Dr Anthony Dick

• Appointments

  Date	Position	Institution name
  2016 - ongoing	Associate Professor	University of Adelaide

• Journals

  Year	Citation
  2022	Shevchenko, V., Abbasnejad, E., Dick, A., Hengel, A. V. D., & Teney, D. (2022). EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering.
  2021	Shevchenko, V., Teney, D., Dick, A. R., & Hengel, A. V. D. (2021). Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge.. CoRR, abs/2101.06013.
  2020	Shevchenko, V., Teney, D., Dick, A. R., & Hengel, A. V. D. (2020). Visual Question Answering with Prior Class Semantics.. CoRR, abs/2005.01239.
  2018	Wu, Q., Shen, C., Wang, P., Dick, A., & van den Hengel, A. (2018). Image captioning and visual question answering based on attributes and external knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1367-1381. DOI Scopus318 WoS196 Europe PMC8
  2017	Abbasnejad, M., Shi, Q., Abbasnejad, I., Hengel, A., & Dick, A. (2017). Bayesian Conditional Generative Adverserial Networks.. CoRR, abs/1706.05477.
  2017	Wang, P., Wu, Q., Shen, C., Dick, A., & Van Den Hengel, A. (2017). FVQA: fact-based Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(10), 2413-2427. DOI Scopus299 WoS173 Europe PMC5
  2017	Wu, Q., Teney, D., Wang, P., Shen, C., Dick, A., & van den Hengel, A. (2017). Visual question answering: a survey of methods and datasets. Computer Vision and Image Understanding, 163, 21-40. DOI Scopus249 WoS156
  2016	Li, X., Shen, C., Dick, A., Zhang, Z., & Zhuang, Y. (2016). Online metric-weighted linear representations for robust visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(5), 931-950. DOI Scopus23 WoS19
  2014	Niu, Y., Dick, A., & Brooks, M. (2014). Compass rose: A rotational robust signature for optical flow computation. IEEE Transactions on Circuits and Systems for Video Technology, 24(1), 63-73. DOI Scopus4 WoS4
  2014	Chen, Y., Li, X., Dick, A., & Hill, R. (2014). Ranking consistency for image matching and object retrieval. Pattern Recognition, 47(3), 1349-1360. DOI Scopus45 WoS36
  2013	Li, X., Dick, A., Shen, C., Van Den Hengel, A., & Wang, H. (2013). Incremental learning of 3D-DCT compact representations for robust visual tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4), 863-881. DOI Scopus84 WoS65 Europe PMC7
  2013	Kumar, P., & Dick, A. (2013). Adaptive earth movers distance-based Bayesian multi-target tracking. IET Computer Vision, 7(4), 246-257. DOI Scopus7 WoS8
  2013	Li, X., Dick, A., Shen, C., Zhang, Z., Van Den Hengel, A., & Wang, H. (2013). Visual tracking with spatio-temporal Dempster-Shafer information fusion. IEEE Transactions on Image Processing, 22(8), 3028-3040. DOI Scopus33 WoS31 Europe PMC6
  2013	Niu, Y., Dick, A., & Brooks, M. (2013). Linking local and global optical flow computation by subspace regularization. Optical Engineering, 52(3), 1-10. DOI Scopus5 WoS2
  2013	Li, X., Hu, W., Shen, C., Dick, A., & Zhang, Z. (2013). Context-aware hypergraph construction for robust spectral clustering. IEEE Transactions on Knowledge & Data Engineering, 26(10), 1-9. DOI Scopus46 WoS37
  2013	Li, X., Hu, W., Shen, C., Zhang, Z., Dick, A., & Van Den Hengel, A. (2013). A survey of appearance models in visual object tracking. ACM Transactions on Intelligent Systems and Technology, 4(58), 1-48. DOI Scopus678 WoS588
  2013	Chen, Y., Dick, A., Li, X., & Van Den Hengel, A. (2013). Spatially aware feature selection and weighting for object retrieval. Image and Vision Computing, 31(12), 935-948. DOI Scopus11 WoS6
  2012	Chen, Y., Li, X., Dick, A., & Van Den Hengel, A. (2012). Boosting object retrieval with group queries. IEEE Signal Processing Letters, 19(11), 765-768. DOI Scopus10 WoS9
  2012	Niu, Y., Dick, A., & Brooks, M. (2012). Locally oriented optical flow computation. IEEE Transactions on Image Processing, 21(4), 1573-1586. DOI Scopus5 WoS3 Europe PMC1
  2009	Van Den Hengel, A., Sale, D., & Dick, A. (2009). SecondSkin: An interactive method for appearance transfer. Computer Graphics Forum, 28(7 Sp Iss), 1735-1744. DOI Scopus1 WoS1
  2009	Van Der Vlies, A. E., Koedam, E. L. G. E., Pijnenburg, Y. A. L., Twisk, J. W. R., Scheltens, P., & Van Der Flier, W. M. (2009). Most rapid cognitive decline in APOE 4 negative Alzheimer's disease with early onset. Psychological Medicine, 39(11), 1907-1911. DOI Scopus84 WoS115 Europe PMC56
  2008	Flint, A., Dick, A., & Van Den Hengel, A. (2008). Local 3D structure recognition in range images. IET Computer Vision, 2(4), 208-217. DOI Scopus33 WoS30
  2008	Detmold, H., Van Den Hengel, A., Dick, A., Falkner, K., Munro, D., & Morrison, R. (2008). Middleware for distributed video surveillance. IEEE Distributed Systems Online, 9(2), 1-11. DOI Scopus30
  2008	Van Den Hengel, A., & Dick, A. (2008). Image based modelling with VideoTrace. Computer Graphics, 42(2), 2-1-2-8. DOI
  2007	Van Den Hengel, A., Dick, A., Thormaehlen, T., Ward, B., & Torr, P. (2007). Video Trace: rapid interactive scene modelling from video. ACM Transactions on Graphics, 26(3), 86-1-86-5. DOI Scopus97 WoS74
  2004	Dick, A., Torr, P., & Cipolla, R. (2004). Modelling and interpretation of architecture from several images. International Journal of Computer Vision, 60(2), 111-134. DOI Scopus174 WoS108

• Book Chapters

  Year	Citation
  2014	Dick, A., Hengel, A., & Detmold, H. (2014). Large-scale camera topology mapping: application to re-identification. In S. Gong, M. Cristani, S. Yan, & C. Loy (Eds.), Person Re-Identification (Vol. 56, pp. 391-411). London: Springer. DOI Scopus4
  2011	Van Den Hengel, A., Dick, A., Detmold, H., Cichowski, A., Madden, C., & Hill, R. (2011). Distributed camera overlap estimation - Enabling large scale surveillance. In P. Remagnino, D. Monekosso, & L. Jain (Eds.), Innovations in Defence Support Systems - 3: Intelligent Paradigms in Security (Vol. 336, 1 ed., pp. 147-182). Germany: Springer. DOI

• Conference Papers

  Year	Citation
  2020	Repasky, B., Payne, T., & Dick, A. (2020). Automatic assessment of Open Street Maps database quality using aerial imagery. In Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2020) Vol. 2 (pp. 1-3). online: IEEE. DOI Scopus1
  2019	Ehsan Abbasnejad, M., Dick, A., Shi, Q., & Van Den Hengel, A. (2019). Active learning from noisy tagged images. In British Machine Vision Conference 2018, BMVC 2018.
  2018	Ma, C., Shen, C., Dick, A., Wu, Q., Wang, P., Van Den Hengel, A., & Reid, I. (2018). Visual Question Answering with memory-augmented network. In Proceedings: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 6975-6984). Salt Lake City, Utah: IEEE. DOI Scopus87 WoS62
  2018	Abbasnejad, M. E., Dick, A. R., Shi, Q., & Hengel, A. V. D. (2018). Active learning from noisy tagged images. In Proceedings of BMVC 2018 and Workshops (pp. 1-13). Newcastle upon Tyne: BMVA Press.
  2018	Rezatofighi, H., Milan, A., Shi, Q., Dick, A., & Reid, I. (2018). Joint learning of set cardinality and state distribution. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 3968-3975). online: AAAI. Scopus9 WoS4
  2017	Milan, A., Rezatofighi, H., Dick, A., Reid, I., & Schindler, K. (2017). Online multi-target tracking using recurrent neural networks. In Proceedings of 31st AAAI Conference on Artificial Intelligence and the 29th Innovative Applications of Artificial Intelligence Conference (pp. 4225-4232). San Francisco: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. Scopus344 WoS254
  2017	Wang, P., Wu, Q., Shen, C., Dick, A., & Van Den Hengel, A. (2017). Explicit knowledge-based reasoning for visual question answering. In C. Sierra (Ed.), Proceedings of the twenty-sixth International Joint Conference on Artificial Intelligence Vol. 0 (pp. 1290-1296). online: IJCAI. DOI Scopus130 WoS60
  2017	Zhu, M., Dick, A., & van den Hengel, A. (2017). Large-scale camera network topology estimation by lighting variation. In J. Blanc-Talon, R. Penne, W. Philips, D. Popescu, & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems: proceedings Vol. 10617 LNCS (pp. 455-467). Antwerp, Belgium: Springer. DOI
  2017	Abbasnejad, M., Dick, A., & van den Hengel, A. (2017). Infinite variational autoencoder for semi-supervised learning. In Proceedings: 30th IEEE Conference on Computer Vision and Pattern Recognition Vol. 2017-January (pp. 781-790). Honolulu: IEEE. DOI Scopus55 WoS31
  2017	Faulkner, H., & Dick, A. (2017). TenniSet: A dataset for dense fine-grained event recognition, localisation and description. In Y. Guo, H. Li, W. Cai, M. Murshed, Z. Wang, J. Gao, & D. Feng (Eds.), Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) Vol. 2017-December (pp. 1-8). Piscataway, NJ: IEEE. DOI Scopus4
  2017	Rezatofighi, S., Kumar, V., Milan, A., Abbasnejad, E., Dick, A., & Reid, I. (2017). DeepSetNet: Predicting sets with deep neural networks. In Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017) Vol. 2017 (pp. 5257-5266). Piscataway, NJ: IEEE. DOI Scopus28 WoS18
  2017	Milan, A., Rezatofighi, S., Garg, R., Dick, A., & Reid, I. (2017). Data-driven approximations to NP-hard problems. In Proceedings of the 31st AAAI Conference on Artificial Intelligence, AAAI 2017 (pp. 1453-1459). San Francisco: AAAI. Scopus38 WoS19
  2016	Wu, Q., Wang, P., Shen, C., Dick, A., & Van Den Hengel, A. (2016). Ask me anything: free-form visual question answering based on knowledge from external sources. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 4622-4630). Las Vegas, NV: IEEE. DOI Scopus297 WoS183
  2016	Wu, Q., Shen, C., Liu, L., Dick, A., & Van Den Hengel, A. (2016). What value do explicit high level concepts have in vision to language problems?. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2016-December (pp. 203-212). Las Vegas, NV: IEEE. DOI Scopus405 WoS278
  2016	Rezatofighi, S., Milan, A., Zhang, Z., Shi, Q., Dick, A., & Reid, I. (2016). Joint probabilistic matching using m-best solutions. In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2016) Vol. 2016-December (pp. 136-145). Las Vegas, NV: IEEE. DOI Scopus23 WoS15
  2016	Cadena, C., Dick, A., & Reid, I. D. (2016). Multi-modal auto-encoders as joint estimators for robotics scene understanding. In Proceedings of Robotics: Science and Systems Vol. 12 (pp. 1-9). Michigan, USA: MIT Press. DOI Scopus69 WoS5
  2015	Milan, A., Rikke, G., Dick, A., Moeslund, T., & Reid, I. (2015). Improving global multi-target tracking with local updates. In Proceedings of the 13th European Conference on Computer Vision Workshop, Part IIIs Vol. 8927 (pp. 174-190). Zurich, Switzerland: Springer. DOI Scopus10 WoS2
  2015	Rezatofighi, S., Milan, A., Zhang, Z., Shi, Q., Dick, A., & Reid, I. (2015). Joint Probabilistic Data Association Revisited. In Proceedings of the 2015 IEEE International Conference on Computer Vision Vol. 2015 International Conference on Computer Vision, ICCV 2015 (pp. 3047-3055). Santiago, CHILE: IEEE. DOI Scopus280 WoS192
  2015	Chen, Y., Dick, A., Li, X., & Hill, R. (2015). Context based re-ranking for object retrieval. In Proceedings of the 12th Asian Conference on Computer Vision Vol. 9003 (pp. 196-210). Singapore: Springer International Publishing. DOI
  2015	Cadena, C., Dick, A., & Reid, I. (2015). A fast, modular scene understanding system using context-aware object detection. In Proceedings of IEEE International Conference on Robotics and Automation Vol. 2015-June (pp. 4859-4866). Seattle, WA: IEEE. DOI Scopus22 WoS11
  2015	Faulkner, H., Shehu, E., Szpak, Z., Chojnacki, W., Tapamo, J., Dick, A., & Van Den Hengel, A. (2015). A study of the region covariance descriptor: impact of feature selection and image transformations. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications Vol. 3952 (pp. 1-8). Adelaide, SA.: IEEE. DOI Scopus6
  2015	Van Den Hengel, A., Russell, C., Dick, A., Bastian, J., Pooley, D., Fleming, L., & Agapito, L. (2015). Part-based modelling of compound scenes from images. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 878-886). Boston, MA: IEEE. DOI Scopus16 WoS12
  2015	Stamatescu, G., Dick, A., & White, L. (2015). Multi-camera tracking of intelligent targets with Hidden Reciprocal Chains. In Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-8). Adelaide, Australia: IEEE. DOI Scopus5
  2015	Zhu, M., Dick, A., & Van Den Hengel, A. (2015). Camera network topology estimation by lighting variation. In Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications (pp. 238-243). Adelaide, Australia: IEEE. DOI Scopus3
  2015	Faulkner, H., & Dick, A. (2015). AFL Player Detection and Tracking. In Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications Vol. 2 (pp. 100-107). Adelaide, AUSTRALIA: IEEE. DOI Scopus5 WoS7
  2013	Li, X., Li, Y., Shen, C., Dick, A., & Van Den Hengel, A. (2013). Contextual hypergraph modeling for salient object detection. In Proceedings of the 2013 IEEE International Conference on Computer Vision, ICCV 2013 (pp. 3328-3335). USA: IEEE Computer Society. DOI Scopus206 WoS148
  2013	Li, X., Lin, G., Shen, C., Van Den Hengel, A., & Dick, A. (2013). Learning hash functions using column generation. In Proceedings of the 30th International Conference on Machine Learning, IMLS 2013 (pp. 1-9). online: IMCL. Scopus111
  2013	Li, X., Shen, C., Dick, A., & Van Den Hengel, A. (2013). Learning compact binary codes for visual tracking. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 19 (pp. 2419-2426). United States: IEEE. DOI Scopus83 WoS60
  2013	Gu, S. -M., Li, X., Wu, W. -Z., & Nian, H. (2013). MULTI-GRANULATION ROUGH SETS IN MULTI-SCALE INFORMATION SYSTEMS. In PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4 (pp. 108-113). Tianjin, PEOPLES R CHINA: IEEE. WoS75
  2012	Chen, Y., Dick, A., & Li, X. (2012). Visual distance measures for object retrieval. In Proceedings of Digital Image Computing Techniques and Applications, DICTA 2012 (pp. 1-8). USA: IEEE. DOI Scopus1 WoS1
  2012	Li, X., Shen, C., Shi, Q., Dick, A., & Van Den Hengel, A. (2012). Non-sparse linear representations for visual tracking with online reservoir metric learning. In Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012 Vol. 11 (pp. 1760-1767). USA: IEEE. DOI Scopus73 WoS44
  2011	Li, X., Dick, A., Wang, H., Shen, C., & Van Den Hengel, A. (2011). Graph mode-based contextual kernels for robust SVM tracking. In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2011 Vol. 20 (pp. 1156-1163). USA: IEEE. DOI Scopus40 WoS28
  2010	Chen, Y., Dick, A., & Van Den Hengel, A. (2010). Image retrieval with a visual thesaurus. In Proceedings of 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010) (pp. 8-14). USA: IEEE. DOI Scopus2
  2010	Bastian, J., Ward, B., Hill, R., Van Den Hengel, A., & Dick, A. (2010). Interactive modelling for AR applications. In Proceedings of IEEE International Symposium on Mixed and Augmented Reality 2010 Science and Technology (pp. 199-205). USA: IEEE. DOI Scopus22
  2010	Chen, Y., Ding, X., King, M. W., & Li, Y. -L. (2010). Study on Biostability of Poly (trimethylene terephthalate) Filament to Hydrolytic Degradation in Normal Saline. In 2010 INTERNATIONAL FORUM ON BIOMEDICAL TEXTILE MATERIALS, PROCEEDINGS (pp. 8-12). Donghua Univ, Songjiang Campus, Shanghai, PEOPLES R CHINA: DONGHUA UNIV PRESS. WoS2
  2009	Van Den Hengel, A., Hill, R., Ward, B., Cichowski, A., Detmold, H., Madden, C., . . . Bastian, J. (2009). Automatic camera placement for large scale surveillance networks. In Proceedings of WACV 2009 (pp. 1-6). USA: IEEE. DOI Scopus26
  2009	Van Den Hengel, A., Hill, R., Ward, B., & Dick, A. (2009). In situ image-based modeling. In Proceedings of the 8th International Symposium on Mixed & Augmented Reality 2009 Vol. 26 (pp. 107-110). USA: IEEE. DOI Scopus34 WoS20
  2009	Kumar, P., Dick, A., & Sheng, T. (2009). Real time target tracking with pan tilt zoom camera. In Proceedings of 2009 Digital Image Computing: Techniques and Applications Vol. 5132 (pp. 492-497). California: CPS. DOI Scopus32 WoS14
  2009	Hill, R., Madden, C., Van Den Hengel, A., Detmold, H., & Dick, A. (2009). Measuring latency for video surveillance systems. In Proceedings of 2009 Digital Image Computing: Techniques and Applications (pp. 89-95). USA: IEEE. DOI Scopus28 WoS15
  2009	Niu, Y., Dick, A., & Brooks, M. (2009). A new inconsistency measure for linear systems and two applications in motion analysis. In Proceeding of the 24th International Conference Image and Vision Computing New Zealand (VCNZ 2009) Vol. 32 (pp. 276-281). USA: IEEE. DOI Scopus2 WoS1
  2009	Cichowski, A., Madden, C., Detmold, H., Dick, A., Van Den Hengel, A., & Hill, R. (2009). Tracking hand-off in large surveillance networks. In Proceeding of the 24th International Conference Image and Vision Computing New Zealand (VCNZ 2009) Vol. 35 (pp. 276-281). USA: IEEE. DOI Scopus9 WoS6
  2009	Detmold, H., Van Den Hengel, A., Dick, A., Madden, C., Cichowski, A., & Hill, R. (2009). Surprisal-aware scheduling of PTZ cameras. In Proceedings of ICDSC 2009 (pp. 1-8). USA: IEEE. DOI Scopus2
  2009	Van Den Hengel, A., Detmold, H., Madden, C., Dick, A., Cichowski, A., & Hill, R. (2009). A framework for determining overlap in large scale networks. In Proceedings of ICDSC 2009 (pp. 1-8). USA: IEEE. DOI Scopus2
  2009	Cichowski, A., Madden, C., Van Den Hengel, A., Hill, R., Detmold, H., & Dick, A. (2009). Contradiction and correlation for camera overlap estimation. In Carlo Regazzoni (Ed.), Proceedings of the 2009 6th IEEE International Conference on Advanced Video & Signal Based Surveillance (pp. 1-6). USA: IEEE. DOI Scopus1
  2008	Van Den Hengel, A., Hill, R., Detmold, H., & Dick, A. (2008). Searching in space and time: a system for forensic analysis of large video repositories. In Proceedings of the 1st international conference on forensic application and techniques in telecommunications, information and multimedia workshop (pp. 1-6). Australia: IEEE. DOI Scopus1
  2008	Kumar, P., Brooks, M., & Dick, A. (2008). Multiple target tracking with an efficient compact colour correlogram. In Proceedings of the 10th International conference on control, automation, robotics and vision Vol. 1 (pp. 1-6). USA: IEEE. DOI Scopus5 WoS4
  2008	Niu, Y., Dick, A., & Brooks, M. (2008). A new combination of local and global constraints for optical flow computation. In Proceedings of the IVCNZ 2008 (pp. 1-6). USA: IEEE. DOI Scopus1
  2008	Kumar, P., Dick, A., & Brooks, M. (2008). Integrated bayesian multi-cue tracker for objects observed from moving cameras. In Proceedings of the IVCNZ 2008 Vol. 2 (pp. 1-6). USA: IEEE. DOI Scopus4
  2008	Detmold, H., Van Den Hengel, A., Dick, A., Cichowski, A., Hill, R., Kocadag, E., . . . Munro, D. (2008). Estimating camera overlap in large and growing networks. In Proceedings of the ICDSC 2008 Vol. 2 (pp. 1-9). USA: IEEE. DOI Scopus10
  2008	Hill, R., Van Den Hengel, A., Dick, A., Cichowski, A., & Detmold, H. (2008). Empirical evaluation of the exclusion approach to estimating camera overlap. In Proceedings of the ICDSC 2008 Vol. 2 (pp. 1-9). USA: IEEE. DOI Scopus8
  2007	Van Den Hengel, A., Detmold, H., Dick, A., & Hill, R. (2007). Preparing for post-catastrophe video processing. In Priyan Mendis (Ed.), Proceedings of the 2007 RNSA Security Technology Conference (pp. 1-8). Australia: Australian Homeland Security Research Centre.
  2007	Zhao, A., Brooks, M., & Dick, A. (2007). Enhanced appearance models for object tracking. In Yu Jin Zhang (Ed.), Proceedings of the Fourth International Conference on Image and Graphics Vol. 1064 (pp. 513-518). USA: IEEE. DOI Scopus4 WoS2
  2007	Van Den Hengel, A., Dick, A., Thormaehlen, T., Ward, B., & Torr, P. (2007). A shape hierarchy for 3D modelling from video. In Andrew Rohl (Ed.), Proceedings of GRAPHITE 2007 Vol. 2 (pp. 63-70). Australia: ACM. DOI Scopus2 WoS5
  2007	Niu, Y., Dick, A., & Brooks, M. (2007). Discontinuity-preserving optical flow computation by a dynamic overdetermined system. In M. Bottema (Ed.), Proceedings of DICTA 2007 Vol. 800 (pp. 352-358). CDROM: IEEE. DOI Scopus3
  2007	Van Den Hengel, A., Dick, A., Thormaehlen, T., Ward, B., & Torr, P. (2007). Interactive 3D model completion. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 175-181). CDROM: IEEE. DOI Scopus3
  2007	Flint, A., Dick, A., & Van Den Hengel, A. (2007). Thrift: Local 3D structure recognition. In M. Bottema (Ed.), Proceedings of DICTA 2007 (pp. 182-188). CDROM: IEEE. DOI Scopus121
  2007	Detmold, H., Van Den Hengel, A., Dick, A., Cichowski, A., Hill, R., Kocadag, E., . . . Munro, D. (2007). Topology estimation for thousand-camera surveillance networks. In B. Rinner, & W. Wolf (Eds.), Proceedings of ICDSC-07 (pp. 195-202). CDROM: IEEE. DOI Scopus31 WoS7
  2007	Van Den Hengel, A., Dick, A., Detmold, H., Cichowski, A., & Hill, R. (2007). Finding camera overlap in large surveillance networks. In Yasushi Yagi (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4843 LNCS (PART 1) Vol. 4843 LNCS (pp. 375-384). Germany: Springer. DOI Scopus9 WoS7
  2007	Kumar, P., Brooks, M., & Dick, A. (2007). Adaptive multiple object tracking using colour and segmentation cues. In Yasushi Yagi (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4843 LNCS (PART 1) Vol. 4843 LNCS (pp. 853-863). Germany: Springer. DOI Scopus7 WoS5
  2007	van den Hengel, A., Dick, A., Thormählen, T., Ward, B., & Torr, P. H. S. (2007). VideoTrace. In ACM SIGGRAPH 2007 papers Vol. 1 (pp. 86). ACM. DOI
  2006	Van Den Hengel, A., Dick, A., Thormaehlen, T., Ward, B., & Torr, P. (2006). Building models of regular scenes from structure-and-motion. In M. Chandler, E. Trucco, & R. Fisher (Eds.), Proceedings of British Machine Vision Conference 2006 (pp. CDROM1-CDROM9). CDROM: BMVA. Scopus9
  2006	Van Den Hengel, A., Dick, A., Thormaehlen, T., Ward, B., & Torr, P. (2006). Rapid interactive modelling from video with graph cuts. In D. Fellner, & C. Hansen (Eds.), Proceedings of Eurographics 2006 (pp. CDROM1-CDROM4). CDROM: Eurographics Association.
  2006	Detmold, H., Dick, A., Falkner, K., Munro, D., Van Den Hengel, A., & Morrison, R. (2006). Middleware for video surveillance networks. In V. Cahill, & S. Michiels (Eds.), Proceedings of MIdSens'06 Vol. 218 (pp. CDROM31-CDROM36). CDROM: ACM Press. DOI Scopus17
  2006	Ward, B., & Dick, A. (2006). Computer vision based interfaces for interactive simulations. In A. Ranchordas, H. Araujo, & B. Encarnacao (Eds.), Proceedings of VISAPP 2006 Vol. 2 (pp. CDROM389-CDROM394). CDROM: INSTICC.
  2006	Van Den Hengel, A., Dick, A., Thormaehlen, T., Torr, P., & Ward, B. (2006). Fitting multiple models to multiple images with minimal user interaction. In R. Horaud, C. Schnorr, P. Torr, & J. Tsotsos (Eds.), Proceedings of WRUPKV 2006 (pp. CDROM1-CDROM15). CDROM: University of Ljubljana.
  2006	Van Den Hengel, A., Dick, A., Thormaehlen, T., Ward, B., & Torr, P. (2006). Hierarchical model fitting to 2D and 3D data. In E. Banissi, M. Sarfraz, M. Huang, & Q. Wu (Eds.), Proceedings of Computer Graphics, Imaging and Visualisation Vol. 2006 (pp. 359-364). USA: IEEE. DOI Scopus1
  2006	Detmold, H., Dick, A., Falkner, K., Munro, D., Van Den Hengel, A., & Morrison, R. (2006). Scalable surveillance software architecture. In M. Piccardi, T. Hintz, I. Pavlidis, C. Regazzoni, & X. He (Eds.), Proceedings of AVSS 2006 Vol. 89 (pp. CDROM1-CDROM6). CDROM: IEEE. DOI Scopus11
  2006	Van Den Hengel, A., Dick, A., & Hill, R. (2006). Activity topology estimation for large networks of cameras. In M. Piccardi, T. Hintz, I. Pavlidis, C. Regazzoni, & X. He (Eds.), Proceedings of AVSS 2006 (pp. CDROM1-CDROM6). CDROM: IEEE. DOI Scopus23
  2005	Ohta, N., & Dick, A. (2005). Pedestrian detection and identification using two cameras. In I. Kweon (Ed.), Proceedings of the Ninth IAPR Conference on Machine Vision Applications (pp. 302-305). Japan: MVA Conference Committee.
  2005	Brooks, M., Dick, A., & Van Den Hengel, A. (2005). Towards intelligent networked video surveillance for the detection of suspicious behaviours. In P. Mendis, J. Lai, & E. Dawson (Eds.), Proceedings of the 2005 Science, Engineering and Technology Summit (pp. 153-161). Curtin, ACT: The Australian Homeland Security Research Centre.
  2004	Dick, A., & Brooks, M. (2004). A stochastic approach to tracking objects across multiple cameras. In G. Webb, & X. Yu (Eds.), Proceedings of the 17th Australasian Joint Conference on Artificial Intelligence 2004 Vol. 3339 (pp. 160-170). Berlin, Germany: Springer. DOI Scopus43 WoS20
  2004	Shen, C., Van Den Hengel, A., Dick, A., & Brooks, M. (2004). Enhanced importance sampling: Unscented auxiliary particle filtering for visual tracking. In G. Webb, & X. Yu (Eds.), Proceedings of the 17th Australasian Joint Conference on Artificial Intelligence 2004 Vol. 3339 (pp. 180-191). Berlin, Germany: Springer. DOI Scopus11 WoS6
  2004	Shen, C., Van Den Hengel, A., Dick, A., & Brooks, M. (2004). 2D articulated tracking with dynamic Bayesian networks. In D. Wei, H. Wang, Z. Peng, A. Kara, & Y. He (Eds.), Proceedings of the 4th International Conference on Computer and Information Technology 2004 Vol. 1 (pp. 1-7). Los Alamitos, California, USA: IEEE. DOI Scopus9 WoS6
  2003	Shen, C., Van Den Hengel, A., & Dick, A. (2003). Probabilistic multiple cue intergration for particle filter based tracking. In C. Sun, H. Talbot, S. Ourselin, & T. Adriaansen (Eds.), Proceedings of the 7th Biennial Australian Pattern Recognition Society Conference - DICTA 2003 (pp. 399-408). Australia: CSIRO.
  2003	Dick, A., & Brooks, M. (2003). Issues in automated visual surveillance. In C. Sun, H. Talbot, S. Ourselin, & T. Adriaansen (Eds.), Proceedings of the 7th Biennial Australian Pattern Recognition Society Conference - DICTA 2003 (pp. 195-203). Australia: CSIRO.
  2002	Dick, A., Dyer, F., & Cipolla, R. (2002). A Bayesian Estimation of Building Shape Using MCMC. In 7th European Conference on Computer Vision-Part II Vol. 2351 (pp. 852-866). London, UK: Springer-Verlag. DOI Scopus12 WoS5
  2001	Dick, A., Torr, P., Ruffle, S., & Cipolla, R. (2001). Combining single view recognition and multiple view stereo for architectural scenes. In 8th IEEE International Conference on Computer Vision Vol. 1 (pp. 268-274). Cambridge University: Department of English, Cambridge University. DOI Scopus64 WoS30
  2000	Torr, P., Dick, A. R., & Cipolla, R. (2000). Layer extraction with a bayesian model of shapes. In Computer Vision - ECCV 2000: 6th European Conference on Computer Vision. Proceedings, Part II Vol. 1843 (pp. 273-289). Dublin: Springer. DOI Scopus6
  1998	Brooks, M. J., Chojnacki, W., Dick, A., van den Hengel, A., Kanatani, K., & Ohta, N. (1998). Incorporating optical flow uncertainty information into a self-calibration procedure for a moving camera. In S. F. ElHakim, & A. Gruen (Eds.), Proceedings of SPIE Vol. 3641 Videometrics VI (pp. 183-192). San Jose, CA: SPIE. DOI Scopus1

• Conference Items

  Year	Citation
  2006	Thormaehlen, T., Dick, A., Van Den Hengel, A., Ward, B., & Torr, P. (2006). Regular Scene Reconstruction from Image Sequences. Poster session presented at the meeting of [Video Proceedings for] IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA: IEEE Computer Society.

I have taught courses at all levels of Computer Science, from introductory programming to Honours. I was involved in creating the Computer Graphics and Event Driven Computing courses, and have been involved in the rollout of Small Group Discovery Experience components in multiple courses.

I am the Curriculum Coordinator for the School of Computer Science. I am the Interim Head of Computer Science from Jan-June 2018.

• Current Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2020	Principal Supervisor	Symbolic and Subsymbolic Information Processing in Machine Learning	Doctor of Philosophy	Doctorate	Full Time	Boris Repasky

• Past Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2018 - 2022	Principal Supervisor	Developing a System for Free-Form Visual Question Answering	Doctor of Philosophy	Doctorate	Full Time	Miss Violetta Shevchenko
  2018 - 2023	Principal Supervisor	Explainable Reinforcement Learning via Rule Extraction in Complex Visual Environments	Doctor of Philosophy	Doctorate	Full Time	Mr Anthony Manchin
  2015 - 2020	Co-Supervisor	Single View 3D Reconstruction using Deep Learning	Doctor of Philosophy	Doctorate	Part Time	Adrian Robert Johnston
  2015 - 2021	Principal Supervisor	General and Fine-Grained Video Understanding using Machine Learning & Standardised Neural Network Architectures	Doctor of Philosophy	Doctorate	Full Time	Hayden James Faulkner
  2014 - 2018	Co-Supervisor	Forgetting Properties of Finite-State Reciprocal Processes	Master of Philosophy	Master	Full Time	Mr Riley Bruce-Doust
  2010 - 2014	Co-Supervisor	Markov Random Fields with Unknown Heterogeneous Graphs	Doctor of Philosophy	Doctorate	Full Time	Mr Zhenhua Wang
  2009 - 2013	Principal Supervisor	Efficient and Robust Image Ranking for Object Retrieval	Doctor of Philosophy	Doctorate	Full Time	Ms Yanzhi Chen
  2009 - 2013	Co-Supervisor	Constrained Parameter Estimation in Multiple View Geometry	Doctor of Philosophy	Doctorate	Full Time	Mr Zygmunt Ladyslaw Szpak
  2007 - 2010	Co-Supervisor	Optical Flow Estimation in the Presence of Fast or Discontinuous Motion	Doctor of Philosophy	Doctorate	Full Time	Ms Yan Niu
  2005 - 2013	Co-Supervisor	Interactive 3D Reconstruction from Video	Doctor of Philosophy	Doctorate	Full Time	Dr Ben Ward

• Position: Associate Professor
• Phone: 83135583
• Email: anthony.dick@adelaide.edu.au
• Fax: 83134366
• Campus: North Terrace
• Building: Australian Institute for Machine Learning, floor 1
• Org Unit: Computer Science