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Dr Tat-Jun Chin

Tat-Jun Chin
Associate Professor
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences

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Dr Tat-Jun Chin

Eligible to supervise Masters and PhD — email supervisor to discuss availability.

I work in the area of Computer Vision and Machine Learning, focussing on developing efficient algorithms for large scale optimisation problems. My research enables applications such as 3D mapping, augmented reality, autonomous robots and self-driving cars.

Please see my homepage for more information: http://cs.adelaide.edu.au/~tjchin

Appointments

Date Position Institution name
2008 Associate Professor The University of Adelaide

Journals

Year Citation
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
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 Scopus1
2017 Parra Bustos, A., & Chin, T. (2017). Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence.
DOI
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 Scopus33 WoS29 Europe PMC1
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 Scopus10 WoS10
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 Scopus8 WoS7
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 Scopus2 WoS2
2014 Zaragoza, J., Chin, T., Tran, Q., Brown, M., & 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 Scopus69 WoS54
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 Scopus39 WoS32
2013 Wong, H., Chin, T. J., Yu, J., & Suter, D. (2013). Mode seeking over permutations for rapid geometric model fitting. Pattern Recognition, 46(1), 257-271.
DOI Scopus8 WoS7
2013 Wong, H., Chin, T. J., 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 Scopus8 WoS9
2013 Sathyan, T., Chin, T. J., 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 Scopus46 WoS31
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 Scopus55 WoS50 Europe PMC7
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 Scopus56 WoS54 Europe PMC4
2011 Chin, T. J., 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 Scopus5 WoS4
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
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 Scopus26 WoS18 Europe PMC1
2007 Chin, T., & Suter, D. (2007). Incremental kernel principal component analysis. IEEE Transactions on Image Processing, 16(6), 1662-1674.
DOI Scopus104 WoS72 Europe PMC16

Books

Year Citation
2017 Chin, T. -J., & Suter, D. (2017). The Maximum Consensus Problem Recent Algorithmic Advances. USA: Morgan & Claypool Publishers.

Conference Papers

Year Citation
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.), DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications Vol. 2017-December (pp. 1-8). Sydney, AUSTRALIA: IEEE.
DOI
2016 Liu, W., & Chin, T. (2016). 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 Scopus2
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-January (pp. 2837-2845). Las Vegas, NV: IEEE.
DOI Scopus5 WoS2
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-January (pp. 1754-1762). Las Vegas, NV, USA: IEEE.
DOI Scopus1
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-January (pp. 2507-2516). Las Vegas, NV: IEEE.
DOI Scopus1 WoS1
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 Scopus1
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 Scopus2 WoS2
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 Scopus12 WoS11
2014 Chin, T. J., Parra Bustos, A., Brown, M. S., & 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 Scopus1
2014 Purkait, P., Chin, T. J., 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 Scopus16 WoS8
2014 Chin, T., & Tetlow, M. (2014). Robust attitude estimation to support space monitoring using nano-satellites. In AIAA SPACE 2014 Conference and Exposition.
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 Scopus12 WoS9
2013 Gao, J., Li, Y., Chin, T. J., & 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. J., 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 Scopus1
2013 Carneiro, G., Liao, Z., & Chin, T. J. (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. J., 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 Scopus69 WoS46
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 Scopus2
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 WoS6
2012 Qin, T., Zhong, B., Chin, T. J., & 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.
Scopus1
2012 Tran, Q., Chin, T. J., 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 Scopus27 WoS13
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 Scopus22 WoS10
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 Scopus15 WoS6
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 Scopus48 WoS23
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.
Scopus6
2011 Yu, J., Chin, T. J., & 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 Scopus33
2010 Li, L., Wang, H., Chin, T. J., 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 Scopus5
2010 Chin, T. J., 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 Scopus10 WoS8
2010 Wang, H., Chin, T. J., & 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
2010 Wong, H., Chin, T. J., 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. J., 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 Scopus17 WoS12
2009 Chin, T., & Suter, D. (2009). Keypoint induced distance profiles for visual recognition. In Proceedings of the 2009 Conference on Computer Vision & Recognition Vol. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1239-1246). USA: IEEE.
DOI Scopus1
2009 Chin, T. J., 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 Scopus61 WoS36
2009 Chin, T. J., Wang, H., & Suter, D. (2009). The ordered residual kernel for robust motion subspace clustering. In Proceedings of NIPS 2009 (pp. 333-342). online: NIPS.
Scopus21
2008 Chin, T. J., You, Y., Coutrix, C., Lim, J. H., Chevallet, J. P., & 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. (pp. 220-229). Berlin: Springer-Verlag.
DOI
2008 Chin, T. J., Goh, H., & Lim, J. H. (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
2008 Chin, T. J., Goh, H., & Lim, J. H. (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
2008 You, Y., Chin, T. J., Lim, J. H., Chevallet, J. P., 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
2008 Chin, T. J., Goh, H., & Tan, N. M. (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
2007 Chin, T. J., 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 Scopus14 WoS5
2006 Chin, T. J., & Suter, D. (2006). A new distance criterion for face recognition using image sets. In P. J. Narayanan, S. K. Nayar, & H. Y. 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. J., 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 Scopus44 WoS23
2006 Faggian, N., Paplinski, A., & Chin, T. J. (2006). Face Recognition from Video using Active Appearance Model Segmentation. In Proceedings of the 18th International Conference on Pattern Recognition, 2006, Hong Kong. (pp. 287-290). Online: IEEE.
DOI
2006 Chin, T. J., & 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. (pp. 939-948). Online: The british Machine Vision Association.
Scopus12
2006 Chin, T. J., & 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 Scopus5
2005 Tangkuampien, T., & Chin, T. J. (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. J., 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 Scopus7

Conference Items

  • T.-J. Chin, D. Suter, and M. Tetlow. “Space-based space surveillance with robust computer vision algorithms", ARC Linkage Project. AU$275,000, 2016-2018.
  • T.-J. Chin, and D. Suter, “Optimal robust fitting under the framework of LP-type methods", ARC Discovery Project, AU$268,000, 2016-2018.
  • T.-J. Chin, “Quantifying performance of image processing for optical space situational awareness data", DSTG Research Agreement, AU$24,200, 2016.
  • T.-J. Chin, “Guaranteed outlier removal for point cloud registration", DSTG Research Agreement, AU$15,000, 2016.
  • I. D. Reid, T.-J. Chin, and J. Howarth, “Visual sensing for localisation and mapping in mining", ARC Linkage Project, AU$220,000,  2014-2016.
  • Chief Investigator, “ARC Centre of Excellence for Robotic Vision". AU$25.6M, 2014-2020. 
  • D. Suter, T.-J. Chin, A. Bab-Hadiashar, and P. Chen, “Improved image analysis: maximised statistical use of geometry/shape constraints", ARC Discovery Project, AU$330,000, 2013-2015.
  • G. Carneiro and T.-J. Chin, “Automated reasoning under uncertainty for visual object recognition and classification", Regione Puglia - South Australia Awards for Research Collaboration, 2012-2013.
  • Advanced Algorithms
  • Algorithm Design and Data Structures
  • Artificial Intelligence
  • Computer Vision
  • Data Structures and Algorithms
  • Introduction to Geometric Algorithms
  • Introduction to Software Engineering
  • Object Oriented Programming
  • Systems Programming in C
  • Scientific Computing

Current Higher Degree by Research Supervision (University of Adelaide)

Date Role Research Topic Program Degree Type Student Load Student Name
2018 Principal Supervisor Computer Visions Doctor of Philosophy Doctorate Full Time Mr Dung Anh Doan
2018 Principal Supervisor Event Based Cameras for Space Surveillance Doctor of Philosophy Doctorate Full Time Mr Samya Bagchi
2017 Principal Supervisor Vehicle Detection Problem with Convolutional neural Network (CNN) Doctor of Philosophy Doctorate Full Time Ms Shin Fang Ch'ng
2017 Co-Supervisor Semantic Scene Understanding in Robotic vision Doctor of Philosophy Doctorate Full Time Mr Kejie Li
2016 Co-Supervisor Registration of Image Data Doctor of Philosophy Doctorate Full Time Mr Zhipeng Cai

Past Higher Degree by Research Supervision (University of Adelaide)

Date Role Research Topic Program Degree Type Student Load Student Name
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 Mr 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
Position
Associate Professor
Phone
83136188
Campus
North Terrace
Building
Ingkarni Wardli, floor 5
Room Number
5 46
Org Unit
School of Computer Science

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