21 citations · 43 across the 4 of their papers we have counts for
5 papers
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger
Cong Wang, Hongmin Xu, Xiong Zhang +3
Vision Transformers (ViTs) have recently dominated a range of computer vision tasks, yet it suffers from low training data efficiency and inferior local semantic representation cap…
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
Xingyu Chen, Yufeng Liu, Yajiao Dong +5
In this work, we propose a framework for single-view hand mesh reconstruction, which can simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal coh…
Hand Image Understanding via Deep Multi-Task Learning
Xiong Zhang, Hongsheng Huang, Jianchao Tan +5
Analyzing and understanding hand information from multimedia materials like images or videos is important for many real world applications and remains active in research community.…
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
Xiong Zhang, Hongmin Xu, Hong Mo +4
Neural Architecture Search (NAS) has shown great potentials in automatically designing scalable network architectures for dense image predictions. However, existing NAS algorithms…
End-to-end Hand Mesh Recovery from a Monocular RGB Image
Xiong Zhang, Qiang Li, Hong Mo +2
In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem of reconstructing the full 3D mesh of a human hand from a single RGB image. In contrast to exi…