464 citations · 644 across the 18 of their papers we have counts for
18 papers
Video-based Point Cloud Compression Artifact Removal
Anique Akhtar, Wen Gao, Li Li +3
Photo-realistic point cloud capture and transmission are the fundamental enablers for immersive visual communication. The coding process of dynamic point clouds, especially video-b…
Multiscale Point Cloud Geometry Compression
Jianqiang Wang, Dandan Ding, Zhu Li +1
Recent years have witnessed the growth of point cloud based applications because of its realistic and fine-grained representation of 3D objects and scenes. However, it is a challen…
Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN
Rijun Liao, Weizhi An, Shiqi Yu +2
Gait recognition has proven to be effective for long-distance human recognition. But view variance of gait features would change human appearance greatly and reduce its performance…
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…
Inferring Point Cloud Quality via Graph Similarity
Qi Yang, Zhan Ma, Yiling Xu +2
We propose the GraphSIM -- an objective metric to accurately predict the subjective quality of point cloud with superimposed geometry and color impairments. Motivated by the facts…
Dual Temporal Memory Network for Efficient Video Object Segmentation
Kaihua Zhang, Long Wang, Dong Liu +3
Video Object Segmentation (VOS) is typically formulated in a semi-supervised setting. Given the ground-truth segmentation mask on the first frame, the task of VOS is to track and s…
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
Renlong Hang, Zhu Li, Pedram Ghamisi +3
In this paper, we propose an efficient and effective framework to fuse hyperspectral and Light Detection And Ranging (LiDAR) data using two coupled convolutional neural networks (C…
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…
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,…
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
Wei Yan, Yiting shao, Shan Liu +3
Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving. As a newly-developed media format which is characterized…
Occupancy-map-based rate distortion optimization for video-based point cloud compression
Li Li, Zhu Li, Shan Liu +1
The state-of-the-art video-based point cloud compression scheme projects the 3D point cloud to 2D patch by patch and organizes the patches into frames to compress them using the ef…
Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction
Yiting Shao, Qi Zhang, Ge Li +1
Point cloud compression is a key enabler for the emerging applications of immersive visual communication, autonomous driving and smart cities, etc. In this paper, we propose a hybr…
Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform
Yiting Shao, Zhaobin Zhang, Zhu Li +2
3D sensing and content capture have made significant progress in recent years and the MPEG standardization organization is launching a new project on immersive media with point clo…
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach
Bowen Cheng, Zhangyang Wang, Zhaobin Zhang +5
Emotion recognition from facial expressions is tremendously useful, especially when coupled with smart devices and wireless multimedia applications. However, the inadequate network…
Co-projection-plane based 3-D padding for polyhedron projection for 360-degree video
Li Li, Zhu Li, Xiang Ma +2
The polyhedron projection for 360-degree video is becoming more and more popular since it can lead to much less geometry distortion compared with the equirectangular projection. Ho…
An Efficient Four-Parameter Affine Motion Model for Video Coding
Li Li, Houqiang Li, Dong Liu +4
In this paper, we study a simplified affine motion model based coding framework to overcome the limitation of translational motion model and maintain low computational complexity.…
Projection based advanced motion model for cubic mapping for 360-degree video
Li Li, Zhu Li, Madhukar Budagavi +1
This paper proposes a novel advanced motion model to handle the irregular motion for the cubic map projection of 360-degree video. Since the irregular motion is mainly caused by th…
Pseudo Sequence based 2-D hierarchical reference structure for Light-Field Image Compression
Li Li, Zhu Li, Bin Li +2
In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light…