Dr Kirill Sidorov

2024

• Alqurashi, N. , Li, Y. and Sidorov, K. 2024. Improving speech emotion recognition through hierarchical classification and text integration for enhanced emotional analysis and contextual understanding. Presented at: International Joint Conference on Neural Networks Yokohama, Japan 30 June – 5 July 2024. Proceedings of IJCNN. IEEE. , pp.1-8. (10.1109/IJCNN60899.2024.10650087)
• Alqurashi, N. et al. 2024. Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text. Presented at: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium 9-11 October 2024. ESANN 2024 - Proceedings.
• Hulme, E. et al. 2024. Acoustic classification of guitar tunings with deep learning. Presented at: DLfM 2024 Stellenbosh, South Africa 27 June 2024. Proceedings of the 11th International Conference on Digital Libraries for Musicology. ACM. , pp.6-14. (10.1145/3660570.3660574)

2021

• Humphreys, D. et al. 2021. An investigation of music analysis by the application of grammar-based compressors. Journal of New Music Research 50 (4), pp.312-341. (10.1080/09298215.2021.1978505)
• Schroeter, J. , Sidorov, K. and Marshall, A. 2021. Learning multi-instance sub-pixel point localization. Presented at: 15th Asian Conference on Computer Vision (ACCV 2020) Virtual (Kyoto) 30 November - 4 December 2020. Published in: Ishikawa, H. et al., Proceedings of Computer Vision – ACCV 2020. Vol. 12626.Springer. , pp.669-686. (10.1007/978-3-030-69541-5_40)
• Hartley, T. et al. 2021. SWAG: Superpixels weighted by average gradients for explanations of CNNs. Presented at: Winter Conference on Applications of Computer Vision (WACV 2021) Online / Waikoloa, HI, USA 5-9 January 2021. Proceedings of the Winter Conference on Applications of Computer Vision. IEEE. , pp.423-432. (10.1109/WACV48630.2021.00047)

2020

• Redfern, J. et al. 2020. Association of violence with urban points of interest. PLoS ONE 15 (9) e0239840. (10.1371/journal.pone.0239840)
• Schroeter, J. , Sidorov, K. and Marshall, A. 2020. Robust temporal point event localization through smoothing and counting. Presented at: ICML Workshop on Uncertainty & Robustness in Deep Learning (UDL) 2020 Online July 17, 2020.

2019

• Schroeter, J. , Sidorov, K. and Marshall, D. 2019. Weakly-supervised temporal localization via occurrence count learning. Presented at: 36th International Conference on Machine Learning Long Beach, CA, USA 9-15 June 2019. Published in: Chaudhuri, K. and Salakhutdinov, R. eds. Proceedings of Machine Learning Research. Volume 97: International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA. Vol. 97., pp.5649-5659.

2018

• Sidorov, K. A. 2018. Estimating the age of birch bark manuscripts using computational paleography. Programming and Computer Software 44 , pp.286-294. (10.1134/S0361768818040114)
• Syed, Z. S. et al., 2018. Computational paralinguistics: Automatic assessment of emotions, mood and behavioural state from acoustics of speech. Presented at: Interspeech 2018 Hyderabad, India 2--6 September 2018.

2017

• Redfern, J. et al. 2017. An open-data, agent-based model of alcohol related crime. Presented at: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) Lecce 29 August - 1 September 2017. Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference. IEEE Xplore(10.1109/AVSS.2017.8078513)
• Syed, Z. S. , Sidorov, K. and Marshall, D. 2017. Depression severity prediction based on biomarkers of psychomotor retardation. Presented at: 7th Annual Workshop on Audio/Visual Emotion Challenge 23 October 2017 Mountain View, CA, USA. AVEC '17: Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge. New York: ACM. , pp.37-43. (10.1145/3133944.3133947)
• Sidorov, K. 2017. Paleographic dating of birch bark manuscripts. Presented at: GraphiCon' 2017 Perm, Russia 24-28 September 2017.

2016

• Sidorov, K. , Jones, A. C. and Marshall, A. D. 2016. A smallest grammar approach to the symbolic analysis of music. In: Kostagiolas, P. , Martzoukou, K. and Lavranos, C. eds. Trends in Music Information Seeking, Behavior, and Retrieval for Creativity. Advances in Multimedia and Interactive Technologies Hershey, Pennsylvania, USA: IGI Global. , pp.228-257. (10.4018/978-1-5225-0270-8.ch011)

2015

• Owen, A. et al. 2015. Assistive sports video annotation: modelling and detecting complex events in sports video. Presented at: MathSport International 2015 Loughborough, UK 29 June -- 1 July 2015. Proc. MathSport International 2015. , pp.144-148.

2014

• Sidorov, K. A. and Marshall, A. D. 2014. Learnt real-time meshless simulation. Computer Graphics Forum 33 (5), pp.147-156. (10.1111/cgf.12440)
• Sidorov, K. et al. 2014. muTunes: a study of musicality perception in an evolutionary context. Presented at: 40th International Computer Music Conference (ICMC '14) Athens, Greece 14-20 September 2014.
• Sidorov, K. , Jones, A. C. and Marshall, D. 2014. Music analysis as a shortest grammar problem. Presented at: 15th International Society for Music Information Retrieval Conference (ISMIR '14) Taipei, Taiwan 27-31 October 2014.

2013

• Wang, H. et al., 2013. Harmonic Parameterization by Electrostatics. ACM Transactions on Graphics 32 (5) 155. (10.1145/2503177)

2012

• Richmond, S. et al. 2012. Detailing patient specific modeling to aid clinical decision-making. Lecture Notes in Computational Vision and Biomechanics 5 , pp.105-131. (10.1007/978-94-007-4552-0_5)

2011

• Sidorov, K. A. , Richmond, S. and Marshall, A. D. 2011. Efficient groupwise non-rigid registration of textured surfaces. Presented at: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011) Colorado Springs, CO, USA 20-25 June 2011. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, Providence, RI, 20-25 June 2011. Los Alamitos, CA: IEEE. , pp.2401-2408. (10.1109/CVPR.2011.5995632)

2010

• Sidorov, K. A. 2010. Groupwise non-rigid registration for automatic construction of appearance models of the human craniofacial complex for analysis, synthesis and simulation. PhD Thesis , Cardiff University.

2009

• Sidorov, K. A. , Richmond, S. and Marshall, A. D. 2009. An efficient stochastic approach to groupwise non-rigid image registration. Presented at: CVPR 2009 Miami Beach, FL, USA 20-25 June 2009. IEEE Conference on Computer Vision and Pattern Recognition, 2009 (CVPR 2009), Miami, FL, 20-25 June 2009. Los Alamitos, CA: IEEE. , pp.2208-2213. (10.1109/CVPR.2009.5206516)
• Sidorov, K. A. , Richmond, S. and Marshall, D. 2009. An efficient stochastic approach to groupwise non-rigid image registration. IEEE. (10.1109/CVPRW.2009.5206516)

2007

• Sidorov, K. A. et al. 2007. Towards efficient 3D facial appearance models. Presented at: The ACM SIGGRAPH / Eurographics Symposium on Computer Animation San Diego, CA, USA 3-4 August 2007. Published in: Gleicher, M. and Thalmann, D. eds. Computer Animation 2007 : ACM SIGGRAPH/Eurographics Symposium on Computer Animation : San Diego, California, August 3-4, 2007. New York, N.Y.: Eurographics Association. , pp.1-2.

2006

• Cosker, D. P. et al. 2006. Discovering Realistic Facial Dynamics for Animation. Presented at: The 3rd European Conference on Visual Media Production (CVMP 2006) London, UK 29–30 November 2006. Published in: Grau, O. ed. Proceedings: The 3rd European Conference on Visual Media Production (CVMP 2006): part of the 2nd Multimedia Conference 2006. London: Institution of Electrical Engineers. , pp.173.
• Sidorov, K. A. et al. 2006. Real time multi camera 3D tracking system. Presented at: Proceedings of the 3rd European Conference on Visual Media Production (CVMP 2006) London, UK