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James Charles
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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
6832015
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
1922015
Domain-adaptive discriminative one-shot learning of gestures
T Pfister, J Charles, A Zisserman
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
1192014
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
1152016
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
1002014
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
932020
Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences).
T Pfister, J Charles, A Zisserman
BMVC, 2013
832013
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
622011
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
472013
Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts.
T Pfister, J Charles, M Everingham, A Zisserman
BMVC, 1-11, 2012
262012
Object segmentation within microscope images of palynofacies
JJ Charles, LI Kuncheva, B Wells, IS Lim
Computers & geosciences 34 (6), 688-698, 2008
252008
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
222022
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
192021
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
182022
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
182014
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
142021
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
132017
Virtual immortality: Reanimating characters from tv shows
J Charles, D Magee, D Hogg
European Conference on Computer Vision, 879-886, 2016
132016
The survival of Aboriginal Australians through the harshest time in human history: Community strength
J Charles, L O'Brien
Deakin University, 2020
122020
An evaluation measure of image segmentation based on object centres
JJ Charles, LI Kuncheva, B Wells, IS Lim
Image Analysis and Recognition: Third International Conference, ICIAR 2006 …, 2006
102006
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