Dr Tat-Jun Chin

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

Connect with me

Dr Tat-Jun Chin

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.
10.1109/TPAMI.2016.2631531
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.
10.1109/TPAMI.2013.2296310
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.
10.1007/s11263-013-0643-y
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.
10.1109/TIP.2014.2346025
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.
10.1007/s10851-013-0418-7
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.
10.1109/TPAMI.2013.247
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.
10.1016/j.patcog.2013.10.002
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.
10.1109/JSTSP.2013.2258322
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.
10.1016/j.cviu.2013.08.007
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.
10.1016/j.patcog.2012.07.005
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.
10.1109/TPAMI.2011.216
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.
10.1109/TPAMI.2011.169
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.
10.1016/j.imavis.2010.11.002
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.
10.1007/s00371-008-0283-3
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.
10.1109/TPAMI.2007.70813
2007 Chin, T. & Suter, D. (2007). Incremental kernel principal component analysis. IEEE Transactions on Image Processing, 16, 6, 1662-1674.
10.1109/TIP.2007.896668

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
2016 Eriksson, A., Bastian, J., Chin, T. & Isaksson, M. (2016). A consensus-based framework for distributed Bundle Adjustment. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016). Las Vegas, NV, USA.
10.1109/CVPR.2016.194
2016 Pham, T., Rezatofighi, S., Reid, I. & Chin, T. (2016). Efficient point process inference for large-scale object detection. 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016). Las Vegas, NV.
10.1109/CVPR.2016.310
2016 Liu, W. & Chin, T. (2016). Smooth globally warp locally: video stabilization using homography fields. 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015). Adelaide, Australia.
10.1109/DICTA.2015.7371309
2016 Le, H., Chin, T. & Suter, D. (2016). Conformal surface alignment with optimal Möbius search. 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2016). Las Vegas, NV.
10.1109/CVPR.2016.275
2015 Ackermann, H., Scheuermann, B., Chin, T. & Rosenhahn, B. (2015). Randomly walking can get you lost: Graph segmentation with unknown edge weights. 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2015). X. -. C. Tai, E. Bae, T. Chan & M. Lysaker (Eds.) Hong Kong, China.
10.1007/978-3-319-14612-6_33
2015 Bustos, A. & Chin, T. (2015). Guaranteed outlier removal for rotation search. 2015 IEEE International Conference on Computer Vision (ICCV 2015). Santiago, Chile.
10.1109/ICCV.2015.250
2015 Chin, T., Purkait, P., Eriksson, A. & Suter, D. (2015). Efficient globally optimal consensus maximisation with tree search. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015). Boston, MA.
10.1109/CVPR.2015.7298855
2015 Eriksson, A., Isaksson, M. & Chin, T. (2015). High breakdown bundle adjustment. 2015 IEEE Winter Conference on Applications of Computer Vision (WACV 2015). Waikoloa, HI.
10.1109/WACV.2015.48
2014 Purkait, P., Chin, T. J., Ackermann, H. & Suter, D. (2014). Clustering with hypergraphs: the case for large hyperedges. 13th European Conference on Computer Vision (ECCV 2014). D. Fleet, T. Pajdla, B. Schiele & T. Tuytelaars (Eds.) Zurich, Switzerland.
10.1007/978-3-319-10593-2_44
2014 Chin, T. & Tetlow, M. (2014). Robust attitude estimation to support space monitoring using nano-satellites.
2014 Chin, T. J., Parra Bustos, A., Brown, M. S. & Suter, D. (2014). Fast rotation search for real-time interactive point cloud registration. Symposium on Interactive 3D Graphics and Games (I3D). San Francisco, CA, USA.
10.1145/2556700.2556712
2014 Bustos, �. �., Chin, T. & Suter, D. (2014). Fast rotation search with stereographic projections for 3D registration. 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Columbus, OH.
10.1109/CVPR.2014.502
2013 Liu, W., Chin, T. J., Carneiro, G. & Suter, D. (2013). Point correspondence validation under unknown radial distortion. Digital Image Computing Techniques and Applications (DICTA). Tasmania.
10.1109/DICTA.2013.6691513
2013 Dell'Agnello, D., Carneiro, G., Chin, T., Castellano, G. & Fanelli, A. (2013). Fuzzy clustering based encoding for visual object classification. IFSA World Congress (IFSA). Edmonton, Canada.
10.1109/IFSA-NAFIPS.2013.6608613
2013 Hernandez Zaragoza, J., Chin, T., Brown, M. & Suter, D. (2013). As-projective-as-possible image stitching with moving DLT. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Portland.
10.1109/CVPR.2013.303
2013 Gao, J., Li, Y., Chin, T. J. & Brown, M. (2013). Seam-driven image stitching. Annual Conference of the European Asssociation for Computer Graphics (Eurographics). Spain.
2013 Carneiro, G., Liao, Z. & Chin, T. J. (2013). Closed-loop deep vision. Digital Image Computing Techniques and Applications (DICTA). Hobart, Tasmania.
10.1109/DICTA.2013.6691492
2013 Sathyan, T., Chin, T. J., Suter, D. & Hedley, M. (2013). Improved wireless tracking using radio frequency and video sensors. International Conference on Information Fusion (FUSION). Istanbul.
2012 Pham, T., Chin, T. J., Yu, J. & Suter, D. (2012). The random cluster model for robust geometric fitting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Providence, RI.
10.1109/CVPR.2012.6247740
2012 Zhou, X., Li, X., Chin, T. J. & Suter, D. (2012). Adaptive human silhouette reconstruction based on the exploration of temporal information. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Kyoto.
10.1109/ICASSP.2012.6288055
2012 Tran, Q., Chin, T. J., Carneiro, G., Brown, M. & Suter, D. (2012). In defence of RANSAC for outlier rejection in deformable registration. European Conference on Computer Vision (ECCV). Florence.
10.1007/978-3-642-33765-9_20
2012 Zhou, X., Li, X., Chin, T. J. & Suter, D. (2012). Superpixel-driven level set tracking. IEEE International Conference on Image Processing (ICIP). Orlando Fl.
10.1109/ICIP.2012.6466882
2012 Qin, T., Zhong, B., Chin, T. J. & Wang, H. (2012). Matting-driven online learning of Hough forests for object tracking. International Conference on Pattern Recognition (ICPR). Japan.
2011 Yu, J., Chin, T. J. & Suter, D. (2011). A global optimization approach to robust multi-model fitting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Colorado Springs, CO.
10.1109/CVPR.2011.5995608
2011 Yu, J., Eriksson, A., Chin, T. J. & Suter, D. (2011). An adversarial optimization approach to efficient outlier removal. IEEE International Conference on Computer Vision (ICCV). Barcelona, SPAIN.
10.1109/ICCV.2011.6126268
2011 Wong, H., Chin, T. J., Yu, J. & Suter, D. (2011). Dynamic and hierarchical multi-structure geometric model fitting. IEEE International Conference on Computer Vision (ICCV). Spain.
10.1109/ICCV.2011.6126350
2011 Pham, T., Chin, T. J., Yu, J. & Suter, D. (2011). Simultaneous sampling and multi-structure fitting with adaptive reversible jump MCMC. Advances in Neural Information Processing Systems (NIPS). Spain.
2010 Wang, H., Chin, T. J. & Suter, D. (2010). Visual localization and segmentation based on foreground/background modeling. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Dallas.
10.1109/ICASSP.2010.5495372
2010 Wong, H., Chin, T. J., Yu, J. & Suter, D. (2010). Efficient multi-structure robust fitting with incremental top-k lists comparison. Asian Conference on Computer Vision (ACCV). New Zealand.
10.1007/978-3-642-19282-1_44
2010 Chin, T. J., Yu, J. & Suter, D. (2010). Accelerated hypothesis generation for multi-structure robust fitting. European Conference on Computer Vision (ECCV). Greece.
10.1007/978-3-642-15555-0_39
2010 Li, L., Wang, H., Chin, T. J., Suter, D. & Zhang, S. (2010). Retrieving 3D CAD models using 2D images with optimized weights. International Congress on Image and Signal Processing (CISP). Yantai, China.
10.1109/CISP.2010.5646952
2010 Chin, T. J., Suter, D. & Wang, H. (2010). Multi-structure model selection via kernel optimisation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). San Francisco, CA.
10.1109/CVPR.2010.5539931
2009 Chin, T. J., Wang, H. & Suter, D. (2009). The ordered residual kernel for robust motion subspace clustering. Advances in Neural Information Processing Systems (NIPS). Canada.
2009 Chin, T. J., Wang, H. & Suter, D. (2009). Robust Fitting of Multiple Structures: The Statistical Learning Approach. IEEE International Conference on Computer Vision (ICCV). Kyoto.
10.1109/ICCV.2009.5459150
2009 Chin, T. J. & Suter, D. (2009). Keypoint induced distance profiles for visual recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Florida.
10.1109/CVPRW.2009.5206734
2008 Chin, T. J., Goh, H. & Tan, N. M. (2008). Exact Integral Images at Generic Angles for 2D Barcode Detection. International Conference on Pattern Recognition (ICPR). Tampa, Florida, USA.
10.1109/ICPR.2008.4761169
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. International Conference on Multimedia Modelling (MMM). Kyoto, Japan.
10.1007/978-3-540-77409-9_21
2008 Chin, T. J., Goh, H. & Lim, J. H. (2008). Boosting Descriptors Condensed from Video Sequences for Place Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Anchorage.
10.1109/CVPRW.2008.4563141
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. International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI). Amsterdam, The Netherlands.
10.1145/1409240.1409282
2008 Chin, T. J., Goh, H. & Lim, J. H. (2008). Using Densely Recorded Scenes for Place Recognition. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Las Vegas.
10.1109/ICASSP.2008.4518056
2007 Chin, T. J., Wang, L., Schindler, K. & Suter, D. (2007). Extrapolating learned manifolds for human activity recognition. IEEE International Conference on Image Processing. San Antonio, Texas.
10.1109/ICIP.2007.4378971
2006 Chin, T. J. & Suter, D. (2006). Incremental Kernel PCA for Efficient Non-linear Feature Extraction. British Machine Vision Conference,. Edinburgh.
2006 Chin, T. J. & Suter, D. (2006). A new distance criterion for face recognition using image sets. Asian Conference on Computer Vision. P. J. Narayanan, S. K. Nayar & H. Y. Shum (Eds.) Hyderabad, India.
10.1007/11612032_56
2006 Chin, T. J., Schindler, K. & Suter, D. (2006). Incremental Kernel SVD for Face Recognition with Image Sets. International Conference on Automatic Face and Gesture Recognition,. Southampton.
10.1109/FGR.2006.67
2006 Faggian, N., Paplinski, A. & Chin, T. J. (2006). Face Recognition from Video using Active Appearance Model Segmentation. IEEE International Conference on Pattern Recognition. Hong Kong.
10.1109/ICPR.2006.526
2006 Chin, T. J. & Suter, D. (2006). Improving the Speed of Kernel PCA on Large Scale Datasets. IEEE International Conference on Video and Signal Based Surveillance. Sydney.
10.1109/AVSS.2006.66
2005 Chin, T. J., U, J., Schindler, K. & Suter, D. (2005). Face Recognition from Video by Matching Image Sets. IEEE International Conference on Digital Image Computing: Techniques and Applications. Cairns.
10.1109/DICTA.2005.36
2005 Tangkuampien, T. & Chin, T. J. (2005). Locally Linear Embedding for Markerless Human Motion Capture using Multiple Cameras. IEEE International Conference on Digital Image Computing: Techniques and Applications. Cairns.
10.1109/DICTA.2005.51

Conference Items

Year Citation
2012 Suter, D., Chin, T. J., Wong, H. S. & Pham, T. T. (2012). Perception as hypothesis testing - how to discover and generate hypotheses. 2012 Joint Applied Vision Association and British Machine Vision Association Annual Meeting (AVA/BMVA). Cambridge, United Kingdom.
10.1068/ava12
  • 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

Graduated students

  • Mai Khanh (Katrina) Le, Honours in Computer Science, 2016
    • Now at Google
  • Ryan Marker, Honours in Computer Science, 2016
    • ASC Communications Award, Ingenuity 2016
    • Now at Maptek
  • Yang Heng Kee, MPhil in Computer Vision, 2016
  • Alvaro Parra Bustos, PhD in Computer Vision, 2016
    • Awarded Dean's Commendation for Doctoral Thesis Excellence
    • Now postdoc at Adelaide.
  • Marcus Low, Honours in Computer Science, 2015
    • Google Award for Best Honours Thesis
    • Now at Acronis
  • Thanh Tung Le, Honours in Computer Science, 2014
    • Now at Accenture
  • Quoc Huy Tran, PhD in Computer Vision, 2014
    • Awarded Dean's Commendation for Doctoral Thesis Excellence
    • Now at NEC Labs America
  • Adrian Chan, Master in Defence Science, 2014
    • Now at DSTG
  • Guosheng Lin, PhD in Computer Vision, 2014
    • Google PhD Fellow in computer vision
    • Awarded Dean's Commendation for Doctoral Thesis Excellence
    • Now Assistant Professor at NTU Singapore, previously at ACRV
  • Julio Zaragoza, PhD in Computer Vision, 2014
    • Now at Apple, previously at Lytro
  • Trung Thanh Pham, PhD in Computer Vision, 2014
    • Google PhD Fellow in computer vision
    • Awarded Dean's Commendation for Doctoral Thesis Excellence
    • Now at ACRV
  • Xuance Wang, Honours in Computer Science, 2013
  • Hoi Sim Wong, PhD in Computer Vision, 2013
    • Now at ASTRI
  • William X. Liu, Honours in Computer Science, 2012
    • Google Award for Best Honours Thesis
    • Now PhD student at Adelaide
  • Ziliang Peng, Master in Computer Science, 2011
    • Now at SolveIT Software
Position
Associate Professor
Phone
83136188
Campus
North Terrace
Building
Ingkarni Wardli
Room Number
5 46
Org Unit
School of Computer Science

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