陈世峰  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

人工智能，计算机视觉，图像视频处理，模式识别，机器学习。常年招收客座学生！

部分研究简介

  • 基于扩散模型的图像生成与编辑：基于扩散模型，构建不同图像编辑算法，并致力于构建通用图像编辑框架。

 

  • 基于物理引擎的文生视频：根据使用者对一些基本物理运动场景的prompt，生成符合物理特性的视频。

 


  • 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


  • 物体检测与识别：人、车辆、以及各类物体的检测及识别


  • 目标跟踪检索：目标跟踪、检索、ReID等


  • 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。（获国际智能交通比赛AICity 2021 异常检测赛道冠军）

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。


  • 表计识别：电力等行业各类表计的识别，包括表盘类、数字类、开关类、状态类等表


  • 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、各类AI ISP算法等。

图像去雾


图像和谐化


发表论文

  1. Jiyu Wu, Yifan Liu, Jiancheng Huang, Yi Huang, Mingfu Yan, and Shifeng Chen*: “Leveraging Contrast Priors for Mask-Free Shadow Removal,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) workshop LoViF, 2026
  2. Linxiao Shi, Siming Zheng, Zerong Wang, Hao Zhang, Jinwei Chen, Bo Li, Shifeng Chen*, and Peng-Tao Jiang: “Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. Oral
  3. Chuanming Tang, Xiao Wang, Ju Huang, Bo Jiang, Lin Zhu, Shifeng Chen, Jianlin Zhang, Yaowei Wang, Yonghong Tian: “Revisiting color-event based tracking: A unified network, dataset, and metric,” Pattern Recognition (PR), Vol. 172, Part D, April 2026.
  4. Yuqi Peng, Lingtao Zheng, Yufeng Yang, Yi Huang, Mingfu Yan, Jianzhuang Liu, and Shifeng Chen*: “TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models,” The Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.
  5. Mingfu Yan, Jiancheng Huang, Yifan Liu, and Shifeng Chen*: “FTAP-Net: Fourier Transform Amplitude Prior for Low-Light Image Enhancement,” IEEE International Conference on Multimedia and Expo (ICME), 2026.
  6. Jiyu Wu, Yifan Liu, Jiancheng Huang, and Shifeng Chen*: “Learning to Decrypt: A Cipher-guided Dynamic Expert Framework for Document Deblurring,” 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026.
  7. Yulin Li, Shifeng Chen*, and Xu Zhou: “Attribute-aware Prompt Learning for Cloth-Changing Person Re-Identification,” 18th International Conference on Digital Image Processing (ICDIP), 2026.
  8. Yi Huang, Wei Xiong, He Zhang, Chaoqi Chen, Jianzhuang Liu, Mingfu Yan, and Shifeng Chen*: “ DIVE: Taming DINO for Subject-Driven Video Editing,” International Conference on Computer Vision (ICCV), 2025.
  9. Yuqi Peng, Pengfei Wang, Jianzhuang Liu, and Shifeng Chen*: “GLAD: Generalizable Tuning for Vision-Language Models,” International Conference on Computer Vision (ICCV) Workshop MMFM4, 2025.
  10. Yiyu Zhuang, Jiaxi Lv, Hao Wen, Qing Shuai, Ailing Zeng, Hao Zhu, Shifeng Chen*, Yujiu Yang, Xun Cao, and Wei Liu: “IDOL: Instant Photorealistic 3D Human Creation from a Single Image,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  11. Yi Huang, Jiancheng Huang, Yifan Liu, Mingfu Yan, Jiaxi Lv, Jianzhuang Liu, Wei Xiong, He Zhang, Liangliang Cao, and Shifeng Chen*: “Diffusion Model-Based Image Editing: A Survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 47, Issue 6, pp. 4409-4437, 2025.
  12. Yifan Liu, Jiancheng Huang, Na Liu, Jiyu Wu, Mingfu Yan, Yi Huang, and Shifeng Chen*: “Efficient Document Shadow Removal with Contrast-Aware Guidance,” Computer Graphics International Conference (CGI), 2025.
  13. Mingfu Yan, Jiancheng Huang, Yifan Liu and Shifeng Chen*: “Component Adaptive Clustering for Generalized Category Discovery,” IEEE International Conference on Multimedia and Expo (ICME), 2025.
  14. Mingfu Yan, Jiancheng Huang, and Shifeng Chen*: “Seal2Real: Prompt Prior Learning on Diffusion Model for Unsupervised Document Seal Data Generation and Realisation,” Journal of Imaging Science and Technology (JIST), Vol.69 Issue 5, pp. 1-11, 2025.
  15. Jiancheng Huang, Yi Huang, Jianzhuang Liu, Donghao Zhou, Yifan Liu, and Shifeng Chen*: “Dual-Schedule Inversion: Training- and Tuning-Free Inversion for Real Image Editing,” Proceedings of the Winter Conference on Applications of Computer Vision (WACV), pp. 660-669, 2025.
  16. Meng Meng, Shifeng Zhang, Xiaofan Chen, Shifeng Chen*, and Xu Zhou: “Enhancing Image-Text Retrieval with Phrase-aware and Modality Difference-aware Embedding,” International Joint Conference on Neural Networks (IJCNN), 2025.
  17. Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, and Dongmei Zhang: “WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct,” The Thirteenth International Conference on Learning Representations (ICLR), 2025.
  18. Yi Huang, Yu Dong, Jiancheng Huang, Mingfu Yan, and Shifeng Chen*: “DCD-Net: Weakly Supervised Decomposition Learning for Real-World Image Dehazing,” Signal Processing, vol. 230(C), 2025.
  19. Shaokui Xiong, and Shifeng Chen*: “Multi-disease Recognition Method for Fundus Images Based on Text Enhancement,” Journal of Integration Technology, 14(1), PP. 78-90, 2025.
  20. Linxiao Shi, Shifeng Chen*: “Bokeh Rendering via Diffusion Models without Depth Priors,” IEEE International Conference on Machine Learning, Computational Intelligence and Pattern Recognition (MLCIPR), 2025: 117-120. DOI:10.1109/MLCIPR68329.2025.11407332.
  21. Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jian-Guang Lou, Shifeng Chen, Yansong Tang, and Weizhu Chen: “WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena,” Advances in Neural Information Processing Systems (NuerIPS) 2024.
  22. Jiancheng Huang, Jianzhuang Liu, Linxiao Shi, and Shifeng Chen*: “IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images,” IEEE Transactions on Information Forensics & Security, vol. 19, pp. 9270 - 9284, 2024.
  23. Yifan Liu, Mingfu Yan, Hua He, Jiancheng Huang and Shifeng Chen*, “MambaDW: Semantic-Aware Mamba for Document Watermark Removal”, Computer Graphics International Conference (CGI), 2024.
  24. Jiancheng Huang, Mingfu Yan, Songyan Chen, Yi Huang, and Shifeng Chen*: “MagicFight: Personalized Martial Arts Combat Video Generation,” ACM Multimedia (ACM MM), pp. 10833 - 10842, 2024.
  25. Jiaxi Lv, Yi Huang, Mingfu Yan, Jiancheng Huang, Jianzhuang Liu, Yifan Liu, Yafei Wen, Xiaoxin Chen, and Shifeng Chen*: “GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via
  26. Blender-Oriented GPT Planning,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1430-1440, 2024. Best paper runner up.
  27. Jiancheng Huang, Mingfu Yan, Yifan Liu, Shifeng Chen*: “SBCR: Stochasticity Beats Content Restriction Problem in Training and Tuning Free Image Editing,” ICMR, 2024.
  28. Yong Zhang, Rui Zhu, Shifeng Zhang, Xu Zhou, Shifeng Chen*, Xiaofan Chen：“Feature Augmentation for Self-Supervised Contrastive Learning: A Closer Look,” The International Joint Conference on Neural Networks (IJCNN), 2024.
  29. Jiancheng Huang, Mingfu Yan, Yifan Liu, Shifeng Chen*: “Color-SD: Stable Diffusion Model already has a Color Style Noisy Latent Space,” ICME, 2024.
  30. Yi Huang, Jiancheng Huang, Jianzhuang Liu, Yu Dong, Jiaxi Lv, and Shifeng Chen*: “WaveDM: Wavelet-Based Diffusion Models for Image Restoration,” IEEE Transactions on Multimedia. Accepted.
  31. Jiancheng Huang, Yifan Liu, Lingxiao Shi, Jin Qin, Shifeng Chen*: “BK-Editer: Body-Keeping Text-Conditioned Real Image Editing,” The 12th International Conference on Computational Visual Media (CVM), April 2024.
  32. Jiancheng Huang, Yifan Liu, Jiaxi Lv, Shifeng Chen*: “Entwined Inversion: Tune-Free Inversion for Real Image Faithful Reconstruction and Editing,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2024.
  33. Jiancheng Huang, Yifan Liu, Jin Qin, Shifeng Chen*: “KV Inversion: KV Embeddings Learning for Text-Conditioned Real Image Action Editing,” The 6th Conference on Pattern Recognition and Computer Vision (PRCV), pp. 172-184, October 2023.
  34. Yifan Liu, Jiancheng Huang, Shifeng Chen*: “DeSeal: Semantic-Aware Seal2Clear Attention for Document Seal Removal,” IEEE Signal Processing Letters, vol. 30, pp. 1702-1706, 2023.
  35. Jiancheng Huang, Yifan Liu, Shifeng Chen*: “Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement,” Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp. 67-80, November 2023.
  36. Yu Dong, Zhiwei Zhang, Hanyu Peng, Shifeng Chen*: “New Perspective on Progressive GANs Distillation for One-class Anomaly Detection,” Journal of Imaging Science and Technology, pp. 1-11, 2023. 
  37. Wanshui Gan, Hongbin Xu, Yi Huang, Shifeng Chen, Naoto Yokoya: “V4D: Voxel for 4D novel view synthesis,” IEEE Transactions on Visualization and Computer Graphics, 30(2), pp. 1579-1591, February 2024.
  38. Yi Huang, Yu Dong, He Zhang, Jiancheng Huang, and Shifeng Chen*: “Learning Image-Adaptive Lookup Tables With Spatial Awareness for Image Harmonization,” IEEE Transactions on Consumer Electronics, September 2023. Early access.
  39. Wanshui Gan, Wenhao Wu, Shifeng Chen, Yuxiang Zhao, Pak Kin Wong: “Rethinking 3D cost aggregation in stereo matching,” Pattern Recognition Letters, vol 167, pp. 75-81, March 2023.
  40. Yu Dong, Yunan Li, Qian Dong, He Zhang, Shifeng Chen*: “Semi-Supervised Domain Alignment Learning for Single Image Dehazing,” IEEE Transactions on Cybernetics, 53(11), pp. 7238-7250, November 2023.
  41. Chunbi Jiang, Dongxiao Zhang, and Shifeng Chen: “Handling missing data in well-log curves with a gated graph neural network,” Geophysics, 88(1), Pages: D13-D30, January 2023.
  42. Bopeng Fang, Shifeng Chen*, and Zhurong Dong: “Density Distillation for Fast Nonparametric Density Estimation,” IEEE Trans. on Neural Networks and Learning Systems, 34(11), pp. 9424-9438, November 2023.
  43. Ningkai Mo, Wanshui Gan, Naoto Yokoya, and Shifeng Chen*: “ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
  44. 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, 33(9): 4960-4970, September 2022.
  45. Chen Zhang, BoZhong Liu, Shifeng Chen*: “ARefine: Efficiently Storing Surveillance Videos via Accuracy-aware Refining Mechanism,” International Conference on Intelligent Design (ICID), October 2022.
  46. 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, June 2021.
  47. Chunbi Jiang, Dongxiao Zhang, and Shifeng Chen: “Lithology identification from well-log curves via neural networks with additional geologic constraint,” Geophysics, 86 (5), pages: IM85–IM100, 2021.
  48. Ming Zhang, Xuefei Zhe, Shifeng Chen, Hong Yan: “Deep center-based dual-constrained hashing for discriminative face image retrieval,” Pattern Recognition, 117: 107976, September 2021.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. Jiayu Xu, Shifeng Chen*, Like Zhang, Junle Wang: “Lineup Mining and Balance Analysis of Auto Battler,” 2020 IEEE 6th International Conference on Computer and Communications (ICCC), Pages 2300-2307, 2020.
  56. Zhiwei Zhang, Shifeng Chen*, Lei Sun: “P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection,” IJCAI, pp. 3237-3243, 2020.
  57. 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.
  58. Xuefei 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.
  59. 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
  60. 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.
  61. 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.
  62. Xuefei Zhe, Shifeng Chen, Hong Yan: “Directional statistics-based deep metric learning for image classification and retrieval,” Pattern Recognition, 93: 113-123, 2019.
  63. Hanyu Peng, Shifeng Chen: “BDNN: Binary convolution neural networks for fast object detection,” Pattern Recognition Letters, 125: 91-97, 2019.
  64. 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.
  65. 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.
  66. 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.
  67. Sunping Wang and Shifeng Chen: “Depth-Aware Convolutional Neural Networks for Semantic Segmentation,” Journal of Integration Technology, 7(5):58-66, 2018.
  68. 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.
  69. Hao Lv and Shifeng Chen: “Strong Edge-Aware Depth Image Completion with Multi-Direction Filtering,” Journal of Integration Technology, 5(6):36-45, 2016.
  70. 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.
  71. Shuze Du, Shifeng Chen: “Detecting Co-Salient Objects in Large Image Sets,” IEEE Signal Processing Letters (SPL), 22(2): 145-148, 2015.
  72. 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.
  73. Shuze Du, Shifeng Chen, “Salient Object Detection via Random Forest,” IEEE Signal Processing Letters (SPL), Volume 21, Issue 1, Pages 51-54, 2014.
  74. 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.
  75. 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.
  76. 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.
  77. Chao Dong, Shifeng Chen, Xiaoou Tang: “AdVisual: A Visual-based Advertising System,” Proc. ACM Multimedia (ACM-MM Demo), pp. 433-434, 2013.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. 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.
  83. Qian Li, Shifeng Chen, Beiwei Zhang: “Predictive Video Saliency Detection,” Proc. Chinese Conference on Pattern Recognition (CCPR), pp. 178-185, 2012.
  84. Qiang Zhou, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang: “Edge-Preserving Single Image Super-Resolution,” ACM Multimedia (ACM-MM), pp. 1037-1040, 2011.
  85. Chen Cao, Shifeng Chen, Wei Zhang, Xiaoou Tang: “Automatic Motion-Guided Video Stylization and Personalization,” ACM Multimedia (ACM-MM), pp. 1041-1044, 2011.
  86. Shifeng Chen, Yu Qiao, “Image Segmentation via Multi-Scaled Belief Propagation,” ICIA, 2011.
  87. Wei Zhang, Yu Qiao, Chunjing Xu, and Shifeng Chen, “Robust Non-Rigid 3D Tracking for Face Recognition in Real-world Videos,” ICIA, 2011.
  88. 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)
  89. Shifeng Chen, “Labeling Problems with Smoothness-Based Priors in Computer Vision,” LAP Lambert Academic Publishing, 2010. (专著)
  90. 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.
  91. 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.
  92. 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.
  93. Ming Liu, Shifeng Chen, Jianzhuang Liu: “Video Completion via Motion Guided Spatial-Temporal Global Optimization,” ACM Multimedia (ACM-MM), pp. 537-540, 2009
  94. 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.
  95. Fang Wen, Shifeng Chen, Xiaoou Tang: “Easytoon: Cartoon Personalization Using Face Photos,” ACM Multimedia (ACM-MM Demo), pp. 1021-1022, 2008.
  96. Ming Liu, Shifeng Chen, Jianzhuang Liu: “Precise Object Cutout from Images,” ACM Multimedia (ACM-MM), pp. 623-626, 2008.
  97. 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.
  98. Shifeng Chen, Zhenguo Li, Jianzhuang Liu, Xiaoou Tang: “Image Matting Using Linear Optimization,” ACM Multimedia (ACM-MM), pp. 321-324, 2007.
  99. Huang Ting, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang: “Image Inpainting by Global Structure and Texture Propagation,” ACM Multimedia (ACM-MM), pp. 517-520, 2007.
  100. Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou Tang: “Noise Robust Spectral Clustering,” IEEE Int. Conf. Computer Vision (ICCV), pp. 1-8, 2007.
  101. 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.
  102. 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.