, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang

Proceedings of the Visual Content Indexing and Retrieval with Psycho-Visual Models, 2017

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

MediaEval 2016 Predicting Media Interestingness Task.

Claire-Hélène Demarty, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang, Ngoc Q. K. Duong, Frédéric Lefèbvre

Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

Image-based vehicle analysis using deep neural network: A systematic study.

Yiren Zhou, Hossein Nejati, Thanh-Toan Do, Ngai-Man Cheung, Lynette Cheah

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian.

Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, Ngai-Man Cheung

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning to Hash with Binary Deep Neural Network.

Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Discrete Hashing with Deep Neural Network.

Thanh-Toan Do, Anh-Zung Doan, Ngai-Man Cheung

CoRR, 2015

FAemb: A function approximation-based embedding method for image retrieval.

Thanh-Toan Do, Quang D. Tran, Ngai-Man Cheung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Early melanoma diagnosis with mobile imaging.

Thanh-Toan Do, Yiren Zhou, Haitian Zheng, Ngai-Man Cheung, Dawn Chin-Ing Koh

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

Security analysis of image copy detection systems based on SIFT descriptors.

Thanh-Toan Do

PhD thesis, 2012

Security-oriented picture-in-picture visual modifications.

Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon

Proceedings of the International Conference on Multimedia Retrieval, 2012

Enlarging hacker's toolbox: Deluding image recognition by attacking keypoint orientations.

Thanh-Toan Do, Ewa Kijak, Laurent Amsaleg, Teddy Furon

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Face recognition using Co-occurrence Histograms of Oriented Gradients.

Thanh-Toan Do, Ewa Kijak

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010

Challenging the security of Content-Based Image Retrieval systems.

Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg

Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010

Deluding image recognition in sift-based cbir systems.

Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg

Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, 2010

Understanding the security and robustness of SIFT.

Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Amsaleg

Proceedings of the 18th International Conference on Multimedia 2010, 2010