陈世峰 男 深圳先进技术研究院
电子邮件:shifeng.chen@siat.ac.cn
通信地址:深圳市南山区西丽深圳大学城学苑大道1068号
邮政编码:518055

研究领域

计算机视觉,嵌入式人工智能

招生信息

人工智能,计算机视觉,图像视频处理,模式识别,机器学习

教育背景

2005-08--2008-09 香港中文大学 博士
2003-01--2005-02 香港城市大学 硕士
1998-09--2002-06 中国科学技术大学 学士

发明专利

  1. 一种视频分类的方法、装置及存储介质,CN202010251105.X
  2. 视频分类方法及相关装置,CN202010203123.0
  3. 基于生成对抗网络GAN的图像处理方法、装置以及电子设备、存储介质,CN201911287816.6
  4. 容量瓶容积的校准方法、装置、终端设备及存储介质,CN201911128691.2
  5. 医学图像识别方法、医学图像识别装置、终端设备及介质,CN201910790660.7
  6. 视频切割的方法及装置,CN201610046722.X
  7. 深度图像的处理方法及装置,CN201610041993.6
  8. 基于视频的物体切割方法及装置,CN201610041711.2
  9. 一种基于人脸属性的人群分析方法及装置,CN201410855256.0
  10. 图像共显著物体的检测方法,CN201410843169.3
  11. 一种基于特征融合的图像检索方法,CN201410805762.9
  12. 确定数据点的相似度的方法,CN201410805905.6
  13. 一种图像压缩、解压的方法、装置及图像系统,CN201310705394.6
  14. 一种图像检索排序的方法及装置,CN201310690505.0
  15. 一种图像显著性物体检测方法和装置,CN201310686930.2
  16. 数据重排序方法和系统,CN201210572274.9
  17. 图像检索方法和装置,CN201210572371.8
  18. 图像检索的方法和系统,CN201210572727.8
  19. 视频处理方法及系统,CN201110283909.9
  20. 图像超分辨方法及系统,CN201110283921.X


论文

[1]    Zhiwei Zhang, Shifeng Chen*, Lei Sun: P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection, IJCAI 2020.

[2]    Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen*, Yi Yang, Shilei Wen: Dynamic Inference: A New Approach Toward Efficient Video Action Recognition   , CVPR workshop, 2020.

[3]    Xufei Zhe, Shifeng Chen, Hong Yan: Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss. IEEE Transactions on Neural Networks and Learning Systems 31(5): 1681 - 1695, 2020.

[4]    Xuefei Zhe, Shifeng Chen, Hong Yan: Directional statistics-based deep metric learning for image classification and retrieval. Pattern Recognition 93: 113-123 (2019).

[5]    Hanyu Peng, Shifeng Chen*: BDNN: Binary convolution neural networks for fast object detection. Pattern Recognition Letters 125: 91-97 (2019).

[6]    Hanyu Peng, Junjun He, Shifeng Chen*, Yali Wang, Yu Qiao. Dual-supervised attention network for deep cross-modal hashing. Pattern Recognition Letters 128: 333-339 (2019).

[7]    Huijun Ding, Zhanpeng Pan, Qian Cen, Yang Li, Shifeng Chen*. Multi-scale fully convolutional network for gland segmentation using three-class classification. Neurocomputing, online 5 November 2019

[8]    Hanyu Peng, Jiaxiang Wu, Shifeng Chen*, Junzhou Huang: Collaborative Channel Pruning for Deep Networks. In Proc. Int'l Conf. Machine Learning (ICML) 2019: 5113-5122.

[9]    Yu Dong, Yihao Liu, He Zhang, Shifeng Chen*, Yu Qiao. FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing. In Proc. AAAI Conference on Artificial Intelligence (AAAI), 2019.

[10] Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen*, Shilei Wen. Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition. In Proc. Int'l Conf. Computer Vision (ICCV), 2019.

[11] 王孙平, 陈世峰*. 融合深度图像的卷积神经网络语义分割方法. 集成技术. 2018, 7(5):58-66.

[12] Guo, Zhexiao and Shen, Minmin and Duan, Le and Zhou, Yongjin and Xiang, Jianghuai and Ding, Huijun and Chen, Shifeng and Deussen, Oliver and Dan, Guo. Deep assessment process: Objective assessment process for unilateral peripheral facial paralysis via deep convolutional neural network. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017): 135—138

[13] , 陈世峰*. 基于多方向滤波的强边缘深度图像补全方法. 集成技术. 2016,5(6):36-45

[14] C. Zou, S. Chen, H. Fu, and J. Li. Progressive 3D reconstruction of planar-faced manifold objects with DRF-based line drawing decomposition. IEEE Transactions on Visualization and Computer Graphics, VOL. 21, NO. 2, FEBRUARY 2015

[15] S. Du and S. Chen*. Detecting Co-Salient Objects in Large Image Sets. IEEE Signal Processing Letters (SPL), 2015, 22(2): 145-148.

[16] C. Zou, X. Peng, H. Lv, S. Chen, H. Fu, and J. Liu. Sketch-based 3-D modeling for piecewise planar objects in single images. Computer and Graphics, 2015, 46: 130–137.

[17] S. Du, S. Chen*, "Salient Object Detection via Random Forest," IEEE Signal Processing Letters (SPL), Volume 21, Issue 1, Pages 51-54, 2014.

[18] S. Chen, Q. Zhou, H. Ding, "Learning Boundary and Appearance for Video Object Cutout," IEEE Signal Processing Letters (SPL), Volume 21, Issue 1, Pages 101-104, 2014.

[19] S. Du, W. Zhang, S. Chen*, and Y. Wen, "Learning Flexible Binary Code for Linear Projection Based Hashing with Random Forest," Proc. Int'l Conf. Pattern Recognition (ICPR), 2014.

[20] Y Wen, C Zou, J Liu, S Du, and S Chen. Sketch-Based 3D Model Retrieval via Multi-feature Fusion. Proc. Int'l Conf. Pattern Recognition (ICPR), 4570-4575, 2014.

[21] C. Dong, S. Chen*, and X. Tang, “AdVisual: A Visual-based Advertising System,” Proc. ACM Multimedia (ACM-MM Demo), 2013.

[22] Y. Lu, X. Qi, and S. Chen, “Spatial Co-occurrence of Local Intensity Order for Face Recognition,” ICME 2013 MIS-MEDIA Workshop.

[23] W. Zhang, C. Cao, S. Chen*, J. Liu, and X. Tang, "Style Transfer via Image Component Analysis," IEEE Trans. on Multimedia (TMM), Volume 15, Issue 7, Pages 1594-1601, 2013.

[24] S. Chen, M. Liu, W. Zhang, and J. Liu, “Edge Preserving Image Denoising with a Closed Form Solution,” Pattern Recognition (PR), Volume 46, Issue 3, Pages 976–988, March 2013.

[25] C. Cao, S. Chen*, Y. Li, and J. Liu, “Online Non-feedback Image Re-ranking via Dominant Data Selection,” Proc. ACM Multimedia (ACM-MM), 2012.

[26] C. Cao, S. Chen*, C. Zou, and J. Liu, “Locating High-density Clusters with Noisy Queries,” Proc. Int'l Conf. Pattern Recognition (ICPR), 2012.

[27] Q. Li, S. Chen*, and B. Zhang, “Predictive Video Saliency Detection,” Proc. Chinese Conference on Pattern Recognition (CCPR), 2012.

[28] Q. Zhou, S. Chen*, J. Liu, and X. Tang, “Edge-Preserving Single Image Super-Resolution,” ACM Multimedia (ACM-MM), 2011.

[29] C. Cao, S. Chen*, W. Zhang, and X. Tang, “Automatic Motion-Guided Video Stylization and Personalization,” ACM Multimedia (ACM-MM), 2011.

[30] S. Chen, Y. Qiao, “Image Segmentation via Multi-Scaled Belief Propagation,” ICIA, 2011.

[31] W. Zhang, Y. Qiao, C. Xu, and S. Chen, “Robust Non-Rigid 3D Tracking for Face Recognition in Real-world Videos,” ICIA, 2011.

[32] S. Chen, “Labeling Problems with Smoothness-Based Priors in Computer Vision,” LAP Lambert Academic Publishing, 2010. (专著)

[33] X. Wang and S. Chen, “Semantic Object Segmentation,” in the book of “Image/Video Segmentation,” edited by King N. Ngan and Hongliang Li, published by Springer, 2011. (专著章节)

[34] S. Chen, L. Cao, Y. Wang, J. Liu, and X. Tang, “Image Segmentation by MAP-ML Estimations,” IEEE Trans. on Image Processing (TIP), vol. 19, no. 9, pp. 2254-2264, 2010.

[35] J. Hu, S. Chen*, J. Liu, and X. Tang, “Fast Image Rearrangement via Multi-Scale Patch Copying,” Proc. ACM Multimedia (ACM-MM), 2010.

[36] M. Liu, S. Chen*, and J. Liu, “Continuous MRF Based Image Denoising with a Closed Form Solution,” Proc. IEEE Int’l Conf. Image Processing (ICIP), 2010.

[37] M. Liu, S. Chen*, J. Liu, and X. Tang, “Video Completion via Motion Guided Spatial-Temporal Global Optimization,” ACM Multimedia (ACM-MM), 2009

[38] S. Chen, Y. Tian, F. Wen, Y.Q. Xu, and X. Tang, “EasyToon: an Easy and Quick Tool to Personalize a Cartoon Storyboard Using Family Photo Album,” ACM Multimedia (ACM-MM), 2008.

[39] F. Wen, S. Chen*, and X. Tang, “Easytoon: Cartoon Personalization Using Face Photos,” ACM Multimedia (ACM-MM Demo), 2008.

[40] M. Liu, S. Chen*, and J. Liu, “Precise Object Cutout from Images,” ACM Multimedia (ACM-MM), 2008.

[41] S. Chen, L. Cao, J. Liu, and X. Tang, “Iterative MAP and ML Estimations for Image Segmentation,” IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2007.

[42] S. Chen, Z. Li, J. Liu, and X. Tang, “Image Matting Using Linear Optimization,” ACM Multimedia (ACM-MM), 2007.

[43] T. Huang, S. Chen*, J. Liu, and X. Tang, “Image Inpainting by Global Structure and Texture Propagation,” ACM Multimedia (ACM-MM), 2007.

[44] Z. Li, J. Liu, S. Chen, and X. Tang, “Noise Robust Spectral Clustering,” IEEE Int. Conf. Computer Vision (ICCV), 2007.

[45] S. Chen, L. Cao, J. Liu, and X. Tang, “Automatic Segmentation of Lung Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm,” Proc. Int. Conf. Pattern Recognition (ICPR), 2006.

[46] S-Y Yuen, H-S Lam, C-K Fong, S Chen, C-K Chow, “A Robust Iterative Hypothesis Testing Design of the Repeated Genetic Algorithm,” Image and Vision Computing, Vol. 23, pp. 972–980, 2005.