Ting Nie

22 papers Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel infrared and visible image fusion network based on cross-modality reinforcement and multi-attention fusion strategy.
Expert Syst. Appl.
Biao Qi, Yu Zhang, Ting Nie, Da Yu, Hengyi Lv, Guoning Li
2025 J jnl
An Optimization of Weak Key Attacks Based on the BGF Decoding Algorithm.
Comput. Mater. Continua
Bing Liu, Ting Nie, Yansong Liu, Weibo Hu
2025 J jnl
AttFeat: Attention-Based Features for Infrared and Visible Remote Sensing Image Matching.
IEEE Geosci. Remote. Sens. Lett.
Jiaqi Li, Xinran Chen, Xiaozhen Wang, Guoling Bi, Ting Nie, Liang Huang
2024 J jnl
A Novel Highway Traffic Capacity Analyzing Method under Road Region Atmospheric Environment Constrains Based on Computational Fluid Dynamics Model.
CoRR
Ruohan Li, Hualan Wang, Qiyang Zhang, Ting Nie
2024 J jnl
Blind Infrared Remote-Sensing Image Deblurring Algorithm via Edge Composite-Gradient Feature Prior and Detail Maintenance.
Remote. Sens.
Xiaohang Zhao, Mingxuan Li, Ting Nie, Chengshan Han, Liang Huang
2024 J jnl
Fast, Zero-Reference Low-Light Image Enhancement with Camera Response Model.
Sensors
Xiaofeng Wang, Liang Huang, Mingxuan Li, Chengshan Han, Xin Liu, Ting Nie
2024 J jnl
Multiscale Feature Extraction U-Net for Infrared Dim- and Small-Target Detection.
Remote. Sens.
Xiaozhen Wang, Chengshan Han, Jiaqi Li, Ting Nie, Mingxuan Li, Xiaofeng Wang, Liang Huang
2024 J jnl
Radiation-Variation Insensitive Coarse-to-Fine Image Registration for Infrared and Visible Remote Sensing Based on Zero-Shot Learning.
Remote. Sens.
Jiaqi Li, Guoling Bi, Xiaozhen Wang, Ting Nie, Liang Huang
2024 J jnl
Stripe Noise Removal Algorithm for Infrared Remote Sensing Images Based on Adaptive Weighted Variable Order Model.
Remote. Sens.
Liang Huang, Mingyang Gao, Hangfei Yuan, Mingxuan Li, Ting Nie
2023 J jnl
An Innovative Approach for Removing Stripe Noise in Infrared Images.
Sensors
Xiaohang Zhao, Mingxuan Li, Ting Nie, Chengshan Han, Liang Huang
2023 J jnl
Image Restoration via Low-Illumination to Normal-Illumination Networks Based on Retinex Theory.
Sensors
Chaoran Wen, Ting Nie, Mingxuan Li, Xiaofeng Wang, Liang Huang
2022 J jnl
A Novel Stripe Noise Removal Model for Infrared Images.
Sensors
Mingxuan Li, Shenkai Nong, Ting Nie, Chengshan Han, Liang Huang, Lixin Qu
2022 J jnl
Enhancement and Noise Suppression of Single Low-Light Grayscale Images.
Remote. Sens.
Ting Nie, Xiaofeng Wang, Hongxing Liu, Mingxuan Li, Shenkai Nong, Hangfei Yuan, Yuchen Zhao, Liang Huang
2022 J jnl
Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network.
Sensors
Yongji Long, Zirong Wang, Bin He, Ting Nie, Xingxiang Zhang, Tianjiao Fu
2021 — conf
Energy Balanced Clustering Routing Protocol for Wireless Sensor Networks.
ICCC Workshops
Xu He, Zhongzheng Ning, Siyuan Liang, Jianbo Du, Ting Nie
2021 J jnl
Graph-based algorithmic design and decision-making framework for district heating and cooling plant positioning and network planning.
Adv. Eng. Informatics
Chi-On Ho, Ting Nie, Lingqi Su, Zheng Yang, Ben Schwegler, Philippe Calvez
2021 J jnl
Multi-Exposure Fusion of Gray Images Under Low Illumination Based on Low-Rank Decomposition.
Remote. Sens.
Ting Nie, Liang Huang, Hongxing Liu, Xiansheng Li, Yuchen Zhao, Hangfei Yuan, Xiangyu Song, Bin He
2020 J jnl
Ship Detection in Panchromatic Optical Remote Sensing Images Based on Visual Saliency and Multi-Dimensional Feature Description.
Remote. Sens.
Ting Nie, Xiyu Han, Bin He, Xiansheng Li, Hongxing Liu, Guoling Bi
2019 J jnl
An Adaptive Two-Scale Image Fusion of Visible and Infrared Images.
IEEE Access
Xiyu Han, Tao Lv, Xiangyu Song, Ting Nie, Huaidan Liang, Bin He, Arjan Kuijper
2018 — conf
Multi-label Learning Based on Label-Specific Feature Extraction.
ICBK
Ting Nie
2017 J jnl
A Method of Ship Detection under Complex Background.
ISPRS Int. J. Geo Inf.
Ting Nie, Bin He, Guoling Bi, Yu Zhang, Wensheng Wang
2017 J jnl
A Novel Method of Aircraft Detection Based on High-Resolution Panchromatic Optical Remote Sensing Images.
Sensors
Wensheng Wang, Ting Nie, Tianjiao Fu, Jianyue Ren, Longxu Jin