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ORCIDJianguo Zhang 0001
Person information
- affiliation: Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China
- affiliation (former): University of Dundee, Computing, School of Science and Engineering, UK
- affiliation (former): Queen's University Belfast, School of Electronics, Electrical Engineering and Computer Science, UK
- affiliation (former): INRIA, Rhone-Alpes, France
- affiliation (former): Chinese Academy of Sciences, National Laboratory of Pattern Recognition (NLPR), Beijing, China
Other persons with the same name
- Jianguo Zhang (aka: Jian-Guo Zhang) — disambiguation page
- Jianguo Zhang 0002
![[0000-0002-8677-0676]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8677-0676")
— Harbin Institute of Technology, Department of Mechanical Engineering, Shenzhen, China - Jianguo Zhang 0003 — Shanxi University, Institute of Theoretical Physics, Taiyuan, China
- Jianguo Zhang 0004 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Jianguo Zhang 0005 (aka: Jian-Guo Zhang 0005) — University of Illinois at Chicago, Department of Computer Science, IL, USA
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2020 – today
- 2025
[j44]Jingkun Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han:
Addressing Inconsistent Labeling With Cross Image Matching for Scribble-Based Medical Image Segmentation. IEEE Trans. Image Process. 34: 842-853 (2025)- [j43]Xiaoling Luo, Qihao Xu, Zhihua Wang, Chao Huang, Chengliang Liu, Xiaopeng Jin, Jianguo Zhang:
A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics 29(5): 3184-3193 (2025) - [j42]Boyan Li, Luziwei Leng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao, Ran Cheng:
Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7542-7554 (2025) - [c63]Yu Long, Qinghua Lin, Zhihua Wang, Kai Zhang, Jianguo Zhang, Yuming Fang:
Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions. AAAI 2025: 5784-5792 - [i36]Tianming Liang, Kun-Yu Lin, Chaolei Tan, Jianguo Zhang, Wei-Shi Zheng, Jian-Fang Hu:
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations. CoRR abs/2501.14607 (2025) - [i35]Jingkun Chen, Guang Yang, Xiao Zhang, Jingchao Peng, Tianlu Zhang, Jianguo Zhang, Jungong Han, Vicente Grau:
Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging. CoRR abs/2501.17906 (2025) - [i34]Jiahao Xia, Min Xu, Wenjian Huang, Jianguo Zhang, Haimin Zhang, Chunxia Xiao:
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. CoRR abs/2503.22359 (2025) - 2024
- [j41]Jialin Yuan, Loizos Siakallis, Hongwei Bran Li, Sebastian Brandner, Jianguo Zhang, Chenming Li, Laura Mancini, Sotirios Bisdas:
Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach. BMC Medical Imaging 24(1): 104 (2024) - [j40]Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu:
Unsupervised Part Discovery via Dual Representation Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10597-10613 (2024) - [j39]Jingkun Chen, Changrui Chen, Wenjian Huang, Jianguo Zhang, Kurt Debattista, Jungong Han:
Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation. Pattern Recognit. 145: 109881 (2024) - [i33]Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu:
Unsupervised Part Discovery via Dual Representation Alignment. CoRR abs/2408.08108 (2024) - [i32]Qingqiao Hu, Daoan Zhang, Jiebo Luo, Zhenyu Gong, Benedikt Wiestler, Jianguo Zhang, Hongwei Bran Li:
Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models. CoRR abs/2409.07746 (2024) - 2023
- [j38]Jiaxin Zhuang, Jiabin Cai, Jianguo Zhang, Weishi Zheng, Ruixuan Wang:
Class attention to regions of lesion for imbalanced medical image recognition. Neurocomputing 555: 126577 (2023) - [j37]Haoxin Li, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, Jian-Huang Lai:
Egocentric Action Recognition by Automatic Relation Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 489-507 (2023) - [j36]Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen:
Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10358-10375 (2023) - [j35]Zhihua Wang, Zhi-Ri Tang, Jianguo Zhang, Yuming Fang:
Toward a blind image quality evaluator in the wild by learning beyond human opinion scores. Pattern Recognit. 137: 109296 (2023) - [j34]Zhihua Wang, Zhi-Ri Tang, Jianguo Zhang, Yuming Fang:
Corrigendum to 'Toward a Blind Image Quality Evaluator in the Wild by Learning beyond Human Opinion Scores' Pattern Recognition. Volume 137 (2023) 109296. Pattern Recognit. 139: 109465 (2023) - [j33]Jingkun Chen, Jianguo Zhang, Kurt Debattista, Jungong Han:
Semi-Supervised Unpaired Medical Image Segmentation Through Task-Affinity Consistency. IEEE Trans. Medical Imaging 42(3): 594-605 (2023) - [c62]Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang, Jianguo Zhang:
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. AAAI 2023: 11192-11200 - [c61]Shuai Wang, Daoan Zhang, Zipei Yan, Jianguo Zhang, Rui Li:
Feature Alignment and Uniformity for Test Time Adaptation. CVPR 2023: 20050-20060 - [c60]Chenming Li, Daoan Zhang, Wenjian Huang, Jianguo Zhang:
Cross Contrasting Feature Perturbation for Domain Generalization. ICCV 2023: 1327-1337 - [i31]Daoan Zhang, Mingkai Chen, Chenming Li, Lingyun Huang, Jianguo Zhang:
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization. CoRR abs/2302.02350 (2023) - [i30]Shuai Wang, Daoan Zhang, Jianguo Zhang, Weiwei Zhang, Rui Li:
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model. CoRR abs/2303.03709 (2023) - [i29]Shuai Wang, Daoan Zhang, Zipei Yan, Jianguo Zhang, Rui Li:
Feature Alignment and Uniformity for Test Time Adaptation. CoRR abs/2303.10902 (2023) - [i28]Qingqiao Hu, Hao Wang, Jing Luo, Yunhao Luo, Zhiheng Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze, Jianguo Zhang, Hongwei Bran Li:
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks. CoRR abs/2306.16556 (2023) - [i27]Daoan Zhang, Weitong Zhang, Bing He, Jianguo Zhang, Chenchen Qin, Jianhua Yao:
DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks. CoRR abs/2307.05628 (2023) - [i26]Jia-Xin Zhuang, Jiabin Cai, Jianguo Zhang, Wei-Shi Zheng, Ruixuan Wang:
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition. CoRR abs/2307.10036 (2023) - [i25]Chenming Li, Daoan Zhang, Wenjian Huang, Jianguo Zhang:
Cross Contrastive Feature Perturbation for Domain Generalization. CoRR abs/2307.12502 (2023) - [i24]Daoan Zhang, Yunhao Luo, Jianguo Zhang:
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data. CoRR abs/2311.18758 (2023) - [i23]Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu:
Video Understanding with Large Language Models: A Survey. CoRR abs/2312.17432 (2023) - 2022
- [j32]Yuantao Feng, Shiqi Yu, Hanyang Peng, Yan-Ran Li, Jianguo Zhang:
Detect Faces Efficiently: A Survey and Evaluations. IEEE Trans. Biom. Behav. Identity Sci. 4(1): 1-18 (2022) - [j31]Maria De Marsico, Julian Fiérrez, Arun Ross, Shiqi Yu, Pong C. Yuen, Jianguo Zhang:
Special Section Guest Editorial. IEEE Trans. Biom. Behav. Identity Sci. 4(4): 451-452 (2022) - [c59]Jiahao Xia, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, Min Xu:
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning. CVPR 2022: 4042-4051 - [c58]Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang, Jianguo Zhang:
TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning. ECCV (20) 2022: 524-540 - [c57]Qingqiao Hu, Hongwei Li, Jianguo Zhang:
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. MICCAI (6) 2022: 495-504 - [c56]Wenjian Huang, Hao Wang, Jiahao Xia, Chengyan Wang, Jianguo Zhang:
Density-driven Regularization for Out-of-distribution Detection. NeurIPS 2022 - [c55]Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu:
Partial Least Square Regression via Three-Factor SVD-Type Manifold Optimization for EEG Decoding. PRCV (1) 2022: 778-787 - [e5]Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13534, Springer 2022, ISBN 978-3-031-18906-7 [contents] - [e4]Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13535, Springer 2022, ISBN 978-3-031-18909-8 [contents] - [e3]Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13536, Springer 2022, ISBN 978-3-031-18912-8 [contents] - [e2]Shiqi Yu, Zhaoxiang Zhang, Pong C. Yuen, Junwei Han, Tieniu Tan, Yike Guo, Jianhuang Lai, Jianguo Zhang:
Pattern Recognition and Computer Vision - 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4-7, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13537, Springer 2022, ISBN 978-3-031-18915-9 [contents] - [i22]Jiahao Xia, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, Min Xu:
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning. CoRR abs/2203.06541 (2022) - [i21]Qingqiao Hu, Hongwei Li, Jianguo Zhang:
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. CoRR abs/2207.00844 (2022) - [i20]Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu:
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding. CoRR abs/2208.04324 (2022) - [i19]Daoan Zhang, Chenming Li, Haoquan Li, Wenjian Huang, Lingyun Huang, Jianguo Zhang:
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation. CoRR abs/2211.14513 (2022) - [i18]Hongwei Bran Li, Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Tamaz Amiranashvili, Jianguo Zhang, Daniel Rueckert, Juan Eugenio Iglesias, Benedikt Wiestler, Bjoern H. Menze:
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images. CoRR abs/2212.01577 (2022) - 2021
- [c54]Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia:
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds. CVPR 2021: 10256-10265 - [c53]Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. MICCAI (2) 2021: 36-46 - [c52]Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang, Chen Niu, Carolin M. Pirkl, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze:
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. UNSURE/PIPPI@MICCAI 2021: 44-53 - [c51]Tianjun Huang, Weiwei Qu, Jianguo Zhang:
Continual Representation Learning via Auto-Weighted Latent Embeddings on Person ReID. PRCV (3) 2021: 593-605 - [i17]Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang:
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. CoRR abs/2101.01513 (2021) - [i16]Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Liu, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations. CoRR abs/2103.04167 (2021) - [i15]Yuantao Feng, Shiqi Yu, Hanyang Peng, Yan-Ran Li, Jianguo Zhang:
Detect Faces Efficiently: A Survey and Evaluations. CoRR abs/2112.01787 (2021) - 2020
- [j30]Haocheng Shen, Jingkun Chen, Ruixuan Wang, Jianguo Zhang:
Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection. IEEE Access 8: 133051-133062 (2020) - [j29]Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang, Daniel Rueckert, Joanna M. Wardlaw, Taku Komura:
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. Comput. Medical Imaging Graph. 79: 101685 (2020) - [c50]Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang:
TEA: Temporal Excitation and Aggregation for Action Recognition. CVPR 2020: 906-915 - [c49]Weipeng Li, Jiaxin Zhuang, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng:
Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis. ISBI 2020: 1996-2000 - [c48]Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng:
Deep kNN for Medical Image Classification. MICCAI (1) 2020: 127-136 - [c47]Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang:
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. MICCAI (4) 2020: 187-196 - [c46]Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 297-304 - [c45]Yifan Mao, Feifei Xue, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng, Hongmei Liu:
Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders. MICCAI (6) 2020: 529-538 - [c44]Siyuan Li, Qingsha S. Cheng, Jianguo Zhang:
Deep Multi-path Low-Light Image Enhancement. MIPR 2020: 91-96 - [i14]Hongwei Li, Timo Loehr, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation. CoRR abs/2001.09313 (2020) - [i13]Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang:
TEA: Temporal Excitation and Aggregation for Action Recognition. CoRR abs/2004.01398 (2020) - [i12]Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. CoRR abs/2008.01216 (2020) - [i11]Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia:
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds. CoRR abs/2012.07498 (2020)
2010 – 2019
- 2019
- [j28]Yan Li, Junge Zhang, Kaiqi Huang, Jianguo Zhang:
Mixed Supervised Object Detection with Robust Objectness Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 639-653 (2019) - [j27]Jianfang Hu, Wei-Shi Zheng, Lianyang Ma, Gang Wang, Jianhuang Lai, Jianguo Zhang:
Early Action Prediction by Soft Regression. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2568-2583 (2019) - [j26]Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c43]Xionghui Wang, Jianfang Hu, Jian-Huang Lai, Jianguo Zhang, Wei-Shi Zheng:
Progressive Teacher-Student Learning for Early Action Prediction. CVPR 2019: 3556-3565 - [c42]Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation. STACOM@MICCAI 2019: 317-325 - [c41]Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. MICCAI (4) 2019: 795-803 - [c40]Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng:
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. MIDL 2019: 588-597 - [i10]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - [i9]Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis. CoRR abs/1904.12894 (2019) - [i8]Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation. CoRR abs/1908.09298 (2019) - 2018
- [j25]Sophia Bano, Tamás Süveges, Jianguo Zhang, Stephen J. McKenna:
Multimodal Egocentric Analysis of Focused Interactions. IEEE Access 6: 37493-37505 (2018) - [j24]Hongwei Li, Gongfa Jiang, Jianguo Zhang, Ruixuan Wang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze:
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. NeuroImage 183: 650-665 (2018) - [j23]Shaofan Lai, Wei-Shi Zheng, Jianfang Hu, Jianguo Zhang:
Global-Local Temporal Saliency Action Prediction. IEEE Trans. Image Process. 27(5): 2272-2285 (2018) - [j22]Siyamalan Manivannan, Wenqi Li, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features. IEEE Trans. Medical Imaging 37(1): 210-221 (2018) - [c39]Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang:
Discriminative Learning of Latent Features for Zero-Shot Recognition. CVPR 2018: 7463-7471 - [c38]Jianfang Hu, Wei-Shi Zheng, Jiahui Pan, Jianhuang Lai, Jianguo Zhang:
Deep Bilinear Learning for RGB-D Action Recognition. ECCV (7) 2018: 346-362 - [c37]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. BrainLes@MICCAI (1) 2018: 199-207 - [i7]Hongwei Li, Gongfa Jiang, Ruixuan Wang, Jianguo Zhang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze:
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images. CoRR abs/1802.05203 (2018) - [i6]Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang:
Mixed Supervised Object Detection with Robust Objectness Transfer. CoRR abs/1802.09778 (2018) - [i5]Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang:
Discriminative Learning of Latent Features for Zero-Shot Recognition. CoRR abs/1803.06731 (2018) - [i4]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. CoRR abs/1807.05153 (2018) - 2017
- [j21]Jingjing Zhang, Jianguo Zhang, Maria Coats, Wenqi Li, Frank A. Carey, Stephen J. McKenna:
Multi-scale analysis of the surface morphology of colorectal polyps from optical tomography. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 318-328 (2017) - [j20]Jianfang Hu, Wei-Shi Zheng, Jianhuang Lai, Jianguo Zhang:
Jointly Learning Heterogeneous Features for RGB-D Activity Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2186-2200 (2017) - [c36]Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
A Multi-Task Deep Network for Person Re-Identification. AAAI 2017: 3988-3994 - [c35]Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification. CVPR 2017: 1320-1329 - [c34]Sophia Bano, Jianguo Zhang, Stephen J. McKenna:
Finding Time Together: Detection and Classification of Focused Interaction in Egocentric Video. ICCV Workshops 2017: 2322-2330 - [c33]Haocheng Shen, Jianguo Zhang:
Fully connected CRF with data-driven prior for multi-class brain tumor segmentation. ICIP 2017: 1727-1731 - [c32]Haocheng Shen, Jianguo Zhang, Wei-Shi Zheng:
Efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation. ICIP 2017: 3864-3868 - [c31]Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. MICCAI (2) 2017: 433-441 - [c30]Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Multi-task Fully Convolutional Network for Brain Tumour Segmentation. MIUA 2017: 239-248 - [i3]Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
Beyond triplet loss: a deep quadruplet network for person re-identification. CoRR abs/1704.01719 (2017) - 2016
- [j19]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. Pattern Recognit. 51: 12-26 (2016) - [j18]Xiaojuan Wang, Wei-Shi Zheng, Xiang Li, Jianguo Zhang:
Cross-Scenario Transfer Person Reidentification. IEEE Trans. Circuits Syst. Video Technol. 26(8): 1447-1460 (2016) - [c29]Hongwei Li, Hao Huang, Wei-Shi Zheng, Xiaohua Xie, Jianguo Zhang:
HEp-2 specimen classification via deep CNNs and pattern histogram. ICPR 2016: 2145-2149 - [c28]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Local structure prediction for gland segmentation. ISBI 2016: 799-802 - [c27]Wenqi Li, Siyamalan Manivannan, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks. ISBI 2016: 1405-1408 - [i2]Hongwei Li, Jianguo Zhang, Wei-Shi Zheng:
Deep CNNs for HEp-2 Cells Classification : A Cross-specimen Analysis. CoRR abs/1604.05816 (2016) - [i1]Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang:
A Multi-task Deep Network for Person Re-identification. CoRR abs/1607.05369 (2016) - 2015
- [j17]Wenqi Li, Maria Coats, Jianguo Zhang, Stephen J. McKenna:
Discriminating dysplasia: Optical tomographic texture analysis of colorectal polyps. Medical Image Anal. 26(1): 57-69 (2015) - [j16]Jianguo Zhang, Quansong Li, Hui Zhang, Yongxin Sui, Huaijiang Yang:
Investigation of Micro Square Structure Fabrication by Applying Textured Cutting Tool in WEDM. Micromachines 6(10): 1427-1434 (2015) - [j15]Jing Li, Wei Xu, Jianguo Zhang, Maojun Zhang, Zhengming Wang, Xuelong Li:
Efficient Video Stitching Based on Fast Structure Deformation. IEEE Trans. Cybern. 45(12): 2707-2719 (2015) - [j14]Xiaobin Chang, Wei-Shi Zheng, Jianguo Zhang:
Learning Person-Person Interaction in Collective Activity Recognition. IEEE Trans. Image Process. 24(6): 1905-1918 (2015) - [c26]Bran Hongwei Li, Jianguo Zhang, Wei-Shi Zheng:
HEp-2 cells staining patterns classification via wavelet scattering network and random forest. ACPR 2015: 406-410 - [c25]Yu Liu, Huaxin Xiao, Zheng Zhang, Wei Xu, Maojun Zhang, Jianguo Zhang:
Data Separation of L1-minimization for Real-time Motion Detection. BMVC 2015: 75.1-75.12 - [c24]Jianfang Hu, Wei-Shi Zheng, Jian-Huang Lai, Jianguo Zhang:
Jointly learning heterogeneous features for RGB-D activity recognition. CVPR 2015: 5344-5352 - [c23]Wenqi Li, Jianguo Zhang, Stephen J. McKenna:
Multiple Instance Cancer Detection by Boosting Regularised Trees. MICCAI (1) 2015: 645-652 - 2014
- [j13]Carlos M. Travieso, Jianguo Zhang, Paul Miller, Jesús B. Alonso:
Using a Discrete Hidden Markov Model Kernel for lip-based biometric identification. Image Vis. Comput. 32(12): 1080-1089 (2014) - [c22]Haocheng Shen, Jianguo Zhang, Hui Zhang:
Human Action Recognition by Random Features and Hand-Crafted Features: A Comparative Study. ECCV Workshops (2) 2014: 14-28 - [c21]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. I3A@ICPR 2014: 37-40 - [c20]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. I3A@ICPR 2014: 41-44 - [c19]Jingjing Zhang, Stephen J. McKenna, Jianguo Zhang, Maria Coats, Frank A. Carey:
Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction. MIUA 2014: 67-72 - [c18]Matthew Collins, Paul Miller, Jianguo Zhang:
Gait Based Gender Recognition Using Sparse Spatio Temporal Features. MMM (2) 2014: 80-91 - 2013
- [j12]Darryl Stewart, Adrian Pass, Jianguo Zhang:
Gender classification via lips: static and dynamic features. IET Biom. 2(1): 28-34 (2013) - [j11]Wei Xu, Wang Chen, Jianguo Zhang, Maojun Zhang:
Angle consistency for registration between catadioptric omni-images and orthorectified aerial images. IET Image Process. 7(4): 343-354 (2013) - [j10]Huiyu Zhou, Jianguo Zhang, Liang Wang, Zhengyou Zhang, Lisa M. Brown:
"Pattern Recognition" special issue: Sparse representation for event recognition in video surveillance. Pattern Recognit. 46(7): 1748-1749 (2013) - [c17]Wei Xu, Jianguo Zhang, Hu Xu, Maojun Zhang:
Height estimation of urban buildings using angle consistency of borderlines of roofs. ICME Workshops 2013: 1-3 - [c16]Wenqi Li, Jianguo Zhang, Stephen J. McKenna, Maria Coats, Frank A. Carey:
Classification of colorectal polyp regions in optical projection tomography. ISBI 2013: 736-739 - [c15]Wenqi Li, Jianguo Zhang, Wei-Shi Zheng, Maria Coats, Frank A. Carey, Stephen J. McKenna:
Learning from Partially Annotated OPT Images by Contextual Relevance Ranking. MICCAI (3) 2013: 429-436 - 2012
- [j9]Ling Shao, Ling Ji, Yan Liu, Jianguo Zhang:
Human action segmentation and recognition via motion and shape analysis. Pattern Recognit. Lett. 33(4): 438-445 (2012) - [j8]Simon Jones, Ling Shao, Jianguo Zhang, Yan Liu:
Relevance feedback for real-world human action retrieval. Pattern Recognit. Lett. 33(4): 446-452 (2012) - 2011
- [j7]Carlos M. Travieso, Jianguo Zhang, Paul Miller, Jesús B. Alonso, Miguel A. Ferrer:
Bimodal biometric verification based on face and lips. Neurocomputing 74(14-15): 2407-2410 (2011) - [c14]Huiyu Zhou, Paul Miller, Jianguo Zhang:
Age classification using Radon transform and entropy based scaling SVM. BMVC 2011: 1-12 - [c13]Vasileios Mezaris, Ansgar Scherp, Ramesh C. Jain, Mohan S. Kankanhalli, Huiyu Zhou, Jianguo Zhang, Liang Wang, Zhengyou Zhang:
Modeling and representing events in multimedia. ACM Multimedia 2011: 613-614 - [p1]Jianguo Zhang, Shaogang Gong:
Fusion of Motion and Appearance for Robust People Detection in Cluttered Scenes. Intelligent Video Event Analysis and Understanding 2011: 111-124 - 2010
- [j6]Jianguo Zhang, Shaogang Gong:
Action categorization by structural probabilistic latent semantic analysis. Comput. Vis. Image Underst. 114(8): 857-864 (2010) - [j5]Jianguo Zhang, Shaogang Gong:
Action categorization with modified hidden conditional random field. Pattern Recognit. 43(1): 197-203 (2010) - [c12]Paul Miller, Weiru Liu, Chris Fowler, Huiyu Zhou, Jiali Shen, Jianbing Ma, Jianguo Zhang, WeiQi Yan, Kieran McLaughlin, Sakir Sezer:
Intelligent Sensor Information System For Public Transport - To Safely Go... AVSS 2010: 533-538 - [c11]Adrian Pass, Ji Ming, Philip Hanna, Jianguo Zhang, Darryl Stewart:
Inter-frame contextual modelling for visual speech recognition. ICIP 2010: 93-96 - [c10]Adrian Pass, Jianguo Zhang, Darryl Stewart:
AN investigation into features for multi-view lipreading. ICIP 2010: 2417-2420 - [c9]Adrian Pass, Jianguo Zhang, Darryl Stewart:
Feature selection for pose invariant lip biometrics. INTERSPEECH 2010: 1165-1168 - [e1]Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones:
Intelligent Video Event Analysis and Understanding. Studies in Computational Intelligence 332, 2010, ISBN 978-3-642-17553-4 [contents]
2000 – 2009
- 2009
- [j4]Jianguo Zhang, Shaogang Gong:
People detection in low-resolution video with non-stationary background. Image Vis. Comput. 27(4): 437-443 (2009) - [c8]Matthew Collins, Jianguo Zhang, Paul Miller, Hongbin Wang:
Full body image feature representations for gender profiling. ICCV Workshops 2009: 1235-1242 - [c7]Hugh Gribben, Paul Miller, Jianguo Zhang, Mark Browne:
Poisson Kalman Particle Filtering for Tracking Centrosomes in Low-Light 3-D Confocal Image Sequences. IMVIP 2009: 83-88 - [c6]Adrian Pass, Jianguo Zhang, Darryl Stewart:
Hidden Conditional Random Fields for Visual Speech Recognition. IMVIP 2009: 117-122 - 2007
- [j3]Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid:
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. Int. J. Comput. Vis. 73(2): 213-238 (2007) - 2006
- [c5]Jean Ponce, Tamara L. Berg, Mark Everingham, David A. Forsyth, Martial Hebert, Svetlana Lazebnik, Marcin Marszalek, Cordelia Schmid, Bryan C. Russell, Antonio Torralba, Christopher K. I. Williams, Jianguo Zhang, Andrew Zisserman:
Dataset Issues in Object Recognition. Toward Category-Level Object Recognition 2006: 29-48 - [c4]Jianguo Zhang, Marcin Marszalek, Svetlana Lazebnik, Cordelia Schmid:
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. CVPR Workshops 2006: 13 - 2005
- [c3]Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - 2003
- [j2]Jianguo Zhang, Tieniu Tan:
Affine invariant classification and retrieval of texture images. Pattern Recognit. 36(3): 657-664 (2003) - 2002
- [j1]Jianguo Zhang, Tieniu Tan:
Brief review of invariant texture analysis methods. Pattern Recognit. 35(3): 735-747 (2002) - [c2]Jianguo Zhang, Tieniu Tan, Li Ma:
Invariant Texture Segmentation Via Circular Gabor Filters. ICPR (2) 2002: 901-904 - 2001
- [c1]Jianguo Zhang, Tieniu Tan:
Affine invariant texture signatures. ICIP (2) 2001: 618-621
Coauthor Index
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