Search Results for author: Xuan Huang

Found 6 papers, 2 papers with code

Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving

no code implementations21 Apr 2024 Shuyao Shi, Neiwen Ling, Zhehao Jiang, Xuan Huang, Yuze He, Xiaoguang Zhao, Bufang Yang, Chen Bian, Jingfei Xia, Zhenyu Yan, Raymond Yeung, Guoliang Xing

To explore the potential of infrastructure-assisted autonomous driving, this paper presents the design and deployment of Soar, the first end-to-end SRI system specifically designed to support autonomous driving systems.

Autonomous Driving

3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands

1 code implementation2 Jan 2024 Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang

Subsequently, a feature fusion module that exploits the visibility of query points and mesh vertices is introduced to adaptively merge features of both hands, enabling the recovery of features in unseen areas.

Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring

no code implementations29 Dec 2023 Xin Gao, Tianheng Qiu, Xinyu Zhang, Hanlin Bai, Kang Liu, Xuan Huang, Hu Wei, Guoying Zhang, Huaping Liu

Coarse-to-fine schemes are widely used in traditional single-image motion deblur; however, in the context of deep learning, existing multi-scale algorithms not only require the use of complex modules for feature fusion of low-scale RGB images and deep semantics, but also manually generate low-resolution pairs of images that do not have sufficient confidence.

Computational Efficiency Deblurring

Monocular 3D Hand Mesh Recovery via Dual Noise Estimation

1 code implementation26 Dec 2023 Hanhui Li, Xiaojian Lin, Xuan Huang, Zejun Yang, Zhisheng Wang, Xiaodan Liang

However, due to the fixed hand topology and complex hand poses, current models are hard to generate meshes that are aligned with the image well.

Noise Estimation

Progressive Learning of Low-Precision Networks

no code implementations28 May 2019 Zhengguang Zhou, Wengang Zhou, Xutao Lv, Xuan Huang, Xiaoyu Wang, Houqiang Li

Recent years have witnessed the great advance of deep learning in a variety of vision tasks.

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