most citedEnd-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks

52 citations · 52 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2025

AM-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action Recognition

Zilin Gao, Qilong Wang, Bingbing Zhang +2

Thanks to capability to alleviate the cost of large-scale annotation, few-shot action recognition (FSAR) has attracted increased attention of researchers in recent years. Existing…

cs.CV2024★ 5 cited

Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation

Jiaming Lv, Haoyuan Yang, Peihua Li

Since pioneering work of Hinton et al., knowledge distillation based on Kullback-Leibler Divergence (KL-Div) has been predominant, and recently its variants have achieved compellin…

cs.CV2016★ 52 cited

End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks

Yifan Wang, Lijun Wang, Hongyu Wang +1

One impressive advantage of convolutional neural networks (CNNs) is their ability to automatically learn feature representation from raw pixels, eliminating the need for hand-desig…