Search Results for author: Zhu Li

Found 21 papers, 5 papers with code

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

2 code implementations20 Nov 2021 Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, Zhan Ma

This study develops a unified Point Cloud Geometry (PCG) compression method through Sparse Tensor Processing (STP) based multiscale representation of voxelized PCG, dubbed as the SparsePCGC.

Sharp Analysis of Random Fourier Features in Classification

no code implementations22 Sep 2021 Zhu Li

Utilizing the regularity condition, we show for the first time that random Fourier features classification can achieve $O(1/\sqrt{n})$ learning rate with only $\Omega(\sqrt{n} \log n)$ features, as opposed to $\Omega(n)$ features suggested by previous results.

No-Reference Image Quality Assessment by Hallucinating Pristine Features

1 code implementation9 Aug 2021 Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, Zhu Li

In this paper, we propose a no-reference (NR) image quality assessment (IQA) method via feature level pseudo-reference (PR) hallucination.

No-Reference Image Quality Assessment

Towards an Understanding of Benign Overfitting in Neural Networks

no code implementations6 Jun 2021 Zhu Li, Zhi-Hua Zhou, Arthur Gretton

Modern machine learning models often employ a huge number of parameters and are typically optimized to have zero training loss; yet surprisingly, they possess near-optimal prediction performance, contradicting classical learning theory.

Learning Theory

Effective Subspace Indexing via Interpolation on Stiefel and Grassmann manifolds

no code implementations1 Jan 2021 Wenqing Hu, Tiefeng Jiang, Zhu Li

We propose a novel local Subspace Indexing Model with Interpolation (SIM-I) for low-dimensional embedding of image datasets.

Multiscale Point Cloud Geometry Compression

3 code implementations7 Nov 2020 Jianqiang Wang, Dandan Ding, Zhu Li, Zhan Ma

Recent years have witnessed the growth of point cloud based applications because of its realistic and fine-grained representation of 3D objects and scenes.

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

no code implementations26 Sep 2020 Rijun Liao, Weizhi An, Shiqi Yu, Zhu Li, Yongzhen Huang

In this paper, we, therefore, introduce a Dense-View GEIs Set (DV-GEIs) to deal with the challenge of limited view angles.

Gait Recognition

Benign Overfitting and Noisy Features

no code implementations6 Aug 2020 Zhu Li, Weijie Su, Dino Sejdinovic

Modern machine learning often operates in the regime where the number of parameters is much higher than the number of data points, with zero training loss and yet good generalization, thereby contradicting the classical bias-variance trade-off.

Inferring Point Cloud Quality via Graph Similarity

1 code implementation31 May 2020 Qi Yang, Zhan Ma, Yiling Xu, Zhu Li, Jun Sun

We propose the GraphSIM -- an objective metric to accurately predict the subjective quality of point cloud with superimposed geometry and color impairments.

Graph Similarity

Hyperspectral Image Classification with Attention Aided CNNs

1 code implementation25 May 2020 Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya

Specifically, a spectral attention sub-network and a spatial attention sub-network are proposed for spectral and spatial classification, respectively.

Classification Of Hyperspectral Images General Classification +1

Dual Temporal Memory Network for Efficient Video Object Segmentation

no code implementations13 Mar 2020 Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li

We present an end-to-end network which stores short- and long-term video sequence information preceding the current frame as the temporal memories to address the temporal modeling in VOS.

One-shot visual object segmentation Semantic Segmentation +2

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

no code implementations4 Feb 2020 Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu

For the feature-level fusion, three different fusion strategies are evaluated, including the concatenation strategy, the maximization strategy, and the summation strategy.

General Classification

Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness

no code implementations11 Nov 2019 Zhu Li, Adrian Perez-Suay, Gustau Camps-Valls, Dino Sejdinovic

We present a regularization approach to this problem that trades off predictive accuracy of the learned models (with respect to biased labels) for the fairness in terms of statistical parity, i. e. independence of the decisions from the sensitive covariates.

Crime Prediction Fairness +1

Residual-Guided In-Loop Filter Using Convolution Neural Network

no code implementations29 Jul 2019 Wei Jia, Li Li, Zhu Li, Xiang Zhang, Shan Liu

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

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

no code implementations18 Apr 2019 Wei Yan, Yiting shao, Shan Liu, Thomas H. Li, Zhu Li, Ge Li

Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving.

Autonomous Driving Image Compression

Towards A Unified Analysis of Random Fourier Features

no code implementations24 Jun 2018 Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic

We study both the standard random Fourier features method for which we improve the existing bounds on the number of features required to guarantee the corresponding minimax risk convergence rate of kernel ridge regression, as well as a data-dependent modification which samples features proportional to \emph{ridge leverage scores} and further reduces the required number of features.

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

no code implementations28 Apr 2018 Yiting Shao, Qi Zhang, Ge Li, Zhu Li

In intra-frame compression of point cloud color attributes, results demonstrate that our method performs better than the state-of-the-art region-adaptive hierarchical transform (RAHT) system, and on average a 29. 37$\%$ BD-rate gain is achieved.


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

no code implementations10 Sep 2017 Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang

Emotion recognition from facial expressions is tremendously useful, especially when coupled with smart devices and wireless multimedia applications.

Emotion Recognition Super-Resolution

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

no code implementations21 Feb 2017 Li Li, Zhu Li, Madhukar Budagavi, Houqiang Li

This paper proposes a novel advanced motion model to handle the irregular motion for the cubic map projection of 360-degree video.

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