| 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 | 1582 | 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 | 699 | 2016 |
| Generative OpenMax for Multi-Class Open Set Classification Z Ge, S Demyanov, Z Chen, R Garnavi The British Machine Vision Conference (BMVC 2017), 2017 | 176 | 2017 |
| Hierarchical Neural Architecture Search for Deep Stereo Matching X Cheng, Y Zhong, M Harandi, Y Dai, X Chang, H Li, T Drummond, Z Ge Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 79 | 2020 |
| 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 | 74 | 2018 |
| 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 | 70 | 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 | 70 | 2017 |
| Skin lesion segmentation via generative adversarial networks with dual discriminators B Lei, Z Xia, F Jiang, X Jiang, Z Ge, Y Xu, J Qin, S Chen, T Wang, S Wang Medical Image Analysis 64, 101716, 2020 | 66 | 2020 |
| Sim-to-real transfer of visuo-motor policies for reaching in clutter: Domain randomization and adaptation with modular networks F Zhang, J Leitner, Z Ge, M Milford, P Corke The International Journal of Robotics Research (IJRR) 7 (8), 2017 | 62* | 2017 |
| 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 | 60 | 2018 |
| 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 | 55 | 2016 |
| 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 | 53 | 2015 |
| A Universal Artificial Intelligence Platform for Collaborative Management of Cataracts X Wu, Z Liu, W Lai, E Long, K Zhang, J Jiang, D Lin, K Chen, T Yu, D Wu, ... British Journal of Ophthalmology, 2019 | 52 | 2019 |
| 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 | 52 | 2014 |
| EEG emotion recognition based on graph regularized sparse linear regression Y Li, W Zheng, Z Cui, Y Zong, S Ge Neural Processing Letters 49 (2), 555-571, 2019 | 45 | 2019 |
| 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 | 43 | 2015 |
| Robust early-learning: Hindering the memorization of noisy labels X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang International Conference on Learning Representations (ICLR), 2020 | 42 | 2020 |
| 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 | 40 | 2018 |
| 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 | 39 | 2017 |
| Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification Z Ge*, Y Gu*, CP Bonnington, J Zhou IEEE journal of biomedical and health informatics, 2019 | 38 | 2019 |
Chris McCoolProfessor, University of BonnVerified email at uni-bonn.de
