b'Zhu Li'

research

∙ 07/20/2023

Nonlinear Meta-Learning Can Guarantee Faster Rates

Many recent theoretical works on meta-learning aim to achieve guarantees...

0 Dimitri Meunier, et al. ∙

research

∙ 05/09/2023

Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching

3D dynamic point cloud (DPC) compression relies on mining its temporal c...

0 Shuting Xia, et al. ∙

research

∙ 09/26/2022

Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression

The non-uniform distribution and extremely sparse nature of the LiDAR po...

0 Tingyu Fan, et al. ∙

research

∙ 08/02/2022

Optimal Rates for Regularized Conditional Mean Embedding Learning

We address the consistency of a kernel ridge regression estimate of the ...

0 Zhu Li, et al. ∙

research

∙ 07/25/2022

Inter-Frame Compression for Dynamic Point Cloud Geometry Coding

Efficient point cloud compression is essential for applications like vir...

0 Anique Akhtar, et al. ∙

research

∙ 05/31/2022

Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems

With the growing popularity of artificial intelligence and machine learn...

0 Zeyan Liu, et al. ∙

research

∙ 05/02/2022

D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction

The non-uniformly distributed nature of the 3D dynamic point cloud (DPC)...

0 Tingyu Fan, et al. ∙

research

∙ 11/20/2021

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

This study develops a unified Point Cloud Geometry (PCG) compression met...

3 Jianqiang Wang, et al. ∙

research

∙ 11/15/2021

Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data

Recent advancements in end-to-end speech synthesis have made it possible...

0 Zhu Li, et al. ∙

research

∙ 09/22/2021

Sharp Analysis of Random Fourier Features in Classification

We study the theoretical properties of random Fourier features classific...

0 Zhu Li, et al. ∙

research

∙ 08/09/2021

No-Reference Image Quality Assessment by Hallucinating Pristine Features

In this paper, we propose a no-reference (NR) image quality assessment (...

0 Baoliang Chen, et al. ∙

research

∙ 07/29/2021

Video-based Point Cloud Compression Artifact Removal

Photo-realistic point cloud capture and transmission are the fundamental...

0 Anique Akhtar, et al. ∙

research

∙ 06/15/2021

A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification

In this paper, we propose a transfer-learning based model construction t...

0 Md. Adnan Arefeen, et al. ∙

research

∙ 06/06/2021

Towards an Understanding of Benign Overfitting in Neural Networks

Modern machine learning models often employ a huge number of parameters ...

15 Zhu Li, et al. ∙

research

∙ 11/07/2020

Multiscale Point Cloud Geometry Compression

Recent years have witnessed the growth of point cloud based applications...

0 Jianqiang Wang, et al. ∙

research

∙ 09/26/2020

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...

0 Rijun Liao, et al. ∙

research

∙ 08/06/2020

Benign Overfitting and Noisy Features

Modern machine learning often operates in the regime where the number of...

21 Zhu Li, et al. ∙

research

∙ 05/31/2020

Inferring Point Cloud Quality via Graph Similarity

We propose the GraphSIM – an objective metric to accurately predict the ...

0 Qi Yang, et al. ∙

research

∙ 05/25/2020

Hyperspectral Image Classification with Attention Aided CNNs

Convolutional neural networks (CNNs) have been widely used for hyperspec...

14 Renlong Hang, et al. ∙

research

∙ 03/13/2020

Dual Temporal Memory Network for Efficient Video Object Segmentation

Video Object Segmentation (VOS) is typically formulated in a semi-superv...

3 Kaihua Zhang, et al. ∙

research

∙ 02/04/2020

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

In this paper, we propose an efficient and effective framework to fuse h...

15 Renlong Hang, et al. ∙

research

∙ 11/11/2019

Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness

Current adoption of machine learning in industrial, societal and economi...

20 Zhu Li, et al. ∙

research

∙ 11/06/2019

Localization-aware Channel Pruning for Object Detection

Channel pruning is one of the important methods for deep model compressi...

11 Zihao Xie, et al. ∙

research

∙ 11/04/2019

Video-based compression for plenoptic point clouds

The plenoptic point cloud that has multiple colors from various directio...

0 Li Li, et al. ∙

research

∙ 04/18/2019

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

Point cloud is a fundamental 3D representation which is widely used in r...

0 Wei Yan, et al. ∙

research

∙ 02/11/2019

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

The state-of-the-art video-based point cloud compression scheme projects...

0 Li Li, et al. ∙

research

∙ 06/24/2018

A Unified Analysis of Random Fourier Features

We provide the first unified theoretical analysis of supervised learning...

0 Zhu Li, et al. ∙

research

∙ 04/28/2018

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...

0 Yiting Shao, et al. ∙

research

∙ 10/10/2017

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

3D sensing and content capture have made significant progress in recent ...

0 Yiting Shao, et al. ∙

research

∙ 09/10/2017

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

Emotion recognition from facial expressions is tremendously useful, espe...

1 Bowen Cheng, et al. ∙

research

∙ 04/27/2017

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...

0 Li Li, et al. ∙

research

∙ 02/21/2017

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

This paper proposes a novel advanced motion model to handle the irregula...

0 Li Li, et al. ∙

Zhu Li

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