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20192023
most citedAdaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment

12 citations · 49 across the 12 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…

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.MM2021★ 4 cited

Dance Generation with Style Embedding: Learning and Transferring Latent Representations of Dance Styles

Xinjian Zhang, Yi Xu, Su Yang +2

Choreography refers to creation of dance steps and motions for dances according to the latent knowledge in human mind, where the created dance motions are in general style-specific…

eess.IV2021★ 4 cited

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

Ren Yang, Radu Timofte, Jing Liu +69

This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…