Anthony Dick

APrf Anthony Dick

Associate Professor

School of Computer Science and Information Technology

College of Engineering and Information Technology

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

I research problems in computer vision, which involves using computers to understand images. The main problems I have worked on are the estimation of 3D shape from images, and tracking moving objects in images.

I am a member of the Australian Centre for Visual Technologies, a research centre in the University of Adelaide. The centre conducts publicly funded and contract research into computer vision, image analysis, and machine learning.

I research problems in the area of computer vision, and in particular visual tracking. Some problems I am currently working on include:

  • Tracking AFL players during games for coaching purposes
  • Automatic production of detailed text descriptions of video
  • Tracking moving entities in medical images/video
  • Visual question answering that combines imagery with text based knowledge sources

 

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

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.
2022 Shevchenko, V., Abbasnejad, E., Dick, A. R., Hengel, A. V. D., & Teney, D. (2022). EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering.. CoRR, abs/2206.14355.
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 Scopus352 WoS263 Europe PMC29
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 Scopus403 WoS321 Europe PMC33
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 Scopus325 WoS244
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 Scopus24 WoS19 Europe PMC1
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 Scopus46 WoS38
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 Scopus87 WoS68 Europe PMC9
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 Scopus35 WoS33 Europe PMC8
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 Scopus49 WoS45
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 Scopus693 WoS625
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 Scopus88 WoS123 Europe PMC79
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 WoS31
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 Scopus31
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 Scopus96 WoS76
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 WoS109

Year Citation
2024 Repasky, B., Dick, A., & Abbasnejad, E. (2024). BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model. In Advances in Neural Information Processing Systems Vol. 37. Vancouver, Canada: Neural information processing systems foundation.
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) (pp. 1-3). online: IEEE.
DOI Scopus1
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 Scopus102 WoS79
2018 Ehsan Abbasnejad, M., Dick, A., Shi, Q., & Van Den Hengel, A. (2018). Active learning from noisy tagged images. In British Machine Vision Conference 2018 Bmvc 2018.
Scopus1
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.
Scopus10 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.
Scopus372 WoS286
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 Scopus156 WoS100
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 Scopus74 WoS56
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 Scopus10 WoS3
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 Scopus36 WoS26
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.
Scopus46 WoS23
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 Scopus322 WoS212
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 Scopus430 WoS298
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 Scopus25 WoS20
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 Scopus75 WoS17
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 Scopus11 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 Scopus307 WoS232
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 Scopus23 WoS13
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 (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 Scopus19 WoS14
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 (pp. 100-107). Adelaide, AUSTRALIA: IEEE.
DOI Scopus5 WoS8
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 Scopus219 WoS164
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.
Scopus113
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 (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
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 (pp. 1760-1767). USA: IEEE.
DOI Scopus73 WoS46
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 (pp. 1156-1163). USA: IEEE.
DOI Scopus41 WoS30
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 Scopus28
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 (pp. 107-110). USA: IEEE.
DOI Scopus34 WoS21
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 (pp. 492-497). California: CPS.
DOI Scopus33 WoS15
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 Scopus29 WoS18
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) (pp. 276-281). USA: IEEE.
DOI Scopus2
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) (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 (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 (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 (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 (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 (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 (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 (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 Scopus128
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 (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 Vol. 1 (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 (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 Scopus45 WoS21
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 (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 WoS31
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

Year Citation
2017 Abbasnejad, M. E., Shi, Q., Abbasnejad, I., Hengel, A. V. D., & Dick, A. R. (2017). Bayesian Conditional Generative Adverserial Networks..

Australian Research Council (ARC)

Learning the deep structure of images;

Van Den Hengel, Anton John; Dick, Anthony Robert; Liu, Lingqiao;

ARC Discovery Grant, 2016-18. Amount awarded: $300,000

Visual tracking with environmental constraints

A. Dick, I. Reid, T. Kelsey.

ARC Linkage Grant, 2013-16

Value $525,000 ($345K from ARC)

Partner Organization: Champion Data

 

Recognising and reconstructing objects in real time from a moving camera

I. Reid, A. Dick

ARC Discovery Grant, 2013-15

Value $330,000

 

Computational infrastructure for machine learning in computer vision

A. van den Hengel, I.Reid, S. Venkatesh, B. Vo, D.Suter, S. Gould, S. Lucey, A. Dick, C.Shen, D.Q. Phung

ARC LIEF Grant, 2013

Value $210,000

 

Learning to read 3D

A. van den Hengel, A. Dick

ARC Discovery Grant, 2012-14

Value $330,000

 

Improving yield through image-based structural analysis of cereals

A. van Den Hengel, M. Tester, A. Dick

ARC Linkage Grant, 2011-13

Value $725,000

Partner Organisation: Bayer

 

Tracking targets in large scale surveillance camera networks

A. Dick, H. Detmold, P. Torr

ARC Discovery Grant, 2010-12

Value $200,000

 

Real-time special effects in live video

A. van den Hengel, A. Dick

ARC Linkage Grant, 2010-12

Value $360,000

Partner Organisation: Canon Information Systems Research Australia

 

Image search for simulator content creation

A. van den Hengel, A. Dick

ARC Linkage Grant, 2010-12

Value $397,000

Partner Organisation: Sydac.

 

Accelerating Australia’s Large Scale Video Surveillance Research Programs

A van den Hengel, S Venkatesh, D. Suter, M. Brooks, J. Zhang, A. Dick, H. Detmold, M. Piccardi, M Lazarescu, C. Shen

ARC Linkage Infrastructure Grant, 2010

Value $280,000

 

Combined shape and appearance descriptors for visual object recognition

A. van den Hengel, and A., Dick,

ARC Discovery Grant, 2009-2011

Value $220,000.

Automated acquisition of surveillance-camera network topology.

ARC Discovery Grant, 2007-2009, Value $201,000.

What am I looking at? Recognising objects from image sets.

Google Research Grant, 2008 , Value $58,000.

 

Other

 

Exploiting contextual cues in large-scale machine learning

A. van den Hengel, C. Shen, A. Dick, Q. Shi.

Data to Decisions CRC, 2014-18

Value: ~$1.2M

 

Large Scale Image Classification

A. van den Hengel, C. Shen, A. Dick, Q. Shi.

Data to Decisions CRC, 2014-18,

Value: ~$1.0M

 

Automated Production of GeoSpatial Information

A. van den Hengel, C. Shen, A. Dick

Defence Systems Innovation Centre, 2012

Value: $90,000

 

Content Based Image Search

A. van den Hengel and A. Dick

DSTO Capability Technology Demonstrator Program, 2011

Value $683,000

Research Leader, Tracking of Humans in Cluttered Crowded Scenes

Research project with DSTO 2008 (value $50,000)

 

Research Leader, Colour Constancy for Video Surveillance

Research project with DSTO 2007 (value $100,000)

 

Research Leader, Video Processing for pan-tilt-zoom Cameras

Commercial research project with Canon Information Systems Research Australia 2005-7 (value $480,000)

 

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.

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 Part Time Boris Repasky
2020 Principal Supervisor Symbolic and Subsymbolic Information Processing in Machine Learning Doctor of Philosophy Doctorate Full Time Boris Repasky

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

Connect With Me

External Profiles

Other Links