Search Results for author: Hong Mo

Found 2 papers, 1 papers with code

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation

no code implementations CVPR 2021 Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren

Neural Architecture Search (NAS) has shown great potentials in automatically designing scalable network architectures for dense image predictions.

Ranked #13 on Semantic Segmentation on Cityscapes test (using extra training data)

Image Segmentation Neural Architecture Search +1

End-to-end Hand Mesh Recovery from a Monocular RGB Image

2 code implementations ICCV 2019 Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, Wen Zheng

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.

3D Hand Pose Estimation

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