Philip O. Ogunbona
Philip O. Ogunbona
Professor of Computer Science, University of Wollongong
Verified email at uow.edu.au
Title
Cited by
Cited by
Year
Action recognition from depth maps using deep convolutional neural networks
P Wang, W Li, Z Gao, J Zhang, C Tang, PO Ogunbona
IEEE Transactions on Human-Machine Systems 46 (4), 498-509, 2015
2182015
Joint geometrical and statistical alignment for visual domain adaptation
J Zhang, W Li, P Ogunbona
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2102017
RGB-D-based action recognition datasets: A survey
J Zhang, W Li, PO Ogunbona, P Wang, C Tang
Pattern Recognition 60, 86-105, 2016
1792016
Human detection from images and videos: A survey
DT Nguyen, W Li, PO Ogunbona
Pattern Recognition 51, 148-175, 2016
1492016
Signal analysis using a multiresolution form of the singular value decomposition
R Kakarala, PO Ogunbona
IEEE Transactions on Image processing 10 (5), 724-735, 2001
1482001
RGB-D-based human motion recognition with deep learning: A survey
P Wang, W Li, P Ogunbona, J Wan, S Escalera
Computer Vision and Image Understanding 171, 118-139, 2018
1472018
Importance weighted adversarial nets for partial domain adaptation
J Zhang, Z Ding, W Li, P Ogunbona
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1252018
Convnets-based action recognition from depth maps through virtual cameras and pseudocoloring
P Wang, W Li, Z Gao, C Tang, J Zhang, P Ogunbona
Proceedings of the 23rd ACM international conference on Multimedia, 1119-1122, 2015
922015
An efficient iterative algorithm for image thresholding
L Dong, G Yu, P Ogunbona, W Li
Pattern Recognition Letters 29 (9), 1311-1316, 2008
882008
On multiple watermarking
NP Sheppard, R Safavi-Naini, P Ogunbona
Proceedings of the 2001 workshop on Multimedia and security: new challenges, 3-6, 2001
882001
Scene flow to action map: A new representation for rgb-d based action recognition with convolutional neural networks
P Wang, W Li, Z Gao, Y Zhang, C Tang, P Ogunbona
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
802017
Discriminative key pose extraction using extended lc-ksvd for action recognition
L Zhou, W Li, Y Zhang, P Ogunbona, DT Nguyen, H Zhang
2014 International Conference on Digital Image Computing: Techniques and …, 2014
712014
Object detection using non-redundant local binary patterns
DT Nguyen, Z Zong, P Ogunbona, W Li
2010 IEEE International Conference on Image Processing, 4609-4612, 2010
712010
Large-scale isolated gesture recognition using convolutional neural networks
P Wang, W Li, S Liu, Z Gao, C Tang, P Ogunbona
2016 23rd International Conference on Pattern Recognition (ICPR), 7-12, 2016
702016
A novel shape-based non-redundant local binary pattern descriptor for object detection
DT Nguyen, PO Ogunbona, W Li
Pattern recognition 46 (5), 1485-1500, 2013
562013
On the computational complexity of the LBG and PNN algorithms
J Shanbehzadeh, PO Ogunbona
IEEE Transactions on Image Processing 6 (4), 614-616, 1997
551997
Depth pooling based large-scale 3-d action recognition with convolutional neural networks
P Wang, W Li, Z Gao, C Tang, PO Ogunbona
IEEE Transactions on Multimedia 20 (5), 1051-1061, 2018
522018
Smoke detection in videos using non-redundant local binary pattern-based features
H Tian, W Li, P Ogunbona, DT Nguyen, C Zhan
2011 IEEE 13th International workshop on multimedia signal processing, 1-4, 2011
502011
Economic-emission dispatch problem: A semi-definite programming approach
AM Jubril, OA Olaniyan, OA Komolafe, PO Ogunbona
Applied energy 134, 446-455, 2014
492014
Smoke detection in video: an image separation approach
H Tian, W Li, L Wang, P Ogunbona
International journal of computer vision 106 (2), 192-209, 2014
472014
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