Richard Bowden
Richard Bowden
Professor of Computer Vision and Machine Learning, CVSSP, University of Surrey
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An improved adaptive background mixture model for real-time tracking with shadow detection
P KaewTraKulPong, R Bowden
Video-based surveillance systems: Computer vision and distributed processing …, 2002
The Visual Object Tracking VOT2015 challenge results
IEEE Int. Conf on Computer Vision Workshops at ICCV2015, 564-586, 2015
The Visual Object Tracking VOT2014 Challenge Results
M Kristan, R Pflugfelder, A Leonardis, J Matas, L Čehovin, G Nebehay, ...
ECCV 2014: Computer Vision - ECCV 2014 Workshops 8926, 191-217, 2014
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018
Neural sign language translation
NC Camgoz, S Hadfield, O Koller, H Ney, R Bowden
Proceedings of the IEEE conference on computer vision and pattern …, 2018
A survey of deep learning applications to autonomous vehicle control
S Kuutti, R Bowden, Y Jin, P Barber, S Fallah
IEEE Transactions on Intelligent Transportation Systems 22 (2), 712-733, 2020
Spelling it out: Real-time ASL fingerspelling recognition
N Pugeault, R Bowden
2011 IEEE International conference on computer vision workshops (ICCV …, 2011
Sign language transformers: Joint end-to-end sign language recognition and translation
NC Camgoz, O Koller, S Hadfield, R Bowden
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Local binary patterns for multi-view facial expression recognition
S Moore, R Bowden
Computer vision and image understanding 115 (4), 541-558, 2011
A boosted classifier tree for hand shape detection
EJ Ong, R Bowden
Sixth IEEE International Conference on Automatic Face and Gesture …, 2004
Subunets: End-to-end hand shape and continuous sign language recognition
N Cihan Camgoz, S Hadfield, O Koller, R Bowden
Proceedings of the IEEE international conference on computer vision, 3056-3065, 2017
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled.
BR Koller O, Ney H
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
The Visual Object Tracking VOT2017 challenge results
Kristan M, Leonardis A, Matas J, Felsberg M, Pflugfelder R, Cehovin Zajc L ...
In IEEE International Conference on Computer Vision Workshop (ICCVW), 1949-1972, 0
Sign language recognition
H Cooper, B Holt, R Bowden
Visual Analysis of Humans: Looking at People, 539-562, 2011
Weakly supervised learning with multi-stream CNN-LSTM-HMMs to discover sequential parallelism in sign language videos
O Koller, NC Camgoz, H Ney, R Bowden
IEEE transactions on pattern analysis and machine intelligence 42 (9), 2306-2320, 2019
D’ya like dags? a survey on structure learning and causal discovery
MJ Vowels, NC Camgoz, R Bowden
ACM Computing Surveys 55 (4), 1-36, 2022
Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition.
O Koller, S Zargaran, H Ney, R Bowden
BMVC, 136.1-136.12, 2016
Sign language recognition using sub-units
H Cooper, EJ Ong, N Pugeault, R Bowden
The Journal of Machine Learning Research 13 (1), 2205-2231, 2012
A linguistic feature vector for the visual interpretation of sign language
R Bowden, D Windridge, T Kadir, A Zisserman, M Brady
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
Action recognition using mined hierarchical compound features
A Gilbert, J Illingworth, R Bowden
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (5), 883-897, 2010
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