ParallelEye Pipeline: An Effective Method to Synthesize Images for Improving the Visual Intelligence of Intelligent Vehicles-Reference-Cited by-同舟云学术

ParallelEye Pipeline: An Effective Method to Synthesize Images for Improving the Visual Intelligence of Intelligent Vehicles

Author:

Li Xuan¹^ORCID,Wang Kunfeng²^ORCID,Gu Xianfeng³,Deng Fang⁴^ORCID,Wang Fei-Yue⁵^ORCID

Affiliation:

1. Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China

2. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

3. Department of Computer Science, Stony Brook University, Stony Brook, NY, USA

4. School of Automation, Beijing Institute of Technology, Beijing, China

5. State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Young Elite Scientists Sponsorship Program of China Association of Science and Technology

China Postdoctoral Science Foundation

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

Reference46 articles.

4. Unsupervised cross-domain image generation;taigman;Proc Int Conf Learn Represent,2017

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