HFML: heterogeneous hierarchical federated mutual learning on non-IID data.
Ann. Oper. Res., May, 2025
Federated deep long-tailed learning: A survey.
Neurocomputing, 2024
Federated Learning for Assigning Weights to Clients on Long-Tailed Data.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
Self-supervised method for 3D human pose estimation with consistent shape and viewpoint factorization.
Appl. Intell., February, 2023
Deep Learning based Human Pose Estimation
PhD thesis, 2021
RGB-IR cross-modality person ReID based on teacher-student GAN model.
Pattern Recognit. Lett., 2021
Exploring temporal consistency for human pose estimation in videos.
Pattern Recognit., 2020
Recognizing actions in images by fusing multiple body structure cues.
Pattern Recognit., 2020
Illumination Adaptive Person Reid Based on Teacher-Student Model and Adversarial Training.
Proceedings of the IEEE International Conference on Image Processing, 2020
End-to-end Dynamic Matching Network for Multi-view Multi-person 3D Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020
Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
A Deep Model Combining Structural Features and Context Cues for Action Recognition in Static Images.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Formulation of Cognitive Skills: A theoretical model based on psychological and neurosciences studies.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017