Tat-Jun Chin

Prof Tat-Jun Chin

Professor

School of Computer Science and Information Technology

College of Engineering and Information Technology

Available For Media Comment.

Tat-Jun Chin is Professor of Computer Science at The University of Adelaide. He received his PhD in Computer Systems Engineering from Monash University in 2007, which was partly supported by the Endeavour Australia-Asia Award, and a Bachelor in Mechatronics Engineering from Universiti Teknologi Malaysia in 2004, where he won the Vice Chancellor’s Award. Tat-Jun’s research interest lies in optimisation for computer vision and machine learning, and their application to intelligent satellites and space robotics. He has published more than 150 research articles on the subject, and has won several awards for his research, including a CVPR award (2015), a BMVC award (2018), Best of ECCV (2018), three DST Awards (2015, 2017, 2021), an IAPR Award (2019), an RAL Best Paper Award (2021), and a ECCV Best Paper Award Finalist (2024). He was a Finalist in the Academic of the Year Category at Australian Space Awards 2021. Tat-Jun is currently Visiting Professor at the European Space Agency's Philab and was a SmartSat CRC Professorial Chair in 2020-2025.

I lead the AI for Space Group. Please visit my group for more information.

Date Position Institution name
2025 - 2027 Visiting Professor European Space Agency's Philab
2020 - ongoing Professor The University of Adelaide
2020 - 2025 SmartSat CRC Professorial Chair The University of Adelaide

Year Citation
2026 McLeod, S., Chng, C. -K., & Chin, T. -J. (2026). Evaluating geometric primitives for crater-based pose estimation. Acta Astronautica, 238(A), 1311-1325.
DOI
2026 Jawaid, M., Märtens, M., & Chin, T. J. (2026). Event-RGB fusion for spacecraft pose estimation under harsh lighting. Aerospace Science and Technology, 168, 31 pages.
DOI
2025 Chng, C. K., Jansen-Sturgeon, T., Payne, T., & Chin, T. J. (2025). Direct Initial Orbit Determination. IEEE Transactions on Aerospace and Electronic Systems, 61(5), 1-14.
DOI
2025 Latif, Y., Anastasiou, P., Ng, Y., Prime, Z., Lu, T. -F., Tetlow, M., . . . Chin, T. -J. (2025). High Frequency, High Accuracy Pointing Onboard Nanosats Using Neuromorphic Event Sensing and Piezoelectric Actuation. The Journal of the Astronautical Sciences, 72(2), 23 pages.
DOI Scopus1
2024 Nguyen, B. L., Doan, A. -D., Chin, T. -J., Guettier, C., Gupta, S., Parra, E., . . . Wagner, M. (2024). Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. IEEE Transactions on Intelligent Transportation Systems, 25(9), 11635-11647.
DOI Scopus4 WoS2
2024 Wang, L., Gall, J., Chin, T. J., Sato, I., & Chellappa, R. (2024). Guest Editorial: Special Issue on ACCV 2022. International Journal of Computer Vision, 132(12), 6207.
DOI
2024 Chng, C. -K., Mcleod, S., Rodda, M., & Chin, T. -J. (2024). Crater identification by perspective cone alignment. Acta Astronautica, 224, 1-16.
DOI Scopus3 WoS3
2024 Du, A., Doan, A. -D., Law, Y. W., & Chin, T. -J. (2024). Domain Adaptation for Satellite-Borne Multispectral Cloud Detection. Remote Sensing, 16(18), 3469.
DOI Scopus2 WoS2
2024 Doan, A. -D., Nguyen, B. L., Gupta, S., Reid, I., Wagner, M., & Chin, T. -J. (2024). Assessing domain gap for continual domain adaptation in object detection. Computer Vision and Image Understanding, 238, 103885-1-103885-10.
DOI Scopus2 WoS1
2023 Park, T. H., Märtens, M., Jawaid, M., Wang, Z., Chen, B., Chin, T. -J., . . . D’Amico, S. (2023). Satellite Pose Estimation Competition 2021: Results and Analyses. Acta Astronautica, 204, 604-665.
DOI Scopus72 WoS62
2023 Jawaid, M., Elms, E., Latif, Y., & Chin, T. J. (2023). Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. Proceedings - IEEE International Conference on Robotics and Automation, 2023-May, 11866-11873.
DOI Scopus27
2023 Chng, C. -K., Bustos, A. P., McCarthy, B., & Chin, T. -J. (2023). ROSIA: Rotation-Search-Based Star Identification Algorithm. IEEE Transactions on Aerospace and Electronic Systems, 59(5), 1-15.
DOI Scopus1
2022 Chng, C. -K., Sasdelli, M., & Chin, T. -J. (2022). Globally optimal shape and spin pole determination with lightcurve inversion. Monthly Notices of the Royal Astronomical Society, 513(1), 311-332.
DOI Scopus2 WoS2
2021 Bian, J. W., Zhan, H., Wang, N., Chin, T. J., Shen, C., & Reid, I. (2021). Auto-Rectify Network for Unsupervised Indoor Depth Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12), 12 pages.
DOI Scopus57 WoS53 Europe PMC13
2021 Eriksson, A., Olsson, C., Kahl, F., & Chin, T. J. (2021). Rotation averaging with the chordal distance: global minimizers and strong duality. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(1), 256-268.
DOI Scopus23 Europe PMC4
2021 Le, H., Chin, T. J., Eriksson, A., Do, T. T., & Suter, D. (2021). Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3), 842-857.
DOI Scopus26 WoS23 Europe PMC4
2021 Doan, A. -D., Latif, Y., Chin, T. -J., & Reid, I. (2021). HM⁴: hidden Markov model with memory management for visual place recognition. IEEE Robotics and Automation Letters, 6(1), 167-174.
DOI Scopus4 WoS4
2021 Chin, T. J., Suter, D., Ch’ng, S. F., & Quach, J. (2021). Quantum Robust Fitting. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12622 LNCS, 485-499.
DOI Scopus4 WoS1
2020 Doan, A. D., Latif, Y., Chin, T. J., Liu, Y., Ch ng, S. F., Do, T. T., & Reid, I. (2020). Visual localization under appearance change: filtering approaches. Neural Computing and Applications, 33(13), 254-261.
DOI Scopus4 WoS7
2020 Chng, C. K., Parra, A., Chin, T. J., & Latif, Y. (2020). Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. 2020 Digital Image Computing Techniques and Applications Dicta 2020, abs/2010.01872, 8 pages.
DOI Scopus13 WoS10
2020 Lai, T., Wang, H., Yan, Y., Chin, T. J., Zheng, J., & Li, B. (2020). Accelerated guided sampling for multistructure model fitting. IEEE Transactions on Cybernetics, 50(10), 4530-4543.
DOI Scopus9 WoS9 Europe PMC1
2020 Chin, T. -J., Cai, Z., & Neumann, F. (2020). Robust fitting in computer vision: Easy or hard?. International Journal of Computer Vision, 128(3), 575-587.
DOI Scopus21 WoS17
2020 Liu, D., Chen, B., Chin, T. -J., & Rutten, M. G. (2020). Topological Sweep for Multi-Target Detection of Geostationary Space Objects. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 68, 5166-5177.
DOI Scopus28 WoS21
2020 Chen, B., Parra, Á., Cao, J., Li, N., & Chin, T. J. (2020). End-to-end learnable geometric vision by backpropagating PNP optimization. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 8097-8106.
DOI Scopus102 WoS77
2019 Cai, Z., Chin, T. J., Bustos, A. P., & Schindler, K. (2019). Practical optimal registration of terrestrial LiDAR scan pairs. ISPRS Journal of Photogrammetry and Remote Sensing, 147, 118-131.
DOI Scopus82 WoS73
2019 Do, H. N., Chin, T. J., Moretti, N., Jah, M. K., & Tetlow, M. (2019). Robust foreground segmentation and image registration for optical detection of GEO objects. Advances in Space Research, 64(3), 733-746.
DOI Scopus34
2018 Palkopoulou, E., Lipson, M., Mallick, S., Nielsen, S., Rohland, N., Baleka, S., . . . Reich, D. (2018). A comprehensive genomic history of extinct and living elephants. Proceedings of the National Academy of Sciences of the United States of America, 115(11), 2566-2574.
DOI Scopus149 WoS144 Europe PMC112
2018 Zhang, Q., & Chin, T. -J. (2018). Coresets for triangulation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(9), 2095-2108.
DOI Scopus12 Europe PMC3
2018 Bustos, A., & Chin, T. J. (2018). Guaranteed outlier removal for point cloud registration with correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(12), 2868-2882.
DOI Scopus184 WoS165 Europe PMC13
2017 Lai, T., Wang, H., Yan, Y., Chin, T., & Zhao, W. (2017). Motion segmentation via a sparsity constraint. IEEE Transactions on Intelligent Transportation Systems, 18(4), 973-983.
DOI Scopus42
2017 Purkait, P., Chin, T., Sadri, A., & Suter, D. (2017). Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(9), 1697-1711.
DOI Scopus73 WoS67 Europe PMC12
2017 Chin, T., Purkait, P., Eriksson, A., & Suter, D. (2017). Efficient globally optimal consensus maximisation with tree search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4), 758-772.
DOI Scopus21 WoS17 Europe PMC1
2016 Parra Bustos, A., Chin, T., Eriksson, A., Li, H., & Suter, D. (2016). Fast rotation search with stereographic projections for 3D registration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(11), 2227-2240.
DOI Scopus49 WoS43 Europe PMC9
2014 Pham, T., Chin, T., Yu, J., & Suter, D. (2014). The random cluster model for robust geometric fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 1658-1671.
DOI Scopus100 WoS92 Europe PMC10
2014 Pham, T., Chin, T., Schindler, K., & Suter, D. (2014). Interacting geometric priors for robust multimodel fitting. IEEE Transactions on Image Processing, 23(10), 4601-4610.
DOI Scopus53 WoS44 Europe PMC7
2014 Quoc, H., Chin, T., Chojnacki, W., & Suter, D. (2014). Sampling minimal subsets with large spans for robust estimation. International Journal of Computer Vision, 106(1), 93-112.
DOI Scopus27 WoS27
2014 Yu, J., Eriksson, A., Chin, T., & Suter, D. (2014). An adversarial optimization approach to efficient outlier removal. Journal of Mathematical Imaging and Vision, 48(3), 451-466.
DOI Scopus5 WoS4
2014 Zaragoza, J., Chin, T. J., Tran, Q. H., Brown, M. S., & Suter, D. (2014). As-projective-as-possible image stitching with moving DLT. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7), 1285-1298.
DOI Scopus272 WoS214
2014 Zhong, B., Yao, H., Chen, S., Ji, R., Chin, T., & Wang, H. (2014). Visual tracking via weakly supervised learning from multiple imperfect oracles. Pattern Recognition, 47(3), 1395-1410.
DOI Scopus65 WoS58
2013 Wong, H., Chin, T., Yu, J., & Suter, D. (2013). Mode seeking over permutations for rapid geometric model fitting. Pattern Recognition, 46(1), 257-271.
DOI Scopus22 WoS20
2013 Wong, H., Chin, T., Yu, J., & Suter, D. (2013). A simultaneous sample-and-filter strategy for robust multi-structure model fitting. Computer Vision and Image Understanding, 117(12), 1755-1769.
DOI Scopus16 WoS15
2013 Sathyan, T., Chin, T., Arulampalam, S., & Suter, D. (2013). A multiple hypothesis tracker for multitarget tracking with multiple simultaneous measurements. IEEE Journal on Selected Topics in Signal Processing, 7(3), 448-460.
DOI Scopus106 WoS80
2012 Chin, T., Yu, J., & Suter, D. (2012). Accelerated hypothesis generation for multistructure data via preference analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(4), 625-638.
DOI Scopus110 WoS94 Europe PMC12
2012 Wang, H., Chin, T., & Suter, D. (2012). Simultaneously fitting and segmenting multiple-structure data with outliers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(6), 1177-1192.
DOI Scopus115 WoS112 Europe PMC11
2011 Chin, T., Suter, D., & Wang, H. (2011). Boosting histograms of descriptor distances for scalable multiclass specific scene recognition. Image and Vision Computing, 29(4), 241-250.
DOI Scopus7 WoS6
2009 Chin, T., You, Y., Coutrix, C., Lim, J., Chevallet, J., & Nigay, L. (2009). Mobile phone-based mixed reality: the Snap2Play game. Visual Computer, 25(1), 25-37.
DOI Scopus2
2008 Chin, T., & Suter, D. (2008). Out-of-sample extrapolation of learned manifolds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(9), 1547-1556.
DOI Scopus39 WoS27 Europe PMC3
2007 Chin, T., & Suter, D. (2007). Incremental kernel principal component analysis. IEEE Transactions on Image Processing, 16(6), 1662-1674.
DOI Scopus177 WoS136 Europe PMC23

Year Citation
2023 Wang, L., Gall, J., Chin, T. J., Sato, I., & Chellappa, R. (2023). Preface (Vol. 13846 LNCS).
2023 Wang, L., Gall, J., Chin, T. J., Sato, I., & Chellappa, R. (2023). Preface (Vol. 13842 LNCS).
2023 Wang, L., Gall, J., Chin, T. -J., Sato, I., & Chellappa, R. (Eds.) (2023). Computer Vision – ACCV 2022
16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part I (Vol. 13841 LNCS). Springer.
2023 Wang, L., Gall, J., Chin, T. -J., Sato, I., & Chellappa, R. (Eds.) (2023). Computer Vision – ACCV 2022
16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part I (Vol. 13841 LNCS). Springer.
2023 Wang, L., Gall, J., Chin, T. J., Sato, I., & Chellappa, R. (2023). Preface (Vol. 13845 LNCS).
2023 Wang, L., Gall, J., Chin, T. J., Sato, I., & Chellappa, R. (2023). Preface (Vol. 13844 LNCS).
2023 Wang, L., Gall, J., Chin, T. J., Sato, I., & Chellappa, R. (2023). Preface (Vol. 13843 LNCS).
2023 Wang, L., Gall, J., Chin, T. J., Sato, I., & Chellappa, R. (2023). Preface (Vol. 13847 LNCS).
2020 Garg, S., Sünderhauf, N., Dayoub, F., Morrison, D., Cosgun, A., Carneiro, G., . . . Milford, M. (2020). Semantics for Robotic Mapping, Perception and Interaction: A Survey (Vol. 8). United States: Now Publishers.
DOI
2017 Chin, T. -J., & Suter, D. (2017). The Maximum Consensus Problem Recent Algorithmic Advances. USA: Morgan & Claypool Publishers.

Year Citation
2026 Faulkner, R., Haub, L., Ratcliffe, S., & Chin, T. J. (2026). Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud Scenes. In Lecture Notes in Computer Science Vol. 16174 LNCS (pp. 1-15). Springer Nature Singapore.
DOI
2025 Lin, C. -J., Garg, S., Chin, T. -J., & Dayoub, F. (2025). Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. In 2025 IEEE International Conference on Robotics and Automation (ICRA) (pp. 8337-8343). Atlanta, GA, USA: IEEE.
DOI
2024 Nguyen, T. N. B., Doan, A. D., Cai, Z., & Chin, T. J. (2024). Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover. In Advances in Neural Information Processing Systems Vol. 37. Vancouver: Neural information processing systems foundation.
2024 Faulkner, R., Haub, L., Ratcliffe, S., Reid, I., & Chin, T. J. (2024). Semantic Segmentation on 3D Point Clouds with High Density Variations. In 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023 (pp. 212-222). Online: IEEE.
DOI Scopus1
2024 Yang, F. F., Sasdelli, M., & Chin, T. -J. (2024). Robust Fitting on a Gate Quantum Computer. In Lecture Notes in Computer Science Vol. 15059 (pp. 120-138). Milan, Italy: Springer Nature Switzerland.
DOI
2024 McLeod, S., Chng, C. K., Ono, T., Shimizu, Y., Hemmi, R., Holden, L., . . . Chin, T. J. (2024). Robust Perspective-n-Crater for Crater-based Camera Pose Estimation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 6760-6769). Seattle: IEEE.
DOI Scopus3 WoS3
2024 Elms, E., Latif, Y., Park, T. H., & Chin, T. -J. (2024). Event-based Structure-from-Orbit. In 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 19541-19550). WA, Seattle: IEEE COMPUTER SOC.
DOI Scopus5 WoS5
2024 Jawaid, M., Talak, R., Latif, Y., Carlone, L., & Chin, T. J. (2024). Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation. In IEEE International Conference on Intelligent Robots and Systems (pp. 4534-4541). Abu Dhabi, United Arab Emirates: IEEE.
DOI Scopus1
2023 Ng, Y., Latif, Y., Chin, T. -J., & Mahony, R. (2023). Asynchronous Kalman Filter for Event-Based Star Tracking. In L. Karlinsky, T. Michaeli, & K. Nishino (Eds.), Proceedings of Computer Vision ECCV Vol. 13801 LNCS (pp. 66-79). Tel Aviv, Israel: Springer Nature Switzerland.
DOI Scopus12
2023 McLeod, S., Meoni, G., Izzo, D., Mergy, A., Liu, D., Latif, Y., . . . Chin, T. -J. (2023). Globally Optimal Event-Based Divergence Estimation for Ventral Landing. In L. Karlinsky, T. Michaeli, & K. Nishino (Eds.), Proceedings, Part I Workshops of the 17th European Conference on Computer Vision (ECCV 2022), as published in Lecture Notes in Computer Science Vol. 13801 (pp. 3-20). Cham, Switzerland: Springer.
DOI Scopus7
2022 Doan, A. D., Sasdelli, M., Suter, D., & Chin, T. J. (2022). A Hybrid Quantum-Classical Algorithm for Robust Fitting. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2022) Vol. 2022-June (pp. 417-427). Online: IEEE.
DOI Scopus27 WoS22
2022 Chen, B., Chin, T. J., & Klimavicius, M. (2022). Occlusion-Robust Object Pose Estimation with Holistic Representation. In Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022 (pp. 2223-2233). Waikoloa, HI, USA: IEEE.
DOI Scopus21 WoS17
2022 Du, A., Chen, B., Chin, T. J., Law, Y. W., Sasdelli, M., Raja Segaran, R., & Campbell, D. (2022). Physical Adversarial Attacks on an Aerial Imagery Object Detector. In Proceedings 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022) (pp. 3798-3808). Online: IEEE.
DOI Scopus73 WoS44
2022 Sachdeva, R., Hammond, R., Bockman, J., Arthur, A., Smart, B., Craggs, D., . . . Reid, I. (2022). Autonomy and Perception for Space Mining. In 2022 International Conference on Robotics and Automation (ICRA) Vol. 2022-January (pp. 4087-4093). Philadelphia, PA, USA: IEEE.
DOI Scopus5 WoS5
2022 Liu, D., Parra, A., Latif, Y., Chen, B., Chin, T. J., & Reid, I. (2022). Asynchronous Optimisation for Event-based Visual Odometry. In Proceedings - IEEE International Conference on Robotics and Automation Vol. 2022-January (pp. 9432-9438). Philadelphia, PA, USA: IEEE.
DOI Scopus12 WoS9
2022 Chen, B., Bakhshi, A., Batista, G., Ng, B., & Chin, T. J. (2022). Update Compression for Deep Neural Networks on the Edge. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2022-June (pp. 3075-3085). New Orleans, LA, USA: IEEE.
DOI Scopus21 WoS14
2022 Zhang, E., Suter, D., Tennakoon, R., Chin, T. J., Bab-Hadiashar, A., Truong, G., & Gilani, S. Z. (2022). Maximum Consensus by Weighted Influences of Monotone Boolean Functions. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2022) Vol. 2022-June (pp. 8954-8962). Online: IEEE.
DOI Scopus3 WoS3
2021 Doan, D., Turmukhambetov, D., Latif, Y., Chin, T. J., & Bae, S. (2021). Learning to Predict Repeatability of Interest Points. In Proceedings - IEEE International Conference on Robotics and Automation Vol. 2021-May (pp. 10294-10301). online: IEEE.
DOI Scopus4 WoS3
2021 Chen, B., Liu, D., Chin, T. J., Rutten, M., Derksenv, D., Martens, M., . . . Izzo, D. (2021). Spot the GEO satellites: from dataset to Kelvins SpotGEO Challenge. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2021) (pp. 2086-2094). online: IEEE.
DOI Scopus15 WoS13
2021 Dung, H. A., Chen, B., & Chin, T. J. (2021). A spacecraft dataset for detection, segmentation and parts recognition. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 2012-2019). Nashville, TN, USA: IEEE.
DOI Scopus69 WoS52
2021 Liu, D., Parra Bustos, A., & Chin, T. J. (2021). Spatiotemporal Registration for Event-based Visual Odometry. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 4935-4944). online: IEEE.
DOI Scopus31
2021 Parra Bustos, A., Ch'ng, S., Chin, T., Eriksson, A. P., & Reid, I. D. (2021). Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vol. abs/2103.08292 (pp. 4296-4305). online: IEEE.
DOI Scopus13
2021 Sasdelli, M., & Chin, T. J. (2021). Quantum Annealing Formulation for Binary Neural Networks. In 2021 Digital Image Computing: Techniques and Applications (DICTA) Vol. abs/2107.02751 (pp. 1-10). online: IEEE.
DOI Scopus11 WoS4
2021 Sasdelli, M., Ajanthan, T., Chin, T. J., & Carneiro, G. (2021). A Chaos Theory Approach to Understand Neural Network Optimization. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2021) (pp. 1-10). online: IEEE.
DOI Scopus1
2021 Tennakoon, R., Suter, D., Zhang, E., Chin, T. J., & Bab-Hadiashar, A. (2021). Consensus Maximisation Using Influences of Monotone Boolean Functions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2021) (pp. 2865-2874). online: IEEE Xplore.
DOI Scopus10 WoS7
2020 Chin, T. J., Suter, D., Ch'ng, S. F., & Quach, J. (2020). Quantum Robust Fitting. In H. Ishikawa, C. -L. Liu, T. Pajdla, & J. Shi (Eds.), 15th Asian Conference on Computer Vision, ACCV 2020 Vol. 12622 (pp. 485-499). Switzerland: Springer.
2020 Chng, C. K., Parra Bustos, A., Chin, T. J., & Latif, Y. (2020). Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure.. In Proceedings of the 2020 Digital Image Computing Techniques and Applications (DICTA) (pp. 1-8). online: IEEE.
2020 Bagchi, S., & Chin, T. J. (2020). Event-based star tracking via multiresolution progressive hough transforms. In Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020 Vol. abs/1906.07866 (pp. 2132-2141). online: IEEE.
DOI Scopus29 WoS14
2020 Ch'ng, S. F., Sogi, N., Purkait, P., Chin, T. J., & Fukui, K. (2020). Resolving marker pose ambiguity by robust rotation averaging with clique constraints. In Proceedings of the International Conference on Robotics and Automation, as published in IEEE Xplore Vol. abs/1909.11888 (pp. 9680-9686). online: IEEE.
DOI Scopus14 WoS9
2020 Liu, D., Parra Bustos, Á., & Chin, T. J. (2020). Globally optimal contrast maximisation for event-based motion estimation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2020) (pp. 6348-6357). online: IEEE.
DOI Scopus50 WoS38
2020 Chen, B., Ting, K. M., & Chin, T. J. (2020). Anomaly detection via neighbourhood contrast. In Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), as published in Lecture Notes in Computer Science Vol. 12085 (pp. 647-659). Cham, Switzerland: Springer.
DOI
2020 Latif, Y., Doan, A. D., Chin, T. J., & Reid, I. (2020). SPRINT: Subgraph Place Recognition for INtelligent Transportation. In Proceedings of the 2020 IEEE International Conference on Robotics and Automation (pp. 5408-5414). online: IEEE.
DOI Scopus3 WoS3
2020 Purkait, P., Chin, T. J., & Reid, I. (2020). NeuRoRA: Neural Robust Rotation Averaging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12369 LNCS (pp. 137-154). Switzerland: Springer International Publishing.
DOI Scopus30
2019 Ch'ng, S. F., Khosravian Hemami, A., Doan, A., & Chin, T. J. (2019). Outlier-robust manifold pre-integration for INS/GPS fusion. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) (pp. 7489-7496). online: IEEE.
DOI Scopus13 WoS11
2019 Doan, D., Latif, Y., Chin, T. J., Liu, Y., Do, T. T., & Reid, I. (2019). Scalable place recognition under appearance change for autonomous driving. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 9318-9327). online: IEEE.
DOI Scopus62 WoS58
2019 Cai, Z., Chin, T. J., & Koltun, V. (2019). Consensus maximization tree search revisited. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2019-October (pp. 1637-1645). online: IEEE.
DOI Scopus22
2019 Chen, B., Cao, J., Parra Bustos, A., & Chin, T. (2019). Satellite pose estimation with deep landmark regression and nonlinear pose refinement. In Proceedings: 2019 International Conference on Computer Vision Workshops: ICCV 2019 (pp. 2816-2824). online: IEEE.
DOI Scopus178 WoS132
2019 Le, H., Eriksson, A., Milford, M., Do, T. T., Chin, T. J., & Suter, D. (2019). Non-smooth M-estimator for maximum consensus estimation. In British Machine Vision Conference 2018, BMVC 2018 (pp. 1-12). online: BMVA.
Scopus2
2019 Parra Bustos, A., Chin, T. J., Eriksson, A., & Reid, I. (2019). Visual SLAM: Why bundle adjust?. In Proceedings of the 2019 IEEE International Conference on Robotics and Automation (pp. 2385-2391). Montreal, Canada: IEEE.
DOI Scopus43 WoS32
2019 Chin, T. J., Bagchi, S., Eriksson, A., & Van Schaik, A. (2019). Star tracking using an event camera. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2019) Vol. 2019-June (pp. 1646-1655). online: IEEE.
DOI Scopus62 WoS39
2019 Doan, A. -D., Latif, Y., Chin, T., Liu, Y., Ch'ng, S., Do, T. -T., & Reid, I. D. (2019). Visual Localization under Appearance Change: A Filtering Approach.. In Proceedings of 2019 Digital Image Computing Techniques and Applications (DICTA) (pp. 254-261). online: IEEE.
DOI Scopus3
2018 Rubino, C., Del Bue, A., & Chin, T. J. (2018). Practical motion segmentation for urban street view scenes. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 1879-1886). Online: IEEE.
DOI Scopus6
2018 Eriksson, A., Olsson, C., Kahl, F., & Chin, T. J. (2018). Rotation Averaging and Strong Duality. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 127-135). Online: IEEE.
DOI Scopus89
2018 Zhang, Q., Chin, T. J., & Le, H. M. (2018). A Fast Resection-Intersection Method for the Known Rotation Problem. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3012-3021). Online: IEEE.
DOI Scopus8
2018 Chin, T. -J., Cai, Z., & Neumann, F. (2018). Robust fitting in computer vision: easy or hard?. In V. Ferrari, M. Herbert, C. Sminchisescu, & Y. Weiss (Eds.), ECCV: European Conference on Computer Vision Vol. abs/1802.06464 (pp. 715-730). Cham, Switzerland: Springer.
DOI Scopus4 WoS26
2018 Cai, Z., Chin, T., Le, H., & Suter, D. (2018). Deterministic consensus maximization with biconvex programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11216 LNCS (pp. 699-714). Switzerland: Springer Nature.
DOI Scopus9 WoS25
2018 Chin, T. -J., Cai, Z., & Neumann, F. (2018). Robust Fitting in Computer Vision: Easy or Hard?. In CoRR Vol. abs/1802.06464.
2017 Le, H., Chin, T., & Suter, D. (2017). RATSAC - Random tree sampling for maximum consensus estimation. In Y. Guo, H. Li, W. Cai, M. Murshed, Z. Wang, J. Gao, & D. Feng (Eds.), Proceedings DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications Vol. 2017-December (pp. 1-8). Sydney: IEEE.
DOI Scopus5
2017 Le, H., Chin, T. -J., & Suter, D. (2017). An exact penalty method for locally convergent maximum consensus. In Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Vol. 2017-January (pp. 379-387). Online: IEEE.
DOI Scopus32 WoS24
2017 Zhang, Q., Chin, T., & Suter, D. (2017). Quasiconvex Plane Sweep for Triangulation with Outliers. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2017-October (pp. 920-928). Venice, ITALY: IEEE.
DOI Scopus4 WoS3
2017 Marker, R., Chin, T., & Newsam, G. (2017). Efficient geometric matching with polar bounds for aligning star field images. In S. Singh, H. Kurniawati, & P. Pounds (Eds.), Proceedings of the Australasian Conference on Robotics and Automation 2016 Vol. 2016-December (pp. 185-193). Brisbane, QLD: ARAA.
Scopus1
2017 Zhang, Q., & Chin, T. (2017). An efficient meta-algorithm for triangulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10117 LNCS (pp. 148-161). Switzerland: Springer International Publishing AG.
DOI
2017 Khosravian, A., Chin, T., & Reid, I. (2017). A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. In Proceedings of the 2017 IEEE International Conference on Robotics and Automation (pp. 6495-6502). Singapore: IEEE.
DOI Scopus7
2017 Khosravian, A., Chin, T., Reid, I., & Mahony, R. (2017). A discrete-time attitude observer on SO(3) for vision and GPS fusion. In Proceedings of the 2017 IEEE International Conference on Robotics and Automation Vol. 0 (pp. 5688-5695). Singapore: IEEE.
DOI Scopus9
2016 Pham, T., Rezatofighi, S., Reid, I., & Chin, T. (2016). Efficient point process inference for large-scale object detection. In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) Vol. 2016-December (pp. 2837-2845). Las Vegas, NV: IEEE.
DOI Scopus16 WoS14
2016 Chin, T., Kee, Y., Eriksson, A., & Neumann, F. (2016). Guaranteed outlier removal with mixed integer linear programs. In Proceedings of the 29th IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016 (pp. 5858-5866). Las Vegas, NV: IEEE.
DOI Scopus41 WoS33
2016 Eriksson, A., Bastian, J., Chin, T., & Isaksson, M. (2016). A consensus-based framework for distributed Bundle Adjustment. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 1754-1762). Las Vegas, NV, USA: IEEE.
DOI Scopus65
2016 Le, H., Chin, T., & Suter, D. (2016). Conformal surface alignment with optimal Möbius search. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops Vol. 2016-December (pp. 2507-2516). Las Vegas, NV: IEEE.
DOI Scopus7 WoS6
2015 Ackermann, H., Scheuermann, B., Chin, T., & Rosenhahn, B. (2015). Randomly walking can get you lost: Graph segmentation with unknown edge weights. In X. -C. Tai, E. Bae, T. Chan, & M. Lysaker (Eds.), Proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition Vol. 8932 (pp. 450-463). Hong Kong, China: Springer-Verlag Berlin.
DOI
2015 Eriksson, A., Isaksson, M., & Chin, T. (2015). High breakdown bundle adjustment. In Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision (pp. 310-317). Waikoloa, HI: IEEE.
DOI Scopus3 WoS3
2015 Eriksson, A., Pham, T., Chin, T., & Reid, I. (2015). The k-support norm and convex envelopes of cardinality and rank. In Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 3349-3357). Boston, MA: IEEE.
DOI Scopus16 WoS12
2015 Chin, T., Purkait, P., Eriksson, A., & Suter, D. (2015). Efficient globally optimal consensus maximisation with tree search. In Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 2413-2421). Boston, MA: IEEE.
DOI Scopus55 WoS48
2015 Liu, W., & Chin, T. (2015). Smooth Globally Warp Locally: Video Stabilization using Homography Fields. In Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-8). Adelaide, Australia: IEEE.
DOI Scopus7
2015 Bustos, A., & Chin, T. (2015). Guaranteed outlier removal for rotation search. In Proceedings of the 2015 IEEE International Conference on Computer Vision Vol. 2015 International Conference on Computer Vision, ICCV 2015 (pp. 2165-2173). Santiago, Chile: IEEE.
DOI Scopus28 WoS24
2014 Chin, T., Parra Bustos, A., Brown, M., & Suter, D. (2014). Fast rotation search for real-time interactive point cloud registration. In I3D '14 - Symposium on Interactive 3D Graphics and Games (pp. 55-62). San Francisco, CA, USA: ACM.
DOI Scopus9
2014 Purkait, P., Chin, T., Ackermann, H., & Suter, D. (2014). Clustering with hypergraphs: the case for large hyperedges. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision - ECCV 2014, 13th European Conference, Zurich, Switzerland, September 6-12, 2014: Proceedings, Part IV Vol. 8692 LNCS (pp. 672-687). Zurich, Switzerland: Springer International Publishing.
DOI Scopus26 WoS22
2014 Chin, T. J., & Tetlow, M. (2014). Robust attitude estimation to support space monitoring using nano-satellites. In AIAA Space 2014 Conference and Exposition.
Scopus3
2014 Bustos, Á., Chin, T., & Suter, D. (2014). Fast rotation search with stereographic projections for 3D registration. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3930-3937). Columbus, OH: IEEE.
DOI Scopus51 WoS40
2013 Gao, J., Li, Y., Chin, T., & Brown, M. (2013). Seam-driven image stitching. In Proceedings of Eurographics 2013, the 34th Annual Conference of the European Association for Computer Graphics (pp. 1-4). CD: The Eurographics Association.
2013 Liu, W., Chin, T., Carneiro, G., & Suter, D. (2013). Point correspondence validation under unknown radial distortion. In Proceedings of the IEEE2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013 (pp. 1-8). USA: IEEE.
DOI Scopus2
2013 Carneiro, G., Liao, Z., & Chin, T. (2013). Closed-loop deep vision. In Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013 (pp. 1-8). USA: IEEE.
DOI
2013 Sathyan, T., Chin, T., Suter, D., & Hedley, M. (2013). Improved wireless tracking using radio frequency and video sensors. In Proceedings of the16th International Conference of Information Fusion, FUSION 2013 (pp. 1442-1449). Online: IEEE.
Scopus3 WoS1
2013 Hernandez Zaragoza, J., Chin, T., Brown, M., & Suter, D. (2013). As-projective-as-possible image stitching with moving DLT. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 2339-2346). United States of America: IEEE.
DOI Scopus523 WoS395
2013 Dell'Agnello, D., Carneiro, G., Chin, T., Castellano, G., & Fanelli, A. (2013). Fuzzy clustering based encoding for visual object classification. In Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 (pp. 1439-1444). USA: IEEE.
DOI Scopus4 WoS2
2012 Zhou, X., Li, X., Chin, T., & Suter, D. (2012). Superpixel-driven level set tracking. In Proceedings of the IEEE 19th International Conference on Image Processing, ICIP 2012 (pp. 409-412). USA: IEEE.
DOI Scopus12 WoS7
2012 Qin, T., Zhong, B., Chin, T., & Wang, H. (2012). Matting-driven online learning of Hough forests for object tracking. In Proceedings of the IEEE 21st International Conference on Pattern Recognition, ICPR 2012 (pp. 2488-2491). USA: IEEE.
Scopus3
2012 Tran, Q., Chin, T., Carneiro, G., Brown, M., & Suter, D. (2012). In defence of RANSAC for outlier rejection in deformable registration. In Proceedings of the12th European Conference on Computer Vision, ECCV 2012 Vol. 7575 LNCS (pp. 274-287). Germany: Springer-Verlag.
DOI Scopus58 WoS51
2012 Zhou, X., Li, X., Chin, T., & Suter, D. (2012). Adaptive human silhouette reconstruction based on the exploration of temporal information. In Proceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 (pp. 1005-1008). USA: IEEE.
DOI Scopus1 WoS1
2012 Pham, T., Chin, T., Yu, J., & Suter, D. (2012). The random cluster model for robust geometric fitting. In Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012 (pp. 710-717). USA: IEEE.
DOI Scopus30 WoS16
2011 Yu, J., Eriksson, A., Chin, T., & Suter, D. (2011). An adversarial optimization approach to efficient outlier removal. In 2011 IEEE International Conference on Computer Vision (pp. 399-406). 345 E 47TH ST, NEW YORK, NY 10017 USA: IEEE.
DOI Scopus19 WoS9
2011 Wong, H., Chin, T., Yu, J., & Suter, D. (2011). Dynamic and hierarchical multi-structure geometric model fitting. In Proceedings of the 2011 IEEE International Conference on Computer Vision (pp. 1044-1051). USA: IEEE.
DOI Scopus139 WoS107
2011 Pham, T., Chin, T., Yu, J., & Suter, D. (2011). Simultaneous sampling and multi-structure fitting with adaptive reversible jump MCMC. In Proceedings of the 25th Annual Conference on Neural Information Processing Systems (pp. 1-9). Spain: NIPS Foundation.
Scopus16
2011 Yu, J., Chin, T., & Suter, D. (2011). A global optimization approach to robust multi-model fitting. In Proceedings of 2011 IEEE Conferencec on Computer Vision and Pattern Recognition (pp. 2041-2048). 345 E 47TH ST, NEW YORK, NY 10017 USA: IEEE.
DOI Scopus57 WoS13
2010 Li, L., Wang, H., Chin, T., Suter, D., & Zhang, S. (2010). Retrieving 3D CAD models using 2D images with optimized weights. In Proceedings of 2010 3rd International Congress on Image and Signal Processing, CISP 2010 Vol. 4 (pp. 1586-1589). USA: IEEE.
DOI Scopus10
2010 Chin, T., Suter, D., & Wang, H. (2010). Multi-structure model selection via kernel optimisation. In Proceedings of 2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 3586-3593). 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA: IEEE COMPUTER SOC.
DOI Scopus20 WoS15
2010 Wang, H., Chin, T., & Suter, D. (2010). Visual localization and segmentation based on foreground/background modeling. In Proceedings of 2010 IEEE International Conference on Acoustics, speech and signal processing (pp. 1-4). USA: IEEE.
DOI Scopus2
2010 Wong, H., Chin, T., Yu, J., & Suter, D. (2010). Efficient multi-structure robust fitting with incremental top-k lists comparison. In Proceedings of The 10th Asian conference on computer vision (ACCV 2010) Vol. 6495 LNCS (pp. 1-12). www: Springer.
DOI Scopus7 WoS1
2010 Chin, T., Yu, J., & Suter, D. (2010). Accelerated hypothesis generation for multi-structure robust fitting. In Proceedings of ECCV 2010 Vol. 6315 (pp. 533-546). Germany: Springer-Verlag Berlin.
DOI Scopus32 WoS28
2009 Chin, T., & Suter, D. (2009). Keypoint induced distance profiles for visual recognition. In Proceedings of the 2009 Conference on Computer Vision & Recognition (pp. 1239-1246). USA: IEEE.
DOI Scopus1
2009 Chin, T., Wang, H., & Suter, D. (2009). Robust Fitting of Multiple Structures: The Statistical Learning Approach. In Proceedings of The Twelfth IEEE International Conference on Computer Vision (pp. 413-420). USA: IEEE.
DOI Scopus99 WoS73
2009 Chin, T., Wang, H., & Suter, D. (2009). The ordered residual kernel for robust motion subspace clustering. In Proceedings of NIPS 2009 (pp. 333-342). online: NIPS.
Scopus34
2008 Chin, T., You, Y., Coutrix, C., Lim, J., Chevallet, J., & Nigay, L. (2008). Snap2Play: A mixed-reality game based on scene identification. In Advances in Multimedia Modeling. Proceedings of the 14th International Multimedia Modeling Conference, 2008, Kyoto, Japan. Vol. 4903 LNCS (pp. 220-229). Berlin: Springer-Verlag.
DOI Scopus4
2008 Chin, T., Goh, H., & Lim, J. (2008). Using Densely Recorded Scenes for Place Recognition. In Proceedings of the 33rd IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, Las Vegas, Nevada, USA. (pp. 2101-2104). Online: IEEE.
DOI Scopus3
2008 Chin, T., Goh, H., & Lim, J. (2008). Boosting Descriptors Condensed from Video Sequences for Place Recognition. In Proceedings of the CVPR Workshop on Visual Localization for Mobile Platforms (VLMP), 2008, Anchorage, Alaska, USA. (pp. 1-8). Online: IEEE.
DOI Scopus6
2008 You, Y., Chin, T., Lim, J., Chevallet, J., Coutrix, C., & Nigay, L. (2008). Deploying and evaluating a mixed reality mobile treasure hunt: Snap2Play. In MobileHCI 2008: Proceedings of the 10th International Conference on Mobile Human Computer Interaction, 2-5 September, 2008, Amsterdam, The Netherlands. (pp. 5 pages). New York: ACM Press.
DOI Scopus11
2008 Chin, T., Goh, H., & Tan, N. (2008). Exact Integral Images at Generic Angles for 2D Barcode Detection. In Proceedings of the 19th International Conference on Pattern Recognition (ICPR), 2008, Tampa, Florida, USA. (pp. 1-4). Online: IEEE.
DOI Scopus9
2007 Chin, T., Wang, L., Schindler, K., & Suter, D. (2007). Extrapolating learned manifolds for human activity recognition. In Proceedings of the 14th IEEE International Conference on Image Processing, 2007, San Antonio, Texas, USA. Vol. 1 (pp. 381-384). Online: IEEE.
DOI Scopus16 WoS8
2006 Chin, T., & Suter, D. (2006). A new distance criterion for face recognition using image sets. In P. Narayanan, S. Nayar, & H. Shum (Eds.), Computer Vision - ACCV 2006: 7th Asian Conference on Computer Vision Vol. 3851 LNCS (pp. 549-558). Berlin: Springer-Verlag.
DOI Scopus4 WoS2
2006 Chin, T., Schindler, K., & Suter, D. (2006). Incremental Kernel SVD for Face Recognition with Image Sets. In Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, 2006, Southampton, U.K. Vol. 2006 (pp. 461-466). Online: IEEE.
DOI Scopus57 WoS36
2006 Faggian, N., Paplinski, A., & Chin, T. (2006). Face Recognition from Video using Active Appearance Model Segmentation. In Proceedings of the 18th International Conference on Pattern Recognition, 2006, Hong Kong. Vol. 1 (pp. 287-290). Online: IEEE.
DOI Scopus11
2006 Chin, T., & Suter, D. (2006). Incremental Kernel PCA for Efficient Non-linear Feature Extraction. In Proceedings of the 17th British Machine Vision Conference, 2006, Edinburgh, U.K. Vol. 3 (pp. 939-948). Online: The british Machine Vision Association.
Scopus16
2006 Chin, T., & Suter, D. (2006). Improving the Speed of Kernel PCA on Large Scale Datasets. In Proceedings of the IEEE International Conference on Advanced Video and Signal based Surveillance, 2006, Sydney, NSW, Australia. (pp. 1-6). Online: IEEE.
DOI Scopus6
2005 Tangkuampien, T., & Chin, T. (2005). Locally Linear Embedding for Markerless Human Motion Capture using Multiple Cameras. In Proceedings of Digital Image Computing: Techniques and Applications, 2005, Cairns, Queensland, Australia. (pp. 1-8). Online: IEEE.
DOI
2005 Chin, T., U, J., Schindler, K., & Suter, D. (2005). Face Recognition from Video by Matching Image Sets. In Proceedings of Digital Image Computing: Techniques and Applications, 2005, Cairns, Queensland, Australia. Vol. 2005 (pp. 1-7). Online: IEEE.
DOI Scopus11
2005 Tangkuampien, T., & Chin, T. J. (2005). Locally linear embedding for markerless human motion capture using multiple cameras. In Proceedings of the Digital Imaging Computing Techniques and Applications Dicta 2005 Vol. 2005 (pp. 498-505). IEEE.
DOI Scopus8

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Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor Optimisation of Superconducting Devices via Machine Learning Techniques Doctor of Philosophy Doctorate Full Time Mr Jonathan Luka Marenkovic
2025 Co-Supervisor Multimodal Action Quality Assessment Using Cameras and Bodyworn Sensors Doctor of Philosophy Doctorate Full Time Mr Duc Duy Nguyen
2025 Principal Supervisor Vision-based navigation for space exploration with machine learning Doctor of Philosophy Doctorate Full Time Miss Sarah Joan Margaret Dickinson
2025 Co-Supervisor 3D Scene Understanding and Change Tracking Doctor of Philosophy Doctorate Full Time Mr Chun-Jung Lin
2025 Principal Supervisor Foundation Deep Learning Models for Hyperspectral Imaging on Resource Contrained Space Platforms Doctor of Philosophy Doctorate Full Time Mr Adrian Chan
2025 Principal Supervisor Vision-based navigation for space exploration with machine learning Doctor of Philosophy Doctorate Full Time Miss Sarah Joan Margaret Dickinson
2025 Principal Supervisor Foundation Deep Learning Models for Hyperspectral Imaging on Resource Contrained Space Platforms Doctor of Philosophy Doctorate Full Time Mr Adrian Chan
2025 Co-Supervisor 3D Scene Understanding and Change Tracking Doctor of Philosophy Doctorate Full Time Mr Chun-Jung Lin
2025 Co-Supervisor Optimisation of Superconducting Devices via Machine Learning Techniques Doctor of Philosophy Doctorate Full Time Mr Jonathan Luka Marenkovic
2025 Co-Supervisor Multimodal Action Quality Assessment Using Cameras and Bodyworn Sensors Doctor of Philosophy Doctorate Full Time Mr Duc Duy Nguyen
2024 Principal Supervisor Close Proximity space domain awareness onboard satellite systems Doctor of Philosophy Doctorate Full Time Mr Ethan Elms
2024 Principal Supervisor Neuromorphic Algorithms for Robust Fitting Doctor of Philosophy Doctorate Full Time Ms Tam nb Nguyen
2024 Principal Supervisor Physical adversarial attacks against machine learning models for satellite imagery Doctor of Philosophy Doctorate Full Time Mr Harrison Taylor Bagley
2024 External Supervisor Physical adversarial attacks against machine learning models for satellite imagery Doctor of Philosophy Doctorate Full Time Mr Isar Lemeire
2024 Principal Supervisor Physical adversarial attacks against machine learning models for satellite imagery Doctor of Philosophy Doctorate Full Time Mr Harrison Taylor Bagley
2024 Principal Supervisor Neuromorphic Algorithms for Robust Fitting Doctor of Philosophy Doctorate Full Time Ms Tam nb Nguyen
2024 Principal Supervisor Close Proximity space domain awareness onboard satellite systems Doctor of Philosophy Doctorate Full Time Mr Ethan Elms
2023 Principal Supervisor Domain Adaptation for Monocular Spacecraft Pose Estimation Doctor of Philosophy Doctorate Full Time Mr Mohsi Jawaid
2023 Principal Supervisor Artificial Intelligence for Space Doctor of Philosophy Doctorate Full Time Mr Anh Vu Nguyen
2023 Principal Supervisor Domain Adaptation for Monocular Spacecraft Pose Estimation Doctor of Philosophy Doctorate Full Time Mr Mohsi Jawaid
2022 Principal Supervisor Enhancing Mars rovers using AI-enabled robotic vision Doctor of Philosophy Doctorate Full Time Mr Lachlan William Holden
2022 Principal Supervisor Onboard Machine Learning for Intelligent Satellites Doctor of Philosophy Doctorate Part Time Mr William John Meakin
2022 Co-Supervisor Bio-inspired algorithms for stochastic multi-component problems Doctor of Philosophy Doctorate Full Time Mr Thilina Pathirage Don
2022 Principal Supervisor Artificial Intelligence for Space Doctor of Philosophy Doctorate Full Time Mr Anh Vu Nguyen
2022 Principal Supervisor Enhancing Mars rovers using AI-enabled robotic vision Doctor of Philosophy Doctorate Full Time Mr Lachlan William Holden
2022 Principal Supervisor Onboard Machine Learning for Intelligent Satellites Doctor of Philosophy Doctorate Part Time Mr William John Meakin
2022 Co-Supervisor Bio-inspired algorithms for stochastic multi-component problems Doctor of Philosophy Doctorate Full Time Mr Thilina Pathirage Don
2021 Principal Supervisor Semantic Understanding of 3D Point Clouds Doctor of Philosophy Doctorate Full Time Mr Ryan James Faulkner
2021 Principal Supervisor Realisation of Deep Learning Algorithms and Computer Vision on Quantum Computers Doctor of Philosophy Doctorate Full Time Ms Fengyi Yang
2021 Principal Supervisor Semantic Understanding of 3D Point Clouds Doctor of Philosophy Doctorate Full Time Mr Ryan James Faulkner
2021 Principal Supervisor Realisation of Deep Learning Algorithms and Computer Vision on Quantum Computers Doctor of Philosophy Doctorate Full Time Ms Fengyi Yang
2020 Principal Supervisor Computer Vision and Machine Learning for Navigation and Planning Doctor of Philosophy Doctorate Full Time Mr Sam Bahrami
2018 Principal Supervisor Event Based Cameras for Space Surveillance Doctor of Philosophy Doctorate Part Time Mr Samya Bagchi
2018 Principal Supervisor Event Based Cameras for Space Surveillance Doctor of Philosophy Doctorate Part Time Mr Samya Bagchi

Date Role Research Topic Program Degree Type Student Load Student Name
2021 - 2025 Principal Supervisor Vision-Based Pose and Motion Estimation for Planetary Missions Doctor of Philosophy Doctorate Full Time Ms Sofia Ana McLeod
2020 - 2025 Principal Supervisor Satellite-Borne Machine Learning for Earth Observation: Adversarial Robustness and Domain Gap Doctor of Philosophy Doctorate Full Time Mr Andrew Patrick Du
2020 - 2025 Co-Supervisor An Evaluation of Quantum Machine Learning Algorithms for Automating Quantum Circuit Design Master of Philosophy Master Full Time Mr Sicheng Jian
2019 - 2023 Principal Supervisor Mathematical Optimisation for Vision-based Problems in Space Domain
Awareness		 Doctor of Philosophy Doctorate Full Time Mr Chee Kheng Chng
2018 - 2022 Principal Supervisor Scalable Life-long Visual Place Recognition Doctor of Philosophy Doctorate Full Time Mr Dzung Anh Doan
2018 - 2022 Principal Supervisor Motion Estimation Using an Event Camera Doctor of Philosophy Doctorate Full Time Mr Daqi Liu
2017 - 2021 Principal Supervisor Manifold Optimization for Robotic Perception Doctor of Philosophy Doctorate Full Time Ms Shin Fang Ch'ng
2017 - 2021 Co-Supervisor Object-centric Mapping Doctor of Philosophy Doctorate Full Time Mr Kejie Li
2016 - 2020 Principal Supervisor Consensus Maximization: Theoretical Analysis and New Algorithms Doctor of Philosophy Doctorate Full Time Mr Zhipeng Cai
2015 - 2018 Principal Supervisor Robust and Large-Scale Quasiconvex Programming in Structure-from-Motion Doctor of Philosophy Doctorate Full Time Mr Qianggong Zhang
2014 - 2016 Principal Supervisor Maximum Consensus with Mixed Integer Linear Programming Master of Philosophy Master Full Time Mr Yang Heng Kee
2014 - 2018 Co-Supervisor New Algorithmic Developments in Maximum Consensus Robust Fitting Doctor of Philosophy Doctorate Full Time Mr Huu Minh Le
2013 - 2017 Co-Supervisor Methods for Understanding and Improving Deep Learning Classification Models Doctor of Philosophy Doctorate Full Time Dr Zhibin Liao
2013 - 2016 Co-Supervisor Medical Image Segmentation Combining Level Set Method and Deep Belief Networks Doctor of Philosophy Doctorate Full Time Mr Tuan Anh Ngo
2013 - 2017 Principal Supervisor Moving Least Squares Registration in Computer Vision: New Applications and Algorithms Doctor of Philosophy Doctorate Full Time Mr Xiang Liu
2013 - 2016 Co-Supervisor Automated Detection, Segmentation and Classification of Masses from Mammograms using Deep Learning Doctor of Philosophy Doctorate Full Time Mr Neeraj Dhungel
2012 - 2016 Co-Supervisor Robust Rotation Search in Computer Vision Doctor of Philosophy Doctorate Full Time Dr Alvaro Joaquin Parra Bustos
2011 - 2014 Principal Supervisor Robust Parameter Estimation in Computer Vision: Geometric Fitting and Deformable Registration Doctor of Philosophy Doctorate Full Time Mr Quoc Huy Tran
2011 - 2014 Principal Supervisor As-Projective-As-Possible Image Stitching with Moving DLT Doctor of Philosophy Doctorate Full Time Mr Julio Cesar Hernandez Zaragoza
2010 - 2014 Co-Supervisor Structured Output Prediction and Binary Code Learning in Computer Vision Doctor of Philosophy Doctorate Full Time Dr Guosheng Lin
2010 - 2014 Principal Supervisor Robust Estimation in Computer Vision: Optimisation Methods and Applications Doctor of Philosophy Doctorate Full Time Dr Trung Thanh Pham
2009 - 2013 Co-Supervisor A Preference Analysis Approach to Robust Geometric Model Fitting in Computer Vision Doctor of Philosophy Doctorate Full Time Miss Hoi Wong

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