4 citations · 5 across the 10 of their papers we have counts for
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MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model
Lei Jiang, Ye Wei, Hao Ni
Diffusion models have become a popular choice for human motion synthesis due to their powerful generative capabilities. However, their high computational complexity and large sampl…
Using joint angles based on the international biomechanical standards for human action recognition and related tasks
Kevin Schlegel, Lei Jiang, Hao Ni
Keypoint data has received a considerable amount of attention in machine learning for tasks like action detection and recognition. However, human experts in movement such as doctor…
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
Baoren Xiao, Hao Ni, Weixin Yang
Generative adversarial networks (GANs) have emerged as a powerful tool for generating high-fidelity data. However, the main bottleneck of existing approaches is the lack of supervi…
GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition
Lei Jiang, Weixin Yang, Xin Zhang +1
Skeleton-based action recognition (SAR) in videos is an important but challenging task in computer vision. The recent state-of-the-art (SOTA) models for SAR are primarily based on…