Search Results for author: Gongjin Lan

Found 7 papers, 2 papers with code

A Virtual Reality Training System for Automotive Engines Assembly and Disassembly

1 code implementation2 Nov 2023 Gongjin Lan, and Qiangqiang Lai, Bing Bai, Zirui Zhao, Qi Hao

A free-to-use executable file (Microsoft Windows) and open-source code are available at https://github. com/LadissonLai/SUSTech_VREngine for facilitating the development of VR systems in the automotive industry.

Vision-Based Human Pose Estimation via Deep Learning: A Survey

no code implementations26 Aug 2023 Gongjin Lan, Yu Wu, Fei Hu, Qi Hao

In this article, we provide an up-to-date and in-depth overview of the deep learning approaches in vision-based HPE.

Pose Estimation

Class Binarization to NeuroEvolution for Multiclass Classification

1 code implementation26 Aug 2023 Gongjin Lan, Zhenyu Gao, Lingyao Tong, Ting Liu

In this paper, we apply class binarization techniques to a neuroevolution algorithm, NeuroEvolution of Augmenting Topologies (NEAT), that is used to generate neural networks for multiclass classification.

Binarization Binary Classification +1

A Semantic Web Technology Index

no code implementations14 Jan 2022 Gongjin Lan, Ting Liu, Xu Wang, Xueli Pan, Zhisheng Huang

In this paper, we propose an SW technology index to standardize the development for ensuring that the work of SW technology is designed well and to quantitatively evaluate the quality of the work in SW technology.

Learning Locomotion Skills in Evolvable Robots

no code implementations19 Oct 2020 Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak, A. E. Eiben

The challenge of robotic reproduction -- making of new robots by recombining two existing ones -- has been recently cracked and physically evolving robot systems have come within reach.

Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm

no code implementations4 May 2020 Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben

Evolutionary Algorithms (EA) on the other hand rely on search heuristics that typically do not depend on all previous data and can be done in constant time.

Bayesian Optimization Evolutionary Algorithms

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