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20122026
most citedImage and Video Compression with Neural Networks: A Review

462 citations · 1.9k across the 105 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

eess.IV2019★ 25 cited

Recent Advances on HEVC Inter-frame Coding: From Optimization to Implementation and Beyond

Yongfei Zhang, Chao Zhang, Rui Fan +3

High Efficiency Video Coding (HEVC) has doubled the video compression ratio with equivalent subjective quality as compared to its predecessor H.264/AVC. The significant coding effi…

cs.MM2019★ 3 cited

UGC-VIDEO: perceptual quality assessment of user-generated videos

Yang Li, Shengbin Meng, Xinfeng Zhang +3

Recent years have witnessed an ever-expandingvolume of user-generated content (UGC) videos available on the Internet. Nevertheless, progress on perceptual quality assessmentof UGC…

cs.MM2019★ 3 cited

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★ 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…

cs.CV2019

Self-critical n-step Training for Image Captioning

Junlong Gao, Shiqi Wang, Shanshe Wang +2

Existing methods for image captioning are usually trained by cross entropy loss, which leads to exposure bias and the inconsistency between the optimizing function and evaluation m…

cs.CV2019★ 462 cited

Image and Video Compression with Neural Networks: A Review

Siwei Ma, Xinfeng Zhang, Chuanmin Jia +3

In recent years, the image and video coding technologies have advanced by leaps and bounds. However, due to the popularization of image and video acquisition devices, the growth ra…