Fast and high-performance learned image compression with improved checkerboard context model, deformable residual module, and knowledge distillation H Fu, F Liang, J Liang, Y Wang, Z Fang, G Zhang, J Han IEEE Transactions on Image Processing, 2024 | 3 | 2024 |
LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n Q Cao, H Chen, S Wang, Y Wang, H Fu, Z Chen, F Liang Remote Sensing 16 (22), 4340, 2024 | 1 | 2024 |
S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context Y Wang, H Fu, Q Cao, S Wang, Z Chen, F Liang arXiv preprint arXiv:2403.14471, 2024 | 1 | 2024 |
A Weight Mapping Strategy for More Fully Exploiting Data in CIM-Based CNN Accelerator S Wang, F Liang, Q Cao, Y Wang, H Li, J Liang IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 | 1 | 2023 |
Enhanced Residual SwinV2 Transformer for Learned Image Compression Y Wang, F Liang, H Fu, J Liang, H Qin, J Liang arXiv preprint arXiv:2308.11864, 2023 | 1 | 2023 |
Towards an Efficient Remote Sensing Image Compression Network with Visual State Space Model Y Wang, F Liang, S Wang, H Chen, Q Cao, H Fu, Z Chen Remote Sensing 17 (3), 425, 2025 | | 2025 |