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2020 – today
- 2025
[j5]Haotian Lu, Jie Mei
, Yu Qiu, Yumeng Li, Fangwei Hao, Jing Xu, Lin Tang:
Information sparsity guided transformer for multi-modal medical image super-resolution. Expert Syst. Appl. 261: 125428 (2025)- 2024
- [j4]Fangwei Hao, Jiesheng Wu, Weiyun Liang, Jing Xu, Ping Li:
Lightweight blueprint residual network for single image super-resolution. Expert Syst. Appl. 250: 123954 (2024) - [j3]Jiesheng Wu, Fangwei Hao, Weiyun Liang, Jing Xu:
Transformer Fusion and Pixel-Level Contrastive Learning for RGB-D Salient Object Detection. IEEE Trans. Multim. 26: 1011-1026 (2024) - [i2]Fangwei Hao, Jiesheng Wu, Haotian Lu, Ji Du, Jing Xu:
Large coordinate kernel attention network for lightweight image super-resolution. CoRR abs/2405.09353 (2024) - [i1]Fangwei Hao, Jiesheng Wu, Ji Du, Yinjie Wang, Jing Xu:
Dilated Strip Attention Network for Image Restoration. CoRR abs/2407.18613 (2024) - 2023
- [j2]Jiesheng Wu, Weiyun Liang, Fangwei Hao, Jing Xu:
Mask-and-Edge Co-Guided Separable Network for Camouflaged Object Detection. IEEE Signal Process. Lett. 30: 748-752 (2023) - 2022
- [j1]Fangwei Hao, Taiping Zhang, Linchang Zhao, Yuanyan Tang:
Efficient residual attention network for single image super-resolution. Appl. Intell. 52(1): 652-661 (2022) - 2021
- [c1]Fangwei Hao, Xindi Ma, Taiping Zhang, Yuanyan Tang:
Channel Hourglass Residual Network For Single Image Super-Resolution. IJCNN 2021: 1-8
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