Zhu Li

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University of Missouri-Kansas City

Multiscale Point Cloud Geometry Compression

Recent years have witnessed the growth of point cloud based applications...
11/07/2020 ∙ by Jianqiang Wang, et al. ∙ 0 ∙ share

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Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN

Gait recognition has proven to be effective for long-distance human reco...
09/26/2020 ∙ by Rijun Liao, et al. ∙ 0 ∙ share

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Benign Overfitting and Noisy Features

Modern machine learning often operates in the regime where the number of...
08/06/2020 ∙ by Zhu Li, et al. ∙ 21 ∙ share

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Inferring Point Cloud Quality via Graph Similarity

We propose the GraphSIM – an objective metric to accurately predict the ...
05/31/2020 ∙ by Qi Yang, et al. ∙ 0 ∙ share

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Hyperspectral Image Classification with Attention Aided CNNs

Convolutional neural networks (CNNs) have been widely used for hyperspec...
05/25/2020 ∙ by Renlong Hang, et al. ∙ 14 ∙ share

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Dual Temporal Memory Network for Efficient Video Object Segmentation

Video Object Segmentation (VOS) is typically formulated in a semi-superv...
03/13/2020 ∙ by Kaihua Zhang, et al. ∙ 3 ∙ share

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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

In this paper, we propose an efficient and effective framework to fuse h...
02/04/2020 ∙ by Renlong Hang, et al. ∙ 15 ∙ share

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Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness

Current adoption of machine learning in industrial, societal and economi...
11/11/2019 ∙ by Zhu Li, et al. ∙ 20 ∙ share

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Localization-aware Channel Pruning for Object Detection

Channel pruning is one of the important methods for deep model compressi...
11/06/2019 ∙ by Zihao Xie, et al. ∙ 11 ∙ share

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Video-based compression for plenoptic point clouds

The plenoptic point cloud that has multiple colors from various directio...
11/04/2019 ∙ by Li Li, et al. ∙ 0 ∙ share

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Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

Point cloud is a fundamental 3D representation which is widely used in r...
04/18/2019 ∙ by Wei Yan, et al. ∙ 0 ∙ share

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Occupancy-map-based rate distortion optimization for video-based point cloud compression

The state-of-the-art video-based point cloud compression scheme projects...
02/11/2019 ∙ by Li Li, et al. ∙ 0 ∙ share

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A Unified Analysis of Random Fourier Features

We provide the first unified theoretical analysis of supervised learning...
06/24/2018 ∙ by Zhu Li, et al. ∙ 0 ∙ share

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Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction

Point cloud compression is a key enabler for the emerging applications o...
04/28/2018 ∙ by Yiting Shao, et al. ∙ 0 ∙ share

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Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform

3D sensing and content capture have made significant progress in recent ...
10/10/2017 ∙ by Yiting Shao, et al. ∙ 0 ∙ share

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Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Emotion recognition from facial expressions is tremendously useful, espe...
09/10/2017 ∙ by Bowen Cheng, et al. ∙ 1 ∙ share

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Co-projection-plane based 3-D padding for polyhedron projection for 360-degree video

The polyhedron projection for 360-degree video is becoming more and more...
04/27/2017 ∙ by Li Li, et al. ∙ 0 ∙ share

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Projection based advanced motion model for cubic mapping for 360-degree video

This paper proposes a novel advanced motion model to handle the irregula...
02/21/2017 ∙ by Li Li, et al. ∙ 0 ∙ share

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Zhu Li

Featured Co-authors

Zhangyang Wang

Bo Liu

Li Li

Qi Zhang

Thomas S. Huang

Ge Li

Dong Liu

Houqiang Li

Jun Sun

Gustau Camps-Valls

Dino Sejdinovic

Multiscale Point Cloud Geometry Compression

Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN

Benign Overfitting and Noisy Features

Inferring Point Cloud Quality via Graph Similarity

Hyperspectral Image Classification with Attention Aided CNNs

Dual Temporal Memory Network for Efficient Video Object Segmentation

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness

Localization-aware Channel Pruning for Object Detection

Video-based compression for plenoptic point clouds

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

Occupancy-map-based rate distortion optimization for video-based point cloud compression

A Unified Analysis of Random Fourier Features

Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction

Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform

Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Co-projection-plane based 3-D padding for polyhedron projection for 360-degree video

Projection based advanced motion model for cubic mapping for 360-degree video