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ZongYuan Ge
Person information
- affiliation: IBM Research - Australia, Carlton, VIC, Australia
- unicode name: 戈宗元
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2020 – today
- 2024
- [j44]Dwarikanath Mahapatra
, Behzad Bozorgtabar
, Zongyuan Ge
, Mauricio Reyes:
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical Image Anal. 93: 103075 (2024) - [j43]Dwarikanath Mahapatra
, Ruwan B. Tennakoon
, Yasmeen George
, Sudipta Roy
, Behzad Bozorgtabar
, Zongyuan Ge
, Mauricio Reyes
:
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Anal. 97: 103261 (2024) - [j42]Lie Ju
, Zhen Yu
, Lin Wang
, Xin Zhao, Xin Wang, C. Paul Bonnington
, Zongyuan Ge
:
Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition. IEEE Trans. Medical Imaging 43(1): 335-350 (2024) - [c70]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran:
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. AAAI 2024: 21378-21386 - [c69]Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu:
EventRPG: Event Data Augmentation with Relevance Propagation Guidance. ICLR 2024 - [i69]Siyuan Yan, Chi Liu
, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Brigid Betz-Stablein, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge:
Prompt-driven Latent Domain Generalization for Medical Image Classification. CoRR abs/2401.03002 (2024) - [i68]Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge:
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2403.07630 (2024) - [i67]Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu:
EventRPG: Event Data Augmentation with Relevance Propagation Guidance. CoRR abs/2403.09274 (2024) - [i66]Yicheng Wu, Xiangde Luo, Zhe Xu, Xiaoqing Guo, Lie Ju, Zongyuan Ge, Wenjun Liao, Jianfei Cai:
Diversified and Personalized Multi-rater Medical Image Segmentation. CoRR abs/2403.13417 (2024) - [i65]Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Zongyuan Ge, Chee-Ming Ting:
A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities. CoRR abs/2404.14019 (2024) - [i64]Siyuan Yan, Cheng Luo, Zhen Yu, Zongyuan Ge:
Generalizing CLIP to Unseen Domain via Text-Guided Diverse Novel Feature Synthesis. CoRR abs/2405.02586 (2024) - [i63]Ming Hu, Siyuan Yan, Peng Xia, Feilong Tang, Wenxue Li, Peibo Duan, Lin Zhang, Zongyuan Ge:
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification. CoRR abs/2405.11289 (2024) - [i62]Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao:
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR abs/2406.06007 (2024) - [i61]Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge:
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. CoRR abs/2406.06384 (2024) - [i60]Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, Zhongxing Xu, Yimin Luo, Kaimin Song, Jürgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge:
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. CoRR abs/2406.07471 (2024) - [i59]Wenxue Li, Xinyu Xiong, Peng Xia, Lie Ju, Zongyuan Ge:
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM. CoRR abs/2406.15764 (2024) - 2023
- [j41]Yunyan Xing
, Benjamin J. Meyer, Mehrtash Harandi
, Tom Drummond, Zongyuan Ge
:
Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning. IEEE Access 11: 50165-50179 (2023) - [j40]Zhihong Lin
, Donghao Zhang, Qingyi Tao, Danli Shi
, Gholamreza Haffari, Qi Wu, Mingguang He, Zongyuan Ge:
Medical visual question answering: A survey. Artif. Intell. Medicine 143: 102611 (2023) - [j39]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) - [j38]Wei Feng, Meihan Duan, Bingjie Wang, Yu Du, Yiran Zhao, Bin Wang, Lin Zhao, Zongyuan Ge, Yuntao Hu:
Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning. J. Big Data 10(1): 111 (2023) - [j37]Li Dong, Lie Ju, Shiqi Hui, Lihua Luo, Xue Jiang, Zihan Nie, Ruiheng Zhang, Wenda Zhou, Heyan Li, Jost B. Jonas, Xin Wang, Xin Zhao, Chao He, Yuzhong Chen, Zhaohui Wang, Jianxiong Gao, Zongyuan Ge, Wenbin Wei, Dongmei Li
:
Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study. J. Big Data 10(1): 134 (2023) - [j36]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) - [j35]Le Fang
, Wei Xiang
, Yuan Zhou, Juan Fang, Lianhua Chi
, Zongyuan Ge:
Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series. Knowl. Based Syst. 279: 110896 (2023) - [j34]Peng Gui, Fazhi He, Bingo Wing-Kuen Ling, Dengyi Zhang
, Zongyuan Ge:
Normal vibration distribution search-based differential evolution algorithm for multimodal biomedical image registration. Neural Comput. Appl. 35(22): 16223-16245 (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) - [c68]Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge:
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment. AAAI 2023: 623-631 - [c67]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. CVPR 2023: 11568-11577 - [c66]Fatima Al Zegair, Chantal Rutjes, Brigid Betz-Stablein, Zongyuan Ge, H. Peter Soyer, Shekhar S. Chandra
:
Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network. DICTA 2023: 245-250 - [c65]Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge:
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. MICCAI (9) 2023: 13-23 - [c64]Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Zongyuan Ge:
Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering. MICCAI (6) 2023: 24-33 - [c63]Xin Zhang, Deval Mehta, Chao Zhu, Daniel Merlo, Yanan Hu, Melissa Gresle, David Darby, Anneke van der Walt, Helmut Butzkueven, Zongyuan Ge:
Deep Survival Analysis in Multiple Sclerosis. PRIME@MICCAI 2023: 108-119 - [c62]Deval Mehta, Shobi Sivathamboo, Hugh Simpson, Patrick Kwan, Terence J. O'Brien, Zongyuan Ge:
Privacy-Preserving Early Detection of Epileptic Seizures in Videos. MICCAI (5) 2023: 210-219 - [c61]Siyuan Yan, Chi Liu
, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge:
EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. MICCAI (7) 2023: 249-259 - [c60]Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge:
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. MICCAI (2) 2023: 276-286 - [c59]Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To
, Zongyuan Ge, Stuart Crozier
, Fatima A. Nasrallah
, Shekhar S. Chandra
:
Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery. MICCAI (5) 2023: 368-378 - [c58]Zhen Yu, Ruiye Chen, Peng Gui, Lie Ju, Xianwen Shang, Zhuoting Zhu, Mingguang He, Zongyuan Ge:
Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning. MICCAI (7) 2023: 629-638 - [c57]Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. MIDL 2023: 1655-1665 - [c56]Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge:
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. NeurIPS 2023 - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge:
EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. CoRR abs/2307.11307 (2023) - [i52]Deval Mehta, Shobi Sivathamboo, Hugh Simpson, Patrick Kwan, Terence J. O'Brien, Zongyuan Ge:
Privacy-preserving Early Detection of Epileptic Seizures in Videos. CoRR abs/2309.08794 (2023) - [i51]Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra:
Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification. CoRR abs/2309.09689 (2023) - [i50]Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Zongyuan Ge:
Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering. CoRR abs/2309.16451 (2023) - [i49]Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge:
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. CoRR abs/2310.13347 (2023) - [i48]Deval Mehta, Brigid Betz-Stablein, Toàn D. Nguyên, Yaniv Gal, Adrian Bowling, Martin Haskett, Maithili Sashindranath, C. Paul Bonnington, Victoria Mar, H. Peter Soyer, Zongyuan Ge:
Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis. CoRR abs/2311.01009 (2023) - [i47]Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge:
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. CoRR abs/2311.14064 (2023) - [i46]Wenxi Yue, Jing Zhang, Kun Hu, Qiuxia Wu, Zongyuan Ge, Yong Xia, Jiebo Luo, Zhiyong Wang:
Part to Whole: Collaborative Prompting for Surgical Instrument Segmentation. CoRR abs/2312.14481 (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 A. 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 A. 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 A. 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]Dwarikanath Mahapatra, Zongyuan Ge:
Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration. CoRR abs/1903.10139 (2019) - [i10]Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See:
Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. CoRR abs/1907.04052 (2019) - [i9]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. CoRR abs/1910.04961 (2019) - 2018
- [j5]Lin Wu
, Yang Wang, Zongyuan Ge
, Qichang Hu, Xue Li
:
Structured deep hashing with convolutional neural networks for fast person re-identification. Comput. Vis. Image Underst. 167: 63-73 (2018) - [j4]Huimin Lu
, Li He, Quan Zhou, Zongyuan Ge
:
Editorial: Artificial Intelligence for Mobile Robotic Networks. Mob. Networks Appl. 23(2): 326-327 (2018) - [j3]Huimin Lu
, Yujie Li, Tomoki Uemura, Zongyuan Ge
, Xing Xu, Li He, Seiichi Serikawa, Hyoungseop Kim:
FDCNet: filtering deep convolutional network for marine organism classification. Multim. Tools Appl. 77(17): 21847-21860 (2018) - [j2]Zetao Chen
, Lingqiao Liu
, Inkyu Sa
, Zongyuan Ge
, Margarita Chli
:
Learning Context Flexible Attention Model for Long-Term Visual Place Recognition. IEEE Robotics Autom. Lett. 3(4): 4015-4022 (2018) - [c17]Dwarikanath Mahapatra, Zongyuan Ge
, Suman Sedai, Rajib Chakravorty:
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks. MLMI@MICCAI 2018: 73-80 - [c16]Suman Sedai
, Dwarikanath Mahapatra, Zongyuan Ge
, Rajib Chakravorty, Rahil Garnavi:
Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images. MLMI@MICCAI 2018: 267-275 - [i8]Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi, Rajib Chakravorty:
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem. CoRR abs/1807.07247 (2018) - [i7]Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images. CoRR abs/1808.08280 (2018) - 2017
- [c15]Zongyuan Ge, Sergey Demyanov, Rahil Garnavi:
Generative OpenMax for Multi-Class Open Set Classification. BMVC 2017 - [c14]Behzad Bozorgtabar
, Zongyuan Ge
, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi:
Investigating deep side layers for skin lesion segmentation. ISBI 2017: 256-260 - [c13]Sergey Demyanov, Rajib Chakravorty, Zongyuan Ge
, SeyedBehzad Bozorgtabar, Michelle Pablo, Adrian Bowling, Rahil Garnavi:
Tree-loss function for training neural networks on weakly-labelled datasets. ISBI 2017: 287-291 - [c12]Zongyuan Ge
, Sergey Demyanov, Behzad Bozorgtabar
, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging. ISBI 2017: 986-990 - [c11]Zongyuan Ge
, Sergey Demyanov, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi:
Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images. MICCAI (3) 2017: 250-258 - [i6]ZongYuan Ge, Sergey Demyanov, Zetao Chen, Rahil Garnavi:
Generative OpenMax for Multi-Class Open Set Classification. CoRR abs/1707.07418 (2017) - 2016
- [j1]Inkyu Sa, ZongYuan Ge
, Feras Dayoub
, Ben Upcroft, Tristan Perez
, Chris McCool
:
DeepFruits: A Fruit Detection System Using Deep Neural Networks. Sensors 16(8): 1222 (2016) - [c10]Chris McCool, ZongYuan Ge, Peter I. Corke:
Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification. CLEF (Working Notes) 2016: 511-517 - [c9]ZongYuan Ge
, Chris McCool
, Conrad Sanderson, Peng Wang
, Lingqiao Liu
, Ian D. Reid
, Peter I. Corke
:
Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. DICTA 2016: 1-6 - [c8]Alex Bewley, ZongYuan Ge
, Lionel Ott
, Fabio Tozeto Ramos, Ben Upcroft:
Simple online and realtime tracking. ICIP 2016: 3464-3468 - [c7]ZongYuan Ge
, Alex Bewley, Christopher McCool
, Peter I. Corke
, Ben Upcroft, Conrad Sanderson:
Fine-grained classification via mixture of deep convolutional neural networks. WACV 2016: 1-6 - [i5]Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Ramos, Ben Upcroft:
Simple Online and Realtime Tracking. CoRR abs/1602.00763 (2016) - [i4]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke:
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification. CoRR abs/1608.00486 (2016) - 2015
- [c6]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter Corke:
Content Specific Feature Learning for Fine-Grained Plant Classification. CLEF (Working Notes) 2015 - [c5]ZongYuan Ge
, Christopher McCool
, Conrad Sanderson, Peter I. Corke
:
Subset feature learning for fine-grained category classification. CVPR Workshops 2015: 46-52 - [c4]ZongYuan Ge
, Chris McCool
, Conrad Sanderson, Alex Bewley, Zetao Chen, Peter I. Corke
:
Fine-grained bird species recognition via hierarchical subset learning. ICIP 2015: 561-565 - [c3]ZongYuan Ge
, Chris McCool
, Conrad Sanderson, Peter Corke
:
Modelling local deep convolutional neural network features to improve fine-grained image classification. ICIP 2015: 4112-4116 - [c2]Zetao Chen, Stephanie M. Lowry, Adam Jacobson
, ZongYuan Ge
, Michael Milford
:
Distance metric learning for feature-agnostic place recognition. IROS 2015: 2556-2563 - [i3]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke:
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification. CoRR abs/1502.07802 (2015) - [i2]ZongYuan Ge, Christopher McCool, Conrad Sanderson, Peter I. Corke:
Subset Feature Learning for Fine-Grained Category Classification. CoRR abs/1505.02269 (2015) - [i1]ZongYuan Ge, Alex Bewley, Christopher McCool, Ben Upcroft, Peter Corke, Conrad Sanderson:
Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks. CoRR abs/1511.09209 (2015) - 2014
- [c1]Kaneswaran Anantharajah, ZongYuan Ge
, Chris McCool
, Simon Denman, Clinton Fookes
, Peter Corke
, Dian Tjondronegoro
, Sridha Sridharan:
Local inter-session variability modelling for object classification. WACV 2014: 309-316
Coauthor Index
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