282 citations · 812 across the 27 of their papers we have counts for
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cs.CV2022★ 18 cited
SKFlow: Learning Optical Flow with Super Kernels
Shangkun Sun, Yuanqi Chen, Yu Zhu +2
Optical flow estimation is a classical yet challenging task in computer vision. One of the essential factors in accurately predicting optical flow is to alleviate occlusions betwee…
cs.CV2022
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition
Fanglei Xue, Zichang Tan, Yu Zhu +2
Facial expression recognition plays an important role in human-computer interaction. In this paper, we propose the Coarse-to-Fine Cascaded network with Smooth Predicting (CFC-SP) t…
cs.CV2015
Fidelity-Naturalness Evaluation of Single Image Super Resolution
Xuan Dong, Yu Zhu, Weixin Li +3
We study the problem of evaluating super resolution methods. Traditional evaluation methods usually judge the quality of super resolved images based on a single measure of their di…