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Lei Pan - IEEE Xplore Author Profile

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Author details

Lei Pan

Publications

5

Citations

8

Publications by Year

20232025

Co-Authors:

Xiaofei ChenYuandi GanYuqiu GaoBin HanWenqiang Li

Show All Co-Authors (17)

Lei Pan

Affiliation

School of Computer

Jiangsu University of Science and Technology

Zhenjiang, China

Publication Topics

Convolutional Neural Network,
Computational Resources,
Deep Learning,
Detection Accuracy,
Detection Model,
Feature Fusion,
Feature Maps,
Inference Speed,
Multi-scale Features,
Artificial Neural Network,
Attention Mechanism,
Autonomous Underwater Vehicles

Biography

Lei Pan was born in Shandong, China, in 1986. He received the B.Sc. and D.Sc. degrees in solid geophysics from the University of Science and Technology of China, Hefei, China, in 2009 and 2018, respectively.,He is currently with the Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen, China. His research interests are ambient noise tomography and surface-wave inversion problems, algorithms, and numerical methods.(Based on document published on 10 May 2024).

Publications

5

Citations

8

Publications by Year

20232025

Co-Authors:

Xiaofei Chen
Yuandi Gan
Yuqiu Gao
Bin Han
Wenqiang Li

Show All Co-Authors (17)

Author's Published Works

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Showing 1-2 of 2 results

Conferences (2)

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Junbo Qiao(2)
Weilin Jia(1)
Yun Zhang(1)
Zhao Zhang(1)
Yi-Shiuan Chou(1)
Communication Research Center, Harbin Institute of Technology, Harbin, China(1)
ETH Zürich, Switzerland(1)
University of Würzburg, Germany(1)
University of Pisa & University of Trento, Italy(1)
2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)(1)
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
IEEE(2)
Beijing, China(1)
Seattle, WA, USA(1)
Convolutional Layers(2)
Adam Optimizer(1)
Additive Noise(1)
Artificial Neural Network(1)
Automatic Recognition(1)

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Results

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren;Yawei Li;Nancy Mehta;Radu Timofte;Hongyuan Yu;Cheng Wan;Yuxin Hong;Bingnan Han;Zhuoyuan Wu;Yajun Zou;Yuqing Liu;Jizhe Li;Keji He;Chao Fan;Heng Zhang;Xiaolin Zhang;Xuanwu Yin;Kunlong Zuo;Bohao Liao;Peizhe Xia;Long Peng;Zhibo Du;Xin Di;Wangkai Li;Yang Wang;Wei Zhai;Renjing Pei;Jiaming Guo;Songcen Xu;Yang Cao;Zhengjun Zha;Yan Wang;Yi Liu;Qing Wang;Gang Zhang;Liou Zhang;Shijie Zhao;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Xin Liu;Min Yan;Qian Wang;Menghan Zhou;Yiqiang Yan;Yixuan Liu;Wensong Chan;Dehua Tang;Dong Zhou;Li Wang;Lu Tian;Barsoum Emad;Bohan Jia;Junbo Qiao;Yunshuai Zhou;Yun Zhang;Wei Li;Shaohui Lin;Shenglong Zhou;Binbin Chen;Jincheng Liao;Suiyi Zhao;Zhao Zhang;Bo Wang;Yan Luo;Yanyan Wei;Feng Li;Mingshen Wang;Yawei Li;Jinhan Guan;Dehua Hu;Jiawei Yu;Qisheng Xu;Tao Sun;Long Lan;Kele Xu;Xin Lin;Jingtong Yue;Lehan Yang;Shiyi Du;Lu Qi;Chao Ren;Zeyu Han;Yuhan Wang;Chaolin Chen;Haobo Li;Mingjun Zheng;Zhongbao Yang;Lianhong Song;Xingzhuo Yan;Minghan Fu;Jingyi Zhang;Baiang Li;Qi Zhu;Xiaogang Xu;Dan Guo;Chunle Guo;Jiadi Chen;Huanhuan Long;Chunjiang Duanmu;Xiaoyan Lei;Jie Liu;Weilin Jia;Weifeng Cao;Wenlong Zhang;Yanyu Mao;Ruilong Guo;Nihao Zhang;Qian Wang;Manoj Pandey;Maksym Chernozhukov;Giang Le;Shuli Cheng;Hongyuan Wang;Ziyan Wei;Qingting Tang;Liejun Wang;Yongming Li;Yanhui Guo;Hao Xu;Akram Khatami-Rizi;Ahmad Mahmoudi-Aznaveh;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2024 | Conference Paper |

Cited by: Papers (23)

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This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this challenge is to super-resolve an input image with a magnification factor of ×4 based on pairs of low and corresponding high-resolution images. The primary objective is to develop networks that optimize various aspects such ...Show More

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren;Yawei Li;Nancy Mehta;Radu Timofte;Hongyuan Yu;Cheng Wan;Yuxin Hong;Bingnan Han;Zhuoyuan Wu;Yajun Zou;Yuqing Liu;Jizhe Li;Keji He;Chao Fan;Heng Zhang;Xiaolin Zhang;Xuanwu Yin;Kunlong Zuo;Bohao Liao;Peizhe Xia;Long Peng;Zhibo Du;Xin Di;Wangkai Li;Yang Wang;Wei Zhai;Renjing Pei;Jiaming Guo;Songcen Xu;Yang Cao;Zhengjun Zha;Yan Wang;Yi Liu;Qing Wang;Gang Zhang;Liou Zhang;Shijie Zhao;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Xin Liu;Min Yan;Qian Wang;Menghan Zhou;Yiqiang Yan;Yixuan Liu;Wensong Chan;Dehua Tang;Dong Zhou;Li Wang;Lu Tian;Barsoum Emad;Bohan Jia;Junbo Qiao;Yunshuai Zhou;Yun Zhang;Wei Li;Shaohui Lin;Shenglong Zhou;Binbin Chen;Jincheng Liao;Suiyi Zhao;Zhao Zhang;Bo Wang;Yan Luo;Yanyan Wei;Feng Li;Mingshen Wang;Yawei Li;Jinhan Guan;Dehua Hu;Jiawei Yu;Qisheng Xu;Tao Sun;Long Lan;Kele Xu;Xin Lin;Jingtong Yue;Lehan Yang;Shiyi Du;Lu Qi;Chao Ren;Zeyu Han;Yuhan Wang;Chaolin Chen;Haobo Li;Mingjun Zheng;Zhongbao Yang;Lianhong Song;Xingzhuo Yan;Minghan Fu;Jingyi Zhang;Baiang Li;Qi Zhu;Xiaogang Xu;Dan Guo;Chunle Guo;Jiadi Chen;Huanhuan Long;Chunjiang Duanmu;Xiaoyan Lei;Jie Liu;Weilin Jia;Weifeng Cao;Wenlong Zhang;Yanyu Mao;Ruilong Guo;Nihao Zhang;Qian Wang;Manoj Pandey;Maksym Chernozhukov;Giang Le;Shuli Cheng;Hongyuan Wang;Ziyan Wei;Qingting Tang;Liejun Wang;Yongming Li;Yanhui Guo;Hao Xu;Akram Khatami-Rizi;Ahmad Mahmoudi-Aznaveh;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2024 | Conference Paper |

Modulated Recognition and Function Realization Based on Deep Learning

Junbo Qiao;Shuai Han;Zeyang Sun

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2023 | Conference Paper |

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With the development of technology, the communication is more busy and complex, and the types of interference increase, which is more important for the correct identification of the signals of the two parties in the communication, so the automatic modulation recognition technology (AMR) has been developed. Traditional automatic modulation recognition techniques are divided into two types: likeliho...Show More

Modulated Recognition and Function Realization Based on Deep Learning

Junbo Qiao;Shuai Han;Zeyang Sun

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2023 | Conference Paper |

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