Journal Papers

Li, Haoxin, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, and Jian-Huang Lai. Egocentric Action Recognition by Automatic Relation Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).

Feng, Yuantao, Shiqi Yu, Hanyang Peng, Yan-Ran Li, and Jianguo Zhang. Detect Faces Efficiently: A Survey and Evaluations. IEEE Transactions on Biometrics, Behavior, and Identity Science 4, no. 1 (2021): 1-18.

Haocheng Shen, Jingkun Chen, Ruixuan Wang, Jianguo Zhang, Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection, IEEE Access, 2020.

Hugo J. Kuijf, & Jianguo Zhang, et al, Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities: Results of the WMH Segmentation Challenge, IEEE Transactions on Medical Imaging, 2019. (Summary of the Contest, and Winning method for the International challenge on brain White Matter Hyperintensities (WMH) segmentation, MICCAI 2017. See our neuroimage paper for the details of the method)

Jian-Fang Hu, Wei-Shi Zheng, Lianyang Ma, Gang Wang, Jianhuang Lai, and Jianguo Zhang, Early Action Prediction by Soft Regression, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

Hongwei Li, Gongfa Jiang, Jianguo Zhang, Ruixuan Wang, Zhaolei Wang, Wei-Shi Zheng, Bjoern Menze, Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images, NeuroImage, 2018 (Winning method for the International challenge on brain White Matter Hyperintensities (WMH) segmentation, MICCAI 2017) CODE : docker and github

S. Bano, T. Suveges, J Zhang, S McKenna, Multimodal, Egocentric Analysis of Focused Interactions, IEEE Access, 2018.

Sotirios Bisdas*, Haocheng Shen*, Steffi Thust, Vasileios Katsaros, George Stranjalis, Christos Boskos, Sebastian Brandner, and Jianguo Zhang, Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a preliminary study, Scientific Report, Nature 2018 (Winning method for Olea Medical Innovation Contest) (* - equally contributing author)

Siyamalan Manivannan, Wenqi Li, Jianguo Zhang, Emanuele Trucco, Stephen McKenna, Structure Prediction for Gland Segmentation with Hand-Crafted and Deep Convolutional Features, IEEE Trans on Medical Imaging 2018.

Yan Li, Junge Zhang, Kaiqi Huang, Jianguo Zhang, Mixed Supervised Object Detection with Robust Objectness Transfer, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

Shaofan Lai, Weishi Zheng, Jiangfang Hu, Jianguo Zhang, Global-Local Temporal Saliency Action Prediction, IEEE Transactions on Image Processing, 2017.

J. Hu, W. Zheng, J. Lai, J. Zhang , Jointly Learning Heterogeneous Features for RGB-D Activity Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.39 (11), 2017, pp.2186-2200. 

S. Manivannan, W. Li, S. Akbar, R. Wang, J. Zhang , S.J. McKenna, An automated pattern recognition system for classifying indirect immunofluorescence images for HEp-2 cells and specimens, Pattern Recognition Volume 51, March 2016, p. 12-26.( Winning methods for ICPR14 I3A Competition - cell and specimens classification)

Wenqi Li, Maria Coats, Jianguo Zhang, Stephen McKenna, Discriminating dysplasia: optical tomographic texture analysis of colorectal polyps Medical Image Analysis,Vol.26(1),2015, p.57-69.

Xiaojuan Wang, WeiShi Zheng, Xiang Li, Jianguo Zhang, Cross-scenario Transfer Person Re-identification, IEEE Transactions on Circuits and Systems for Video Technology, 2015.

Xiaobin Chang, Weishi Zheng, Jianguo Zhang, Learning Person-Person Interaction in Collective Activity Recognition, IEEE Trans. on Image Processing, 2015.

J. LI, W. Xu, J. Zhang, M. Zhang, Z, Wang and X Li, Efficient Video Stitching Based on Fast Structure Deformation, IEEE Trans. on Cybernetics, 2015.

C.M. Travieso, J. Zhang , P. Miller, and J.B. Alonso, Using a discrete Hidden Markov Model Kernel for lip-based biometric identification, Image and Vision Computing . 32, 12, p. 1080-1089, 2014.

Huiyu Zhou, Jianguo Zhang, Liang Wang, Zhengyou Zhang, Brown, Lisa (eds), special issue: Sparse representation for event recognition in video surveillance. Pattern Recognition, Vol. 46, No. 7, 2013, p. 1748-1749.

Stewart, Darryl; Pass, Adrian; Zhang, Jianguo: Gender classification via lips: static and dynamic features, IET Biometrics, 2, (1), p. 28-34, 2013

Wei Xu, Wang Chen, Jianguo Zhang, Maojun Zhang, Angle consistency for registration between catadioptric omni-images and orthorectified aerial images, IET Image processing 2013.

L. Shao, L. Ji, Y. Liu and J. Zhang, Human Action Segmentation and Recognition via Motion and Shape Analysis, Pattern Recognition Letters, 2012.  [ Most downloaded article in 2013]

S. Jones, L. Shao, J. Zhang and Y. Liu, Relevance Feedback for Real World Human Action Retrieval, Pattern Recognition Letters, 2012.

Carlos M. Travieso, Jianguo Zhang, Paul Miller, Jesus B. Alonso, Miguel A. Ferrer, Bimodal biometric verification based on face and lips, Neurocomputing, 2011.

Jianguo zhang and Shaogang gong, Action Categorization by Structural Probabilistic Latent Semantic Analysis , Computer Vision and Image Understanding, 2010

Jianguo zhang and Shaogang gong, Action Categorization with Modified Hidden Conditional Random Field, Pattern Recognition Vol.43, No. 1, pp.197-203, 2010.

Jianguo Zhang and Shaogang Gong, People Detection in Low-Resolution Video with Non-Stationary Background, Image and Vision Computing Vol. 27, No.4, pp. 437-443, 2009.

Jianguo Zhang, Marcin Marszałek, Svetlana Lazebnik, Cordelia Schmid; Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study; International Journal of Computer Vision, Vol.73, No. 2, pp. 213-238,2007

Jianguo Zhang, Tieniu Tan, Affine invariant retrieval and classification of texture images, Pattern Recognition, Vol. 36/3 pp. 215-223, 2003.

Jianguo Zhang, Tieniu Tan, Brief review of invariant texture analysis methods, Pattern Recognition, Vol. 35/3, pp.735-747, 2002.

Conference Papers

Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang, Jianguo Zhang. TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning. European Conference On Computer Vision, 2022.

Xia, Jiahao, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, and Min Xu. Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4052-4061. 2022.

Wenjian Huang, Hao Wang, Chengyan Wang, Jianguo Zhang. Density-driven Regularization for Out-of-distribution Detection. Thirty-sixth Conference on Neural Information Processing Systems, 2022.

Kaiwei Che Che, Kaixuan Zhang, Luziwei Leng, Jianguo Zhang, Qinghu Meng, Jie Cheng, Guo Qinghai, Jianxing Liao. Differentiable hierarchical and surrogate gradient search for spiking neural networks. Thirty-sixth Conference on Neural Information Processing Systems, 2022.

Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng. Discrete Time Convolution for Fast Event-Based Stereo. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.

Hu, Qingqiao, Hongwei Li, and Jianguo Zhang. Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 495-504. Springer, Cham, 2022.

Li, Hongwei, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, and Bjoern Menze. Imbalance-aware self-supervised learning for 3d radiomic representations. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 36-46. Springer, Cham, 2021.

Zhao, Wenbin, Jiabao Lei, Yuxin Wen, Jianguo Zhang, and Kui Jia. Sign-agnostic implicit learning of surface self-similarities for shape modeling and reconstruction from raw point clouds. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10256-10265. 2021.

Zhuang, Jiaxin, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, and Wei-Shi Zheng. Deep kNN for medical image classification. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 127-136. Springer, Cham, 2020.

Mao, Yifan, Fei-Fei Xue, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng, and Hongmei Liu. Abnormality detection in chest x-ray images using uncertainty prediction autoencoders. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 529-538. Springer, Cham, 2020.

Li, Siyuan, Qingsha S. Cheng, and Jianguo Zhang. Deep multi-path low-light image enhancement. 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2020.

Li, Hongwei, Jianguo Zhang, and Bjoern Menze. Generalisable cardiac structure segmentation via attentional and stacked image adaptation. International Workshop on Statistical Atlases and Computational Models of the Heart. Springer, Cham, 2020.

Weipeng Li, Jiaxin Zhuang, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng, Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) (pp.1996-2000), 2020.

Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang, Tea: Temporal excitation and aggregation for action recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 909-918), 2020.

Xionghui Wang, Jian-Fang Hu, Jianhuang Lai, Jianguo Zhang and Wei-Shi Zheng, Progressive Teacher-student Learning for Early Action Prediction, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data, Medical Imaging with Deep Learning Conference (MIDL -- in par with MICCAI) 2019

Jian-Fang Hu, Wei Shi Zheng, Jiahui Pan, Jian-Huang Lai, Jianguo Zhang, Deep Bilinear Learning for RGB-D Action Recognition, ECCV, 2018

Hongwei Li, Jianguo Zhang , Mark Muehlau, Jan Kirschke, and Bjoern Menze, Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation, BrainLes, MICCAI 2018

Yan Li, Junge Zhang, jianguo Zhang, Kaiqi Huang, Discriminative Learning of Latent Features for Zero-Shot Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Oral) (PDF)

Weihua Chen, Xiaotang Chen, Jianguo Zhang and Kaiqi Huang, Beyond triplet loss: a deep quadruplet network for person re-identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

Sophia Bano, Jianguo Zhang, Stephen McKenna, Finding Time Together: Detection and Classification of Focused Interaction in Egocentric Video, ICCV - EPIC 2017.

Weihua Chen, Xiaotang Chen, Jianguo Zhang and Kaiqi Huang, A multi-task deep network for person re-identification, the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017 (Code)

Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen McKenna, Boundary-aware Fully Convolutional Network for Brain Tumor Segmentation, MICCAI 2017.

Yiliang Chen, Zichang Tan, Alex Po Leung, Jun Wan and Jianguo Zhang, Multi-Region Ensemble Convolutional Neural Networks for High Accuracy Age Estimation, BMVC 2017.

Haocheng Shen, Jianguo Zhang, Weishi Zheng, efficient symmetry-driven fully convolutional network for multimodal brain tumor segmentation, IEEE International Conference on Image Processing (ICIP), 2017

Haocheng Shen, Jianguo zhang, fully connected CRF with data-driven prior for multi-class brain tumor segmentation, IEEE International Conference on Image Processing (ICIP), 2017

Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen McKenna, Multi-task Fully Convolutional Network for Brain Tumour Segmentation UK Conference on Medical Image Understanding and Analysis (MIUA), 2017

Wenqi Li, Siyamalan Manivannan, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen McKenna, Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks, IEEE International Symposium on Biomedical Imaging (ISBI), 2016.

Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen McKenna, Local structure prediction for gland segmentation, IEEE International Symposium on Biomedical Imaging (ISBI) (2016)

Yu Liu, Huaxin Xiao, Zheng Zhang, Wei Xu, maojun Zhang and Jianguo Zhang, Data Separation of L1-minimization for Real-time Motion Detection, British Machine Vision Conference (BMVC), 2015.

Hongwei Li, Jianguo Zhang, Wei-Shi Zheng HEp-2 Cells Staining Patterns Classification via Wavelet Scattering Network and Random Forest Asian Conference on Pattern Recognition, 2015

J. Hu, W. Zheng, J. Lai, J. Zhang , Jointly Learning Heterogeneous Features for RGB-D Activity Recognition, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Wenqi Li, Jianguo Zhang, and Stephen McKenna, Multiple Instance Cancer Detection by Boosting Regularised Trees, International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2015.

S. Manivannan1, H. Shen, W. Li, R. Annunziata1, H. Hamad, R. Wang, J. Zhang Brain Tumor Region Segmentation using Local Co-occurrence Features and Conditional Random Fields, MICCAI 2014 - Brain Tumor Digital Pathology Segmentation Challenge. ( Best Performing Runner up, 2014, Harvard ).

S. Manivannan, W. Li, S. Akbar, R. Wang R, J. Zhang , S. McKenna, HEp-2 Cell Classification using Multi-resolution Local Patterns and Ensemble SVMs International Conference on Pattern Recognition - I3A , 2014. (Winner of ICPR-I3A Contest: Task 1, 2014, Stockholm)

S. Manivannan, W Li, S Akbar, R Wang, J Zhang, S McKenna, HEp-2 Specimen Classification using Multi-resolution Local Patterns and SVM, International Conference on Pattern Recognition - I3A , 2014. ( Winner of ICPR-I3A Contest: Task 2, 2014, )

Jingjing Zhang, Stephen McKenna, Jianguo Zhang, Maria Coats, Frank Carey, Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction, 18th Conference on Medical Image Understanding and Analysis, MIUA 2014 (( Best Cancer Paper Award)

Haocheng Shen, Jianguo Zhang, Hui Zhang, Human Action Recognition by Random Features and Hand-Crafted Features: A Comparative Study , ECCV 2014 - VECTaR workshop.

Wenqi Li, Jianguo Zhang, Weishi Zheng, Maria Coats, Frank Carey, Stephen McKenna,Learning from Partially Annotated OPT Images by Contextual Relevance Ranking, International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013.

Wenqi Li, Maria Coats, Jianguo Zhang, Stephen McKenna, , Comparative Analysis of Feature Extraction Methods for Colorectal Polyp Images in Optical Projection Tomography, 17th Conference on Medical Image Understanding and Analysis, MIUA 2013 ( Best Student Paper Award)

Wenqi Li, Jianguo Zhang, Stephen McKenna, Maria Coats,Frank Carey Classification of Colorectal Polyp Regions in Optical Projection Tomography, International Symposium on Biomedical Imaging (ISBI) , 2013.

Wei Xu, Jianguo Zhang, Hu Xu, Maojun Zhang, Height Estimation of Urban Buildings Using Angle Consistency of Borderlines of Roofs, IEEE International Conference on Multimedia and Expo (ICME) 2013.

Huiyu Zhou, Paul Miller, Jianguo Zhang, Age Classification using Randon Transform and Entropy based Scaling SVM, British Machine Vision Conference, 2011.

Wenqi Li, Jianguo Zhang, Learning Soft Combination of Spatial Pyramid for Action Recognition, British Machine Vision Conference Student Workshop, 2011.

Sriram Varadarajan, Huiyu Zhou, Paul Miller, Jianguo Zhang, Motion Detection in Moving Transport, British Machine Vision Conference Student Workshop, 2011.

Adrian Pass, Jianguo Zhang, Darryl Stewart, Feature Selection for Pose Invariant Lip Biometrics, InterSpeech 2010.

Adrian Pass, Jianguo Zhang, Darryl Stewart, An Investigation into Features for Multi-view Lipreading, IEEE International Conference on Image Processing (ICIP) 2010.

Adrian Pass, Ji Ming, Philip Hanna, Jianguo Zhang, Darryl Stewart, Inter-frame Contextual Modelling for Visual Speech Recognition, IEEE International Conference on Image Processing (ICIP) 2010.

Giuseppe Correnti, Sriram Varadarajan, Jianguo Zhang Analysis of Spatially-aligned SURF Features for Pedestrian Classification, International Machine Vision and Image Processing Conference, 2010.

Matthew Collins, Jianguo Zhang, Paul Miller, Hongbin Wang, Huiyu Zhou, EigenBody: Analysis of body shape for gender from noisy images International Machine Vision and Image Processing Conference, 2010.

Paul Miller, Weiru Liu, Chris Fowler, Kieran McLaughlin, Huiyu Zhou, Jiali Shen, Jianbing Ma, Hongbin Wang, Jianguo Zhang, WeiQi Yan, Sakir Sezer, Intelligent Sensor Information System for Public Transport: To Safely Go , IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2010).

Matthew Collins, Jianguo Zhang, Paul Miller, Hongbin Wang, Full Body Image Feature Representations For Gender Profiling, ICCV 2009: IEEE Workshop on Visual Surveillance, 2009.

Adrian Pass, Jianguo Zhang, and Darryl Stewart, Hidden Conditional Random Fields for Visual Speech Recognition International Machine Vision and Image Processing Conference, 2009.

Hugh Gribben, Paul Miller, Jianguo Zhang and Mark Browne, Poisson Kalman Particle Filtering For Tracking Centrosomes In Low-Light 3-D Confocal Image Sequences, International Machine Vision and Image Processing Conference, 2009.

A.Grunwald de la Cuesta, Jianguo Zhang, Paul Miller, Biometric Identification using Motion History Images of a Speaker's Lip Movements, International Machine Vision and Image Processing Conference , pp.83-88, 2008 ( Best Paper Award)

Jianguo Zhang, Marcin Marszałek, Svetlana Lazebnik, Cordelia Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, Beyond Patches workshop, in conjunction with CVPR - 2006.

Jianguo Zhang , Shaogang Gong, Beyond Static Detectors: A Bayesian Approach to Fusing Long-term Motion with Appearance for Robust People Detection in Highly Cluttered Scenes,ECCV 2006:Workshop on Visual Surveillance, pp. 121-128, Graz, 2006

Jianguo Zhang, Tieniu Tan, Li Ma, Invariant texture segmentation via circular Gabor filter, Proceedings of the 16th IAPR International Conference on Pattern Recognition (ICPR), Vol II, pp. 901-904, 2002

Jianguo Zhang Tieniu Tan, Affine invariant texture analysis based on structural properties, Proceedings of the Fifth Asian Conference on Computer Vision (ACCV 2002), pp.216-221, 2002.

Jianguo Zhang , Tieniu Tan, Affine invariant texture signatures, Proceedings of IEEE International Conference on Image Processing (ICIP), pp.618-621, 2001.

Jianguo Zhang, Tieniu Tan, New texture signatures and their use in rotation invariant texture classification;, ECCV Texture 2002 (The 2nd international workshop on texture analysis and synthesis) pp. 157-162

Jianguo Zhang, Kai-Kuang Ma, Meng Hwa Er, Vincent Chong, Tumor Segmentation from Magnetic Resonance Imaging by Learning via one-class support vector machine, International Workshop on Advanced Image Technology (IWAIT04), 2004