Philip O. Ogunbona

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Wanqing LiProfessor, University of WollongongPatvirtintas el. paštas uow.edu.au
Duc Thanh NguyenDeakin UniversityPatvirtintas el. paštas deakin.edu.au
Jing ZhangSchool of Software, Beihang UniversityPatvirtintas el. paštas buaa.edu.cn
Pichao WANGAmazon AGIPatvirtintas el. paštas amazon.com
Chang TangSenior Member of IEEE/CCF, School of Computer Science, China University of Geosciences, Wuhan, ChinaPatvirtintas el. paštas cug.edu.cn
Reihaneh Safavi -NainiUniversity of CalgaryPatvirtintas el. paštas ucalgary.ca
Zhimin GaoZhengzhou UniversityPatvirtintas el. paštas zzu.edu.cn
Ce ZhanResMedPatvirtintas el. paštas resmed.com.au
Lei WangSchool of Computing and Information Technology, University of WollongongPatvirtintas el. paštas uow.edu.au
Hongda TianUTS; DATA61 | CSIRO; UOW; BUPTPatvirtintas el. paštas uts.edu.au
Jamshid ShanbehzadehProfessor Kharazmi UniversityPatvirtintas el. paštas khu.ac.ir
golshah NaghdyAssociate Professor SECTE UOWPatvirtintas el. paštas uow.edu.au
Farzad SafaeiUniversity of WollongongPatvirtintas el. paštas uow.edu.au
Luping ZhouSchool of Electrical and Computer Engineering, University of SydneyPatvirtintas el. paštas sydney.edu.au
Abimbola JubrilObafemi Awolowo University, Ile-Ife, Nigeria, Achievers University, Owo, NigeriaPatvirtintas el. paštas oauife.edu.ng
Ramakrishna KakaralaOmnivision Technologies, IncPatvirtintas el. paštas ieee.org
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligencePatvirtintas el. paštas shanghaitech.edu.cn
Lingqiao LiuAssociate Professor at the University of AdelaidePatvirtintas el. paštas adelaide.edu.au
Nicholas Paul SheppardSenor Lecturer of Practice in Computing, Western Sydney UniversityPatvirtintas el. paštas westernsydney.edu.au
Alister CordinerPatvirtintas el. paštas cordiner.net

Stebėti

Philip O. Ogunbona

Professor of Computer Science, University of Wollongong

Patvirtintas el. paštas uow.edu.au

Image Processing Signal Processing Pattern Recognition Machine Learning Computer Vision


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	662	2017
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	523	2018
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	466	2018
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	354	2015
Human detection from images and videos: A survey DT Nguyen, W Li, PO Ogunbona Pattern Recognition 51, 148-175, 2016	330	2016
RGB-D-based action recognition datasets: A survey J Zhang, W Li, PO Ogunbona, P Wang, C Tang Pattern Recognition 60, 86-105, 2016	309	2016
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	215	2020
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	182	2001
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	180	2018
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	179	2019
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	171	2017
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	117	2015
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	116	2016
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	115	2018
An efficient iterative algorithm for image thresholding L Dong, G Yu, P Ogunbona, W Li Pattern Recognition Letters 29 (9), 1311-1316, 2008	113	2008
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	108	2017
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	98	2014
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	97	2010
On multiple watermarking NP Sheppard, R Safavi-Naini, P Ogunbona Proceedings of the 2001 workshop on Multimedia and security: new challenges, 3-6, 2001	88	2001
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	82	2017

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