Zongyuan Ge

Dr

Accepting PhD Students

20142020
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Research Output 2014 2019

2019

PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins

Zhang, Y., Yu, S., Xie, R., Li, J., Leier, A., Marquez-Lago, T. T., Akutsu, T., Smith, A. I., Ge, Z., Wang, J., Lithgow, T. & Song, J., 8 Aug 2019, (Accepted/In press) In : Bioinformatics. 8 p., btz629.

Research output: Contribution to journalArticleResearchpeer-review

2018

Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images

Sedai, S., Mahapatra, D., Ge, Z., Chakravorty, R. & Garnavi, R., 1 Jan 2018, Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Shi, Y., Suk, H-I. & Liu, M. (eds.). Cham Switzerland: Springer, Vol. 11046. p. 267-275 9 p. (Lecture Notes in Computer Science; vol. 11046).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Editorial: Artificial Intelligence for Mobile Robotic Networks

Lu, H., He, L., Zhou, Q. & Ge, Z., 1 Apr 2018, In : Mobile Networks and Applications. 23, 2, p. 326-327 2 p.

Research output: Contribution to journalEditorialOtherpeer-review

Open Access
File

FDCNet: filtering deep convolutional network for marine organism classification

Lu, H., Li, Y., Uemura, T., Ge, Z., Xu, X., He, L., Serikawa, S. & Kim, H., 1 Sep 2018, In : Multimedia Tools and Applications. 77, 17, p. 21847-21860 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Joint registration and segmentation of xray images using generative adversarial networks

Mahapatra, D., Ge, Z., Sedai, S. & Chakravorty, R., 1 Jan 2018, Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Shi, Y., Suk, H-I. & Liu, M. (eds.). Cham Switzerland: Springer, Vol. 11046. p. 73-80 8 p. (Lecture Notes in Computer Science ; vol. 11046).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Learning Context Flexible Attention Model for Long-Term Visual Place Recognition

Chen, Z., Liu, L., Sa, I., Ge, Z. & Chli, M., 1 Oct 2018, In : IEEE Robotics and Automation Letters. 3, 4, p. 4015-4022 8 p., 8421024.

Research output: Contribution to journalArticleResearchpeer-review

Structured deep hashing with convolutional neural networks for fast person re-identification

Wu, L., Wang, Y., Ge, Z., Hu, Q. & Li, X., 1 Feb 2018, In : Computer Vision and Image Understanding. 167, p. 63-73 11 p.

Research output: Contribution to journalArticleResearchpeer-review

2017

Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging

Ge, Z., Demyanov, S., Bozorgtabar, B., Abedini, M., Chakravorty, R., Bowling, A. & Garnavi, R., 15 Jun 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Warfield, S. & Munoz-Barrutia, A. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 986-990 5 p. 7950681

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Generative OpenMax for Multi-Class Open Set Classification

Ge, Z., Demyanov, S., Chen, Z. & Garnavi, R., 2017, British Machine Vision Conference Proceedings 2017. Mikolajczyk, K. & Brostow, G. (eds.). London UK: British Machine Vision Association and Society for Pattern Recognition, 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Investigating deep side layers for skin lesion segmentation

Bozorgtabar, B., Ge, Z., Chakravorty, R., Abedini, M., Demyanov, S. & Garnavi, R., 15 Jun 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Warfield, S. & Munoz-Barrutia, A. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 256-260 5 p. 7950514

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Skin disease recognition using deep saliency features and multimodal learning of dermoscopy and clinical images

Ge, Z., Demyanov, S., Chakravorty, R., Bowling, A. & Garnavi, R., 1 Jan 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11–13, 2017 Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Collins, D. L. & Duchesne, S. (eds.). Cham Switzerland: Springer, p. 250-258 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Tree-loss function for training neural networks on weakly-labelled datasets

Demyanov, S., Chakravorty, R., Ge, Z., Bozorgtabar, S., Pablo, M., Bowling, A. & Garnavi, R., 15 Jun 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Warfield, S. & Munoz-Barrutia, A. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 287-291 5 p. 7950521

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2016

Computational and Statistical Methods for Analysing Big Data with Applications

Liu, S., Ge, Z., McGree, J. & Xie, Y., 2016, Amsterdam Netherlands: Elsevier. 206 p.

Research output: Book/ReportBookResearchpeer-review

Deepfruits: A fruit detection system using deep neural networks

Sa, I., Ge, Z., Dayoub, F., Upcroft, B., Perez, T. & McCool, C., 3 Aug 2016, In : Sensors. 16, 8, 23 p., 1222.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification

Ge, Z., McCool, C., Sanderson, C., Wang, P., Liu, L., Reid, I. & Corke, P., 22 Dec 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA). Liew, A. W-C., Lovell, B. & Fookes, C. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 6 p. 7797039

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Feature learning via mixtures of DCNNs for fine-grained plant classification

McCool, C., Ge, Z. & Corke, P., 1 Jan 2016, CLEF 2016: CLEF2016 Working Notes. Balog, K., Cappellato, L., Ferro, N. & Macdonald, C. (eds.). Aachen Germany: RWTH Aachen University, Vol. 1609. p. 511-517 7 p. (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Fine-grained classification via mixture of deep convolutional neural networks

Ge, Z., Bewley, A., McCool, C., Corke, P., Upcroft, B. & Sanderson, C., 23 May 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV 2016). Mori, G., Pless, R., McCloskey, S. & Sukthankar, R. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 7477700

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Simple online and realtime tracking

Bewley, A., Ge, Z., Ott, L., Ramos, F. & Upcroft, B., 3 Aug 2016, 2016 IEEE International Conference on Image Processing (ICIP 2016). Pereira, F. & Sharma, G. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3464-3468 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2015

Content specific feature learning for fine-grained plant classification

Ge, Z., McCool, C., Sanderson, C. & Corke, P., 1 Jan 2015, CLEF 2015: CLEF 2015 Working Notes. Cappellato, L., Ferro, N., Jones, G. J. F. & San Juan, E. (eds.). Aachen Germany: RWTH Aachen University, Vol. 1391. 7 p. (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Distance metric learning for feature-agnostic place recognition

Chen, Z., Lowry, S., Jacobson, A., Ge, Z. & Milford, M., 11 Dec 2015, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015). Knoll, A. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2556-2563 8 p. 7353725

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Fine-grained bird species recognition via hierarchical subset learning

Ge, Z., McCool, C., Sanderson, C., Bewley, A., Chen, Z. & Corke, P., 9 Dec 2015, 2015 IEEE International Conference on Image Processing (ICIP 2015). Labeau, F. & Thiran, J-P. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 561-565 5 p. 7350861

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Modelling local deep convolutional neural network features to improve fine-grained image classification

Ge, Z., McCool, C., Sanderson, C. & Corke, P., 9 Dec 2015, 2015 IEEE International Conference on Image Processing (ICIP 2015). Labeau, F. & Thiran, J-P. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4112-4116 5 p. 7351579

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Subset feature learning for fine-grained category classification

Ge, Z., McCool, C., Sanderson, C. & Corke, P., 19 Oct 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2015). Grauman, K., Learned-Miller, E., Torralba, A. & Zisserman, A. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 46-52 7 p. 7301271

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2014

Local inter-session variability modelling for object classification

Anantharajah, K., Ge, Z. Y., McCool, C., Denman, S., Fookes, C., Corke, P., Tjondronegoro, D. & Sridharan, S., 1 Jan 2014, 2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014. Scheirer, W., Yang, R. & Stewart, C. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 309-316 8 p. 6836084

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review