陈世峰-中国科学院大学-UCAS
[中文]
[English]
研究领域
招生信息
发明专利
发表论文
陈世峰 男 博导 中国科学院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
部分研究简介
计算机视觉与深度学习模型研究：围绕计算机视觉核心应用算法以及深度学习模型的理论分析与研究，包括图像识别、检测、分类、检索、重建等各种视觉信息感知与理解方法，研究对象包括人、物、场景、行为、事件等。机器视觉主要研究方向深度神经网络模型压缩与量化：针对深度神经网络规模大、运算资源依赖强的问题，对神经网络模型结构进行压缩，并对参数进行低比特位量化，从而提升深度神经网络的运行效率以及降低部署资源依赖。联合通道网络剪枝方法及其性能基于误差补偿的神经网络量化方法收敛性与精度对比嵌入式AI：软硬一体AI方案、基于各种嵌入式芯片平台（ARM CPU、MCU、VPU、嵌入式GPU、各类NPU）的AI系统等。嵌入式人脸识别智能门控系统智能交通：交通相关的智能视频分析，包括车牌识别、车辆违停、行人闯入、抛洒物、路障、拥堵、火灾等一系列人车物相关的交通事件检测。（获国际著名智能交通比赛AICity 2021 Track4冠军）交通事件检测与分析工业场景应用：视觉在工业场景中的应用，包括缺陷检测、工件识别、位姿估计、工况理解、动态分拣等。工业环境下的6D位姿估计基于6D位姿分析的动态规划与分拣系统。视觉的医学应用：人工智能和AI技术在医学中的应用，包括CT图像、X射线图像、组织切片图像等分析。腺体组织切片分析基于CT图像的脊柱分割低层视觉（Low Level Vision）：图像增强、去雾、超分辨、去噪、和谐化等。图像去雾图像和谐化
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
发明专利
[1] 基于Retinex理论的对抗神经网络的单图像去雾方法. CN202111558227.4. [2] 混合结构的视频识别方法. CN202111545930.1.[3] 基于对称感知的六自由度物体姿态估计方法及系统. CN202111542551.7.[4] 一种视频标注方法、装置、设备及计算机可读存储介质. PCT/CN2021/137580. [5] 一种6D姿态估计方法. CN202110582277.X.[6] 一种基于图像识别的开关柜状态检测方法及其系统. CN202110606268.X. [7] 一种目标检测方法、装置、终端设备和存储介质. CN202110360031.8.[8] 一种视频标注方法、装置、设备及计算机可读存储介质. CN202110185443.2. [9] 基于混合2D卷积和伪3D卷积的立体匹配方法. PCT/CN2020/139400.[10] 容量瓶容积的校准方法、装置、终端设备及存储介质. PCT/CN2020/129528.[11] 数据处理方法、装置、设备及计算机可读存储介质. CN202010680761.1.[12] 一种视频分类的方法、装置及存储介质. CN202010251105.X.[13] 基于混合2D卷积和伪3D卷积的立体匹配方法. CN202011436492.0.[14] 视频分类方法及相关装置. CN202010203123.0.[15] 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.[16] 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.[17] 容量瓶容积的校准方法、装置、终端设备及存储介质. CN201911128691.2.[18] 深度图像的处理方法及装置. CN2016100419936. [19] 视频切割的方法及装置. CN201610046722X. [20] 基于视频的物体切割方法及装置. CN2016100417112.[21] 用于处理人脸特征数据的方法和装置. CN2014108427429.[22] 一种基于特征融合的图像检索方法. CN2014108057629. [23] 一种图像压缩、解压的方法、装置及图像系统. CN2013107053946.[24] 一种标定模板、模板检测方法、装置及终端. CN2015101401051.[25] 一种图像检索排序的方法及装置. CN2013106905050.[26] 确定数据点的相似度的方法. CN2014108059056.[27] 图像检索方法和装置. CN2012105723718.[28] 图像共显著物体的检测方法. CN2014108431693. [29] 一种图像显著性物体检测方法和装置. CN2013106869302.[30] 数据重排序方法和系统. CN2012105722749. [31] 图像检索的方法和系统. CN2012105727278. [32] 图像超分辨方法及系统. CN201110283921X. [33] 视频处理方法及系统. CN2011102839099.[34] 视频播放中的广告插播方法和设备. CN2013104970888.[35] 一种基于人脸属性的人群分析方法及装置. CN2014108552560.
发表论文
[1] Hanyu Peng, Jiaxiang Wu, Zhiwei Zhang, Shifeng Chen, and Hai-Tao Zhang: “Deep Network Quantization via Error Compensation,” IEEE Trans. on Neural Networks and Learning Systems, 2021.[2] Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, Shifeng Chen: “Good Practices and a Strong Baseline for Traffic Anomaly Detection,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 3993-4001, 2021.[3] Chunbi Jiang, Dongxiao Zhang, and Shifeng Chen: “Lithology identification from well log curves via neural networks with additional geological constraint,” Geophysics, 86 (5), pages: IM85–IM100, 202.[4] Ming Zhang, Xuefei Zhe, Shifeng Chen, Hong Yan: “Deep center-based dual-constrained hashing for discriminative face image retrieval,” Pattern Recognition, 117: 107976, 2021.[5] Hao Xu, Yongjin Hou, Jia-Wei Luo, Tianyu Wu, Yue Wu, Shifeng Chen, Xianglei Li, and Hai-Tao Zhang: “Cooperative Manipulation in Unknown Environment with Distributed Control,” Proceeding in Chinese Control Conference, 2021.[6] Ming Zhang, Xuefei Zhe, Le Ou-Yang, Shifeng Chen, and Hong Yan: “Semantic Hierarchy Preserving Deep Hashing for Large-Scale Image Retrieval,” Proceeding in International Conference on Machine Vision and Applications (MVA), 2021. [7] Zhiyue Wang, Wei Zhou, Junlin Li, Zhiyong Chen, Shifeng Chen, and Hai-Tao Zhang: “A Reweighted ℓ1-Minimization Algorithm for Joint Topology and Line Parameter Identification in Electric Grid”, Proceeding in Chinese Control Conference, 2021.[8] Hongren Wang and Shifeng Chen: “Research on Two-stage Object Detection Method Based on Key Point Detection,” Journal of Integration Technology, 10(5):34-42, 2021. [9] Gui-Ping Ren, Ziheng Yu, Yue Wu, Shifeng Chen, Xianglei Li, and Hai-Tao Zhang: “The analysis of similarities and differences between ADRC and PID controller for AMB system,” Proceeding in Chinese Control Conference, 2021.[10] Jiayu Xu, Shifeng Chen, Like Zhang, Junle Wang, Chong Zhang, Yanqing Jing, Zhenhuan Wang, Xinqi Zhu: “Lineup Mining and Balance Analysis of Auto Battler,” Proceedings of the 2020 International Conference on Aviation Safety and Information Technology (ICASIT), Pages 169–176, 2020. [11] Zhiwei Zhang, Shifeng Chen, Lei Sun: “P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection,” IJCAI, pp. 3237-3243, 2020.[12] Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Yi Yang, Shilei Wen: “Dynamic Inference: A New Approach Toward Efficient Video Action Recognition,” CVPR workshop, pp. 2890-2898, 2020.[13] 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. [14] Huijun Ding, Zhanpeng Pan, Qian Cen, Yang Li, Shifeng Chen: “Multi-scale fully convolutional network for gland segmentation using three-class classification,” Neurocomputing, 380: 150-161, 2020[15] 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), pp. 10729-10736, 2020.[16] Weizhong Jiang, Haiming Yu, and Shifeng Chen: “Person Re-identification Method Based on Correlation Between Features,” Journal of Integration Technology, 9(4):68-78, 2020.[17] Xuefei Zhe, Shifeng Chen, Hong Yan: “Directional statistics-based deep metric learning for image classification and retrieval,” Pattern Recognition, 93: 113-123, 2019. [18] Hanyu Peng, Shifeng Chen: “BDNN: Binary convolution neural networks for fast object detection,” Pattern Recognition Letters, 125: 91-97, 2019. [19] 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. [20] Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang: “Collaborative Channel Pruning for Deep Networks,” In Proc. Int'l Conf. Machine Learning (ICML), pp. 5113-5122, 2019. [21] 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), pp. 6221-6230, 2019. [22] Sunping Wang and Shifeng Chen: “Depth-Aware Convolutional Neural Networks for Semantic Segmentation,” Journal of Integration Technology, 7(5):58-66, 2018. [23] Zhexiao Guo, Minmin Shen, Le Duan, Yongjin Zhou, Jianghuai Xiang, Huijun Ding, Shifeng Chen, Oliver Deussen, Guo Dan: “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): 135-138, 2017.[24] Hao Lv and Shifeng Chen: “Strong Edge-Aware Depth Image Completion with Multi-Direction Filtering,” Journal of Integration Technology, 5(6):36-45, 2016.[25] Changqing Zou, Shifeng Chen, Hongbo Fu, Jianzhuang Liu: “Progressive 3D reconstruction of planar-faced manifold objects with DRF-based line drawing decomposition,” IEEE Transactions on Visualization and Computer Graphics, 21(2): 252-263, 2015.[26] Shuze Du, Shifeng Chen: “Detecting Co-Salient Objects in Large Image Sets,” IEEE Signal Processing Letters (SPL), 22(2): 145-148, 2015.[27] Changqing Zou, Xiaojiang Peng, Hao Lv, Shifeng Chen, Hongbo Fu, Jianzhuang Liu: “Sketch-based 3-D modeling for piecewise planar objects in single images,” Computer and Graphics, 46: 130–137, 2015.[28] Shuze Du, Shifeng Chen, “Salient Object Detection via Random Forest,” IEEE Signal Processing Letters (SPL), Volume 21, Issue 1, Pages 51-54, 2014.[29] Shifeng Chen, Qiang Zhou, Huijun Ding: “Learning Boundary and Appearance for Video Object Cutout,” IEEE Signal Processing Letters (SPL), Volume 21, Issue 1, Pages 101-104, 2014.[30] Shuze Du, Wei Zhang, Shifeng Chen, Yafei Wen: “Learning Flexible Binary Code for Linear Projection Based Hashing with Random Forest,” Proc. Int'l Conf. Pattern Recognition (ICPR), pp. 2685-2690, 2014.[31] Yafei Wen, Changqing Zou, Jianzhuang Liu, Shuze Du, Shifeng Chen: “Sketch-Based 3D Model Retrieval via Multi-feature Fusion,” Proc. Int'l Conf. Pattern Recognition (ICPR), pp. 4570-4575, 2014.[32] Chao Dong, Shifeng Chen, Xiaoou Tang: “AdVisual: A Visual-based Advertising System,” Proc. ACM Multimedia (ACM-MM Demo), pp. 433-434, 2013.[33] Xianbiao Qi, Yi Lu, Shifeng Chen, Chun-Guang Li, Jun Guo: “Spatial Co-occurrence of Local Intensity Order for Face Recognition,” ICME MIS-MEDIA Workshop, pp. 1-6, 2013.[34] Wei Zhang, Chen Cao, Shifeng Chen, Jiangzhuang Liu, and Xiaoou Tang: “Style Transfer via Image Component Analysis,” IEEE Trans. on Multimedia (TMM), Volume 15, Issue 7, Pages 1594-1601, 2013. [35] Shifeng Chen, Ming Liu, Wei Zhang, Jianzhuang Liu: “Edge Preserving Image Denoising with a Closed Form Solution,” Pattern Recognition (PR), Volume 46, Issue 3, Pages 976–988, March 2013. [36] Chen Cao, Shifeng Chen, Yuhong Li, Jianzhuang Liu: “Online Non-feedback Image Re-ranking via Dominant Data Selection,” Proc. ACM Multimedia (ACM-MM), pp. 889-892, 2012. [37] Chen Cao, Shifeng Chen, Changqing Zou, Jianzhuang Liu: “Locating High-density Clusters with Noisy Queries,” Proc. Int'l Conf. Pattern Recognition (ICPR), pp. 3537-3540, 2012.[38] Qian Li, Shifeng Chen, Beiwei Zhang: “Predictive Video Saliency Detection,” Proc. Chinese Conference on Pattern Recognition (CCPR), pp. 178-185, 2012.[39] Qiang Zhou, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang: “Edge-Preserving Single Image Super-Resolution,” ACM Multimedia (ACM-MM), pp. 1037-1040, 2011.[40] Chen Cao, Shifeng Chen, Wei Zhang, Xiaoou Tang: “Automatic Motion-Guided Video Stylization and Personalization,” ACM Multimedia (ACM-MM), pp. 1041-1044, 2011.[41] Shifeng Chen, Yu Qiao, “Image Segmentation via Multi-Scaled Belief Propagation,” ICIA, 2011.[42] Wei Zhang, Yu Qiao, Chunjing Xu, and Shifeng Chen, “Robust Non-Rigid 3D Tracking for Face Recognition in Real-world Videos,” ICIA, 2011. [43] 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)[44] S. Chen, “Labeling Problems with Smoothness-Based Priors in Computer Vision,” LAP Lambert Academic Publishing, 2010. (专著)[45] Shifeng Chen, Liangliang Cao, Yueming Wang, Jianzhuang Liu, Xiaoou Tang: “Image Segmentation by MAP-ML Estimations,” IEEE Trans. on Image Processing (TIP), vol. 19, no. 9, pp. 2254-2264, 2010. [46] Jiayao Hu, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang: “Fast Image Rearrangement via Multi-Scale Patch Copying,” Proc. ACM Multimedia (ACM-MM), pp. 691-694, 2010.[47] Ming Liu, Shifeng Chen, Jianzhuang Liu: “Continuous MRF Based Image Denoising with a Closed Form Solution,” Proc. IEEE Int’l Conf. Image Processing (ICIP), pp. 1137-1140, 2010.[48] Ming Liu, Shifeng Chen, Jianzhuang Liu: “Video Completion via Motion Guided Spatial-Temporal Global Optimization,” ACM Multimedia (ACM-MM), pp. 537-540, 2009[49] Shifeng Chen, Yuandong Tian, Fang Wen, Ying-Qing Xu, Xiaoou Tang: “EasyToon: an Easy and Quick Tool to Personalize a Cartoon Storyboard Using Family Photo Album,” ACM Multimedia (ACM-MM), pp. 499-508, 2008.[50] Fang Wen, Shifeng Chen, Xiaoou Tang: “Easytoon: Cartoon Personalization Using Face Photos,” ACM Multimedia (ACM-MM Demo), pp. 1021-1022, 2008.[51] Ming Liu, Shifeng Chen, Jianzhuang Liu: “Precise Object Cutout from Images,” ACM Multimedia (ACM-MM), pp. 623-626, 2008.[52] Shifeng Chen, Liangliang Cao, Jianzhuang Liu, Xiaoou Tang: “Iterative MAP and ML Estimations for Image Segmentation,” IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2007.[53] Shifeng Chen, Zhenguo Li, Jianzhuang Liu, Xiaoou Tang: “Image Matting Using Linear Optimization,” ACM Multimedia (ACM-MM), pp. 321-324, 2007.[54] Huang Ting, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang: “Image Inpainting by Global Structure and Texture Propagation,” ACM Multimedia (ACM-MM), pp. 517-520, 2007.[55] Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou Tang: “Noise Robust Spectral Clustering,” IEEE Int. Conf. Computer Vision (ICCV), pp. 1-8, 2007.[56] Shifeng Chen, Liangliang Cao, Jianzhuang Liu, Xiaoou Tang: “Automatic Segmentation of Lung Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm,” Proc. Int. Conf. Pattern Recognition (ICPR), pp. 271-274, 2006.[57] 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.
2013 中国科学院大学，网络信息中心.