Dr Yulia Hicks

2024

• Zhao, Z., Hicks, Y., Sun, X., McGuiness, B. and Lim, H. 2024. Lightweight and efficient attention-based CNN models for In-field strawberry instance segmentation. Presented at: 2024 IEEE 20th International Conference on Automation Science and Engineering, Bari, Italy, 28 August - 01 September 20242024 IEEE 20th International Conference on Automation Science and Engineering. Bari, Italy: IEEE
• Hartley, T., Hicks, Y., Davies, J. L., Cazzola, D. and Sheeran, L. 2024. BACK-to-MOVE: Machine learning and computer vision model automating clinical classification of non-specific low back pain for personalised management. PLoS ONE 19(5), article number: e0302899. (10.1371/journal.pone.0302899)

2023

• Zhao, Z., Hicks, Y., Sun, X. and Luo, C. 2023. Peach ripeness classification based on a new one-stage instance segmentation model. Computers and Electronics in Agriculture 214, article number: 108369. (10.1016/j.compag.2023.108369)

2022

• Tong, Y., Liang, Y., Spasic, I., Hicks, Y., Hu, H. and Liu, Y. 2022. A data-driven approach for integrating hedonic quality and pragmatic quality in user experience modelling. Journal of Computing and Information Science in Engineering 22(6), article number: 61002. (10.1115/1.4054155)
• Tong, Y., Liang, Y., Liu, Y., Spasic, I. and Hicks, Y. 2022. Understanding context of use from online customer reviews using BERT. Presented at: IEEE 18th International Conference on Automation Science and Engineering (CASE 2022), Mexico City, Mexico, 20-24 August 20222022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, (10.1109/CASE49997.2022.9926649)
• Grange, J. A., Princis, H., Kozlowski, T. R. W., Amadou-Dioffo, A., Wu, J., Hicks, Y. A. and Johansen, M. K. 2022. XAI & I: Self-explanatory AI facilitating mutual understanding between AI and human experts. Presented at: 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), 7-9 September 2022. Elsevier, (10.1016/j.procs.2022.09.419)
• Tong, T., Setchi, R. and Hicks, Y. 2022. Context change and triggers for human intention recognition. Procedia Computer Science 207, pp. 3826-3835. (10.1016/j.procs.2022.09.444)

2021

• Tong, Y., Liang, Y., Liu, Y., Hicks, Y. and Spasic, I. 2021. Integrating hedonic quality for user experience modelling. Presented at: ASME IDETC/CIE 2021, Virtual, 17-20 August 202141st Computers and Information in Engineering Conference (CIE) Proceedings, Vol. 2. ASME, (10.1115/DETC2021-69781)
• Woodgate, S. et al. 2021. Objectively characterizing Huntington’s disease using a novel upper limb dexterity test. Journal of Neurology 268, pp. 2550-2559. (10.1007/s00415-020-10375-8)
• Latham, J., Hicks, Y. A., Yang, X., Setchi, R. and Rainer, T. 2021. Stable automatic envelope estimation for noisy doppler ultrasound. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 68(3), pp. 465-481. (10.1109/TUFFC.2020.3011823)

2020

• Bacon, Z., Hicks, Y., Al-Amri, M. and Sheeran, L. 2020. Automatic low back pain classification using inertial measurement unit sensors: a preliminary analysis. Procedia Computer Science 176, pp. 2822-2831. (10.1016/j.procs.2020.09.272)
• Azzopardi, C., Camilleri, K. and Hicks, Y. A. 2020. Bimodal automated carotid ultrasound segmentation using geometrically constrained deep neural networks. IEEE Journal of Biomedical and Health Informatics 24(4), pp. 1004-1015. (10.1109/JBHI.2020.2965088)
• Umemura, K., Kawanaka, H., Hicks, Y., Setchi, R., Takamatsu, D. and Tsuruoka, S. 2020. A study on classification using machine learning for dementia evaluation. Presented at: IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020), Kyoto, Japan, 10-12 March 20202020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech). IEEE pp. 101-103., (10.1109/LifeTech48969.2020.1570619133)
• Umemura, K., Kawanaka, H. and Hicks, Y. 2020. A study on development of automatic dementia evaluation system by measurement of hand motor function. Denki Gakkai Ronbunshi. C, Denshi Joho Shisutemu Bumonshi / IEEJ Transactions on Electronics, Information and Systems 140(12), pp. 1365-1366. (10.1541/ieejeiss.140.1365)

2019

• Abbas, H. H., Hicks, Y., Zhurov, A., Marshall, D., Claes, P., Wilson-Nagrani, C. and Richmond, S. 2019. An automatic approach for classification and categorisation of lip morphological traits. PLoS ONE 14(10), article number: e0221197. (10.1371/journal.pone.0221197)
• Vilamala, M. R., Hiley, L., Hicks, Y., Preece, A. and Cerutti, F. 2019. A pilot study on detecting violence in videos fusing proxy models. Presented at: 22nd International Conference on Information Fusion, Ottawa, Canada, 2-5 July 2019.
• Hiley, L., Preece, A., Hicks, Y., Taylor, H. and Marshall, D. 2019. Discriminating spatial and temporal relevance in deep Taylor decompositions for explainable activity recognition. Presented at: 28th International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China, 10-16 August 2019.

2018

• Bennasar, M., Hicks, Y. A., Clinch, S. P., Jones, P., Holt, C., Rosser, A. and Busse-Morris, M. 2018. Automated assessment of movement impairment in Huntington's disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26(10), pp. 2062-2069. (10.1109/TNSRE.2018.2868170)
• Al-Saadi, A., Setchi, R. and Hicks, Y. 2018. Semantic reasoning in cognitive networks for heterogeneous wireless mesh systems. IEEE Transactions on Cognitive Communications and Networking 3(3), pp. 374-389. (10.1109/TCCN.2017.2712136)
• Kittler, J., Zor, C., Kaloskampis, I., Hicks, Y. and Wang, W. 2018. Error sensitivity analysis of Delta divergence - a novel measure for classifier incongruence detection. Pattern Recognition 77, pp. 30-44. (10.1016/j.patcog.2017.11.031)
• Abbas, H., Hicks, Y., Marshall, A., Zhurov, A. and Richmond, S. 2018. A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features. Computational Visual Media 4(1), pp. 17-32. (10.1007/s41095-017-0097-1)
• Alzamil, Y., Hicks, Y., Yang, X. and Marshall, C. 2018. Optimising graphical techniques applied to irreversible tracers. Presented at: 5th International Conference on Bioimaging, Optimising Graphical Techniques Applied to Irreversible Tracers, 19 - 21 January 2018.

2017

• Harbi, Z., Hicks, Y. and Setchi, R. 2017. Clock drawing test interpretation system. Procedia Computer Science 112, pp. 1641-1650. (10.1016/j.procs.2017.08.259)
• Azzopardi, C., Hicks, Y. A. and Camilleri, K. P. 2017. Automatic carotid ultrasound segmentation using deep convolutional neural networks and phase congruency maps. Presented at: 14th International Symposium on Biomedical Imaging, Melbourne, Australia, 18-21 Apr 201714th International Symposium on Biomedical Imaging (ISBI 2017). IEEE pp. 624-628., (10.1109/ISBI.2017.7950598)

2016

• Al-Saadi, A., Setchi, R. M., Hicks, Y. A. and Allen, S. M. 2016. Routing protocol for heterogeneous wireless mesh networks. IEEE Transactions on Vehicular Technology 65(12), pp. 9773-9786. (10.1109/TVT.2016.2518931)
• Dawood, S., Hicks, Y. and Marshall, D. 2016. Speech-driven facial animation using manifold relevance determination. In: Hua, G. and Jégou, H. eds. Computer Vision – ECCV 2016 Workshops., Vol. 9914. Lecture Notes in Computer Science Cham: Springer, pp. 869-882., (10.1007/978-3-319-48881-3_57)
• Shigemori, T., Kawanaka, H., Hicks, Y., Setchi, R., Takase, H. and Tsuruoka, S. 2016. Dementia detection using weighted direction index histograms and SVM for clock drawing test. Procedia Computer Science 96, pp. 1240-1248. (10.1016/j.procs.2016.08.168)
• Elmasri, K., Hicks, Y. A., Yang, X., Sun, X., Pettit, R. J. and Evans, W. 2016. Automatic detection and quantification of abdominal aortic calcification in dual energy X-ray absorptiometry. Procedia Computer Science 96, pp. 1011-1021. (10.1016/j.procs.2016.08.116)
• Bennasar, M., Hicks, Y. A., Clinch, S., Jones, P., Rosser, A. E., Busse, M. and Holt, C. A. 2016. Huntington's Disease assessment using tri axis accelerometers. Procedia Computer Science 96, pp. 1193-1201. (10.1016/j.procs.2016.08.163)
• Harbi, Z., Hicks, Y. A. and Setchi, R. M. 2016. Clock drawing test digit recognition using static and dynamic features. Procedia Computer Science 96, pp. 1221-1230. (10.1016/j.procs.2016.08.166)

2015

• Bennasar, M., Hicks, Y. and Setchi, R. 2015. Feature selection using Joint Mutual Information Maximisation. Expert Systems with Applications 42(22), pp. 8520-8532. (10.1016/j.eswa.2015.07.007)
• Azzopardi, C., Camilleri, K. P. and Hicks, Y. A. 2015. Carotid ultrasound segmentation using radio-frequency derived phase information and gabor filters. Presented at: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Milan, Italy, 25-29 August 20152015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015). Institute of Electrical and Electronics Engineers (IEEE) pp. 6338-6341., (10.1109/EMBC.2015.7319842)
• Mohammad, M. A., Kaloskampis, I., Hicks, Y. A. and Setchi, R. 2015. Ontology-based framework for risk assessment in road scenes using videos. Presented at: 19th Annual Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2015), Singapore, 7-9 September 2015Procedia Computer Science, Vol. 60. Elsevier pp. 1532-1541., (10.1016/j.procs.2015.08.300)
• Shigemori, T., Harbi, Z., Kawanaka, H., Hicks, Y. A., Setchi, R., Takase, H. and Tsuruoka, S. 2015. Feature extraction method for clock drawing test. Procedia Computer Science 60, pp. 1707-1714., article number: htto://dx.doi.org/10.1016/j.procs.2015.08.280. (10.1016/j.procs.2015.08.280)
• Harbi, Z., Hicks, Y. A., Setchi, R. and Bayer, A. J. 2015. Segmentation of clock drawings based on spatial and temporal features. Procedia Computer Science 60, pp. 1640-1648. (10.1016/j.procs.2015.08.274)
• Al-Saadi, A., Setchi, R. and Hicks, Y. A. 2015. Cognitive network framework for heterogeneous wireless networks. Procedia Computer Science 60, pp. 216-225. (10.1016/j.procs.2015.08.121)
• Asikhia, O. K., Setchi, R., Hicks, Y. A. and Walters, A. 2015. Conceptual framework for evaluating intuitive interaction based on image schemas. Interacting with Computers 27(3), pp. 287-310. (10.1093/iwc/iwu050)
• Mohammad, M. A., Kaloskampis, I. and Hicks, Y. 2015. Evolving GMMs for road-type classification. Presented at: 2015 IEEE International Conference on Industrial Technology (ICIT), Seville, Spain, 17-19 March 2015Industrial Technology (ICIT), 2015 IEEE International Conference on. IEEE pp. 1670-1673., (10.1109/ICIT.2015.7125337)
• Mohammad, M. A., Kaloskampis, I. and Hicks, Y. A. 2015. New method for evaluation of video segmentation quality. Presented at: International Conference on Computer Vision Theory and Applications (VISAPP 2015), Berlin, Germany, 11-14 March 2015. pp. -., (10.5220/0005306205230530)
• Marshall, A. D., Hicks, Y. A. and Abbas, H. 2015. Automatic classification of facial morphology for medical applications. Procedia Computer Science 60, pp. 1649-1658. (10.1016/j.procs.2015.08.275)
• Owen, A., Marshall, A. D., Sidorov, K., Hicks, Y. A. and Brown, R. 2015. Assistive sports video annotation: modelling and detecting complex events in sports video. Presented at: MathSport International 2015, Loughborough, UK, 29 June -- 1 July 2015Proc. MathSport International 2015. pp. 144-148.

2014

• Setchi, R. and Hicks, Y. A. 2014. Multi-rate medium access protocol based on enforcement learning. Presented at: IEEE international Conference on Systems, Man and Cybernetics, San Diego, CA, USA, 5-8 October 2014.
• Bennasar, M., Setchi, R., Hicks, Y. and Bayer, A. J. 2014. Cascade classification for diagnosing dementia. Presented at: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), San Diego, CA, USA, 5-8 October 20142014 IEEE International Conference on Systems, Man and Cybernetics (SMC). pp. 2535-2540., (10.1109/SMC.2014.6974308)
• Asikhia, O. K., Setchi, R., Hicks, Y. A. and Walters, A. 2014. Exploring sustainable design using image schemas. Presented at: International Conference on Sustainable Design and Manufacturing SDM'14,, Cardiff, UK, 28-30 April 2014Sustainable Design and Manufacturing Conference (SDM-14). pp. 67-78.
• Kaloskampis, I. and Hicks, Y. A. 2014. Estimating adaptive coefficients of evolving GMMs for online video segmentation. Presented at: 6th International Symposium on Communications, Control and Signal Processing, Athens, Greece, 21-23 May 20142014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP). Picastaway, NY: IEEE pp. 513-516., (10.1109/ISCCSP.2014.6877925)
• Peng, S., Hicks, Y. and Setchi, R. 2014. Joint EEG-fMRI model for EEG source separation. Presented at: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), San Diego, CA, 5-8 October 20142014 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE pp. 2234-2239., (10.1109/SMC.2014.6974257)
• Al-Saadi, A., Setchi, R., Hicks, Y. A. and Allen, S. M. 2014. Multi-rate medium access protocol based on reinforcement learning. Presented at: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), San Diego, CA, 5-8 October 2014Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on. IEEE pp. 2875-2880., (10.1109/SMC.2014.6974366)

2013

• Bennasar, M., Setchi, R., Bayer, A. J. and Hicks, Y. A. 2013. Feature selection based on information theory in the clock drawing test. Presented at: 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Kitakyushu, Japan, 9 -12 September 2013Procedia Computer Science, Vol. 22. pp. 902-911., (10.1016/j.procs.2013.09.173)
• Bennasar, M., Setchi, R. and Hicks, Y. A. 2013. Feature interaction maximisation. Pattern Recognition Letters 34(14), pp. 1630-1635. (10.1016/j.patrec.2013.04.002)
• Azzopardi, C., Hicks, Y. A. and Camilleri, K. P. 2013. Exploiting gastrointestinal anatomy for organ classification in capsule endoscopy using locality preserving projections. Presented at: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 3-7 July 2013 Presented at Sunagawa, K. and Roux, C. eds.Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Los Alamitos, CA: IEEE pp. 3654-3657., (10.1109/EMBC.2013.6610335)

2012

• Havell, B., Rosin, P. L., Sanei, S., Aubrey, A., Marshall, A. D. and Hicks, Y. A. 2012. A hybrid phoneme based clustering approach for audio driven facial animation. Presented at: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 25-30 March 20122012 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings. Los Alamitos, CA: IEEE pp. 2261-2264., (10.1109/ICASSP.2012.6288364)
• Bennasar, M., Setchi, R. and Hicks, Y. A. 2012. Unsupervised discretization method based on adjustable intervals. Presented at: KES 2012 - 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, San Sebastian, Spain, 10-12 September 2012 Presented at Graña, M. et al. eds.Advances in knowledge-based and intelligent information and engineering systems. Frontiers in Artificial Intelligence and Applications Vol. 243. Amsterdam: IOS Press pp. 79-87., (10.3233/978-1-61499-105-2-79)

2011

• Kaloskampis, I., Hicks, Y. A. and Marshall, A. D. 2011. Automatic analysis of composite activities in video sequences using Key Action Discovery and hierarchical graphical models. Presented at: 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Barcelona, Spain, 6-13 November 2011Proceedings of the 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). Los Alamitos, CA: IEEE pp. 890-897., (10.1109/ICCVW.2011.6130346)
• Kaloskampis, I., Hicks, Y. A. and Marshall, A. D. 2011. Analysing engineering tasks using a hybrid machine vision and knowledge based system application. Presented at: 12th IAPR Conference on Machine Vision Applications (MVA 2011), Nara, Japan, 13-15 June 2011Proceedings of the 12th IAPR Conference on Machine Vision Applications MVA 2011. Tokyo, Japan: MVA Organisation pp. 495-498.
• Kaloskampis, I., Hicks, Y. A. and Marshall, D. 2011. Reinforcing conceptual engineering design with a hybrid computer vision, machine learning and knowledge based system framework. Presented at: IEEE International Conference on Systems, Man, and Cybernetics, Anchorage, Alaska, USA, 9-12 October 2011IEEE SMC 2011 International Conference on Systems, Man and Cybernetics October 9-12, 2011 : Anchorage Alaska USA : Conference proceedings. Piscataway, N.J.: IEEE pp. 3242-3249., (10.1109/ICSMC.2011.6084169)

2010

• Aubrey, A., Hicks, Y. A. and Chambers, J. 2010. Visual voice activity detection with optical flow. IET Image Processing 4(6), pp. 463-472. (10.1049/iet-ipr.2009.0042)
• Havell, B., Hicks, Y. A., Marshall, D., Rosin, P. and S., S. 2010. Comparison of techniques for Audio Driven Facial Animation. Presented at: Proceedings of ACM/SSP Net Symposium on Facial Analysis and Animation, Edinburgh, UK.
• Charron, C. and Hicks, Y. A. 2010. An evolving MOG for online image sequence segmentation. Presented at: IEEE International Conference on Image processing (ICIP 2010), Hong Kong, China.

2009

• Ghodsi, M., Hassani, H., Sanei, S. and Hicks, Y. A. 2009. The use of noise information for detection of temporomandibular disorder. Biomedical Signal Processing and Control 4(2), pp. 79-85. (10.1016/j.bspc.2008.10.001)
• Zheng, Y., Hicks, Y. A., Marshall, D. and Cosker, D. P. 2009. Real-time generation of interactive virtual human behaviours. Presented at: Computer vision and computer graphics : theory and applications, Funchal-Madeira, Portugal, 22-25 January 2008 Presented at Ranchordas, A. et al. eds.Computer vision and Computer Graphics : Theory and Applications International Conference (VISIGRAPP 2008), Funchal-Madeira, Portugal, 22-25 January 2008, Vol. 24. Communications in computer and information science Springer pp. 70-82., (10.1007/978-3-642-10226-4_6)
• Charron, C., Hicks, Y. A. and Hall, P. 2009. Applying incremental learning to parallel image segmentation. Presented at: IEEE International Workshop on Emergent Issues in Large Amounts of Visual Data, Kyoto, Japan. pp. 2064-2071.
• Charron, C., Hicks, Y. A., Hall, P. and Cosker, D. 2009. Incremental learning of Dynamical Models of Faces. Presented at: Proceedings of (BMVC 2009) British Machine Vision Conference, London, UK.

2008

• Zheng, Y., Hicks, Y. A., Marshall, A. D. and Cosker, D. P. 2008. Generating human interactive behaviours using the windowed Viterbi algorithm. Presented at: 3rd International Conference on Computer Graphics Theory and Applications (GRAPP' 2008), Funchal, Portugal. pp. 353-358.

2007

• Mann, D. G., Bayer, M. M., Droop, S. J. M., Hicks, Y. A., Marshall, A. D., Martin, R. R. and Rosin, P. L. 2007. New methods for preparing, imaging and typifying desmids (Chlorophyta, Zygnematophyceae), including extended depth of focus and 3-D reconstruction. Phycologia 46(1), pp. 29-45. (10.2216/04-60.1)
• Ghodsi, M., Hassani, H., Sanei, S. and Hicks, Y. A. 2007. A new approach in detection of temporomandibular disorder using singular spectrum analysis. Presented at: Proceedings IEEE (ICSPC07), Dubai, UAE.
• Ghodsi, M., Sanei, S. and Hicks, Y. A. 2007. Detection of temporomandibular disorder from facial pattern. Presented at: Proceedings of 15th International Conference on Digital Signal Processing (DSP 2007), Cardiff, Uk.
• Ghodsi, M., Sanei, S., Hicks, Y. A., Lee, T. and S., D. 2007. A facial pattern recognition approach for detection of temporomandibular disorders. Presented at: 15th European Signal Processing Conference (EUSIPCO 2007), Poznan, Poland.
• Aubrey, A., Rivet, B., Hicks, Y. A., Girin, L., Chambers, J. and Jutten, C. 2007. Two novel visual voice activity detectors based on appearance models and retinal filtering. Presented at: 15th European Signal Processing Conference (EUSIPCO).
• Rivet, B., Aubrey, A., Girin, L., Hicks, Y. A., Jutten, C. and Chambers, J. 2007. Development and comparison of two approaches for visual speech analysis with application to voice activity detection.. Presented at: International Conference on Auditory Visual Speech Processing (AVSP), Hilvarenbeek, The Netherlands.

2006

• Zheng, Y., Hicks, Y. A., Cosker, D. P., Marshall, A. D., Mostaza, J. and Chambers, J. 2006. Virtual Friend: Tracking and Generating Natural Interactive Behaviours in Real Video. Presented at: ICSP '06: 2006 8th International Conference on Signal Processing, Guilin, China, 16-20 November 2006 Presented at Baozong, Y., Qiuqi, R. and Xiaofang, T. eds.Proceedings: ICSP '06: 2006 8th International Conference on Signal Processing, Vol. 2. Piscataway, NJ: IEEE Press, (10.1109/ICOSP.2006.345649)
• Hicks, Y. A., Marshall, A. D., Rosin, P. L., Martin, R. R., Mann, D. G. and Droop, S. J. M. 2006. A model of diatom shape and texture for analysis, synthesis and identification. Machine Vision and Applications 17(5), pp. 297-307. (10.1007/s00138-006-0035-1)
• Mann, D. G., Droop, S. J. M., Hicks, Y. A., Marshall, A. D., Martin, R. R. and Rosin, P. L. 2006. Alleviating the Taxonomic Impediment in Diatoms: Prospects for Automatic and Web-based Identification Systems. Presented at: 18th International Diatom Symposium, Międzyzdroje, Poland, 2-7 September 2004 Presented at Withowski, A. ed.Proceedings of the Eighteenth International Diatom Symposium. Bristol: Biopress pp. 265-285.
• Marshall, A. D., Cosker, D. P., Rosin, P. L. and Hicks, Y. A. 2006. Speech and expression driven animation of a video-realistic appearance based hierarchical facial model. Presented at: IEEE CVPR Workshop on Learning, Representation and Context for Human Sensing in Video, New York, NY, USA, 22 June 2006.
• Zhen, Y., Hicks, Y. A., Marshall, A. D. and Chambers, J. 2006. Generating 3D Interactive Behaviours. Presented at: 3rd European Conference on Visual Media Production (CVMP 2006), London, UK, 29-30 November 2006Proceedings: The 3rd European Conference on Visual Media Production (CVMP 2006): part of the 2nd Multimedia Conference 2006. London: Institution of Electrical Engineers pp. 178., (10.1049/cp:20061944)
• Aubrey, A. J., Hicks, Y. A., Lees, J. and Chambers, J. A. 2006. Using the bi-modality of speech for convolutive frequency domain blind source separation. Presented at: Proceedings of IMA 7th International Conference on Mathematics in Signal Processing, Cirencester, UK.
• Sidorov, K. A., Hicks, Y. A., Marshall, D., Sanei, S. and Chambers, J. A. 2006. Real time multi camera 3D tracking system. Presented at: Proceedings of the 3rd European Conference on Visual Media Production (CVMP 2006), London, UK.
• Zheng, Y., Hicks, Y. A., Cosker, D. P., Marshall, D. and Chambers, J. A. 2006. Generating 3D interactive behaviours.. Presented at: Proceedings of the 3rd European Conference on Visual Media Production (CVMP 2006), London, UK.
• Zheng, Y., Hicks, Y. A., Cosker, D. P., Marshall, D., Mostaza, J. C. and Chambers, J. A. 2006. Virtual Friend: Tracking and Generating Natural Interactive Behaviours in Real Video. Presented at: Proceedings of International Conference on Signal Processing (ICSP'2006), Guilin, China.

2005

• Wang, W., Cosker, D. P., Hicks, Y. A., Sanei, S. and Chambers, J. A. 2005. Video assisted speech source separation. Presented at: ICASSP 2005. IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, USA, 18-23 March 2005.
• Hicks, Y. A., Holt, C. A. and Marshall, D. 2005. Markerless motion capture with a single video camera. Presented at: 3rd International Conference on Biomechanics of the Lower Limb in Health, Disease and Rehabilitation, Salford, UK.
• Aubrey, A., Chambers, J. A., Hicks, Y. A., Sanei, S. and Marshall, D. 2005. Video assisted speech source separation. Presented at: Proceedings of the International Conference of Acoustic, Speech and Signal Processing (ICASSP 2005), Philadelphia, USA.

2004

• Cosker, D. P., Marshall, A. D., Rosin, P. L. and Hicks, Y. A. 2004. Speech-driven facial animation using a hierarchical model. IEE Proceedings - Vision Image and Signal Processing 151(4), pp. 314-321. (10.1049/ip-vis:20040752)
• Hicks, Y. A., Marshall, A. D., Martin, R. R., Rosin, P. L., Droop, S. J. M. and Mann, D. G. 2004. Building shape and texture models of diatoms for analysis and synthesis of drawings and identification. Presented at: Irish Machine Vision and Image Processing Conference, Dublin, 1-3 Sept 2004.
• Cosker, D. P., Marshall, A. D., Rosin, P. L. and Hicks, Y. A. 2004. Speech driven facial animation using a hidden Markov coarticulation model. Presented at: 17th International Conference on Pattern Recognition, Cambridge, UK, 23-26 August.
• Mann, D. G., Droop, S. J. M., Hicks, Y. A., Marshall, A. D., Martin, R. R. and Rosin, P. L. 2004. Heroic failure or new dawn? Image-based identification of microalgae. The Phycologist 66, pp. 24-25.

2003

• Hicks, Y. A., Hall, P. M. and Marshall, A. D. 2003. A method to add Hidden Markov Models with application to learning articulated motion. Presented at: British Machine Vision Conference, Norwich, England, 8-11 Sept 2003.
• Cosker, D. P., Marshall, A. D., Rosin, P. L. and Hicks, Y. A. 2003. Video realistic talking heads using hierarchical non-linear speech-appearance models. Presented at: Mirage 2003, Rocquencourt, France, 10-11 March 2003.
• Cosker, D. P., Marshall, A. D., Rosin, P. L. and Hicks, Y. A. 2003. Speaker-independent speech-driven facial animation using a hierarchical model. Presented at: International Conference on Visual Information Engineering 2003, University of Surrey, UK, 7-9 July 2003.

2002

• Hicks, Y. A., Marshall, A. D., Rosin, P. L., Martin, R. R., Bayer, M. M. and Mann, D. G. 2002. Modelling life cycle related and individual shape variation in biological specimens. Presented at: 13th British Machine Vision Conference, Cardiff, Wales, 2-5 Sept 2002.
• Hicks, Y. A., Marshall, A. D., Martin, R. R., Rosin, P. L., Bayer, M. M. and Mann, D. G. 2002. Automatic landmarking for building biological shape models. Presented at: 2002 International Conference on Image Processing, Rochester, New York, 22-25 Sept 2002.