研究领域
招生信息
教育背景
发明专利
论文
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
一种视频分类的方法、装置及存储介质，CN5.X
视频分类方法及相关装置，CN3.0
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，CN6.6
容量瓶容积的校准方法、装置、终端设备及存储介质，CN1.2
医学图像识别方法、医学图像识别装置、终端设备及介质，CN0.7
视频切割的方法及装置，CN2.X
深度图像的处理方法及装置，CN3.6
基于视频的物体切割方法及装置，CN1.2
一种基于人脸属性的人群分析方法及装置，CN6.0
图像共显著物体的检测方法，CN9.3
一种基于特征融合的图像检索方法，CN2.9
确定数据点的相似度的方法，CN5.6
一种图像压缩、解压的方法、装置及图像系统，CN4.6
一种图像检索排序的方法及装置，CN5.0
一种图像显著性物体检测方法和装置，CN0.2
数据重排序方法和系统，CN4.9
图像检索方法和装置，CN1.8
图像检索的方法和系统，CN7.8
视频处理方法及系统，CN9.9
图像超分辨方法及系统，CN1.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] 吕 浩, 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.
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