14 citations · 21 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 7 cited
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Xinzhe Ni, Yong Liu, Hao Wen +3
Current methods for few-shot action recognition mainly fall into the metric learning framework following ProtoNet, which demonstrates the importance of prototypes. Although they ac…
cs.CV2022★ 14 cited
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution
Yifeng Zhou, Chuming Lin, Donghao Luo +4
To achieve promising results on blind image super-resolution (SR), some attempts leveraged the low resolution (LR) images to predict the kernel and improve the SR performance. Howe…
cs.CV2018
Adaptive Re-ranking of Deep Feature for Person Re-identification
Yong Liu, Lin Shang, Andy Song
Typical person re-identification (re-ID) methods train a deep CNN to extract deep features and combine them with a distance metric for the final evaluation. In this work, we focus…