Thanh-Toan Do

Orcid: 0000-0002-6249-0848

According to our database1, Thanh-Toan Do authored at least 112 papers between 2010 and 2024.

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Bibliography

2024
DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition.
CoRR, 2024

Frequency Attention for Knowledge Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

An Efficient Lightweight Anomaly Detection for 5G Core Network.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation.
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.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Instance-Level Few-Shot Learning With Class Hierarchy Mining.
IEEE Trans. Image Process., 2023

PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Unveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation.
CoRR, 2023

Few-Shot Object Detection via Synthetic Features with Optimal Transport.
CoRR, 2023

Noisy-label Learning with Sample Selection based on Noise Rate Estimate.
CoRR, 2023

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

Robotic Perception of Transparent Objects: A Review.
CoRR, 2023

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels.
CoRR, 2023

Flat Seeking Bayesian Neural Networks.
CoRR, 2023

Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach.
CoRR, 2023

Task Weighting in Meta-learning with Trajectory Optimisation.
CoRR, 2023

Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Instance-Dependent Noisy Label Learning via Graphical Modelling.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Flat Seeking Bayesian Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Transport Model Distributional Robustness.
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.
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.
IEEE Trans. Image Process., 2022

A4T: Hierarchical Affordance Detection for Transparent Objects Depth Reconstruction and Manipulation.
IEEE Robotics Autom. Lett., 2022

Big data directed acyclic graph model for real-time COVID-19 twitter stream detection.
Pattern Recognit., 2022

Few-shot object detection via baby learning.
Image Vis. Comput., 2022

Vision Transformer Visualization: What Neurons Tell and How Neurons Behave?
CoRR, 2022

Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping.
CoRR, 2022

Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Deterministic Approximate Methods for Maximum Consensus Robust Fitting.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Visual localization under appearance change: filtering approaches.
Neural Comput. Appl., 2021

Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing.
CoRR, 2021

Camouflaged Instance Segmentation: Dataset and Benchmark Suite.
CoRR, 2021

Similarity of Classification Tasks.
CoRR, 2021

MirrorNet: Bio-Inspired Camouflaged Object Segmentation.
IEEE Access, 2021

Probabilistic task modelling for meta-learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification.
Proceedings of the Rules and Reasoning - 5th International Joint Conference, 2021

2020
Compact Hash Code Learning With Binary Deep Neural Network.
IEEE Trans. Multim., 2020

Unsupervised Deep Cross-modality Spectral Hashing.
IEEE Trans. Image Process., 2020

Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing.
Comput. Vis. Image Underst., 2020

MirrorNet: Bio-Inspired Adversarial Attack for Camouflaged Object Segmentation.
CoRR, 2020

PAC-Bayesian Meta-learning with Implicit Prior.
CoRR, 2020

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks.
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.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval.
ACM Trans. Multim. Comput. Commun. Appl., 2019

On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC.
IEEE Trans. Image Process., 2019

Semantic Prior Analysis for Salient Object Detection.
IEEE Trans. Image Process., 2019

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning.
IEEE Trans. Image Process., 2019

V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation.
CoRR, 2019

SASSE: Scalable and Adaptable 6-DOF Pose Estimation.
CoRR, 2019

Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes.
CoRR, 2019

Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Overcoming Data Limitation in Medical Visual Question Answering.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Bayesian Generative Active Deep Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Object Captioning and Retrieval with Natural Language.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Scalable Place Recognition Under Appearance Change for Autonomous Driving.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Compact Trilinear Interaction for Visual Question Answering.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Visual Localization under Appearance Change: A Filtering Approach.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Real-Time 6DOF Pose Relocalization for Event Cameras With Stacked Spatial LSTM Networks.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis.
IEEE Trans. Multim., 2018

Computation and Memory Efficient Image Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2018

Improving Chamfer Template Matching Using Image Segmentation.
IEEE Signal Process. Lett., 2018

Embedding Based on Function Approximation for Large Scale Image Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Practical Visual Localization for Autonomous Driving: Why Not Filter?
CoRR, 2018

MediaEval 2018: Predicting Media Memorability Task.
CoRR, 2018

G2D: from GTA to Data.
CoRR, 2018

Object Captioning and Retrieval with Natural Language.
CoRR, 2018

Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image.
CoRR, 2018

Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention.
CoRR, 2018

Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing.
CoRR, 2018

On-device Scalable Image-based Localization.
CoRR, 2018

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval.
CoRR, 2018

MediaEval 2018: Predicting Media Memorability.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Supervised Hashing with End-to-End Binary Deep Neural Network.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Bayesian Semantic Instance Segmentation in Open Set World.
Proceedings of the Computer Vision - ECCV 2018, 2018

DeepVQ: A Deep Network Architecture for Vector Quantization.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Non-smooth M-estimator for Maximum Consensus Estimation.
Proceedings of the British Machine Vision Conference 2018, 2018

LieNet: Real-time Monocular Object Instance 6D Pose Estimation.
Proceedings of the British Machine Vision Conference 2018, 2018

A Binary Optimization Approach for Constrained K-Means Clustering.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Compact Hash Code Learning with Binary Deep Neural Network.
CoRR, 2017

Accessible Melanoma Detection using Smartphones and Mobile Image Analysis.
CoRR, 2017

AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection.
CoRR, 2017

Real-Time Pose Estimation for Event Cameras with Stacked Spatial LSTM Networks.
CoRR, 2017

Enhance Feature Discrimination for Unsupervised Hashing.
CoRR, 2017

Selective Deep Convolutional Features for Image Retrieval.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

MediaEval 2017 Predicting Media Interestingness Task.
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.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Predicting Interestingness of Visual Content.
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.
IEEE Signal Process. Mag., 2016

MediaEval 2016 Predicting Media Interestingness Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2016 Workshop, 2016

Image-based vehicle analysis using deep neural network: A systematic study.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Binary Hashing with Semidefinite Relaxation and Augmented Lagrangian.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learning to Hash with Binary Deep Neural Network.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Discrete Hashing with Deep Neural Network.
CoRR, 2015

FAemb: A function approximation-based embedding method for image retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Early melanoma diagnosis with mobile imaging.
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.
PhD thesis, 2012

Security-oriented picture-in-picture visual modifications.
Proceedings of the International Conference on Multimedia Retrieval, 2012

Enlarging hacker's toolbox: Deluding image recognition by attacking keypoint orientations.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Face recognition using Co-occurrence Histograms of Oriented Gradients.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010
Challenging the security of Content-Based Image Retrieval systems.
Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010

Deluding image recognition in sift-based cbir systems.
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, 2010

Understanding the security and robustness of SIFT.
Proceedings of the 18th International Conference on Multimedia 2010, 2010


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