yhdang,github

🌱 I’m currently working as a postdoctoral fellow at the School of Artificial Intelligence, Beijing University of Posts and Telecommunications.
🤔 My research interests include Deep Learning, Computer Vision, Human Pose Estimation, Action Recongnition, and Embodied AI.
📫 Email me @ [email protected]

[TCSVT 2024] SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition [paper]
[Neurocomputing 2024] Physics-constrained attack against convolution-based human motion prediction [paper]
[PR 2024] Kinematics Modeling Network for Video-based Human Pose Estimation [paper]
[TIP 2022] Relation-Based Associative Joint Location for Human Pose Estimation in Videos [paper]
[TMM 2023] Leveraging the Video-level Semantic Consistency of Event for Audio-visual Event Localization [paper]
[TNNLS 2023] Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction [paper]
[TCSVT 2021] Energy-based periodicity mining with deep features for action repetition counting in unconstrained videos [paper]
[RAS 2020] DWnet: Deep-wide network for 3D action recognition [paper]
[ROBIO 2019]DBNet: A New Generalized Structure Efficient for Classification [paper]
[IEEE SMC 2018] Estimating Cement Compressive Strength from Microstructure Images Using Broad Learning System [paper]

[-] DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose Estimation
[-] Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action Recognition [paper]
[-] BiHRNet: A Binary high-resolution network for Human Pose Estimation [paper]

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