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！

• 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

[1]    Jiancheng Huang, Mingfu Yan, Yifan Liu, Shifeng Chen*: “SBCR: Stochasticity Beats Content Restriction Problem in Training and Tuning Free Image Editing,” ICMR, 2024.

[2]    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.

[3]    Jiancheng Huang, Mingfu Yan, Yifan Liu, Shifeng Chen*: “Color-SD: Stable Diffusion Model already has a Color Style Noisy Latent Space,” ICME, 2024.

[4]    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.

[5]    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.

[6]    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.

[7]    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.

[8]    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.

[9]    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.

[10] 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. 

[11] 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.

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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.

[18] 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.

[19] Chen Zhang, BoZhong Liu, Shifeng Chen*: “ARefine: Efficiently Storing Surveillance Videos via Accuracy-aware Refining Mechanism,” International Conference on Intelligent Design (ICID), October 2022.

[20] 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.

[21] 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.

[22] 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.

[23] 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.

[24] 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.

[25] 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.

[26] 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.

[27] 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.

[28] 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.

[29] 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.

[30] Zhiwei Zhang, Shifeng Chen*, Lei Sun: “P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection,” IJCAI, pp. 3237-3243, 2020.

[31] 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.

[32] 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.

[33] 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

[34] 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.

[35] 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.

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

[37] Hanyu Peng, Shifeng Chen: “BDNN: Binary convolution neural networks for fast object detection,” Pattern Recognition Letters, 125: 91-97, 2019.

[38] 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.

[39] 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.

[40] 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.

[41] Sunping Wang and Shifeng Chen: “Depth-Aware Convolutional Neural Networks for Semantic Segmentation,” Journal of Integration Technology, 7(5):58-66, 2018.

[42] 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.

[43] Hao Lv and Shifeng Chen: “Strong Edge-Aware Depth Image Completion with Multi-Direction Filtering,” Journal of Integration Technology, 5(6):36-45, 2016.

[44] 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.

[45] Shuze Du, Shifeng Chen: “Detecting Co-Salient Objects in Large Image Sets,” IEEE Signal Processing Letters (SPL), 22(2): 145-148, 2015.

[46] 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.

[47] Shuze Du, Shifeng Chen, “Salient Object Detection via Random Forest,” IEEE Signal Processing Letters (SPL), Volume 21, Issue 1, Pages 51-54, 2014.

[48] 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.

[49] 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.

[50] 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.

[51] Chao Dong, Shifeng Chen, Xiaoou Tang: “AdVisual: A Visual-based Advertising System,” Proc. ACM Multimedia (ACM-MM Demo), pp. 433-434, 2013.

[52] 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.

[53] 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.

[54] 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.

[55] 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.

[56] 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.

[57] Qian Li, Shifeng Chen, Beiwei Zhang: “Predictive Video Saliency Detection,” Proc. Chinese Conference on Pattern Recognition (CCPR), pp. 178-185, 2012.

[58] Qiang Zhou, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang: “Edge-Preserving Single Image Super-Resolution,” ACM Multimedia (ACM-MM), pp. 1037-1040, 2011.

[59] Chen Cao, Shifeng Chen, Wei Zhang, Xiaoou Tang: “Automatic Motion-Guided Video Stylization and Personalization,” ACM Multimedia (ACM-MM), pp. 1041-1044, 2011.

[60] Shifeng Chen, Yu Qiao, “Image Segmentation via Multi-Scaled Belief Propagation,” ICIA, 2011.

[61] Wei Zhang, Yu Qiao, Chunjing Xu, and Shifeng Chen, “Robust Non-Rigid 3D Tracking for Face Recognition in Real-world Videos,” ICIA, 2011.

[62] 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)

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

[64] 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.

[65] 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.

[66] 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.

[67] Ming Liu, Shifeng Chen, Jianzhuang Liu: “Video Completion via Motion Guided Spatial-Temporal Global Optimization,” ACM Multimedia (ACM-MM), pp. 537-540, 2009

[68] 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.

[69] Fang Wen, Shifeng Chen, Xiaoou Tang: “Easytoon: Cartoon Personalization Using Face Photos,” ACM Multimedia (ACM-MM Demo), pp. 1021-1022, 2008.

[70] Ming Liu, Shifeng Chen, Jianzhuang Liu: “Precise Object Cutout from Images,” ACM Multimedia (ACM-MM), pp. 623-626, 2008.

[71] 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.

[72] Shifeng Chen, Zhenguo Li, Jianzhuang Liu, Xiaoou Tang: “Image Matting Using Linear Optimization,” ACM Multimedia (ACM-MM), pp. 321-324, 2007.

[73] Huang Ting, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang: “Image Inpainting by Global Structure and Texture Propagation,” ACM Multimedia (ACM-MM), pp. 517-520, 2007.

[74] Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou Tang: “Noise Robust Spectral Clustering,” IEEE Int. Conf. Computer Vision (ICCV), pp. 1-8, 2007.

[75] 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.

[76] 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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