1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2026★ 1 cited
Any Image Restoration via Efficient Spatial-Frequency Degradation Adaptation
Bin Ren, Eduard Zamfir, Zongwei Wu +7
Restoring multiple degradations efficiently via just one model has become increasingly significant and impactful, especially with the proliferation of mobile devices. Traditional s…
cs.CV2025
DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
Yihong Wu, Jinqiao Wei, Xionghui Zhao +4
Deep learning-based crowd counting methods have achieved remarkable progress in recent years. However, in complex crowd scenarios, existing models still face challenges when adapti…
cs.CV2024
Restore Anything Model via Efficient Degradation Adaptation
Bin Ren, Eduard Zamfir, Zongwei Wu +6
With the proliferation of mobile devices, the need for an efficient model to restore any degraded image has become increasingly significant and impactful. Traditional approaches ty…