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20232026
most citedA Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision

9 citations · 17 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 4 cited

CityGen: Infinite and Controllable City Layout Generation

Jie Deng, Wenhao Chai, Jianshu Guo +6

The recent surge in interest in city layout generation underscores its significance in urban planning and smart city development. The task involves procedurally or automatically ge…

cs.CV2023★ 9 cited

A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision

Zhonghan Zhao, Wenhao Chai, Shengyu Hao +6

Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive su…

cs.CV2023★ 1 cited

Improving 2D face recognition via fine-level facial depth generation and RGB-D complementary feature learning

Wenhao Hu

Face recognition in complex scenes suffers severe challenges coming from perturbations such as pose deformation, ill illumination, partial occlusion. Some methods utilize depth est…

cs.LG2023★ 1 cited

Deep Learning Methods for Small Molecule Drug Discovery: A Survey

Wenhao Hu, Yingying Liu, Xuanyu Chen +4

With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decad…

cs.CV2023

Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal

Xuechen Guo, Wenhao Hu, Chiming Ni +3

Medical images often incorporate doctor-added markers that can hinder AI-based diagnosis. This issue highlights the need of inpainting techniques to restore the corrupted visual co…