Zongyuan Ge
Zongyuan Ge
Medical AI Group Leader; Senior Lecturer & Fellow at Monash University
Verified email at monash.edu - Homepage
Cited by
Cited by
Simple online and realtime tracking
A Bewley, Z Ge, L Ott, F Ramos, B Upcroft
2016 IEEE International Conference on Image Processing (ICIP), 3464-3468, 2016
Deepfruits: A fruit detection system using deep neural networks
I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool
Sensors 16 (8), 1222, 2016
FDCNet: filtering deep convolutional network for marine organism classification
H Lu, Y Li, T Uemura, Z Ge, X Xu, L He, S Serikawa, H Kim
Multimedia tools and applications 77 (17), 21847-21860, 2018
Structured deep hashing with convolutional neural networks for fast person re-identification
L Wu, Y Wang, Z Ge, Q Hu, X Li
Computer Vision and Image Understanding 167, 63-73, 2018
Modelling local deep convolutional neural network features to improve fine-grained image classification
ZY Ge, C McCool, C Sanderson, P Corke
2015 IEEE International Conference on Image Processing (ICIP), 4112-4116, 2015
Generative OpenMax for Multi-Class Open Set Classification
ZY Ge, S Demyanov, Z Chen, R Garnavi
The British Machine Vision Conference (BMVC 2017), 2017
Fine-grained classification via mixture of deep convolutional neural networks
ZY Ge, A Bewley, C McCool, P Corke, B Upcroft, C Sanderson
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-6, 2016
Content Specific Feature Learning for Fine-Grained Plant Classification.
ZY Ge, C McCool, C Sanderson, P Corke
CLEF: Conference and Labs of the Evaluation Forum, 2015
Subset feature learning for fine-grained category classification
ZY Ge, C McCool, C Sanderson, P Corke
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Local inter-session variability modelling for object classification
K Anantharajah, ZY Ge, C McCool, S Denman, C Fookes, P Corke, ...
IEEE winter conference on applications of computer vision, 309-316, 2014
Learning context flexible attention model for long-term visual place recognition
Z Chen, L Liu, I Sa, Z Ge, M Chli
IEEE Robotics and Automation Letters 3 (4), 4015-4022, 2018
Skin disease recognition using deep saliency features and multimodal learning of dermoscopy and clinical images
Z Ge, S Demyanov, R Chakravorty, A Bowling, R Garnavi
(MICCAI 2017) International Conference on Medical Image Computing and …, 2017
Sim-to-real transfer of visuo-motor policies for reaching in clutter: Domain randomization and adaptation with modular networks
F Zhang, J Leitner, M Milford, P Corke
world 7 (8), 2017
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging
Z Ge, S Demyanov, B Bozorgtabar, M Abedini, R Chakravorty, A Bowling, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
The adsorption of Eu (III) and Am (III) on Beishan granite: XPS, EPMA, batch and modeling study
Q Jin, G Wang, M Ge, Z Chen, W Wu, Z Guo
Applied geochemistry 47, 17-24, 2014
Computational and statistical methods for analysing big data with applications
S Liu, J Mcgree, Z Ge, Y Xie
Academic Press, 2015
Fine-grained bird species recognition via hierarchical subset learning
ZY Ge, C McCool, C Sanderson, A Bewley, Z Chen, P Corke
2015 IEEE International Conference on Image Processing (ICIP), 561-565, 2015
Distance metric learning for feature-agnostic place recognition
Z Chen, S Lowry, A Jacobson, Z Ge, M Milford
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks
D Mahapatra, Z Ge, S Sedai, R Chakravorty
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification.
C McCool, ZY Ge, PI Corke
CLEF Conference and Labs of the Evaluation Forum, 511-517, 2016
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