5 citations · 6 across the 7 of their papers we have counts for
7 papers
HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations
Peng Dai, Yang Zhang, Tao Liu +5
It is especially challenging to achieve real-time human motion tracking on a standalone VR Head-Mounted Display (HMD) such as Meta Quest and PICO. In this paper, we propose HMD-Pos…
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
Huali Xu, Li Liu, Shuaifeng Zhi +4
Existing Cross-Domain Few-Shot Learning (CDFSL) methods require access to source domain data to train a model in the pre-training phase. However, due to increasing concerns about d…
Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling
Xiaozheng Zheng, Zhuo Su, Chao Wen +2
To bridge the physical and virtual worlds for rapidly developed VR/AR applications, the ability to realistically drive 3D full-body avatars is of great significance. Although real-…
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
Zhuo Su, Jiehua Zhang, Tianpeng Liu +4
This paper proposes a novel module called middle spectrum grouped convolution (MSGC) for efficient deep convolutional neural networks (DCNNs) with the mechanism of grouped convolut…
Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream
Yuheng Jiang, Kaixin Yao, Zhuo Su +3
Convenient 4D modeling of human-object interactions is essential for numerous applications. However, monocular tracking and rendering of complex interaction scenarios remain challe…
From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning
Zhuo Su, Matti Pietikäinen, Li Liu
LBP is a successful hand-crafted feature descriptor in computer vision. However, in the deep learning era, deep neural networks, especially convolutional neural networks (CNNs) can…