111 citations · 117 across the 3 of their papers we have counts for
5 papers
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…
RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices
Chen Chen, Mengyuan Liu, Xiandong Meng +2
Previous state-of-the-art real-time object detectors have been reported on GPUs which are extremely expensive for processing massive data and in resource-restricted scenarios. Ther…
Self-Refining Deep Symmetry Enhanced Network for Rain Removal
Hong Liu, Hanrong Ye, Xia Li +3
Rain removal aims to remove the rain streaks on rain images. The state-of-the-art methods are mostly based on Convolutional Neural Network~(CNN). However, as CNN is not equivariant…
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions
Mengyuan Liu, Hong Liu, Chen Chen
3D action recognition has broad applications in human-computer interaction and intelligent surveillance. However, recognizing similar actions remains challenging since previous lit…
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition
Hong Liu, Juanhui Tu, Mengyuan Liu
It remains a challenge to efficiently extract spatialtemporal information from skeleton sequences for 3D human action recognition. Although most recent action recognition methods a…