Grants
- ERP 16 - Use of emerging technologies for native wildlife population assessment and management (2022 - 2023) - $545,000
- ERP 22 - Ecosystem resilience – technological advances (2019 - 2021) - $182,700
- A large-scale and fine-grained dataset for detection and recognition of animals in the wild (01/2019 - 12/2019) - $14,000
- Heartrac - Improving heart health and wellbeing (2017 - 2018) - $205,000 (2017), $330,000 (2018)
- A multi-source semantic 3D modelling platform for Virtual Singapore (04/2017 - 12/2018) - $766,000 (SGD)
- Data-driven approaches for 3D modelling in Graphics and Vision (01/2017 - 12/2019) - $502,000 (SGD)
- mHealth for automatic dietary assessment and health analysis (01/2017 - 12/2017) - $5,000
- Comparing methods for volumetric computation for an image recognition algorithm for photography based food record dietary assessment (07/2015 - 12/2015) - $10,000
Publications
Book Chapters
Yasmine Probst, Duc Thanh Nguyen, Megan Rollo, and Wanqing Li. mHealth diet and nutrition guidance, in Mobile Health (mHealth): Multidisciplinary Verticals, Taylor and Francis (CRC Press), 2014
Journal Articles
Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Mohamed Abdelrazek, Simon Denman, Son Tran, Rui Zeng, Clinton Fookes. Deep cross-domain transfer for emotion recognition via joint learning. Multimedia Tools and Applications, 2023
Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Simon Denman, Thanh Thi Nguyen, David Dean, Clinton Fookes. Meta transfer learning for emotion recognition. Neural Computing and Applications, 2023
Dung Nguyen*, Duc Thanh Nguyen*, Rui Zeng, Thanh Thi Nguyen, Son Tran, Thin Khac Nguyen, Sridha Sridharan, and Clinton Fookes. Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition. IEEE Transactions on Multimedia, Vol. 24, 2022 (*: Equal contribution)
Thanh Nguyen, Mohamed Abdelrazek, Dung Nguyen, Sunil Aryal, Duc Thanh Nguyen, Sandeep Reddy, Quoc Nguyen, Amin Khatami, Thanh Tam Nguyen, Edbert Hsu, Samuel Yang. Machine Learning with Applications, Vol. 9, 2022
Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen. A graph-based approach for population health analysis using geo-tagged tweets. Multimedia Tools and Applications, Vol. 80, 2021
Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen. An empirical study on prediction of population health through social media. Journal of Biomedical Informatics, Vol. 99, 2019
Duc Thanh Nguyen, Ngoc Son Vu, Thanh Toan Do, Thin Nguyen, and John Yearwood. Improving Chamfer template matching using image segmentation. IEEE Signal Processing Letters, Vol. 25, No. 11, 2018
Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu, Sai-Kit Yeung. A robust 3D-2D tool for scene segmentation and annotation. IEEE Transactions on Visualization and Computer Graphics (in press), Vol. 24, No. 12, 2018
Thin Nguyen, Hung Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Phung, Svetha Venkatesh, and Helen Christensen. Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Generation Computer Systems (accepted on 5th Jan, 2018)
Duc Thanh Nguyen, Philip Ogunbona, Wanqing Li, Elizabeth Tasker, and John Yearwood. Detection of ground parrot vocalisations: a multiple instance learning approach. Journal of Acoustical Society of America, Vol 142, No. 3, 2017
Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Phung, Svetha Venkatesh, and Helen Christensen. Kernel-based features for predicting population health indices from geocoded social media data. Decision Support Systems, Vol. 102, 2017
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. Human detection from images and videos: a survey. Pattern Recognition, Vol. 51, 2016
Yasmine Probst, Duc Thanh Nguyen, Minh-Khoi Tran, and Wanqing Li. Dietary assessment on a mobile phone using image processing and pattern recognition techniques: algorithm design and system prototyping. Nutrients, Vol. 7, No. 8, 2015
Duc Thanh Nguyen, Zhimin Zong, Philip Ogunbona, Yasmine Probst, and Wanqing Li. Food image classification using local appearance and global structural information. Neurocomputing, Vol. 140, 2014
Duc Thanh Nguyen, Philip Ogunbona and Wanqing Li. A novel shape-based non-redundant local binary pattern descriptor for object detection. Pattern Recognition, Vol. 46, No. 5, 2013
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. Inter-occlusion reasoning for human detection based on variational mean field. Neurocomputing, Vol. 110, 2013
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. Local intensity distribution descriptor for object detection. IET Electronics Letters, Vol. 47, No. 5, 2011
Dung Nguyen, Duc Thanh Nguyen, Sridha Sridharan, Simon Denman, Thanh Thi Nguyen, David Dean, Clinton Fookes. Meta transfer learning for emotion recognition. Neural Computing and Applications, 2023
Dung Nguyen*, Duc Thanh Nguyen*, Rui Zeng, Thanh Thi Nguyen, Son Tran, Thin Khac Nguyen, Sridha Sridharan, and Clinton Fookes. Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition. IEEE Transactions on Multimedia, Vol. 24, 2022 (*: Equal contribution)
Thanh Nguyen, Mohamed Abdelrazek, Dung Nguyen, Sunil Aryal, Duc Thanh Nguyen, Sandeep Reddy, Quoc Nguyen, Amin Khatami, Thanh Tam Nguyen, Edbert Hsu, Samuel Yang. Machine Learning with Applications, Vol. 9, 2022
Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen. A graph-based approach for population health analysis using geo-tagged tweets. Multimedia Tools and Applications, Vol. 80, 2021
Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen. An empirical study on prediction of population health through social media. Journal of Biomedical Informatics, Vol. 99, 2019
Duc Thanh Nguyen, Ngoc Son Vu, Thanh Toan Do, Thin Nguyen, and John Yearwood. Improving Chamfer template matching using image segmentation. IEEE Signal Processing Letters, Vol. 25, No. 11, 2018
Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu, Sai-Kit Yeung. A robust 3D-2D tool for scene segmentation and annotation. IEEE Transactions on Visualization and Computer Graphics (in press), Vol. 24, No. 12, 2018
Thin Nguyen, Hung Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Phung, Svetha Venkatesh, and Helen Christensen. Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Generation Computer Systems (accepted on 5th Jan, 2018)
Duc Thanh Nguyen, Philip Ogunbona, Wanqing Li, Elizabeth Tasker, and John Yearwood. Detection of ground parrot vocalisations: a multiple instance learning approach. Journal of Acoustical Society of America, Vol 142, No. 3, 2017
Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Phung, Svetha Venkatesh, and Helen Christensen. Kernel-based features for predicting population health indices from geocoded social media data. Decision Support Systems, Vol. 102, 2017
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. Human detection from images and videos: a survey. Pattern Recognition, Vol. 51, 2016
Yasmine Probst, Duc Thanh Nguyen, Minh-Khoi Tran, and Wanqing Li. Dietary assessment on a mobile phone using image processing and pattern recognition techniques: algorithm design and system prototyping. Nutrients, Vol. 7, No. 8, 2015
Duc Thanh Nguyen, Zhimin Zong, Philip Ogunbona, Yasmine Probst, and Wanqing Li. Food image classification using local appearance and global structural information. Neurocomputing, Vol. 140, 2014
Duc Thanh Nguyen, Philip Ogunbona and Wanqing Li. A novel shape-based non-redundant local binary pattern descriptor for object detection. Pattern Recognition, Vol. 46, No. 5, 2013
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. Inter-occlusion reasoning for human detection based on variational mean field. Neurocomputing, Vol. 110, 2013
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. Local intensity distribution descriptor for object detection. IET Electronics Letters, Vol. 47, No. 5, 2011
Conference Papers
Ka-Chun Shum, Hong Wing Pang, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung. Conditional 360-degree image synthesis for immersive indoor scene decoration. IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen. Causal inference via style transfer for out-of-distribution generalisation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung. PointInverter: point cloud reconstruction and editing via a generative model with shape priors. IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.
Tuan-Anh Vu, Duc Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung. RFNet-4D: joint object reconstruction and flow estimation from 4D point clouds. European Conference on Computer Vision (ECCV), 2022. (Oral - 2.7% acceptance rate)
Hong Wing Pang, Yingshu Chen, Phuoc-Hieu Le, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung. Neural scene decoration from a single photograph. European Conference on Computer Vision (ECCV), 2022.
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung. Minimal adversarial examples for deep learning on 3D point clouds. IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, and Svetha Venkatesh. MrPC: causal structure learning in distributed systems. International Conference on Neural Information Processing (ICONIP) 2020.
Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Alexander Binder, and Sai-Kit Yeung. SideInfNet: a deep neural network for semi-automatic semantic segmentation with side information. European Conference on Computer Vision (ECCV) 2020.
Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, and Sai-Kit Yeung. LCD: learned cross-domain descriptors for 2D-3D matching. AAAI Conference (AAAI) 2020. (Oral - 4.5% acceptance rate)
Hung Nguyen, Duc Thanh Nguyen, and Thin Nguyen. SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. Australasian Conference on Data Mining (AusDM) 2019.
Hung Nguyen, Duc Thanh Nguyen, and Thin Nguyen. Estimating County Health Indices Using Graph Neural Networks. Australasian Conference on Data Mining (AusDM) 2019.
Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung. Revisiting point cloud classification: a new benchmark dataset and classification model on real-world data. IEEE/CVF International Conference on Computer Vision (ICCV) 2019. (Oral - 4.3% acceptance rate)
Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, and Sai-Kit Yeung. JSIS3D: Joint semantic-instance segmentation of 3D point clouds with multi-task pointwise networks and multi-value conditional random fields. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. (Oral - 5.6% acceptance rate)
Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung. Real-time progressive 3D semantic segmentation for indoor scenes. IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, and Sai-Kit Yeung. Urban zoning using higher-order Markov random fields on multi-view imagery data. European Conference on Computer Vision (ECCV), 2018.
Quang-Hieu Pham, Minh-Khoi Tran, Wenhui Li, Shu Xiang, Heyu Zhou, Weizhi Nie, Anan Liu, Yuting Su, Minh-Triet Tran, Ngoc-Minh Bui, Trong-Le Do, Tu V Ninh, Tu-Khiem Le, Anh-Vu Dao, Vinh-Tiep Nguyen, Minh N Do, Anh-Duc Duong, Binh-Son Hua, Lap-Fai Yu, Duc Thanh Nguyen, and Sai-Kit Yeung. RGB-D objects to CAD retrieval. Eurographics Workshop on 3D Object Retrieval, 2018
Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E Larsen, Bridianne O’Dea, Duc Thanh Nguyen, Trung Le, Dinh Phung, Svetha Venkatesh, and Helen Christensen. Jointly predicting affective and mental health scores using deep neural networks of visual cues on the Web. International Conference on Web Information Systems Engineering (WISE), 2018
Thin Nguyen, Duc Thanh Nguyen, Mark E Larsen, Bridianne O'Dea, John Yearwood, Dinh Phung, Svetha Venkatesh, and Helen Christensen. Prediction of population health indices from social media using kernel-based textual and temporal features. International Conference on World Wide Web (WWW) - Cognitive Computing Alternative Research Track, 2017
Binh-Son Hua, Quang-Trung Truong, Minh-Khoi Tran, Quang-Hieu Pham, Lap-Fai Yu, Duc Thanh Nguyen, and Sai-Kit Yeung. SHREC’17: RGB-D to CAD retrieval with ObjectNN dataset. Eurographics Workshop on 3D Object Retrieval, 2017
Duc Thanh Nguyen, Binh-Son Hua, Minh-Khoi Tran, Quang-Hieu Pham, and Sai-Kit Yeung. A field model for repairing 3D shapes. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, and Ngai-Man Cheung. Binary hashing with semidefinite relaxation and augmented Lagrangian. European Conference on Computer Vision (ECCV), 2016
Binh-Son Hua, Quang-Hieu Pham, Duc Thanh Nguyen, Minh-Khoi Tran, Lap-Fai Yu, and Sai-Kit Yeung. SceneNN: a Scene Meshes Dataset with aNNotations. IEEE International Conference on 3D Computer Vision (3DV), 2016
Duc Thanh Nguyen, Minh-Khoi Tran, and Sai-Kit Yeung. An MRF-poselets model for detecting highly articulated humans. IEEE/CVF International Conference on Computer Vision (ICCV), 2015.
Duc Thanh Nguyen. A novel chamfer template matching method using variational mean field. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2014
Lijuan Zhou, Wanqing Li, Yuyao, Philip Ogunbona, Duc Thanh Nguyen. Discriminative key pose extraction using extended LC-KSVD for action recognition. International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014
Duc Thanh Nguyen, Philip Ogunbona, and Wanqing Li. Detecting humans under occlusion using variational mean field method. IEEE International Conference on Image Processing (ICIP), 2011
Duc Thanh Nguyen, Philip Ogunbona, and Wanqing Li. Human detection with contour-based local motion binary patterns. IEEE International Conference on Image Processing (ICIP), 2011
Hongda Tian, Wanqing Li, Philip Ogunbona, Duc Thanh Nguyen, and Ce Zhan. Smoke detection in videos using non-redundant local binary pattern-based features. IEEE International Workshop on Multimedia Signal Processing (MMSP), 2011
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. Human detection using local shape and non-redundant binary patterns. IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV), 2010
Duc Thanh Nguyen, Zhimin Zong, Philip Ogunbona, and Wanqing Li. Object detection using non-redundant local binary patterns. IEEE International Conference on Image Processing (ICIP), 2010
Zhimin Zong, Duc Thanh Nguyen, Philip Ogunbona, and Wanqing Li. On the combination of local texture and global structure for food classification. IEEE International Symposium on Multimedia (ISM), 2010
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. An improved template matching method for object detection. Asian Conference on Computer Vision (ACCV), 2009
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. A novel template matching method for human detection. IEEE International Conference on Image Processing (ICIP), 2009
Duc Thanh Nguyen, Philip Ogunbona, and Wanqing Li. Human detection based on weighted template matching. IEEE International Conference on Multimedia and Expo (ICME), 2009
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. A Part-based template matching method for multi-view human detection. Image and Vision Computing New Zealand (IVCNZ), 2009
Duc Thanh Nguyen. A rotation method for binary document images using DDA algorithm. ACM Symposium on Document Engineering (DocEng), 2008
Duc Thanh Nguyen, Dai Binh Vo, Tu Mi Nguyen Thi, and Thuy Giang Nguyen. A robust document skew estimation algorithm using mathematical morphology. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2007
Duc Thanh Nguyen, Cam Thi Nguyen, Tham Luong Thi, Thanh Loan Nguyen Thi, and Kim Loan Tran Thi. An application of genetic algorithm for weekly course timetabling problem. International Conference on Artificial Intelligence (ICAI), 2007
Duc Thanh Nguyen. Solving timetabling problem using genetic and heuristic algorithms. IEEE International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (ACIS/SNPD), 2007
Duc Thanh Nguyen and Nitin Afzulpurkar. Page decomposition for document images with complex layout. International Conference on Computer Science and Its Application (ICCSA), 2006
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen. Causal inference via style transfer for out-of-distribution generalisation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung. PointInverter: point cloud reconstruction and editing via a generative model with shape priors. IEEE Winter Conference on Applications of Computer Vision (WACV), 2023.
Tuan-Anh Vu, Duc Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung. RFNet-4D: joint object reconstruction and flow estimation from 4D point clouds. European Conference on Computer Vision (ECCV), 2022. (Oral - 2.7% acceptance rate)
Hong Wing Pang, Yingshu Chen, Phuoc-Hieu Le, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung. Neural scene decoration from a single photograph. European Conference on Computer Vision (ECCV), 2022.
Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung. Minimal adversarial examples for deep learning on 3D point clouds. IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, and Svetha Venkatesh. MrPC: causal structure learning in distributed systems. International Conference on Neural Information Processing (ICONIP) 2020.
Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Alexander Binder, and Sai-Kit Yeung. SideInfNet: a deep neural network for semi-automatic semantic segmentation with side information. European Conference on Computer Vision (ECCV) 2020.
Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, and Sai-Kit Yeung. LCD: learned cross-domain descriptors for 2D-3D matching. AAAI Conference (AAAI) 2020. (Oral - 4.5% acceptance rate)
Hung Nguyen, Duc Thanh Nguyen, and Thin Nguyen. SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. Australasian Conference on Data Mining (AusDM) 2019.
Hung Nguyen, Duc Thanh Nguyen, and Thin Nguyen. Estimating County Health Indices Using Graph Neural Networks. Australasian Conference on Data Mining (AusDM) 2019.
Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung. Revisiting point cloud classification: a new benchmark dataset and classification model on real-world data. IEEE/CVF International Conference on Computer Vision (ICCV) 2019. (Oral - 4.3% acceptance rate)
Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, and Sai-Kit Yeung. JSIS3D: Joint semantic-instance segmentation of 3D point clouds with multi-task pointwise networks and multi-value conditional random fields. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) 2019. (Oral - 5.6% acceptance rate)
Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung. Real-time progressive 3D semantic segmentation for indoor scenes. IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, and Sai-Kit Yeung. Urban zoning using higher-order Markov random fields on multi-view imagery data. European Conference on Computer Vision (ECCV), 2018.
Quang-Hieu Pham, Minh-Khoi Tran, Wenhui Li, Shu Xiang, Heyu Zhou, Weizhi Nie, Anan Liu, Yuting Su, Minh-Triet Tran, Ngoc-Minh Bui, Trong-Le Do, Tu V Ninh, Tu-Khiem Le, Anh-Vu Dao, Vinh-Tiep Nguyen, Minh N Do, Anh-Duc Duong, Binh-Son Hua, Lap-Fai Yu, Duc Thanh Nguyen, and Sai-Kit Yeung. RGB-D objects to CAD retrieval. Eurographics Workshop on 3D Object Retrieval, 2018
Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E Larsen, Bridianne O’Dea, Duc Thanh Nguyen, Trung Le, Dinh Phung, Svetha Venkatesh, and Helen Christensen. Jointly predicting affective and mental health scores using deep neural networks of visual cues on the Web. International Conference on Web Information Systems Engineering (WISE), 2018
Thin Nguyen, Duc Thanh Nguyen, Mark E Larsen, Bridianne O'Dea, John Yearwood, Dinh Phung, Svetha Venkatesh, and Helen Christensen. Prediction of population health indices from social media using kernel-based textual and temporal features. International Conference on World Wide Web (WWW) - Cognitive Computing Alternative Research Track, 2017
Binh-Son Hua, Quang-Trung Truong, Minh-Khoi Tran, Quang-Hieu Pham, Lap-Fai Yu, Duc Thanh Nguyen, and Sai-Kit Yeung. SHREC’17: RGB-D to CAD retrieval with ObjectNN dataset. Eurographics Workshop on 3D Object Retrieval, 2017
Duc Thanh Nguyen, Binh-Son Hua, Minh-Khoi Tran, Quang-Hieu Pham, and Sai-Kit Yeung. A field model for repairing 3D shapes. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Thanh-Toan Do, Anh-Dzung Doan, Duc Thanh Nguyen, and Ngai-Man Cheung. Binary hashing with semidefinite relaxation and augmented Lagrangian. European Conference on Computer Vision (ECCV), 2016
Binh-Son Hua, Quang-Hieu Pham, Duc Thanh Nguyen, Minh-Khoi Tran, Lap-Fai Yu, and Sai-Kit Yeung. SceneNN: a Scene Meshes Dataset with aNNotations. IEEE International Conference on 3D Computer Vision (3DV), 2016
Duc Thanh Nguyen, Minh-Khoi Tran, and Sai-Kit Yeung. An MRF-poselets model for detecting highly articulated humans. IEEE/CVF International Conference on Computer Vision (ICCV), 2015.
Duc Thanh Nguyen. A novel chamfer template matching method using variational mean field. IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2014
Lijuan Zhou, Wanqing Li, Yuyao, Philip Ogunbona, Duc Thanh Nguyen. Discriminative key pose extraction using extended LC-KSVD for action recognition. International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014
Duc Thanh Nguyen, Philip Ogunbona, and Wanqing Li. Detecting humans under occlusion using variational mean field method. IEEE International Conference on Image Processing (ICIP), 2011
Duc Thanh Nguyen, Philip Ogunbona, and Wanqing Li. Human detection with contour-based local motion binary patterns. IEEE International Conference on Image Processing (ICIP), 2011
Hongda Tian, Wanqing Li, Philip Ogunbona, Duc Thanh Nguyen, and Ce Zhan. Smoke detection in videos using non-redundant local binary pattern-based features. IEEE International Workshop on Multimedia Signal Processing (MMSP), 2011
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. Human detection using local shape and non-redundant binary patterns. IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV), 2010
Duc Thanh Nguyen, Zhimin Zong, Philip Ogunbona, and Wanqing Li. Object detection using non-redundant local binary patterns. IEEE International Conference on Image Processing (ICIP), 2010
Zhimin Zong, Duc Thanh Nguyen, Philip Ogunbona, and Wanqing Li. On the combination of local texture and global structure for food classification. IEEE International Symposium on Multimedia (ISM), 2010
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. An improved template matching method for object detection. Asian Conference on Computer Vision (ACCV), 2009
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. A novel template matching method for human detection. IEEE International Conference on Image Processing (ICIP), 2009
Duc Thanh Nguyen, Philip Ogunbona, and Wanqing Li. Human detection based on weighted template matching. IEEE International Conference on Multimedia and Expo (ICME), 2009
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona. A Part-based template matching method for multi-view human detection. Image and Vision Computing New Zealand (IVCNZ), 2009
Duc Thanh Nguyen. A rotation method for binary document images using DDA algorithm. ACM Symposium on Document Engineering (DocEng), 2008
Duc Thanh Nguyen, Dai Binh Vo, Tu Mi Nguyen Thi, and Thuy Giang Nguyen. A robust document skew estimation algorithm using mathematical morphology. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2007
Duc Thanh Nguyen, Cam Thi Nguyen, Tham Luong Thi, Thanh Loan Nguyen Thi, and Kim Loan Tran Thi. An application of genetic algorithm for weekly course timetabling problem. International Conference on Artificial Intelligence (ICAI), 2007
Duc Thanh Nguyen. Solving timetabling problem using genetic and heuristic algorithms. IEEE International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (ACIS/SNPD), 2007
Duc Thanh Nguyen and Nitin Afzulpurkar. Page decomposition for document images with complex layout. International Conference on Computer Science and Its Application (ICCSA), 2006
Technical Reports
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, Son N. Tran, Rui Zeng, and Clinton Fookes. Joint deep cross-domain transfer learning for emotion recognition. arXiv:2003.11136, 2020.
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, and Clinton Fookes. Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition.arXiv:2004.13236, 2020.
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, and Clinton Fookes. Meta transfer learning for emotion recognition. arXiv:2006.13211, 2020.
Thanh Thi Nguyen, Cuong M Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, and Saeid Nahavandi. Deep learning for deepfakes creation and detection. arXiv:1909.11573, 2019.
Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung. Real-time progressive 3D semantic segmentation for indoor scenes. arXiv:1804.00257, 2018.
Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu, and Sai-Kit Yeung. A robust 3D-2D interactive tool for scene segmentation and annotation. arXiv:1610.05883, 2016
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, and Clinton Fookes. Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition.arXiv:2004.13236, 2020.
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen, Simon Denman, David Dean, and Clinton Fookes. Meta transfer learning for emotion recognition. arXiv:2006.13211, 2020.
Thanh Thi Nguyen, Cuong M Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, and Saeid Nahavandi. Deep learning for deepfakes creation and detection. arXiv:1909.11573, 2019.
Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung. Real-time progressive 3D semantic segmentation for indoor scenes. arXiv:1804.00257, 2018.
Duc Thanh Nguyen, Binh-Son Hua, Lap-Fai Yu, and Sai-Kit Yeung. A robust 3D-2D interactive tool for scene segmentation and annotation. arXiv:1610.05883, 2016