Search Results for author: Guangyu Li

Found 10 papers, 0 papers with code

Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking

no code implementations14 Sep 2022 Haobo Jiang, Kaihao Lan, Le Hui, Guangyu Li, Jin Xie, Jian Yang

The core of Siamese feature matching is how to assign high feature similarity on the corresponding points between the template and search area for precise object localization.

Object Localization Object Tracking +1

Hyperspectral Image Classification With Contrastive Graph Convolutional Network

no code implementations11 May 2022 Wentao Yu, Sheng Wan, Guangyu Li, Jian Yang, Chen Gong

To enhance the feature representation ability, in this paper, a GCN model with contrastive learning is proposed to explore the supervision signals contained in both spectral information and spatial relations, which is termed Contrastive Graph Convolutional Network (ConGCN), for HSI classification.

Classification Contrastive Learning +2

Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning

no code implementations14 Jan 2021 Tongyu Zong, Chen Li, Yuanyuan Lei, Guangyu Li, Houwei Cao, Yong liu

In this paper, we propose Cocktail Edge Caching, that tackles the dynamic popularity and heterogeneity through ensemble learning.

Ensemble Learning Time Series +1

Time Series Counterfactual Inference with Hidden Confounders

no code implementations1 Jan 2021 Guangyu Li, Jiahao Chen, Samuel A Assefa, Yan Liu

We present augmented counterfactual ordinary differential equations (ACODEs), a new approach to counterfactual inference on time series data with a focus on healthcare applications.

Counterfactual Inference Gaussian Processes +2

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network

no code implementations26 Sep 2019 Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang

In hyperspectral image (HSI) classification, spatial context has demonstrated its significance in achieving promising performance.

Classification General Classification +1

D$^2$-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios

no code implementations3 Apr 2019 Zhengping Che, Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye

Driving datasets accelerate the development of intelligent driving and related computer vision technologies, while substantial and detailed annotations serve as fuels and powers to boost the efficacy of such datasets to improve learning-based models.

Big Data Meet Cyber-Physical Systems: A Panoramic Survey

no code implementations29 Oct 2018 Rachad Atat, Lingjia Liu, Jinsong Wu, Guangyu Li, Chunxuan Ye, Yang Yi

{Thus, we also} provide an overview of the different security solutions proposed for CPS big data storage, access and analytics.

Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series

no code implementations ICML 2018 Zhengping Che, Sanjay Purushotham, Guangyu Li, Bo Jiang, Yan Liu

Multi-Rate Multivariate Time Series (MR-MTS) are the multivariate time series observations which come with various sampling rates and encode multiple temporal dependencies.

Time Series Time Series Analysis

Tensor Regression Meets Gaussian Processes

no code implementations31 Oct 2017 Rose Yu, Guangyu Li, Yan Liu

Low-rank tensor regression, a new model class that learns high-order correlation from data, has recently received considerable attention.

Bayesian Inference Gaussian Processes +1

Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising

no code implementations ICCV 2015 Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma

Patch-based low-rank models have shown effective in exploiting spatial redundancy of natural images especially for the application of image denoising.

Dictionary Learning Image Denoising

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