Duc Thanh Nguyen

Orcid: 0000-0002-2285-2066

According to our database1, Duc Thanh Nguyen authored at least 65 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
SAWIT: A small-sized animal wild image dataset with annotations.
Multim. Tools Appl., March, 2024

Deep cross-domain transfer for emotion recognition via joint learning.
Multim. Tools Appl., 2024

Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention.
CoRR, 2024

2023
Meta-transfer learning for emotion recognition.
Neural Comput. Appl., May, 2023

Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation.
CoRR, 2023

An empirical study of automatic wildlife detection using drone thermal imaging and object detection.
CoRR, 2023

MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images.
CoRR, 2023

Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates.
CoRR, 2023

PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Causal Inference via Style Transfer for Out-of-distribution Generalisation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition.
IEEE Trans. Multim., 2022

Deep learning for deepfakes creation and detection: A survey.
Comput. Vis. Image Underst., 2022

Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation.
CoRR, 2022

RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Scene Decoration from a Single Photograph.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A graph-based approach for population health analysis using Geo-tagged tweets.
Multim. Tools Appl., 2021

Minimal Adversarial Examples for Deep Learning on 3D Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices.
Future Gener. Comput. Syst., 2020

Meta Transfer Learning for Emotion Recognition.
CoRR, 2020

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition.
CoRR, 2020

On Vietnamese Sentiment Analysis: A Transfer Learning Method.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

MrPC: Causal Structure Learning in Distributed Systems.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information.
Proceedings of the Computer Vision - ECCV 2020, 2020

LCD: Learned Cross-Domain Descriptors for 2D-3D Matching.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An empirical study on prediction of population health through social media.
J. Biomed. Informatics, 2019

Deep Learning for Deepfakes Creation and Detection.
CoRR, 2019

Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Creating and understanding 3D annotated scene meshes.
Proceedings of the SIGGRAPH Asia 2019 Courses, 2019

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Estimating County Health Indices Using Graph Neural Networks.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2018
A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation.
IEEE Trans. Vis. Comput. Graph., 2018

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

Real-time Progressive 3D Semantic Segmentation for Indoor Scene.
CoRR, 2018

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data.
Proceedings of the Computer Vision - ECCV 2018, 2018


2017
Kernel-based features for predicting population health indices from geocoded social media data.
Decis. Support Syst., 2017

Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017


2016
Human detection from images and videos: A survey.
Pattern Recognit., 2016

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

A Field Model for Repairing 3D Shapes.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

SceneNN: A Scene Meshes Dataset with aNNotations.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
An MRF-Poselets Model for Detecting Highly Articulated Humans.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Food image classification using local appearance and global structural information.
Neurocomputing, 2014

Discriminative Key Pose Extraction Using Extended LC-KSVD for Action Recognition.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

A Novel Chamfer Template Matching Method Using Variational Mean Field.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A novel shape-based non-redundant local binary pattern descriptor for object detection.
Pattern Recognit., 2013

Inter-occlusion reasoning for human detection based on variational mean field.
Neurocomputing, 2013

2011
Smoke detection in videos using Non-Redundant Local Binary Pattern-based features.
Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011

Human detection with contour-based local motion binary patterns.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Detecting humans under occlusion using variational mean field method.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
On the Combination of Local Texture and Global Structure for Food Classification.
Proceedings of the 12th IEEE International Symposium on Multimedia, 2010

Object detection using Non-Redundant Local Binary Patterns.
Proceedings of the International Conference on Image Processing, 2010

Human detection using local shape and Non-Redundant binary patterns.
Proceedings of the 11th International Conference on Control, 2010

2009
Human detection based on weighted template matching.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

A novel template matching method for human detection.
Proceedings of the International Conference on Image Processing, 2009

An Improved Template Matching Method for Object Detection.
Proceedings of the Computer Vision, 2009

2008
A rotation method for binary document images using DDA algorithm.
Proceedings of the 2008 ACM Symposium on Document Engineering, 2008

2007
Solving Timetabling Problem Using Genetic and Heuristic Algorithms.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

A Robust Document Skew Estimation Algorithm Using Mathematical Morphology.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

An Application of Genetic Algorithm for Weekly Course Timetabling Problem.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007


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