An Application of Genetic Algorithm for Weekly Course Timetabling Problem. - Duc Thanh Nguyen; Cam Thi Nguyen; Tham Luong Thi; Thanh Loan Nguyen Thi; Kim Loan Tran Thi (IC-AI, 2007)

A Robust Document Skew Estimation Algorithm Using Mathematical Morphology. - Duc Thanh Nguyen; Dai Binh Vo; Tu Mi Nguyen; Thuy Giang Nguyen (ICTAI (1), 2007)

Solving Timetabling Problem Using Genetic and Heuristic Algorithms. - Duc Thanh Nguyen (SNPD (3), 2007)

A rotation method for binary document images using DDA algorithm. - Duc Thanh Nguyen (ACM Symposium on Document Engineering, 2008)

An Improved Template Matching Method for Object Detection. - Duc Thanh Nguyen; Wanqing Li 001; Philip Ogunbona (ACCV (3), 2009)

A novel template matching method for human detection. - Duc Thanh Nguyen; Wanqing Li 001; Philip Ogunbona (ICIP, 2009)

Human detection based on weighted template matching. - Duc Thanh Nguyen; Philip Ogunbona; Wanqing Li 001 (ICME, 2009)

Human detection using local shape and Non-Redundant binary patterns. - Duc Thanh Nguyen; Wanqing Li 001; Philip Ogunbona (ICARCV, 2010)

Object detection using Non-Redundant Local Binary Patterns. - Duc Thanh Nguyen; Zhimin Zong; Philip Ogunbona; Wanqing Li 001 (ICIP, 2010)

On the Combination of Local Texture and Global Structure for Food Classification. - Zhimin Zong; Duc Thanh Nguyen; Philip Ogunbona; Wanqing Li 001 (ISM, 2010)

Detecting humans under occlusion using variational mean field method. - Duc Thanh Nguyen; Philip Ogunbona; Wanqing Li 001 (ICIP, 2011)

Human detection with contour-based local motion binary patterns. - Duc Thanh Nguyen; Philip Ogunbona; Wanqing Li 001 (ICIP, 2011)

Smoke detection in videos using Non-Redundant Local Binary Pattern-based features. - Hongda Tian; Wanqing Li 001; Philip Ogunbona; Duc Thanh Nguyen; Ce Zhan (MMSP, 2011)

Inter-occlusion reasoning for human detection based on variational mean field. - Duc Thanh Nguyen; Wanqing Li 001; Philip Ogunbona (Neurocomputing, 2013)

A novel shape-based non-redundant local binary pattern descriptor for object detection. - Duc Thanh Nguyen; Philip Ogunbona; Wanqing Li 001 (Pattern Recognit., 2013)

A Novel Chamfer Template Matching Method Using Variational Mean Field. - Duc Thanh Nguyen (CVPR, 2014)

Discriminative Key Pose Extraction Using Extended LC-KSVD for Action Recognition. - Lijuan Zhou; Wanqing Li 001; Yuyao Zhang; Philip Ogunbona; Duc Thanh Nguyen; Hanling Zhang (DICTA, 2014)

Food image classification using local appearance and global structural information. - Duc Thanh Nguyen; Zhimin Zong; Philip Ogunbona; Yasmine C. Probst; Wanqing Li 001 (Neurocomputing, 2014)

An MRF-Poselets Model for Detecting Highly Articulated Humans. - Duc Thanh Nguyen; Minh-Khoi Tran; Sai-Kit Yeung (ICCV, 2015)

SceneNN: A Scene Meshes Dataset with aNNotations. - Binh-Son Hua; Quang-Hieu Pham; Duc Thanh Nguyen; Minh-Khoi Tran; Lap-Fai Yu; Sai-Kit Yeung (3DV, 2016)

A Field Model for Repairing 3D Shapes. - Duc Thanh Nguyen; Binh-Son Hua; Minh-Khoi Tran; Quang-Hieu Pham; Sai-Kit Yeung (CVPR, 2016)

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

Human detection from images and videos: A survey. - Duc Thanh Nguyen; Wanqing Li 001; Philip O. Ogunbona (Pattern Recognit., 2016)

RGB-D to CAD Retrieval with ObjectNN Dataset. - Binh-Son Hua; Quang-Trung Truong; Minh-Khoi Tran; Quang-Hieu Pham; Asako Kanezaki; Tang Lee; HungYueh Chiang; Winston H. Hsu; Bo Li 013; Yijuan Lu; Henry Johan; Shoki Tashiro; et al. (3DOR@Eurographics, 2017)

Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features. - Thin Nguyen; Duc Thanh Nguyen; Mark E. Larsen; Bridianne O'Dea; John Yearwood; Dinh Q. Phung; Svetha Venkatesh; Helen Christensen (WWW (Companion Volume), 2017)

Kernel-based features for predicting population health indices from geocoded social media data. - Thin Nguyen; Mark E. Larsen; Bridianne O'Dea; Duc Thanh Nguyen; John Yearwood; Dinh Q. Phung; Svetha Venkatesh; Helen Christensen (Decis. Support Syst., 2017)

RGB-D Object-to-CAD Retrieval. - Quang-Hieu Pham; Minh-Khoi Tran; Wenhui Li 001; Shu Xiang; Heyu Zhou; Weizhi Nie; Anan Liu; Yuting Su 001; Minh-Triet Tran; Ngoc-Minh Bui; Trong-Le Do; Tu V. Ninh; et al. (3DOR@Eurographics, 2018)

Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data. - Tian Feng 001; Quang-Trung Truong; Duc Thanh Nguyen; Jing Yu Koh; Lap-Fai Yu; Alexander Binder; Sai-Kit Yeung (ECCV (8), 2018)

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. - Hung Nguyen; Van Nguyen 002; Thin Nguyen; Mark E. Larsen; Bridianne O'Dea; Duc Thanh Nguyen; Trung Le 001; Dinh Q. Phung; Svetha Venkatesh; Helen Christensen (WISE (2), 2018)

Real-time Progressive 3D Semantic Segmentation for Indoor Scene. - Quang-Hieu Pham; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (CoRR, 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)

A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation. - Duc Thanh Nguyen; Binh-Son Hua; Lap-Fai Yu; Sai-Kit Yeung (IEEE Trans. Vis. Comput. Graph., 2018)

SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. - Hung Nguyen; Duc Thanh Nguyen; Thin Nguyen (AusDM, 2019)

Estimating County Health Indices Using Graph Neural Networks. - Hung Nguyen; Duc Thanh Nguyen; Thin Nguyen (AusDM, 2019)

JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. - Quang-Hieu Pham; Duc Thanh Nguyen; Binh-Son Hua; Gemma Roig; Sai-Kit Yeung (CVPR, 2019)

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data. - Mikaela Angelina Uy; Quang-Hieu Pham; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (ICCV, 2019)

Creating and understanding 3D annotated scene meshes. - Duc Thanh Nguyen; Quang-Hieu Pham; Binh-Son Hua (SIGGRAPH Asia, 2019)

Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes. - Quang-Hieu Pham; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (WACV, 2019)

Deep Learning for Deepfakes Creation and Detection. - Thanh Thi Nguyen 001; Cuong M. Nguyen; Dung Tien Nguyen; Duc Thanh Nguyen; Saeid Nahavandi (CoRR, 2019)

An empirical study on prediction of population health through social media. - Hung Nguyen; Thin Nguyen; Duc Thanh Nguyen (J. Biomed. Informatics, 2019)

LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. - Quang-Hieu Pham; Mikaela Angelina Uy; Binh-Son Hua; Duc Thanh Nguyen; Gemma Roig; Sai-Kit Yeung (AAAI, 2020)

SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. - Jing Yu Koh; Duc Thanh Nguyen; Quang-Trung Truong; Sai-Kit Yeung; Alexander Binder (ECCV (24), 2020)

MrPC: Causal Structure Learning in Distributed Systems. - Thin Nguyen; Duc Thanh Nguyen; Thuc Duy Le; Svetha Venkatesh (ICONIP (4), 2020)

On Vietnamese Sentiment Analysis: A Transfer Learning Method. - Ngoc C. Lê; Nguyen The Lam; Son Hong Nguyen; Duc Thanh Nguyen (RIVF, 2020)

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition. - Dung Nguyen 001; Sridha Sridharan; Duc Thanh Nguyen; Simon Denman; Son N. Tran; Rui Zeng; Clinton Fookes (CoRR, 2020)

Meta Transfer Learning for Emotion Recognition. - Dung Nguyen 001; Sridha Sridharan; Duc Thanh Nguyen; Simon Denman; David Dean; Clinton Fookes (CoRR, 2020)

Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. - Thin Nguyen; Mark E. Larsen; Bridianne O'Dea; Hung Nguyen; Duc Thanh Nguyen; John Yearwood; Dinh Quoc Phung; Svetha Venkatesh; Helen Christensen (Future Gener. Comput. Syst., 2020)

Minimal Adversarial Examples for Deep Learning on 3D Point Clouds. - Jaeyeon Kim; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (ICCV, 2021)

A graph-based approach for population health analysis using Geo-tagged tweets. - Hung Nguyen; Thin Nguyen; Duc Thanh Nguyen (Multim. Tools Appl., 2021)

Neural Scene Decoration from a Single Photograph. - Hong-Wing Pang; Yingshu Chen; Phuoc-Hieu Le; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (ECCV (23), 2022)

RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds. - Tuan-Anh Vu; Duc Thanh Nguyen; Binh-Son Hua; Quang-Hieu Pham; Sai-Kit Yeung (ECCV (23), 2022)

Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. - Toan Nguyen 004; Kien Do; Duc Thanh Nguyen; Bao Duong; Thin Nguyen (CoRR, 2022)

Deep learning for deepfakes creation and detection: A survey. - Thanh Nguyen 004; Quoc Viet Hung Nguyen; Dung Tien Nguyen; Duc Thanh Nguyen; Thien Huynh-The; Saeid Nahavandi; Thanh Tam Nguyen; Quoc-Viet Pham; Cuong M. Nguyen (Comput. Vis. Image Underst., 2022)

Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. - Dung Nguyen 001; Duc Thanh Nguyen; Rui Zeng; Thanh Thi Nguyen 001; Son N. Tran; Thin Nguyen; Sridha Sridharan; Clinton Fookes (IEEE Trans. Multim., 2022)

Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration. - Ka-Chun Shum; Hong-Wing Pang; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (ICCV, 2023)

Causal Inference via Style Transfer for Out-of-distribution Generalisation. - Toan Nguyen 004; Kien Do; Duc Thanh Nguyen; Bao Duong; Thin Nguyen (KDD, 2023)

PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape Priors. - Jaeyeon Kim; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (WACV, 2023)

MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images. - Huyen Tran; Duc Thanh Nguyen; John Yearwood (CoRR, 2023)

An empirical study of automatic wildlife detection using drone thermal imaging and object detection. - Miao Chang; Tan Vuong; Manas Palaparthi; Lachlan Howell; Alessio Bonti; Mohamed Abdelrazek 001; Duc Thanh Nguyen (CoRR, 2023)

Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation. - Tuan-Anh Vu; Duc Thanh Nguyen; Qing Guo 005; Binh-Son Hua; Nhat Minh Chung; Ivor W. Tsang; Sai-Kit Yeung (CoRR, 2023)

Meta-transfer learning for emotion recognition. - Dung Nguyen 001; Duc Thanh Nguyen; Sridha Sridharan; Simon Denman; Thanh Nguyen 004; David Dean; Clinton Fookes (Neural Comput. Appl., 2023)

Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates. - Ka-Chun Shum; Jaeyeon Kim; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (CVPR, 2024)

Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention. - Quang-Trung Truong; Duc Thanh Nguyen; Binh-Son Hua; Sai-Kit Yeung (CoRR, 2024)

Deep cross-domain transfer for emotion recognition via joint learning. - Dung Nguyen 001; Duc Thanh Nguyen; Sridha Sridharan; Mohamed Abdelrazek 001; Simon Denman; Son N. Tran; Rui Zeng; Clinton Fookes (Multim. Tools Appl., 2024)

SAWIT: A small-sized animal wild image dataset with annotations. - Thi Thu Thuy Nguyen; Anne C. Eichholtzer; Don A. Driscoll; Nathan I. Semianiw; Dean M. Corva; Abbas Z. Kouzani; Thanh Thi Nguyen 001; Duc Thanh Nguyen (Multim. Tools Appl., 2024)

Color Alignment in Diffusion. - Ka-Chun Shum; Binh-Son Hua; Duc Thanh Nguyen; Sai-Kit Yeung (CVPR, 2025)

AUTV: Creating Underwater Video Datasets with Pixel-wise Annotations. - Quang-Trung Truong; Yuk-Kwan Wong; Duc Thanh Nguyen; Binh-Son Hua; Sai-Kit Yeung (CoRR, 2025)

An empirical study of automatic wildlife detection using drone-derived imagery and object detection. - Tan Vuong; Miao Chang; Manas Palaparthi; Lachlan Howell; Alessio Bonti; Mohamed Abdelrazek 001; Duc Thanh Nguyen (Multim. Tools Appl., 2025)

A model-agnostic active learning approach for animal detection from camera traps. - Thi Thu Thuy Nguyen; Duc Thanh Nguyen (CoRR, 2025)