60 citations · 124 across the 7 of their papers we have counts for
7 papers
Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
Lei Hu, Zihao Zhang, Chongyang Zhong +2
Motion retargeting is a fundamental problem in computer graphics and computer vision. Existing approaches usually have many strict requirements, such as the source-target skeletons…
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
Lingtong Kong, Boyuan Jiang, Donghao Luo +5
Prevailing video frame interpolation algorithms, that generate the intermediate frames from consecutive inputs, typically rely on complex model architectures with heavy parameters…
Learning Comprehensive Motion Representation for Action Recognition
Mingyu Wu, Boyuan Jiang, Donghao Luo +7
For action recognition learning, 2D CNN-based methods are efficient but may yield redundant features due to applying the same 2D convolution kernel to each frame. Recent efforts at…
Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition
Jingwei Yan, Boyuan Jiang, Jingjing Wang +3
In facial action unit (AU) recognition tasks, regional feature learning and AU relation modeling are two effective aspects which are worth exploring. However, the limited represent…
STM: SpatioTemporal and Motion Encoding for Action Recognition
Boyuan Jiang, Mengmeng Wang, Weihao Gan +2
Spatiotemporal and motion features are two complementary and crucial information for video action recognition. Recent state-of-the-art methods adopt a 3D CNN stream to learn spatio…
Parameter Transfer Extreme Learning Machine based on Projective Model
Chao Chen, Boyuan Jiang, Xinyu Jin
Recent years, transfer learning has attracted much attention in the community of machine learning. In this paper, we mainly focus on the tasks of parameter transfer under the frame…
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen, Zhihong Chen, Boyuan Jiang +1
Recently, considerable effort has been devoted to deep domain adaptation in computer vision and machine learning communities. However, most of existing work only concentrates on le…