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20232025
most citedCross-Modal Retrieval for Motion and Text via DropTriple Loss

17 citations · 20 across the 10 of their papers we have counts for

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10 papers · 1 filter

cs.CV2025

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…

cs.CV2025

Masked Clustering Prediction for Unsupervised Point Cloud Pre-training

Bin Ren, Xiaoshui Huang, Mengyuan Liu +4

Vision transformers (ViTs) have recently been widely applied to 3D point cloud understanding, with masked autoencoding as the predominant pre-training paradigm. However, the challe…

cs.CV2025★ 1 cited

3D Skeleton-Based Action Recognition: A Review

Mengyuan Liu, Hong Liu, Qianshuo Hu +4

With the inherent advantages of skeleton representation, 3D skeleton-based action recognition has become a prominent topic in the field of computer vision. However, previous review…

cs.CV2025★ 1 cited

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…

cs.CV2025

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…

cs.CV2024

Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification

Peini Guo, Mengyuan Liu, Hong Liu +3

Cloth-Changing Person Re-Identification (CC-ReID) aims to accurately identify the target person in more realistic surveillance scenarios, where pedestrians usually change their clo…