Region-Based Removal of Thermal Reflection Using Pruned Fully Convolutional Network

Author:

Batchuluun GanbayarORCID,Baek Na RaeORCID,Nguyen Dat TienORCID,Pham Tuyen DanhORCID,Park Kang RyoungORCID

Funder

National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT) through the Basic Science Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Object Segmentation Using Polarization Random Feature in Passive Millimeter-Wave Imaging;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

3. Registration and Fusion Using Reflection in Passive Millimeter-Wave Images;IEEE Transactions on Geoscience and Remote Sensing;2023

4. An Efficient Object Detection and Classification from Restored Thermal Images based on Mask RCNN;2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2022-11-10

5. Regional-Based Object Detection Using Polarization and Fisher Vectors in Passive Millimeter-Wave Imaging;IEEE Transactions on Microwave Theory and Techniques;2022

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