| Flowing convnets for human pose estimation in videos T Pfister, J Charles, A Zisserman Proceedings of the IEEE international conference on computer vision, 1913-1921, 2015 | 726 | 2015 |
| Deep convolutional neural networks for efficient pose estimation in gesture videos T Pfister, K Simonyan, J Charles, A Zisserman Computer Vision–ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 205 | 2015 |
| Personalizing human video pose estimation J Charles, T Pfister, D Magee, D Hogg, A Zisserman Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 125 | 2016 |
| Domain-adaptive discriminative one-shot learning of gestures T Pfister, J Charles, A Zisserman Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 122 | 2014 |
| Who left the dogs out? 3d animal reconstruction with expectation maximization in the loop B Biggs, O Boyne, J Charles, A Fitzgibbon, R Cipolla Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 121 | 2020 |
| Automatic and efficient human pose estimation for sign language videos J Charles, T Pfister, M Everingham, A Zisserman International Journal of Computer Vision 110, 70-90, 2014 | 105 | 2014 |
| Large-scale learning of sign language by watching TV T Pfister, J Charles, A Zisserman British Machine Vision Association and Society for Pattern Recognition, 2013 | 83 | 2013 |
| Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect J Charles, M Everingham 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 62 | 2011 |
| From fibre to function: are we accurately representing muscle architecture and performance? J Charles, R Kissane, T Hoehfurtner, KT Bates Biological Reviews 97 (4), 1640-1676, 2022 | 53 | 2022 |
| Domain adaptation for upper body pose tracking in signed TV broadcasts J Charles, T Pfister, D Magee, D Hogg, A Zisserman Proceedings British Machine Vision Conference 2013, 2013 | 49 | 2013 |
| Real-time analogue gauge transcription on mobile phone B Howells, J Charles, R Cipolla Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 31 | 2021 |
| Discrete neural representations for explainable anomaly detection S Szymanowicz, J Charles, R Cipolla Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 29 | 2022 |
| Automatic and efficient long term arm and hand tracking for continuous sign language TV broadcasts T Pfister, J Charles, M Everingham, A Zisserman British Machine Vision Association, 2012 | 28 | 2012 |
| Object segmentation within microscope images of palynofacies JJ Charles, LI Kuncheva, B Wells, IS Lim Computers & geosciences 34 (6), 688-698, 2008 | 26 | 2008 |
| X-MAN: Explaining multiple sources of anomalies in video S Szymanowicz, J Charles, R Cipolla Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 23 | 2021 |
| Upper body pose estimation with temporal sequential forests J Charles, T Pfister, D Magee, D Hogg, A Zisserman BMVC 2014-Proceedings of the British Machine Vision Conference 2014, 2014 | 20 | 2014 |
| The survival of Aboriginal Australians through the harshest time in human history: Community strength JA Charles, L O'Brien Deakin University, 2020 | 15 | 2020 |
| Latent dirichlet allocation for unsupervised activity analysis on an autonomous mobile robot P Duckworth, M Alomari, J Charles, D Hogg, A Cohn Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 15 | 2017 |
| Virtual immortality: Reanimating characters from tv shows J Charles, D Magee, D Hogg European Conference on Computer Vision, 879-886, 2016 | 15 | 2016 |
| Skeletal muscle function underpins muscle spindle abundance RWP Kissane, JP Charles, RW Banks, KT Bates Proceedings of the Royal Society B 289 (1976), 20220622, 2022 | 14 | 2022 |
Andrew ZissermanUniversity of OxfordEmail yang diverifikasi di robots.ox.ac.uk