119 citations · 136 across the 5 of their papers we have counts for
6 papers · 1 filter
QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars
Alexander Winkler, Jungdam Won, Yuting Ye
Real-time tracking of human body motion is crucial for interactive and immersive experiences in AR/VR. However, very limited sensor data about the body is available from standalone…
Identity-Disentangled Neural Deformation Model for Dynamic Meshes
Binbin Xu, Lingni Ma, Yuting Ye +3
Neural shape models can represent complex 3D shapes with a compact latent space. When applied to dynamically deforming shapes such as the human hands, however, they would need to p…
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Yi Zhou, Chenglei Wu, Zimo Li +5
Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoencoders. Although they demonstrate higher pre…
Disentangling Pose from Appearance in Monochrome Hand Images
Yikang Li, Chris Twigg, Yuting Ye +2
Hand pose estimation from the monocular 2D image is challenging due to the variation in lighting, appearance, and background. While some success has been achieved using deep neural…
Learning Warped Guidance for Blind Face Restoration
Xiaoming Li, Ming Liu, Yuting Ye +3
This paper studies the problem of blind face restoration from an unconstrained blurry, noisy, low-resolution, or compressed image (i.e., degraded observation). For better recovery…
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
Abhronil Sengupta, Yuting Ye, Robert Wang +2
Over the past few years, Spiking Neural Networks (SNNs) have become popular as a possible pathway to enable low-power event-driven neuromorphic hardware. However, their application…