Jie Chen (陈杰)
Associate Professor (副教授， 博导)
School of Electronic and Computer Engineering
Shenzhen Graduate School, Peking University
Email: jiechen2019 {at} pku {dot} edu {at} cn
Research Interests:
Deep Learning, Computer Vision, Machine Learning, and Medical Image Analysis
Workshop and Special issue (SI)
2014: ACCV2014 workshop Neurocomputing SI
2016: CVPR2016 Workshop
2017: ICCV2017 workshop TPAMI SI
2018: IJCV SI
2020: ECCV challenge
Short Biography
Currently, I am an Associate Professor with the School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China.
I received Ph. D degree in computer science from Harbin Institute of Technology in September 2007. During this period, I worked as a research assistant on Computer Vision and Pattern Recognition in the Face Group of Joint Research & Development Laboratory(Chinese) in Institute of Computing Technology (ICT) of Chinese Academy of Sciences (CAS). My supervisor was Prof. Wen Gao. From 2007 to 2018, I worked in Machine Vision Group, University of Oulu, as a senior researcher.
Publications
2020
Y. Zhai, S. Lu, Q. Ye, X. Shan, J. Chen, R. Ji，Y. Tian，AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification，The Conference on Computer Vision and Pattern Recognition (CVPR) 2020
L. Liu, W. Ouyang, X. Wang, P. Fieguth, J. Chen, X.Liu, M. Pietikainen, Deep Learning for Generic Object Detection: A Survey, International Journal of Computer Vision（IJCV）, 2020
W. Ke, J. Chen, J. Jiao, G. Zhao, and Q. Ye，SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond，IEEE Transactions on Neural Networks and Learning Systems, (accepted) (SCI: 11.7) （TNNLS）2020
M. Pietikainen, L. Liu, J. Qin, J. Chen, W. Ouyang, L. V. Gool, Efficient Visual Recognition, Editorial for a special Issue of International Journal of Computer Vision, 2020 (accepted) (SCI: 6.1) （IJCV）
2019
M. Pietikainen, L. Liu, J. Chen, X. Wang, G. Zhao, R. Chellappa, Compact and Efficient Feature Representation and Learning in Computer Vision, Editorial for a special issue on IEEE Trans. on Pattern Analysis and Machine Intelligence, 2019 （TPAMI）
L. Liu, J. Chen, P. Fieguth, G. Zhao, R. Chellappa, M. Pietikainen, From BoW to CNN: Two Decades of Texture Representation for Texture Classification, International Journal of Computer Vision 2019 (IJCV)
L. Liu, J. Chen, G. Zhao, P. Fieguth, X. Chen, M. Pietikainen, Texture Classification in Extreme Scale Variations using GANet, IEEE Trans. Image Processing（TIP） 2019
Y. Xu, X. Hong, J. Chen, X. Liu, F. Porikli, G. Zhao, Saliency Integration: An Arbitrator Model, IEEE Transactions on Multimedia, 2019 (SCI: 5.5)（TMM）
L. Huang, W. Wang, Y. Xia and J. Chen, Adaptively Aligned Image Captioning via Adaptive Attention Time. In Advances in Neural Information Processing Systems (NeurIPS), 2019.
L. Huang, W. Wang, J. Chen and X. Wei, Attention on Attention for Image Captioning. In IEEE International Conference on Computer Vision (ICCV), 2019. (Oral)
2018
Li Liu, Wanli Ouyang, Xiaogang Wang, P. Fieguth, J. Chen, X. Liu, M. Pietikainen, Deep Learning for Generic Object Detection: A Survey, 2018 https://arxiv.org/abs/1809.02165.
Li Liu, J. Chen, P. Fieguth, G. Zhao, R. Chellappa, M. Pietikainen, From BoW to CNN: Two Decades of Texture Representation for Texture Classification, International Journal of Computer Vision, 2018
Li Liu, Jie Chen, Guoying Zhao, Paul Fieguth, Xilin Chen, Matti Pietikäinen, Texture Classification in Extreme Scale Variations using GANet, arXiv preprint arXiv:1802.04441
Wei Ke, Jie Chen, Qixiang Ye, Deep contour and symmetry scored object proposal, Pattern Recognition Letters
Na Liu, Baofeng Zhang, Yuan Zong, Li Liu, Jie Chen, Guoying Zhao, Super Wide Regression Network For Unsupervised Cross-Database Facial Expression Recognition, ICASSP
Na Liu, Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Unsupervised Cross-Corpus Speech Emotion Recognition Using Domain-Adaptive Subspace Learning, ICASSP
王润民，叶齐祥， 陈杰，刘丽, 自然场景图像中的文字检测综述, 自动化学报
Xin Zhang, Yuxiang Xie, Jie Chen, Lingda Wu, Qixiang Ye, And Li Liu, Rotation Invariant Local Binary Convolution Neural Networks, IEEE ACCESS
2017
Xin Zhang, Li Liu, Yuxiang Xie, Jie Chen, Lingda Wu, and Matti Pietikainen, Rotation Invariant Local Binary Convolution Neural Networks, ICCV W 2017
Jie Chen, Vishal M. Patel, Li Liu , Vili Kellokumpu, Guoying Zhao, Matti Pietikainen, Rama Chellappa, Robust Local Features for Remote Face Recognition, Image and Vision Computing, 2017
Qing Liu, Xiaopeng Hong, Beiji Zou, Jie Chen, Zailiang Chen, Guoying Zhao, Hierarchical Contour Closure based Holistic Salient Object Detection, IEEE Transactions on Image Processing, 2017 (code)
Qing Liu, Beiji Zou, Jie Chen, Wei Ke, Kejuan Yue, Zailiang Chen, Guoying Zhao. 2017. A Location-to-Segmentation Strategy for Automatic Exudate Segmentation in Colour Retinal Fundus Images. 2017. Computerized Medical Imaging and Graphics.
Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro, Self-learning scene-specific pedestrian detectors using a progressive latent model, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)
Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao and Qixiang Ye, SRN: Side-output residual network for object symmetry detection in the wild, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (Oral) (code and data)
2016
W. Ke, T. Zhang, J. Chen, F. Wan, and Q. Ye, Texture Complexity based Redundant Regions Ranking for Object Proposal, IEEE International Conference on Computer Vision and Pattern Recognition workshop, 2016
J. Chen, Z. Chang, Q. Qiu, X. Li, G. Sapiro, A. Bronstein, M Pietikäinen, RealSense = Real Heart Rate: Illumination Invariant Heart Rate Estimation from Videos， IPTA 2016
Qing Liu, Beiji Zou, Zailiang Chen, Chengzhang Zhu, Kejuan Yue Jie Chen, Guoying Zhao, Retinal Vessel Segmentation from Simple to Difficult, the 19th International Conference on Medical Image Computing and Computer Assisted Intervention Workshop, 2016
Liu Q, Zou B, Chen J, Ke W, Yue K, Chen Z, Zhao G. A Location-to-Segmentation Strategy for Automatic Exudate Segmentation in Colour Retinal Fundus Images, Computerized Medical Imaging and Graphics, 2016
J. Chen, O. Silven, X. Qi, G. Zhao, O. Tervonen, M. Pietikäinen, Thorax Disease Diagnosis Using Deep Convolutional Neural Network, the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC, 2016)
X Qi, G Zhao, J Chen, M Pietikäinen, Exploring Illumination Robust Descriptors for Human Epithelial Type 2 Cell Classification, Pattern Recognition, 2016
2015
Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alex Bronstein, Guillermo Sapiro, Low-cost Gaze and Pulse Analysis using RealSense, Proc. 5th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth2015).
Jie Chen, Zhen Lei , Li Liu , Guoying Zhao and Matti Pietikäinen, Editorial: RoLoD - Robust local descriptors for computer vision. Neurocomputing 2016.
Xianbiao Qi, Guoying Zhao , Jie Chen, Matti Pietikäinen, HEp-2 cell classification: The role of Gaussian scale space theory as a pre-processing approach. Pattern Recognition Letters. 2015
2014
Xiaobai Li, Jie Chen, Guoying Zhao and Matti Pietikäinen M (2014)
Remote heart rate measurement from face videos under realistic situations. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, 4265-4271.
Jerome Thevenot, Jie Chen, Mikko Finnila, Miika Nieminen, Petri Lehenkari, Simo Saarakkala and Matti Pietikainen, Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis, ECCV 2014 Second International Workshop on Computer Vision With Local Binary Patterns Variants (LBP'2014)
2013
Jie Chen, Vili-Petteri Kellokumpu, Guoying Zhao & Matti Pietikäinen (2013)
RLBP: Robust local binary pattern. Proc. the British Machine Vision Conference (BMVC 2013), Bristol, UK.
Jie Chen, Guoying Zhao, Salo M, Rahtu E & Matti Pietikäinen (2013)
Automatic dynamic texture segmentation using local descriptors and optical flow. IEEE Transactions on Image Processing, 22(1):326-339.
2012
Jie Chen, Guoying Zhao & Matti Pietikäinen (2012)
Unsupervised dynamic texture segmentation using local descriptors in volumes. Proc. 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, 3622-3625.
Liang J, Ye Q, Jie Chen & Jiao J (2012)
Evaluation of local feature descriptors and their combination for pedestrian representation. Proc. 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, 2496-2499.
2011
Jie Chen, Guoying Zhao, Vili-Petteri Kellokumpu & Matti Pietikäinen, Combining Sparse and Dense Descriptors with Temporal Semantic Structures for Robust Human Action Recognition. The 3rd International Workshop on Video Event Categorization, Tagging and Retrieval for Real-World Applications held In conjunction with IEEE International Conference on Computer Vision 2011 (VECTaR2011)
Ruiping Wang, Shiguang Shan, Xilin Chen, Jie Chen, Wen Gao. Maximal Linear Embedding for Dimensionality Reduction. IEEE Trans. on Pattern Analysis and Machine Intelligence. 33(9):1776-1792, 2011
2010
Jie Chen, Shiguang Shan, Chu He, Guoying Zhao, Matti Pietikäinen, Xilin Chen, Wen Gao. WLD: A Robust Local Image Descriptor. IEEE Trans. on Pattern Analysis and Machine Intelligence. 2010, (Vol. 32, No. 9) pp. 1705-1720, (code)
Shufu Xie, Shiguang Shan, Xilin Chen, Jie Chen. Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition. IEEE Trans. on Image Processing. Vol.19, No.5, pp1349-1361, 2010.5
2009
Jie Chen, Guoying Zhao & Matti Pietikäinen, An Improved Local Descriptor and Threshold Learning for Unsupervised Dynamic Texture Segmentation. The 2nd International Workshop on Machine Learning for Vision-based Motion Analysis held In conjunction with IEEE International Conference on Computer Vision 2009 (MLVMA2009)
Jie Chen, Xilin Chen, Jie Yang, Shiguang Shan, Ruiping Wang, Wen Gao, Optimization of a training set for more robust face detection , Pattern recognition, vol. 41, no. 11, pp.2828-2840, 2009 (Link for more details)
Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan Li, Matti Pietikäinen, Learning Mappings for Face Synthesis from Near Infrared to Visual Light Images, IEEE International Conference on Computer Vision and Pattern Recognition,CVPR2009 (part of the data is available here)
Yimo Guo, Jie Chen Guoying Zhao, Matti Pietikäinen and Zhengguang Xu, Multi-band Gradient Component Pattern (MGCP): a new Statistical Feature for Face Recognition. 16th Scandinavian Conference on Image Analysis (SCIA), 2009, Oslo, Norway.
Yimo Guo, Guoying Zhao, Jie Chen, Matti Pietikäinen and Zhengguang Xu. Dynamic texture synthesis using a spatial temporal descriptor. Proc. IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt.
Yimo Guo, Guoying Zhao, Jie Chen, Matti Pietikäinen and Zhengguang Xu. A New Gabor Phase Difference Pattern for Face and Ear Recognition. Proc.13th International Conference on Computer Analysis of Images and Patterns(CAIP 2009), Münster, Germany
2008
Jie Chen, Guoying Zhao & Matti Pietikäinen Unsupervised dynamic texture segmentation using local spatiotemporal descriptors. Proc. 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, FL.
Jie Chen, Shiguang Shan, Guoying Zhao, Xilin Chen, Wen Gao, Matti Pietikäinen. A Robust Descriptor based on Weber's Law. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR2008
2007
Jie Chen, Optimization of Training Set for Object Detection, Ph.D Dissertation, (In Chinese)
Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao. Face Detection Based on the Example Resampling by Manifold. IEEE Trans. on System Man, and Cybernetics (Part A). vol. 37, no. 6, pp.1017-1028. 2007.11
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set. IEEE International Conference on Computer Vision and Pattern Recognition,CVPR2007
2006
Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. Modification of the AdaBoost-based Detector for Partially Occluded Faces. The IEEE 7th international conference on pattern recognition. (ICPR2006) pp. 516 - 519 (Oral Presentation) (PPT) (data) (Fig.4)
Jie Chen, Ruiping Wang, Shiguang Shan, Xilin Chen, Wen Gao. Isomap Based on the Image Euclidean Distance. The IEEE 7th international conference on pattern recognition. (ICPR2006) pp. 1110- 1113
Ruiping Wang, Jie Chen, Shiguang Shan, Xilin Chen, Wen Gao. Enhancing Training Set for Face Detection. The IEEE 7th international conference on pattern recognition. (ICPR2006) pp477-480
2005
Jie Chen, Xilin Chen, Wen Gao. How to Train a Classifier Based on the Huge Face Database? IEEE International Workshop on Analysis and Modeling of Faces and Gestures held in conjunction with ICCV-2005, Beijing, China on October 16, 2005 (AMFG2005), LNCS 3723, pp. 84 – 95, Springer-Verlag. (SCI) (ppt）
Jie Chen, Xilin Chen, Wen Gao. Face Samples Expanding Based on the GA Re-Sampling. The Journal of Software. (In Chinese) 2005,16(11) pp.1894-1901 (EI)
Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao. Face detection based on the manifold. Audio- and Video-based Biometric Person Authentication. (AVBPA 2005), LNCS 3546, pp. 208-218, Springer-Verlag. (Oral--Regular Presentation)(SCI) (ppt in pdf)
Yuemin Li, Jie Chen, Laiyun Qing, Wen Gao, Baocai Yin. Face Detection under Variable Lighting Based on Nine Point of Light. Asian Journal of Information Technology, pp: 49-55, 2005. (PPT)
Jie Chen, Shiguang Shan, Peng Yang, Shengye Yan, Xilin Chen, Wen Gao. Novel Face Detection Method Based on Gabor Feature. The 5th Chinese Conference on Biometric Recognition, pp. 90–99, 2004. Springer-Verlag.(OralPresentation) (SCI) (PPT) (ppt in pdf) (Demo)
Jie Chen, Yuemin Li, Laiyun Qing, Baocai Yin, Wen Gao. Face Samples Re-Lighting for Detection Based on the Harmonic Images. The IEEE fifth Pacific-Rim Conference on Multimedia (PCM2004) pp. 585–592, 2004. (OralPresentation), Springer-Verlag. (SCI)(ppt in pdf)
Jie Chen, Xilin Chen, Wen Gao. Resampling for Face Detection by Self-Adaptive Genetic Algorithm. The IEEE 6th international conference on pattern recognition. (ICPR2004) pp: 822-825. (Oral Presentation) (PPT)
Jie Chen, Xilin Chen, Wen Gao. Expand Training Set for Face Detection by GA Re-sampling. The IEEE 6th international conference on automatic face and gesture recognition. (FG2004) pp.73-79 (Oral Presentation) (PPT)
Jie Chen, Hongxun Yao, Wen Gao, Shaohui Liu. A Robust Watermarking Method Based on Wavelet and Zernike Transform. The IEEE International symposium on Circuits and Systems. (ISCAS2004) Vol.2 , 23-26 May 2004 , pp.173 - 176. (EI)
Yuemin Li, Jie Chen, Laiyun Qing, Baocai Yin, Wen Gao. Face Detection under Variable Lighting Based on Resample by Face Relighting. The IEEE International Conference on Machine Learning and Cybernetics (ICMLC2004) pp.3775-3780. (Oral Presentation) (EI)
Chen Jie, Gao Wen. Construction of Face-Sample Set by Applying Genetic Algorithms. The 4th Chinese Conference on Biometric Recognition, 2003. pp.101-105
Jie Chen, Xilin Chen, Wen Gao, Face resampling based on genetic algorithm. ID:200410029454.8