Obserwuj
Philip O. Ogunbona
Philip O. Ogunbona
Professor of Computer Science, University of Wollongong
Zweryfikowany adres z uow.edu.au
Tytuł
Cytowane przez
Cytowane przez
Rok
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
6642017
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
5282018
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
4682018
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
3542015
Human detection from images and videos: A survey
DT Nguyen, W Li, PO Ogunbona
Pattern Recognition 51, 148-175, 2016
3312016
RGB-D-based action recognition datasets: A survey
J Zhang, W Li, PO Ogunbona, P Wang, C Tang
Pattern Recognition 60, 86-105, 2016
3102016
Modelling context and syntactical features for aspect-based sentiment analysis
MH Phan, PO Ogunbona
Proceedings of the 58th annual meeting of the association for computational …, 2020
2202020
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
1822001
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
1812018
Recent advances in transfer learning for cross-dataset visual recognition: A problem-oriented perspective
J Zhang, W Li, P Ogunbona, D Xu
ACM Computing Surveys (CSUR) 52 (1), 1-38, 2019
1792019
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
1722017
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
1172016
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
1172015
Cooperative training of deep aggregation networks for RGB-D action recognition
P Wang, W Li, J Wan, P Ogunbona, X Liu
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
1152018
An efficient iterative algorithm for image thresholding
L Dong, G Yu, P Ogunbona, W Li
Pattern Recognition Letters 29 (9), 1311-1316, 2008
1132008
Investigation of different skeleton features for cnn-based 3d action recognition
Z Ding, P Wang, PO Ogunbona, W Li
2017 IEEE International conference on multimedia & expo workshops (ICMEW …, 2017
1092017
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
992014
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
982010
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
Detection and separation of smoke from single image frames
H Tian, W Li, PO Ogunbona, L Wang
IEEE Transactions on Image Processing 27 (3), 1164-1177, 2017
822017
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