Fangwei Hao

According to our database, Fangwei Hao authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Du-CIPT: Dual Cross-Modal Interactive Pyramid Transformer for RGB-Thermal salient object detection and segmentation.

Jiesheng Wu, Ji Du, Fangwei Hao, Jiankang Hong

Signal Process. Image Commun., 2026

2025

Boosting Foreground-Background Disentanglement for Camouflaged Object Detection.

Jiesheng Wu, Fangwei Hao, Jing Xu

ACM Trans. Multim. Comput. Commun. Appl., December, 2025

Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution.

Fangwei Hao, Ji Du, Desheng Kong, Jiesheng Wu, Jing Xu, Ping Li

CoRR, June, 2025

UpGen: Unleashing Potential of Foundation Models for Training-Free Camouflage Detection via Generative Models.

Ji Du, Jiesheng Wu, Desheng Kong, Weiyun Liang, Fangwei Hao, Jing Xu, Bin Wang, Guiling Wang, Ping Li

IEEE Trans. Image Process., 2025

Towards context-aware convolutional network for image restoration.

Fangwei Hao, Ji Du, Weiyun Liang, Jing Xu, Xiaoxuan Xu

Knowl. Based Syst., 2025

Information sparsity guided transformer for multi-modal medical image super-resolution.

Haotian Lu, Jie Mei, Yu Qiu, Yumeng Li, Fangwei Hao, Jing Xu, Lin Tang

Expert Syst. Appl., 2025

Large coordinate attention network for lightweight image super-resolution.

Fangwei Hao, Jiesheng Wu, Haotian Lu, Ji Du, Jing Xu, Xiaoxuan Xu

Eng. Appl. Artif. Intell., 2025

Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection.

Ji Du, Xin Wang, Fangwei Hao, Mingyang Yu, Chunyuan Chen, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection.

Ji Du, Fangwei Hao, Mingyang Yu, Desheng Kong, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Transformer Fusion and Pixel-Level Contrastive Learning for RGB-D Salient Object Detection.

Jiesheng Wu, Fangwei Hao, Weiyun Liang, Jing Xu

IEEE Trans. Multim., 2024

Lightweight blueprint residual network for single image super-resolution.

Fangwei Hao, Jiesheng Wu, Weiyun Liang, Jing Xu, Ping Li

Expert Syst. Appl., 2024

Dilated Strip Attention Network for Image Restoration.

Fangwei Hao, Jiesheng Wu, Ji Du, Yinjie Wang, Jing Xu

CoRR, 2024

Large coordinate kernel attention network for lightweight image super-resolution.

Fangwei Hao, Jiesheng Wu, Haotian Lu, Ji Du, Jing Xu

CoRR, 2024

2023

Mask-and-Edge Co-Guided Separable Network for Camouflaged Object Detection.

Jiesheng Wu, Weiyun Liang, Fangwei Hao, Jing Xu

IEEE Signal Process. Lett., 2023

2022

Efficient residual attention network for single image super-resolution.

Fangwei Hao, Taiping Zhang, Linchang Zhao, Yuanyan Tang

Appl. Intell., 2022

2021

Channel Hourglass Residual Network For Single Image Super-Resolution.

Fangwei Hao, Xindi Ma, Taiping Zhang, Yuanyan Tang

Proceedings of the International Joint Conference on Neural Networks, 2021