Dr Gary Tam

Senior Lecturer, Computer Science

+44 (0) 1792 513383

k.l.tam@swansea.ac.uk

Office - 218
Second Floor
Computational Foundry
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0001-7387-5180

Google Scholar

Scopus

About

Gary K.L. Tam received his B.Eng. (first class honors), M.Phil., Ph.D. degrees and PGCtHE (HEA fellow) from the Hong Kong University of Science and Technology, City University of Hong Kong, Durham University and Swansea University respectively. In 2004, he worked as an instructor at the City University of Hong Kong. In 2009, he worked as a research associate at the Department of Computer Science and Informatics, Cardiff University. He joined the Department of Computer Science, Swansea University, since 2012. He is now a senior lecturer, and is working collaboratively in the Visual Computing Group and the RIVIC.

Areas Of Expertise

Visual Analytics
Machine Learning
Digital Geometry Processing
Pattern Recognition and Vision
Multi-dimensional Data Analysis
Information Retrieval and Indexing

Career Highlights

Teaching Interests

Gary teaches the following courses:
Database Systems
Software Concepts and Efficiency
Year Abroad (Computer Science)

Research Award Highlights Collaborations

Publications

Research Highlights

Warren, A., Xu, K., Lin, J., Tam, G., & Lau, R. (n.d.) Effective Video Mirror Detection with Inconsistent Motion Cues. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65886
Tesema, K., Hill, L., Jones, M., Ahmad, M., & Tam, G. (2024). Point Cloud Completion: A Survey. IEEE Transactions on Visualization and Computer Graphics, 1-20.
https://doi.org/10.1109/tvcg.2023.3344935, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65337
http://dx.doi.org/10.1109/tvcg.2023.3344935
Siris, A., Jiao, J., Tam, G., Xie, X., & Lau, R. (2024). Inferring Attention Shifts for Salient Instance Ranking. International Journal of Computer Vision, 132(3), 964-986.
https://doi.org/10.1007/s11263-023-01906-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64287
Yang, B., Jiang, Z., Wang, G., Tam, G., Song, C., & Li, F. (n.d.) An end-to-end dynamic point cloud geometry compression in latent space. Displays, 102528
https://doi.org/10.1016/j.displa.2023.102528, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64182
http://dx.doi.org/10.1016/j.displa.2023.102528
Jiang, Z., Ding, L., Tam, G., Song, C., Li, F., & Yang, B. (2023). C2SPoint: A classification-to-saliency network for point cloud saliency detection. Computers and Graphics, 115, 274-284.
https://doi.org/10.1016/j.cag.2023.07.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63869
http://dx.doi.org/10.1016/j.cag.2023.07.003

All Research

Journal Articles

Siris, A., Jiao, J., Tam, G., Xie, X., & Lau, R. (2024). Inferring Attention Shifts for Salient Instance Ranking. International Journal of Computer Vision, 132(3), 964-986.
https://doi.org/10.1007/s11263-023-01906-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64287
Tesema, K., Hill, L., Jones, M., Ahmad, M., & Tam, G. (2024). Point Cloud Completion: A Survey. IEEE Transactions on Visualization and Computer Graphics, 1-20.
https://doi.org/10.1109/tvcg.2023.3344935, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65337
http://dx.doi.org/10.1109/tvcg.2023.3344935
Jiang, Z., Ding, L., Tam, G., Song, C., Li, F., & Yang, B. (2023). C2SPoint: A classification-to-saliency network for point cloud saliency detection. Computers and Graphics, 115, 274-284.
https://doi.org/10.1016/j.cag.2023.07.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63869
http://dx.doi.org/10.1016/j.cag.2023.07.003
George, D., Xie, X., Lai, Y., & Tam, G. (2022). A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections. Computer-Aided Design, 144, 103179
https://doi.org/10.1016/j.cad.2021.103179, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58880
Wang, T., George, D., Lai, Y., Xie, X., & Tam, G. (2019). Consistent segment-wise matching with multi-layer graphs. Computer Aided Geometric Design, 70, 31-45.
https://doi.org/10.1016/j.cagd.2019.04.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49776
Edwards, M., Xie, X., Palmer, R., Tam, G., Alcock, R., & Roobottom, C. (2019). Graph convolutional neural network for multi-scale feature learning. Computer Vision and Image Understanding, 194, 102881
https://doi.org/10.1016/j.cviu.2019.102881, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52916
Dyke, R., Lai, Y., Rosin, P., & Tam, G. (2019). Non-rigid registration under anisotropic deformations. Computer Aided Geometric Design, 71, 142-156.
https://doi.org/10.1016/j.cagd.2019.04.014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49861
George, D., Xie, X., & Tam, G. (2018). 3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks. Graphical Models, 96, 1-10.
https://doi.org/10.1016/j.gmod.2018.01.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38364
Tam, G., Kothari, V., & Chen, M. (2017). An Analysis of Machine- and Human-Analytics in Classification. IEEE Transactions on Visualization and Computer Graphics, 23(1), 71-80.
https://doi.org/10.1109/tvcg.2016.2598829, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30857
Pickup, D., Sun, X., Rosin, P., Martin, R., Cheng, Z., Lian, Z., Aono, M., Hamza, A., Bronstein, A., Bronstein, M., Bu, S., Castellani, U., Cheng, S., Garro, V., Giachetti, A., Godil, A., Isaia, L., Han, J., Johan, H...., & Tam, G. (2016). Shape Retrieval of Non-rigid 3D Human Models. International Journal of Computer Vision, 120
https://doi.org/10.1007/s11263-016-0903-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27814
Fang, H., Mac Parthaláin, N., Aubrey, A., Tam, G., Borgo, R., Rosin, P., Grant, P., Marshall, D., & Chen, M. (2014). Facial expression recognition in dynamic sequences: An integrated approach. Pattern Recognition, 47(3), 1271-1281.
https://doi.org/10.1016/j.patcog.2013.09.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20808
Tam, G., Martin, R., Rosin, P., & Lai, Y. (2014). Diffusion pruning for rapidly and robustly selecting global correspondences using local isometry. ACM Transactions on Graphics, 33(1), 1-17.
https://doi.org/10.1145/2517967, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20809
Tam, G., Martin, R., Rosin, P., & Lai, Y. (2014). An Efficient Approach to Correspondences between Multiple Non-Rigid Parts. Computer Graphics Forum, 33(5), 137-146.
https://doi.org/10.1111/cgf.12439, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20810
Cheng, Z., Lai, Y., Langbein, F., Liu, Y., Marshall, D., Martin, R., Rosin, P., Sun, X., & Tam, G. (2013). Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid. Ieee Transactions on Visualization and Computer Graphics, 19
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23194
Tam, G., Cheng, Z., Lai, Y., Langbein, F., Liu, Y., Marshall, A., Martin, R., Sun, X., & Rosin, P. (2013). Registration of 3D Point Clouds and Meshes: A Survey From Rigid to Non-Rigid. IEEE Transactions on Visualization and Computer Graphics, 19(7), 1199-1.
https://doi.org/10.1109/TVCG.2012.310, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13755
Fang, H., Tam, G., Borgo, R., Aubrey, A., Grant, P., Rosin, P., Wallraven, C., Cunningham, D., Marshall, A., & Chen, M. (2013). Visualizing Natural Image Statistics. IEEE Transactions on Visualization and Computer Graphics, 19(7), 1228-1.
https://doi.org/10.1109/TVCG.2012.312, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13756
Tam, G. & Lau, R. (2012). Embedding Retrieval of Articulated Geometry Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11), 2134-2146.
https://doi.org/10.1109/TPAMI.2012.17, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13757
Tam, G., Fang, H., Aubrey, A., Grant, P., Rosin, P., Marshall, D., Chen, M., Grant, P., & Tam, G. (2011). Visualization of Time-Series Data in Parameter Space for Understanding Facial Dynamics. Computer Graphics Forum, 30(3), 901-910.
https://doi.org/10.1111/j.1467-8659.2011.01939.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13758
Tam, G., Lau, R., & Zhao, J. (2009). A 3D Geometry Model Search Engine to Support Learning. International Journal of Distance Education Technologies, 7(2), 100-112.
https://doi.org/10.4018/jdet.2009040106, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14372
Lau, R. & Tam, G. (2007). Deformable Model Retrieval Based on Topological and Geometric Signatures. IEEE Transactions on Visualization and Computer Graphics, 13(3), 470-482.
https://doi.org/10.1109/TVCG.2007.1011, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23198
Yang, B., Jiang, Z., Wang, G., Tam, G., Song, C., & Li, F. (n.d.) An end-to-end dynamic point cloud geometry compression in latent space. Displays, 102528
https://doi.org/10.1016/j.displa.2023.102528, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64182
http://dx.doi.org/10.1016/j.displa.2023.102528

Book Chapters

Xiao, H., Tam, G., Li, F., Lau, R., Pan, Z., Cheok, A., Haller, M., Lau, R., Saito, H., & Liang, R. (2006). Dynamic radiosity on multi-resolution models. Advances in Artificial Reality and Tele-Existence, Proceedings
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23199
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000244711900078&KeyUID=WOS:000244711900078
Xiao, H., Lau, R., Tam, G., Liu, W., Li, Q., & Lau, R. (2006). An efficient illumination framework for web-based lighting engineering education. Advances in Web Based Learning - ICWL 2006
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23200
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000243113600010&KeyUID=WOS:000243113600010

Conference Contributions

Siris, A., Jiao, J., Tam, G., Xie, X., & Lau, R. (2022). Scene Context-Aware Salient Object Detection. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 4156-4166). IEEE.
https://doi.org/10.1109/iccv48922.2021.00412, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57526
Siris, A., Jiao, J., Tam, G., Xie, X., & Lau, R. (2020). Inferring Attention Shift Ranks of Objects for Image Saliency. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 12133-12143). IEEE.
https://doi.org/10.1109/cvpr42600.2020.01215, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53689
http://dx.doi.org/10.1109/cvpr42600.2020.01215
Wang, T., George, D., Lai, Y., Xie, X., & Tam, G. (2019). Consistent segment-wise matching with multi-layer graphs (CGVC2018 Poster). In Computer Graphics & Visual Computing (CGVC) 2018EGUK Computer Graphics and Visual Computing (Poster) 2018.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48785
http://www.eguk.org.uk/CGVC2018/programme.html
Wang, T., Vladimirov, K., Goh, S., Lai, Y., Xie, X., & Tam, G. (2019). Robust and Flexible Puzzle Solving with Corner-based Cycle Consistent Correspondences. In EG UK Conference of Computer Graphics & Visual Computing 2019EGUK.
https://doi.org/10.2312/cgvc.20191266, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51628
http://eguk.bangor.ac.uk/CGVC2019/programme.html
Dyke, R., Stride, C., Lai, Y., Rosin, P., Aubry, M., Boyarski, A., Bronstein, A., Bronstein, M., Cremers, D., Fisher, M., Groueix, T., Guo, D., Kim, V., Kimmel, R., Lähner, Z., Li, K., Litany, O., Remez, T., Rodolà, E...., & Tam, G. (2019). Shape Correspondence with Isometric and Non-Isometric Deformations. In Eurographics Workshop on 3D Object RetrievalThe Eurographics Association.
https://doi.org/10.2312/3dor.20191069, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52380
https://diglib.eg.org/handle/10.2312/3dor20191069
Palmer, R., Xianghua Xie, ., & Tam, G. (2015). Finding complete 3D vertex correspondence for statistical shape modeling. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2912-2915).
https://doi.org/10.1109/EMBC.2015.7319001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27812
Palmer, R., Xie, X., & Tam, G. (2015). Automatic Aortic Root Segmentation with Shape Constraints and Mesh Regularisation. In British Machine Vision Conference (pp. 83.1-83.11).
https://doi.org/10.5244/C.29.83, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27022
http://www.bmva.org/bmvc/2015/papers/paper083/index.html
George, D., Tam, G., & Xie, X. (2015). Analysis of face and segment level descriptors for robust 3D co-segmentation. (pp. 3.1-3.10). BMVC 2015.
https://doi.org/10.5244/C.29.BMVW.3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26141
http://www.bmva.org/bmvc/2015/bmvw/papers/paper003/index.html
Palmer, R., Tam, G., Alock, R., Roobottom, C., & Xie, X. (2015). Computing 3D Mesh Correspondence for Aortic Root Shape Modelling. In 19th Conference on Medical Image Understanding and Analysis (pp. 1-6). 19th Conference on Medical Image Understanding and Analysis.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22234
http://csvision.swan.ac.uk/uploads/Site/PublicationCategorisedVersion/miua2015_XX.pdf
Lau, R., Tam, G., & Zhao, J. (2008). Advances in Web Based Learning – ICWL 2007. In A 3D Geometry Search Engine in Support of Learning (pp. 404-415).
https://doi.org/10.1007/978-3-540-78139-4_36, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23196
Warren, A., Xu, K., Lin, J., Tam, G., & Lau, R. (n.d.) Effective Video Mirror Detection with Inconsistent Motion Cues. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65886

Other Research Outputs

Aubrey, A., Chen, M., Fang, H., Grant, P., Marshall, D., Rosin, P., & Tam, G. (2010). Comparing feature-based metrics for facial dynamics analysis
https://doi.org/10.1145/1924035.1924050, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23195
Corbyn, M., Lau, R., Tam, G., & Zheng, Q. (2007). Motion Retrieval Based on Energy Morphing
https://doi.org/10.1109/ISM.2007.15, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23197
Lau, R., Ngo, C., & Tam, G. (2004). Deformable Object Model Matching Using Bipartite Graph
https://doi.org/10.1109/cgi.2004.36, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23201
Lau, R., Ngo, C., & Tam, G. (2004). Deformable Geometry Model Matching by Topological and Geometric Signatures
https://doi.org/10.1109/icpr.2004.281, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23202

Supervision

Explainable Deep Models to Empower Economic Growth for Small and Medium Enterprises (current)

PhD

Other supervisor: Dr Kevin Mclafferty

Other supervisor: Dr Kevin Mclafferty

Other supervisor: Prof Xianghua Xie
Advancements in Detection Methods using Attention, Multi-Modalities, and Exploitable Cues. (current)

PhD

Other supervisor: Dr Joe Macinnes
Scalable AI-Assisted 3D City Model Reconstruction from Multiple Sourced Systems (current)

PhD

Other supervisor: Dr Sean Walton
Novel human-in-the-loop 3D point cloud completion for sub sea surveying (current)

PhD

Other supervisor: Prof Mark Jones

Other supervisor: Dr Muneeb Ahmad
Predicting and Modeling Chronic Kidney Disease (CKD) (current)

PhD

Other supervisor: Prof Xianghua Xie
Detecting and Correcting Steel Surface Properties using Machine Learning (current)

PhD

Other supervisor: Prof Xianghua Xie
Delving into human visual attention for saliency detection of real-world images (awarded 2022)

PhD

Other supervisor: Prof Xianghua Xie
Irregular Domain Deep Learning (awarded 2023)

PhD

Other supervisor: Dr Mike Edwards

Other supervisor: Prof Xianghua Xie

Taught Modules

CS-250 Database Systems

This module will discuss the theory, design and implementation of databases.

Key Grants and Projects

Chronic Kidney Diseases and Explainable AI - The CHERISH-DE Collaboration Incentive Fund 2020 - 2021

, with Dr James Chess (Welsh Kidney Research Unit), £2K
Machine Learning, Explainable AI and Precision Medicine (Singapore, NTU), The CHERISH-DE International Mobility 2019 - 2020

, with Dr Kwoh Chee Keong, NTU, Singapore, £2K
The largest, publicly available 4DWelsh dataset - The CHERISH-DE Collaboration Incentive Fund (with SPIN support) 2019 - 2020

, with Dr Yukun Lai, Cardiff University, Dr Gwenno Ffrancon, Academi Hywel Teifi, £3.3K
EPSRC Early Career Equipment Grant (CoS Joint Proposal) 2018

An Eye Tracker Tobii X3-120, £11K, with Dr Daniel Archambault, Dr Stephen Lindsay, £100K
College of Science - Overseas Research Collaboration Fund 2018

, with Prof Rynson WH Lau, £1.8K
Towards a Robust Spoken Language Intelligent Evaluator - The Coleg Cymraeg Cenedlaethol Strategic Development Fund (with SPIN support) 2017 - 2018

, £3.4K
Equipment fund - Biomedical and Geometry Processing Lab 2013

3dMD 4D camera, with Dr. Xianghua Xie (Swansea University), £29K

Career History

Senior Lecturer, Swansea University

February 2018 - Present
Lecturer, Swansea University

November 2012 - February 2018

Invited Presentations, Lectures and Conferences

Excellence in Learning and Teaching Award (ELTA), Swansea University https://salt.swan.ac.uk/what-does-excellence-look-like/

October 2018

Swansea University
Invited Talk: Reliable Correspondences for Non-Rigid 3D Surfaces Using Diffusion

June 2017

Portsmouth
Invited Talk: Reliable Correspondences for Non-Rigid 3D Surfaces Using Diffusion

February 2017

Durham
VIS 2016 Conference: Analysis of Machine- and Human-Analytics in Classification (Best VAST Paper Award)

October 2016

Baltimore, USA
SIGGRAPH 2014 Conference :Diffusion Pruning for Rapidly and Robustly Selecting Global Correspondences using Local Isometry

August 2014

Vancouver, Canada
SGP 2014 Conference : An Efficient Approach to Correspondences between Multiple Non-Rigid Parts

June 2014

Cardiff
EuroVis 2011 Conference: Visual Analytics and Facial Dynamics

2011

Bergen, Norway
Rigid and Non-Rigid Registration - A Survey

2010

Aberystwyth
ICWL 2007 Conference

2007

Edinburgh
ICPR 2004 Conference

2004

Cambridge
CGI 2004 Conference

2004

Crete, Greece

Dr Gary Tam

Telephone number

Email address

LinkedIn Account

Research Links

About

Areas Of Expertise

Career Highlights

Research Highlights

All Research

Explainable Deep Models to Empower Economic Growth for Small and Medium Enterprises (current)

Advancements in Detection Methods using Attention, Multi-Modalities, and Exploitable Cues. (current)

Scalable AI-Assisted 3D City Model Reconstruction from Multiple Sourced Systems (current)

Novel human-in-the-loop 3D point cloud completion for sub sea surveying (current)

Predicting and Modeling Chronic Kidney Disease (CKD) (current)

Detecting and Correcting Steel Surface Properties using Machine Learning (current)

Delving into human visual attention for saliency detection of real-world images (awarded 2022)

Irregular Domain Deep Learning (awarded 2023)

CS-250 Database Systems

Chronic Kidney Diseases and Explainable AI - The CHERISH-DE Collaboration Incentive Fund 2020 - 2021

Machine Learning, Explainable AI and Precision Medicine (Singapore, NTU), The CHERISH-DE International Mobility 2019 - 2020

The largest, publicly available 4DWelsh dataset - The CHERISH-DE Collaboration Incentive Fund (with SPIN support) 2019 - 2020

EPSRC Early Career Equipment Grant (CoS Joint Proposal) 2018

College of Science - Overseas Research Collaboration Fund 2018

Towards a Robust Spoken Language Intelligent Evaluator - The Coleg Cymraeg Cenedlaethol Strategic Development Fund (with SPIN support) 2017 - 2018

Equipment fund - Biomedical and Geometry Processing Lab 2013

Senior Lecturer, Swansea University

Lecturer, Swansea University

Excellence in Learning and Teaching Award (ELTA), Swansea University https://salt.swan.ac.uk/what-does-excellence-look-like/

Invited Talk: Reliable Correspondences for Non-Rigid 3D Surfaces Using Diffusion

Invited Talk: Reliable Correspondences for Non-Rigid 3D Surfaces Using Diffusion

VIS 2016 Conference: Analysis of Machine- and Human-Analytics in Classification (Best VAST Paper Award)

SIGGRAPH 2014 Conference :Diffusion Pruning for Rapidly and Robustly Selecting Global Correspondences using Local Isometry

SGP 2014 Conference : An Efficient Approach to Correspondences between Multiple Non-Rigid Parts

EuroVis 2011 Conference: Visual Analytics and Facial Dynamics

Rigid and Non-Rigid Registration - A Survey

ICWL 2007 Conference

ICPR 2004 Conference

CGI 2004 Conference