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ORCIDZongYuan Ge
Zongyuan Ge – 戈宗元
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- affiliation: IBM Research - Australia, Carlton, VIC, Australia
- unicode name: 戈宗元
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2020 – today
- 2023
[j35]Lin Wang
, Xiufen Ye, Lie Ju, Wanji He, Donghao Zhang, Xin Wang, Yelin Huang, Wei Feng, Kaimin Song, Zongyuan Ge:
Medical matting: Medical image segmentation with uncertainty from the matting perspective. Comput. Biol. Medicine 158: 106714 (2023)- [j34]Zhihong Lin, Donghao Zhang, Danli Shi, Renjing Xu, Qingyi Tao, Lin Wu, Mingguang He, Zongyuan Ge:
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation. J. Biomed. Informatics 138: 104281 (2023) - [j33]Deyin Liu, Lin Wu, Richang Hong, Zongyuan Ge, Jialie Shen, Farid Boussaïd, Mohammed Bennamoun:
Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 20:1-20:19 (2023) - [i50]Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge:
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. CoRR abs/2303.00885 (2023) - [i49]Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatrainst, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge:
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. CoRR abs/2304.01508 (2023) - [i48]Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, Zongyuan Ge:
Towards Open-Scenario Semi-supervised Medical Image Classification. CoRR abs/2304.04059 (2023) - [i47]Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2305.00696 (2023) - [i46]Peng Xia, Di Xu, Lie Ju, Ming Hu, Jun Chen, Zongyuan Ge:
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition. CoRR abs/2305.04536 (2023) - 2022
- [j32]Xiaoyu Wang, Fuyi Li, Jing Xu, Jia Rong, Geoffrey I. Webb, Zongyuan Ge, Jian Li, Jiangning Song:
ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning. Briefings Bioinform. 23(2) (2022) - [j31]Xinxin Peng, Xiaoyu Wang, Yuming Guo, Zongyuan Ge, Fuyi Li, Xin Gao, Jiangning Song:
RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins. Briefings Bioinform. 23(4) (2022) - [j30]Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge:
3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography. Comput. Biol. Medicine 150: 106153 (2022) - [j29]Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai:
Mutual consistency learning for semi-supervised medical image segmentation. Medical Image Anal. 81: 102530 (2022) - [j28]Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, Qinghua Zheng:
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9733-9740 (2022) - [j27]Quan Zhou, Xiaofu Wu, Suofei Zhang, Bin Kang, Zongyuan Ge, Longin Jan Latecki:
Contextual ensemble network for semantic segmentation. Pattern Recognit. 122: 108290 (2022) - [j26]Xuelin Zhang, Donghao Zhang, Alexander Leye, Adrian Scott, Luke Visser, Zongyuan Ge, C. Paul Bonnington:
Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models. Sensors 22(1): 160 (2022) - [j25]Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, Qinghua Zheng:
Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1213-1223 (2022) - [j24]Lin Wu, Deyin Liu, Wenying Zhang, Dapeng Chen, Zongyuan Ge, Farid Boussaïd, Mohammed Bennamoun, Jialie Shen:
Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person Re-Identification. IEEE Trans. Image Process. 31: 4803-4816 (2022) - [j23]Zhen Yu, Jennifer Nguyen, Toàn D. Nguyên, John Kelly, Catriona McLean, C. Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge:
Early Melanoma Diagnosis With Sequential Dermoscopic Images. IEEE Trans. Medical Imaging 41(3): 633-646 (2022) - [j22]Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Quan Zhou, Tongliang Liu, Zongyuan Ge:
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation. IEEE Trans. Medical Imaging 41(6): 1533-1546 (2022) - [j21]Dwarikanath Mahapatra, Zongyuan Ge, Mauricio Reyes:
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps. IEEE Trans. Medical Imaging 41(9): 2443-2456 (2022) - [c55]Xuelin Zhang, Xuelian Cheng, Donghao Zhang, C. Paul Bonnington, Zongyuan Ge:
Learning Network Architecture for Open-Set Recognition. AAAI 2022: 3362-3370 - [c54]Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Implicit Motion Handling for Video Camouflaged Object Detection. CVPR 2022: 13854-13863 - [c53]Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang:
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization. CVPR 2022: 16599-16608 - [c52]Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge:
Anomaly Detection In Retinal Images Using Multi-Scale Deep Feature Sparse Coding. ISBI 2022: 1-5 - [c51]Chi Liu, Zongyuan Ge, Mingguang He, Xiaotong Han:
A Label Uncertainty-Guided Multi-Stream Model for Disease Screening. ISBI 2022: 1-5 - [c50]Yicheng Wu, Zhonghua Wu, Qianyi Wu, Zongyuan Ge, Jianfei Cai:
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation. MICCAI (5) 2022: 34-43 - [c49]Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge:
Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation. MOVI@MICCAI 2022: 63-72 - [c48]Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge:
Flexible Sampling for Long-Tailed Skin Lesion Classification. MICCAI (3) 2022: 462-471 - [c47]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. MICCAI (8) 2022: 464-474 - [c46]Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge:
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization. MICCAI (2) 2022: 497-506 - [c45]Zhihong Lin, Danli Shi, Donghao Zhang, Xianwen Shang, Mingguang He, Zongyuan Ge:
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation. MICCAI (2) 2022: 593-603 - [c44]Zhen Yu, Toàn D. Nguyên, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge:
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. MICCAI (3) 2022: 594-603 - [c43]Deval Mehta, Yaniv Gal, Adrian Bowling, C. Paul Bonnington, Zongyuan Ge:
Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images. MICCAI (1) 2022: 732-742 - [c42]Dwarikanath Mahapatra, Zongyuan Ge:
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers. MIDL 2022: 858-878 - [i45]Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge:
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding. CoRR abs/2201.11506 (2022) - [i44]Chi Liu, Zongyuan Ge, Mingguang He, Xiaotong Han:
Label uncertainty-guided multi-stream model for disease screening. CoRR abs/2201.12089 (2022) - [i43]Yicheng Wu, Zhonghua Wu, Qianyi Wu, Zongyuan Ge, Jianfei Cai:
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation. CoRR abs/2203.01324 (2022) - [i42]Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Implicit Motion Handling for Video Camouflaged Object Detection. CoRR abs/2203.07363 (2022) - [i41]Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang:
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization. CoRR abs/2203.12265 (2022) - [i40]Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge:
Flexible Sampling for Long-tailed Skin Lesion Classification. CoRR abs/2204.03161 (2022) - [i39]Zhihong Lin, Danli Shi, Donghao Zhang, Xianwen Shang, Mingguang He, Zongyuan Ge:
Camera Adaptation for Fundus-Image-Based CVD Risk Estimation. CoRR abs/2206.09202 (2022) - [i38]Deval Mehta, Yaniv Gal, Adrian Bowling, C. Paul Bonnington, Zongyuan Ge:
Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images. CoRR abs/2206.15186 (2022) - [i37]Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge:
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization. CoRR abs/2207.03684 (2022) - [i36]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge:
Deep Laparoscopic Stereo Matching with Transformers. CoRR abs/2207.12152 (2022) - [i35]Lin Wu, Deyin Liu, Wenying Zhang, Dapeng Chen, Zongyuan Ge, Farid Boussaïd, Mohammed Bennamoun, Jialie Shen:
Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identification. CoRR abs/2207.13035 (2022) - [i34]Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge:
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation. CoRR abs/2208.08331 (2022) - [i33]Zhen Yu, Toàn D. Nguyên, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge:
Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. CoRR abs/2209.05842 (2022) - [i32]Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge:
3D Matting: A Soft Segmentation Method Applied in Computed Tomography. CoRR abs/2209.07843 (2022) - [i31]Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge:
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography. CoRR abs/2210.05104 (2022) - [i30]Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge:
Multimorbidity Content-Based Medical Image Retrieval Using Proxies. CoRR abs/2211.12185 (2022) - 2021
- [j20]Fuyi Li, Jinxiang Chen, Zongyuan Ge, Ya Wen, Yanwei Yue, Morihiro Hayashida, Abdelkader Baggag, Halima Bensmail, Jiangning Song:
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework. Briefings Bioinform. 22(2): 2126-2140 (2021) - [j19]Yanan Wang, Litao Yang, Geoffrey I. Webb, Zongyuan Ge, Jiangning Song:
OCTID: a one-class learning-based Python package for tumor image detection. Bioinform. 37(21): 3986-3988 (2021) - [j18]Wanji He, Xin Wang, Lin Wang, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Lie Ju, Liao Wu, Lin Wu, Huimin Lu, Zongyuan Ge:
Incremental learning for exudate and hemorrhage segmentation on fundus images. Inf. Fusion 73: 157-164 (2021) - [j17]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su:
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2921-2935 (2021) - [j16]Mingyang Ma, Shaohui Mei, Shuai Wan, Zhiyong Wang, Zongyuan Ge, Vincent Lam, Dagan Feng:
Keyframe Extraction From Laparoscopic Videos via Diverse and Weighted Dictionary Selection. IEEE J. Biomed. Health Informatics 25(5): 1686-1698 (2021) - [j15]Lie Ju, Xin Wang, Xin Zhao, Huimin Lu, Dwarikanath Mahapatra, C. Paul Bonnington, Zongyuan Ge:
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning. IEEE J. Biomed. Health Informatics 25(10): 3709-3720 (2021) - [j14]Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. IEEE Trans. Medical Imaging 40(10): 2911-2925 (2021) - [c41]Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen:
Vision-Language Navigation with Random Environmental Mixup. ICCV 2021: 1624-1634 - [c40]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge:
Medical Image Classification Using Generalized Zero Shot Learning. ICCVW 2021: 3337-3346 - [c39]Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang:
Robust early-learning: Hindering the memorization of noisy labels. ICLR 2021 - [c38]Qingyi Tao, Chen Change Loy, Jianfei Cai, ZongYuan Ge, Simon See:
Retrospective Class Incremental Learning. ICME 2021: 1-6 - [c37]Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge:
Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. MICCAI (8) 2021: 3-12 - [c36]Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge:
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. DART/FAIR@MICCAI 2021: 46-56 - [c35]Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge:
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. DART/FAIR@MICCAI 2021: 57-67 - [c34]Zhen Yu, Victoria Mar, Anders Eriksson, Shakes Chandra, C. Paul Bonnington, Lei Zhang, Zongyuan Ge:
End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers. MICCAI (7) 2021: 176-184 - [c33]Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra:
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI 2021: 226-238 - [c32]Yicheng Wu, Minfeng Xu, Zongyuan Ge, Jianfei Cai, Lei Zhang:
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training. MICCAI (2) 2021: 297-306 - [c31]Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge:
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty. MICCAI (3) 2021: 573-583 - [i29]Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge:
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. CoRR abs/2103.00528 (2021) - [i28]Yicheng Wu, Minfeng Xu, Zongyuan Ge, Jianfei Cai, Lei Zhang:
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training. CoRR abs/2103.02911 (2021) - [i27]Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge:
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition. CoRR abs/2104.11057 (2021) - [i26]Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge:
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty. CoRR abs/2106.09887 (2021) - [i25]Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge:
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization. CoRR abs/2108.01821 (2021) - [i24]Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai:
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation. CoRR abs/2109.09960 (2021) - [i23]Zhen Yu, Jennifer Nguyen, Toàn D. Nguyên, John Kelly, Catriona McLean, C. Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge:
Early Melanoma Diagnosis with Sequential Dermoscopic Images. CoRR abs/2110.05976 (2021) - [i22]Zongyuan Ge, Xin Wang:
Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks. CoRR abs/2110.10888 (2021) - [i21]Lie Ju, Xin Wang, Zhen Yu, Lin Wang, Xin Zhao, Zongyuan Ge:
Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation. CoRR abs/2111.08913 (2021) - [i20]Zhihong Lin, Donghao Zhang, Qingyi Tao, Danli Shi, Gholamreza Haffari, Qi Wu, Mingguang He, Zongyuan Ge:
Medical Visual Question Answering: A Survey. CoRR abs/2111.10056 (2021) - 2020
- [j13]Yanju Zhang, Sha Yu, Ruopeng Xie, Jiahui Li, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Alexander Ian Smith, Zongyuan Ge, Jiawei Wang, Trevor Lithgow, Jiangning Song:
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins. Bioinform. 36(3): 704-712 (2020) - [j12]Baiying Lei, Zaimin Xia, Feng Jiang, Xudong Jiang, Zongyuan Ge, Yanwu Xu, Jie Du, Siping Chen, Tianfu Wang, Shuqiang Wang:
Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Anal. 64: 101716 (2020) - [j11]Zongyuan Ge, Dwarikanath Mahapatra, Xiaojun Chang, Zetao Chen, Lianhua Chi, Huimin Lu:
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. Multim. Tools Appl. 79(21-22): 14889-14902 (2020) - [j10]Dwarikanath Mahapatra, Zongyuan Ge:
Training data independent image registration using generative adversarial networks and domain adaptation. Pattern Recognit. 100: 107109 (2020) - [j9]Yanyang Gu, Zongyuan Ge, C. Paul Bonnington, Jun Zhou:
Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification. IEEE J. Biomed. Health Informatics 24(5): 1379-1393 (2020) - [c30]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-Constrained Car Recognition Using a 3D Perspective Network. AAAI 2020: 1161-1168 - [c29]Yu Liu, Shobi Sivathamboo, Peter Goodin, C. Paul Bonnington, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien, Piero Perucca, Zongyuan Ge:
Epileptic Seizure Detection Using Convolutional Neural Network: A Multi-Biosignal study. ACSW 2020: 37:1-37:8 - [c28]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CVPR 2020: 876-885 - [c27]Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang:
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. KDD 2020: 297-305 - [c26]James Tong, Dwarikanath Mahapatra, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps. DART/DCL@MICCAI 2020: 41-51 - [c25]Jianhao Xiong, Andre Wang He, Meng Fu, Xinyue Hu, Yifan Zhang, Congxin Liu, Xin Zhao, Zongyuan Ge:
Improve Unseen Domain Generalization via Enhanced Local Color Transformation. MICCAI (2) 2020: 433-443 - [c24]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. NeurIPS 2020 - [c23]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven W. Su:
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. NeurIPS 2020 - [i19]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. CoRR abs/2003.05583 (2020) - [i18]Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation. CoRR abs/2003.10042 (2020) - [i17]Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Zongyuan Ge:
Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading. CoRR abs/2003.10607 (2020) - [i16]Zhen Yu, Jennifer Nguyen, Xiaojun Chang, John Kelly, Catriona McLean, Lei Zhang, Victoria Mar, Zongyuan Ge:
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images. CoRR abs/2006.10950 (2020) - [i15]Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Tom Drummond, Hongdong Li, Zongyuan Ge:
Hierarchical Neural Architecture Search for Deep Stereo Matching. CoRR abs/2010.13501 (2020) - [i14]Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. CoRR abs/2011.13816 (2020)
2010 – 2019
- 2019
- [j8]Yujie Li, Chunyan Ma, Tingting Zhang, Jianru Li, Zongyuan Ge, Yun Li, Seiichi Serikawa:
Underwater Image High Definition Display Using the Multilayer Perceptron and Color Feature-Based SRCNN. IEEE Access 7: 83721-83728 (2019) - [j7]Fangyi Zhang, Jürgen Leitner, Zongyuan Ge, Michael Milford, Peter Corke:
Adversarial discriminative sim-to-real transfer of visuo-motor policies. Int. J. Robotics Res. 38(10-11) (2019) - [j6]Changlin Li, Zhihui Li, Zongyuan Ge, Mingjie Li:
Knowledge driven temporal activity localization. J. Vis. Commun. Image Represent. 64 (2019) - [c22]David Jakes, Zongyuan Ge, Liao Wu:
Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks. IROS 2019: 2167-2173 - [c21]Dwarikanath Mahapatra, Zongyuan Ge:
Training Data Independent Image Registration with Gans Using Transfer Learning and Segmentation Information. ISBI 2019: 709-713 - [c20]Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge:
Retinal Abnormalities Recognition Using Regional Multitask Learning. MICCAI (1) 2019: 30-38 - [c19]Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See:
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. MICCAI (6) 2019: 185-193 - [c18]Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond:
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation. MICCAI (6) 2019: 757-765 - [i13]David Jakes, Zongyuan Ge, Liao Wu:
Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks. CoRR abs/1902.08943 (2019) - [i12]Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-constrained Car Recognition Using a 3D Perspective Network. CoRR abs/1903.07916 (2019) - [i11]