6 papers
NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation
Jialun Cai, Mengyuan Liu, Hong Liu +2
The widespread application of 3D human pose estimation (HPE) is limited by resource-constrained edge devices, requiring more efficient models. A key approach to enhancing efficienc…
HOT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers
Wenhao Li, Mengyuan Liu, Hong Liu +3
Transformers have been successfully applied in the field of video-based 3D human pose estimation. However, the high computational costs of these video pose transformers (VPTs) make…
Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation
Ti Wang, Mengyuan Liu, Hong Liu +5
Although data-driven methods have achieved success in 3D human pose estimation, they often suffer from domain gaps and exhibit limited generalization. In contrast, optimization-bas…
Refine Medical Diagnosis Using Generation Augmented Retrieval and Clinical Practice Guidelines
Wenhao Li, Hongkuan Zhang, Hongwei Zhang +5
Current medical language models, adapted from large language models (LLMs), typically predict ICD code-based diagnosis from electronic health records (EHRs) because these labels ar…
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation
Jiajie Liu, Mengyuan Liu, Hong Liu +1
Recent multi-frame lifting methods have dominated the 3D human pose estimation. However, previous methods ignore the intricate dependence within the 2D pose sequence and learn sing…
Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Video
Tao Tang, Hong Liu, Yingxuan You +2
Human Mesh Reconstruction (HMR) from monocular video plays an important role in human-robot interaction and collaboration. However, existing video-based human mesh reconstruction m…