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20192026
most citedDuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain

35 citations · 75 across the 21 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 6 cited

DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples

Yi Xu, Jiandong Ding, Lu Zhang +1

The scarcity of labeled data is a critical obstacle to deep learning. Semi-supervised learning (SSL) provides a promising way to leverage unlabeled data by pseudo labels. However,…

cs.CL2021★ 1 cited

Weakly-supervised Text Classification Based on Keyword Graph

Lu Zhang, Jiandong Ding, Yi Xu +2

Weakly-supervised text classification has received much attention in recent years for it can alleviate the heavy burden of annotating massive data. Among them, keyword-driven metho…

eess.IV2021★ 2 cited

Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction

Minyi Zhao, Yi Xu, Shuigeng Zhou

A number of deep learning based algorithms have been proposed to recover high-quality videos from low-quality compressed ones. Among them, some restore the missing details of each…

cs.CV2021

ICDAR 2021 Competition on Scene Video Text Spotting

Zhanzhan Cheng, Jing Lu, Baorui Zou +2

Scene video text spotting (SVTS) is a very important research topic because of many real-life applications. However, only a little effort has put to spotting scene video text, in c…

eess.IV2021★ 4 cited

Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information

Yi Xu, Minyi Zhao, Jing Liu +4

Many deep learning based video compression artifact removal algorithms have been proposed to recover high-quality videos from low-quality compressed videos. Recently, methods were…

cs.CV2021

Federated Face Recognition

Fan Bai, Jiaxiang Wu, Pengcheng Shen +2

Face recognition has been extensively studied in computer vision and artificial intelligence communities in recent years. An important issue of face recognition is data privacy, wh…