research
∙
09/09/2023
Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation
3D human pose estimation has been a long-standing challenge in computer ...
share
research
∙
06/13/2023
Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
Motion retargeting is a fundamental problem in computer graphics and com...
research
∙
05/29/2022
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
Prevailing video frame interpolation algorithms, that generate the inter...
research
∙
03/23/2021
Learning Comprehensive Motion Representation for Action Recognition
For action recognition learning, 2D CNN-based methods are efficient but ...
research
∙
02/24/2021
Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition
In facial action unit (AU) recognition tasks, regional feature learning ...
research
∙
08/07/2019
STM: SpatioTemporal and Motion Encoding for Action Recognition
Spatiotemporal and motion features are two complementary and crucial inf...
research
∙
09/04/2018
Parameter Transfer Extreme Learning Machine based on Projective Model
Recent years, transfer learning has attracted much attention in the comm...
research
∙
08/28/2018