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20152022
most citedSingle Image Blind Deblurring Using Multi-Scale Latent Structure Prior

95 citations · 380 across the 29 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.MM2019★ 12 cited

A Knowledge-Driven Quality-of-Experience Model for Adaptive Streaming Videos

Zhengfang Duanmu, Wentao Liu, Diqi Chen +4

The fundamental conflict between the enormous space of adaptive streaming videos and the limited capacity for subjective experiment casts significant challenges to objective Qualit…

cs.MM2019

Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds

Yiqun Xu, Wei Hu, Shanshe Wang +5

As 3D scanning devices and depth sensors advance, dynamic point clouds have attracted increasing attention as a format for 3D objects in motion, with applications in various fields…

cs.CV2019

Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm

Yihang Lou, Ling-Yu Duan, Yong Luo +4

The digital retina in smart cities is to select what the City Eye tells the City Brain, and convert the acquired visual data from front-end visual sensors to features in an intelli…

eess.SP2019

Fast Graph Sampling Set Selection Using Gershgorin Disc Alignment

Yuanchao Bai, Fen Wang, Gene Cheung +2

Graph sampling set selection, where a subset of nodes are chosen to collect samples to reconstruct a smooth graph signal, is a fundamental problem in graph signal processing (GSP).…

cs.CV2019★ 95 cited

Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior

Yuanchao Bai, Huizhu Jia, Ming Jiang +3

Blind image deblurring is a challenging problem in computer vision, which aims to restore both the blur kernel and the latent sharp image from only a blurry observation. Inspired b…

cs.CV2019★ 25 cited

Masked Non-Autoregressive Image Captioning

Junlong Gao, Xi Meng, Shiqi Wang +4

Existing captioning models often adopt the encoder-decoder architecture, where the decoder uses autoregressive decoding to generate captions, such that each token is generated sequ…