Philip O. Ogunbona
Philip O. Ogunbona
Professor of Computer Science, University of Wollongong
Verified email at uow.edu.au
TitleCited byYear
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
1792015
RGB-D-based action recognition datasets: A survey
J Zhang, W Li, PO Ogunbona, P Wang, C Tang
Pattern Recognition 60, 86-105, 2016
1392016
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
1382001
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
1162017
Human detection from images and videos: A survey
DT Nguyen, W Li, PO Ogunbona
Pattern Recognition 51, 148-175, 2016
1112016
On multiple watermarking
NP Sheppard, R Safavi-Naini, P Ogunbona
Proceedings of the 2001 workshop on Multimedia and security: new challenges, 3-6, 2001
872001
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
852018
An efficient iterative algorithm for image thresholding
L Dong, G Yu, P Ogunbona, W Li
Pattern Recognition Letters 29 (9), 1311-1316, 2008
842008
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
762015
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
672010
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
622017
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
602018
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
582014
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
572016
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
512013
On the computational complexity of the LBG and PNN algorithms
J Shanbehzadeh, PO Ogunbona
IEEE Transactions on Image Processing 6 (4), 614-616, 1997
511997
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
442011
Economic-emission dispatch problem: A semi-definite programming approach
AM Jubril, OA Olaniyan, OA Komolafe, PO Ogunbona
Applied energy 134, 446-455, 2014
432014
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
422014
Securing wavelet compression with random permutations
T Uehara, R Safavi-Naini, P Ogunbona
422000
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