5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 2 cited
Activating Wider Areas in Image Super-Resolution
Cheng Cheng, Hang Wang, Hongbin Sun
The prevalence of convolution neural networks (CNNs) and vision transformers (ViTs) has markedly revolutionized the area of single-image super-resolution (SISR). To further boost t…
cs.CV2023
Exploiting Facial Relationships and Feature Aggregation for Multi-Face Forgery Detection
Chenhao Lin, Fangbin Yi, Hang Wang +3
Face forgery techniques have emerged as a forefront concern, and numerous detection approaches have been proposed to address this challenge. However, existing methods predominantly…
cs.CV2023★ 5 cited
Omni Aggregation Networks for Lightweight Image Super-Resolution
Hang Wang, Xuanhong Chen, Bingbing Ni +2
While lightweight ViT framework has made tremendous progress in image super-resolution, its uni-dimensional self-attention modeling, as well as homogeneous aggregation scheme, limi…