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 | 3772 | 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 | 1058 | 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 | 445 | 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 | 332 | 2020 |
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 | 254 | 2020 |
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 | 213 | 2020 |
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training Y Wu, M Xu, Z Ge, J Cai, L Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 151 | 2021 |
Zeronas: Differentiable generative adversarial networks search for zero-shot learning C Yan, X Chang, Z Li, W Guan, Z Ge, L Zhu, Q Zheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 142 | 2021 |
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 | 133 | 2017 |
Mutual consistency learning for semi-supervised medical image segmentation Y Wu, Z Ge, D Zhang, M Xu, L Zhang, Y Xia, J Cai Medical Image Analysis 81, 102530, 2022 | 131 | 2022 |
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 | 127 | 2019 |
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 | 123 | 2019 |
An interpretable prediction model for identifying N7-methylguanosine sites based on XGBoost and SHAP Y Bi*, D Xiang*, Z Ge*, F Li, C Jia, J Song Molecular Therapy-Nucleic Acids, 2020 | 122 | 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 | 119 | 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, 21847-21860, 2018 | 89 | 2018 |
EEG emotion recognition based on graph regularized sparse linear regression Y Li, W Zheng, Z Cui, Y Zong, S Ge Neural Processing Letters 49, 555-571, 2019 | 85 | 2019 |
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 | 85* | 2017 |
Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study D Lin, J Xiong, C Liu, L Zhao, Z Li, S Yu, X Wu, Z Ge, X Hu, B Wang, M Fu, ... The Lancet Digital Health 3 (8), e486-e495, 2021 | 83 | 2021 |
Exploring smoothness and class-separation for semi-supervised medical image segmentation Y Wu, Z Wu, Q Wu, Z Ge, J Cai MICCAI 2022, 34-43, 2022 | 82 | 2022 |
Improving Medical Images Classification with Label Noise Using Dual-Uncertainty Estimation L Ju, X Wang, L Wang, D Mahapatra, X Zhao, Q Zhou, T Liu, Z Ge IEEE Transactions on Medical Imaging, 2022 | 76 | 2022 |