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Weili Zeng
Researcher at Nanjing University of Aeronautics and Astronautics
Publications - 67
Citations - 758
Weili Zeng is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Computer science & Trajectory. The author has an hindex of 13, co-authored 56 publications receiving 482 citations. Previous affiliations of Weili Zeng include San Jose State University & Southeast University.
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Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization
TL;DR: Experimental results indicate that the proposed multi-agent type-2 fuzzy logic control method optimized by differential evolution for multi-intersection traffic signal control can enhance the vehicular throughput rate and reduce delay, queue length and parking rate efficiently.
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Singular value decomposition and local near neighbors for face recognition under varying illumination
TL;DR: The experimental results indicate that the proposed methods can obtain high performances under different illumination variations and outperform several state-of-the-art approaches which are proposed to address face recognition under varying illumination.
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Region-based non-local means algorithm for noise removal
Weili Zeng,X.B. Lu +1 more
TL;DR: In this article, a region-based non-local means (NLM) method was proposed for image denoising, which first analyses and classifies the image into several region types and then adjusts the local window size according to the local property of a region.
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Fast Single-Image Super-Resolution via Deep Network With Component Learning
Chao Xie,Weili Zeng,Xiaobo Lu +2 more
TL;DR: Thorough experimental results demonstrate the merit and effectiveness of the proposed component learning strategy, and the trained model outperforms many state-of-the-art methods in terms of both speed and reconstruction quality.
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A Generalized DAMRF Image Modeling for Superresolution of License Plates
Weili Zeng,Xiaobo Lu +1 more
TL;DR: A novel superresolution reconstruction algorithm to handle license plate texts in real traffic videos based on a generalized discontinuity-adaptive Markov random field (DAMRF) model, which not only preserves edges but is robust to noise as well.