| Background Subtraction with Dirichlet Process Mixture Models TSF Haines, T Xiang Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (4), 670-683, 2014 | 230 | 2014 |
| Background subtraction with dirichlet processes TSF Haines, T Xiang Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 84 | 2012 |
| My Text in Your Handwriting TSF Haines, OM Aodha, GJ Brostow Transactions on Graphics, 2016 | 62 | 2016 |
| Dirichlet process Gaussian-mixture model: An application to localizing coalescing binary neutron stars with gravitational-wave observations W Del Pozzo, CPL Berry, A Ghosh, TSF Haines, LP Singer, A Vecchio Monthly Notices of the Royal Astronomical Society 479 (1), 601-614, 2018 | 44 | 2018 |
| Delta-dual hierarchical dirichlet processes: A pragmatic abnormal behaviour detector TSF Haines, T Xiang 2011 International Conference on Computer Vision, 2198-2205, 2011 | 32 | 2011 |
| Active rare class discovery and classification using dirichlet processes TSF Haines, T Xiang International Journal of Computer Vision 106, 315-331, 2014 | 24 | 2014 |
| Integrating stereo with shape-from-shading derived orientation information TF Haines, RC Wilson British Machine Vision Conference (BMVC), 2007 | 20 | 2007 |
| Texture stationarization: Turning photos into tileable textures J Moritz, S James, TSF Haines, T Ritschel, T Weyrich Computer graphics forum 36 (2), 177-188, 2017 | 18 | 2017 |
| Active learning using dirichlet processes for rare class discovery and classification TF Haines, T Xiang British Machine Vision Conference, 2011 | 15 | 2011 |
| Video topic modelling with behavioural segmentation TSF Haines, T Xiang Proceedings of the 1st ACM international workshop on Multimodal pervasive …, 2010 | 12 | 2010 |
| Belief propagation with directional statistics for solving the shape-from-shading problem TSF Haines, RC Wilson Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 12 | 2008 |
| Combining shape-from-shading and stereo using Gaussian-Markov random fields TSF Haines, RC Wilson 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 8 | 2008 |
| Challenges of labelling unknown seabed munition dumpsites from acoustic and optical surveys: A case study at Skagerrak O Bryan, RE Hansen, TSF Haines, N Warakagoda, A Hunter Remote Sensing 14 (11), 2619, 2022 | 7 | 2022 |
| Gaussian conjugate prior cheat sheet TSF Haines | 6 | 2011 |
| Integrating Shape-from-Shading & Stereopsis TSF Haines University of York, 2009 | 5 | 2009 |
| Synthetic cannabinoid receptor agonists are monoamine oxidaseA selective inhibitors SA Hindson, RC Andrews, MJ Danson, MW Van der Kamp, AE Manley, ... The FEBS Journal 290 (12), 3243-3257, 2023 | 4 | 2023 |
| Photochemical fingerprinting is a sensitive probe for the detection of synthetic cannabinoid receptor agonists; toward robust point-of-care detection RC Andrews, B May, FJ Hernández, GE Cozier, PA Townsend, ... Analytical Chemistry 95 (2), 703-713, 2023 | 4 | 2023 |
| Instant detection of synthetic cannabinoids on physical matrices, implemented on a low-cost, ultraportable device GE Cozier, RC Andrews, A Frinculescu, R Kumar, B May, T Tooth, ... Analytical Chemistry 95 (37), 13829-13837, 2023 | 1 | 2023 |
| Automatic recognition of underwater munitions from multi-view sonar surveys using semi supervised machine learning: a simulation study O Bryan, TSF Haines, A Hunter, RE Hansen, N Warakagoda Proceedings of Meetings on Acoustics 47 (1), 2022 | 1 | 2022 |
| Swipe mosaics from video M Reynolds, TSF Haines, GJ Brostow arXiv preprint arXiv:1609.08080, 2016 | 1 | 2016 |
Tao XiangUniversity of Surrey; Meta AI在 surrey.ac.uk 的电子邮件经过验证
