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Chuanlong Xie - IEEE Xplore Author Profile
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Chuanlong Xie

Publications
4
Citations
18
Publications by Year
20162024
Co-Authors:
Show All Co-Authors (78)
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Chuanlong Xie

Affiliation

Beijing Normal University

Publication Topics

Publications
4
Citations
18
Publications by Year
20162024
Co-Authors:
Show All Co-Authors (78)
Author's Published Works

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NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report

Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte;Yidi Liu;Xingbo Wang;Yurui Zhu;Gege Shi;Xin Lu;Xueyang Fu;Zheng-Jun Zha;Wei Dong;Han Zhou;Ruiyi Wang;Xiaohong Liu;Guangtao Zhai;Jun Chen;Wei Song;Yichang Gao;Jiahao Xiong;Hualiang Lin;Xianger Li;Dong Li;Mohab Kishawy;Ruibin Li;Seyed Amirreza Mousavi;Rana Rauf;Yangyi Liu;Huan Liu;MingSheng Tu;Kele Xu;JiaWen Chen;Qisheng Xu;Tao Sun;Jin Guo;Ben Shao;Tianli Liu;Mohao Wu;Xingzhuo Yan;Minghan Fu;Lehan Yang;Xin Lin;Lu Qi;Jincen Song;Xiaoqian Hu;Linwei Tao;Hongming Chen;Xiang Chen;Chuanlong Xie;Zhao Zhang;Junhu Wang;Yanyan Wei;Suiyi Zhao;Shengeng Tang;Sampada Malagi;Amogh Joshi;Nikhil Akalwadi;Chaitra Desai;Ramesh Ashok Tabib;Uma Mudenagudi;Wenjing Jiang;Jagadeesh Kalyanshetti;Vijayalaxmi Ashok Aralikatti;Yashaswini P;Nitish Upasi;Dikshit Hegde;Ujwala Patil;Sujata C

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (18)
This study examines the results of the NTIRE 2024 Challenge on Dense and Non-Homogeneous Dehazing. Innovative methods were introduced and tested using a new image dataset named DNH-HAZE. The DNH-HAZE dataset comprises 50 pairs of authentic outdoor images showcasing dense and non-homogeneous haze alongside corresponding haze-free images of identical scenes. The haze was simulated using a profession...Show More

NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report

Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte;Yidi Liu;Xingbo Wang;Yurui Zhu;Gege Shi;Xin Lu;Xueyang Fu;Zheng-Jun Zha;Wei Dong;Han Zhou;Ruiyi Wang;Xiaohong Liu;Guangtao Zhai;Jun Chen;Wei Song;Yichang Gao;Jiahao Xiong;Hualiang Lin;Xianger Li;Dong Li;Mohab Kishawy;Ruibin Li;Seyed Amirreza Mousavi;Rana Rauf;Yangyi Liu;Huan Liu;MingSheng Tu;Kele Xu;JiaWen Chen;Qisheng Xu;Tao Sun;Jin Guo;Ben Shao;Tianli Liu;Mohao Wu;Xingzhuo Yan;Minghan Fu;Lehan Yang;Xin Lin;Lu Qi;Jincen Song;Xiaoqian Hu;Linwei Tao;Hongming Chen;Xiang Chen;Chuanlong Xie;Zhao Zhang;Junhu Wang;Yanyan Wei;Suiyi Zhao;Shengeng Tang;Sampada Malagi;Amogh Joshi;Nikhil Akalwadi;Chaitra Desai;Ramesh Ashok Tabib;Uma Mudenagudi;Wenjing Jiang;Jagadeesh Kalyanshetti;Vijayalaxmi Ashok Aralikatti;Yashaswini P;Nitish Upasi;Dikshit Hegde;Ujwala Patil;Sujata C

Year: 2024 | Conference Paper |

Enhancing the Power of OOD Detection via Sample-Aware Model Selection

Feng Xue;Zi He;Yuan Zhang;Chuanlong Xie;Zhenguo Li;Falong Tan

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2024 | Conference Paper |
In this work, we present a novel perspective on detecting out-of-distribution (OOD) samples and propose an algorithm for sample-aware model selection to enhance the effectiveness of OOD detection. Our algorithm determines, for each test input, which pre-trained models in the model zoo are capable of identifying the test input as an OOD sample. If no such models exist in the model zoo, the test inp...Show More

Enhancing the Power of OOD Detection via Sample-Aware Model Selection

Feng Xue;Zi He;Yuan Zhang;Chuanlong Xie;Zhenguo Li;Falong Tan

Year: 2024 | Conference Paper |

Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion

Jiawei Li;Sitong Li;Shanshan Wang;Yicheng Zeng;Falong Tan;Chuanlong Xie

2024 IEEE Conference on Artificial Intelligence (CAI)
Year: 2024 | Conference Paper |
Deploying machine learning in open environments presents the challenge of encountering diverse test inputs that differ significantly from the training data. These out-of-distribution samples may exhibit shifts in local or global features compared to the training distribution. The machine learning (ML) community has responded with a number of methods aimed at distinguishing anomalous inputs from or...Show More

Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion

Jiawei Li;Sitong Li;Shanshan Wang;Yicheng Zeng;Falong Tan;Chuanlong Xie

Year: 2024 | Conference Paper |

Second-order consensus tracking of nonlinear multi-agent systems with time delay and intermittent communications

Chuanlong Xie;Qinghe Wu;Changkun Du

2016 35th Chinese Control Conference (CCC)
Year: 2016 | Conference Paper |
This paper investigates second-order leader-follower consensus tracking problem of multi-agent systems with nonlinear dynamics. Each agent is assumed to share information with its neighbors only in some disconnected and uniformly bounded time intervals. We also assume that there exists bounded time-varying delay in the communication among agents and nonlinear dynamics. First, a novel intermittent ...Show More

Second-order consensus tracking of nonlinear multi-agent systems with time delay and intermittent communications

Chuanlong Xie;Qinghe Wu;Changkun Du

Year: 2016 | Conference Paper |

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