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20182023
most citedPointHop: An Explainable Machine Learning Method for Point Cloud Classification

103 citations · 446 across the 30 of their papers we have counts for

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8 papers · 1 filter

eess.IV2022

Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation

Chen Feng, Zihao Qi, Duolikun Danier +4

It is well known that high dynamic range (HDR) video can provide more immersive visual experiences compared to conventional standard dynamic range content. However, HDR content is…

eess.IV2021★ 1 cited

An Optimized H.266/VVC Software Decoder On Mobile Platform

Yiming Li, Shan Liu, Yu Chen +4

As the successor of H.265/HEVC, the new versatile video coding standard (H.266/VVC) can provide up to 50% bitrate saving with the same subjective quality, at the cost of increased…

eess.IV2020★ 4 cited

A software decoder implementation for H.266/VVC video coding standard

Bin Zhu, Shan Liu, Yuan Liu +8

Versatile Video Coding Standard (H.266/VVC) was completed by Joint Video Expert Team (JVET) of ITU-T and ISO/IEC, in July 2020. This new ITU recommendation/international standard i…

eess.IV2020★ 2 cited

Referenceless Rate-Distortion Modeling with Learning from Bitstream and Pixel Features

Yangfan Sun, Li Li, Zhu Li +1

Generally, adaptive bitrates for variable Internet bandwidths can be obtained through multi-pass coding. Referenceless prediction-based methods show practical benefits compared wit…

eess.IV2020

Linear Model based Geometry Coding for Lidar Acquired Point Clouds

Xiang Zhang, Wen Gao, Shan Liu

In this paper, we propose a new geometry coding method for point cloud compression (PCC), where the points can be fitted and represented by straight lines. The encoding of the line…

eess.IV2019★ 1 cited

Video-based compression for plenoptic point clouds

Li Li, Zhu Li, Shan Liu +1

The plenoptic point cloud that has multiple colors from various directions, is a more complete representation than the general point cloud that usually has only one color. It is mo…

eess.IV2019

C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network

Munan Xu, Junming Chen, Haiqiang Wang +3

Traditional video quality assessment (VQA) methods evaluate localized picture quality and video score is predicted by temporally aggregating frame scores. However, video quality ex…

eess.IV2019★ 1 cited

Residual-Guided In-Loop Filter Using Convolution Neural Network

Wei Jia, Li Li, Zhu Li +2

The block-based coding structure in the hybrid video coding framework inevitably introduces compression artifacts such as blocking, ringing, etc. To compensate for those artifacts,…