Graph regularized tensor sparse coding for image representation. - Fei Jiang 006; Xiao-Yang Liu; Hongtao Lu 001; Ruimin Shen (ICME, 2017)

Highly Occluded Face Detection: An Improved R-FCN Approach. - Lin Liu; Fei Jiang 006; Ruimin Shen (ICONIP (6), 2017)

Region-Based Face Alignment with Convolution Neural Network Cascade. - Yu Zhang; Fei Jiang 006; Ruimin Shen (ICONIP (3), 2017)

Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination. - Fei Jiang 006; Xiao-Yang Liu; Hongtao Lu 001; Ruimin Shen (CoRR, 2017)

Abdominal adipose tissues extraction using multi-scale deep neural network. - Fei Jiang 006; Huating Li; Xuhong Hou; Bin Sheng 001; Ruimin Shen; Xiao-Yang Liu; Weiping Jia; Ping Li 016; Ruogu Fang (Neurocomputing, 2017)

Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination. - Fei Jiang 006; Xiao-Yang Liu; Hongtao Lu 001; Ruimin Shen (AAAI, 2018)

Who Are Raising Their Hands? Hand-Raiser Seeking Based on Object Detection and Pose Estimation. - Huayi Zhou 001; Fei Jiang 006; Ruimin Shen (ACML, 2018)

Anisotropic Total Variation Regularized Low-Rank Tensor Completion Based On Tensor Nuclear Norm for Color Image Inpainting. - Fei Jiang 006; Xiao-Yang Liu; Hongtao Lu 001; Ruimin Shen (ICASSP, 2018)

Hand-Raising Gesture Detection in Real Classroom. - Jiaojiao Lin; Fei Jiang 006; Ruimin Shen (ICASSP, 2018)

Total Variation Regularized Reweighted Low-rank Tensor Completion for Color Image Inpainting. - Lingwei Li; Fei Jiang 006; Ruimin Shen (ICIP, 2018)

CCT: A Cross-Concat and Temporal Neural Network for Multi-Label Action Unit Detection. - Qiaoping Hu; Fei Jiang 006; Chuanneng Mei; Ruimin Shen (ICME, 2018)

Region and Temporal Dependency Fusion for Multi-label Action Unit Detection. - Chuanneng Mei; Fei Jiang 006; Ruimin Shen; Qiaoping Hu (ICPR, 2018)

Multi-object Detection Based on Deep Learning in Real Classrooms. - Benchi Shao; Fei Jiang 006; Ruimin Shen (PRICAI, 2018)

Sleep Gesture Detection in Classroom Monitor System. - Wen Li; Fei Jiang 006; Ruimin Shen (ICASSP, 2019)

Large-pose Face Alignment via Shape-aware Heatmap. - Jiaxin Si; Fei Jiang 006; Ruimin Shen (ICASSP, 2019)

Fast Sparse Coding Inference with Historical Information. - Zhenchang Zhang; Fei Jiang 006; Ruimin Shen (ICDM, 2019)

An Effective Yawn Behavior Detection Method in Classroom. - Zexian Wang; Fei Jiang 006; Ruimin Shen (ICONIP (1), 2019)

Hand-raising gesture detection in real classrooms using improved R-FCN. - Jiaxin Si; Jiaojiao Lin; Fei Jiang 006; Ruimin Shen (Neurocomputing, 2019)

Intelligent Student Behavior Analysis System for Real Classrooms. - Rui Zheng; Fei Jiang 006; Ruimin Shen (ICASSP, 2020)

Fast and Accurate Hand-Raising Gesture Detection in Classroom. - Tao Liu; Fei Jiang 006; Ruimin Shen (ICONIP (4), 2020)

Facial Action Units Intensity Estimation via Graph Relation Network. - Ce Wang; Fei Jiang 006; Ruimin Shen (ICONIP (2), 2020)

GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based Detector. - Rui Zheng; Fei Jiang 006; Ruimin Shen (IJCAI, 2020)

Intelligent Student Fighting Recognition System in Schools. - Tian Yu; Fei Jiang 006; Hongtao Lu 001 (CISP-BMEI, 2021)

Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive Imaging. - Yi Yang; Fei Jiang 006; Hongtao Lu 001 (ICASSP, 2021)

ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-Aware Supervision Information. - Xingfei Hu; Deyang Wu; Haiyan Li; Fei Jiang 006; Hongtao Lu 001 (ICONIP (1), 2021)

PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting. - Xiaoshuang Chen; Yiru Zhao; Yu Qin; Fei Jiang 006; Mingyuan Tao; Xiansheng Hua 001; Hongtao Lu 001 (CoRR, 2021)

Small and accurate heatmap-based face alignment via distillation strategy and cascaded architecture. - Jiaxin Si; Fei Jiang 006; Ruimin Shen; Hongtao Lu 001 (Comput. Vis. Image Underst., 2021)

student dangerous behavior detection in school. - Huayi Zhou 001; Fei Jiang 006; Hongtao Lu 001 (CoRR, 2022)

Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding. - Huayi Zhou 001; Fei Jiang 006; Jiaxin Si; Hongtao Lu 001 (CoRR, 2022)

An Intuitive and Unconstrained 2D Cube Representation for Simultaneous Head Detection and Pose Estimation. - Huayi Zhou 001; Fei Jiang 006; Lili Xiong; Hongtao Lu 001 (CoRR, 2022)

RFAU: A Database for Facial Action Unit Analysis in Real Classrooms. - Qiaoping Hu; Chuanneng Mei; Fei Jiang 006; Ruimin Shen; Yitian Zhang; Ce Wang; Junpeng Zhang (IEEE Trans. Affect. Comput., 2022)

Stuart: Individualized Classroom Observation of Students with Automatic Behavior Recognition And Tracking. - Huayi Zhou 001; Fei Jiang 006; Jiaxin Si; Lili Xiong; Hongtao Lu 001 (ICASSP, 2023)

Body-Part Joint Detection and Association via Extended Object Representation. - Huayi Zhou 001; Fei Jiang 006; Hongtao Lu 001 (ICME, 2023)

Landmark-Assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning. - Yi Yang; Qiaoping Hu; Hongtao Lu 001; Fei Jiang 006; Yaoyi Li (ICONIP (12), 2023)

Multi-scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network. - Yi Yang; Zhenchang Zhang; Hongtao Lu 001; Fei Jiang 006 (ICONIP (12), 2023)

DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles. - Huayi Zhou 001; Fei Jiang 006; Hongtao Lu 001 (CoRR, 2023)

SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection. - Huayi Zhou 001; Fei Jiang 006; Hongtao Lu 001 (Comput. Vis. Image Underst., 2023)

Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training. - Huayi Zhou 001; Mukun Luo; Fei Jiang 006; Yue Ding 001; Hongtao Lu 001 (CoRR, 2024)

Semi-Supervised Unconstrained Head Pose Estimation in the Wild. - Huayi Zhou 001; Fei Jiang 006; Hongtao Lu 001 (CoRR, 2024)

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. - Huayi Zhou 001; Fei Jiang 006; Jiaxin Si; Yue Ding 001; Hongtao Lu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

OSA-PD: Open-Set Active Learning Exploiting Predictive Discrepancy. - Zhiming Chen; Peng Han; Fei Jiang 006; Jiaxin Si; Lili Xiong (IEEE Signal Process. Lett., 2025)