Yueru Chen

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University of Southern California

Point Cloud Attribute Compression via Successive Subspace Graph Transform

Inspired by the recently proposed successive subspace learning (SSL) pri...
10/29/2020 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification

The successive subspace learning (SSL) principle was developed and used ...
02/08/2020 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification

A new machine learning methodology, called successive subspace learning ...
09/17/2019 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks

A semi-supervised learning framework using the feedforward-designed conv...
02/06/2019 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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Ensembles of feedforward-designed convolutional neural networks

An ensemble method that fuses the output decision vectors of multiple fe...
01/08/2019 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks

This paper reports a visible and thermal drone monitoring system that in...
12/19/2018 ∙ by Ye Wang, et al. ∙ 8 ∙ share

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Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation

Unsupervised video object segmentation is a crucial application in video...
12/19/2018 ∙ by Ye Wang, et al. ∙ 12 ∙ share

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Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation

One major technique debt in video object segmentation is to label the ob...
12/13/2018 ∙ by Ye Wang, et al. ∙ 2 ∙ share

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Analysis on Gradient Propagation in Batch Normalized Residual Networks

We conduct mathematical analysis on the effect of batch normalization (B...
12/02/2018 ∙ by Abhishek Panigrahi, et al. ∙ 0 ∙ share

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An Interpretable Generative Model for Handwritten Digit Image Synthesis

An interpretable generative model for handwritten digits synthesis is pr...
11/11/2018 ∙ by Yao Zhu, et al. ∙ 16 ∙ share

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Interpretable Convolutional Neural Networks via Feedforward Design

The model parameters of convolutional neural networks (CNNs) are determi...
10/05/2018 ∙ by C. -C. Jay Kuo, et al. ∙ 16 ∙ share

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Defense Against Adversarial Attacks with Saak Transform

Deep neural networks (DNNs) are known to be vulnerable to adversarial pe...
08/06/2018 ∙ by Sibo Song, et al. ∙ 0 ∙ share

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A Deep Learning Approach to Drone Monitoring

A drone monitoring system that integrates deep-learning-based detection ...
12/04/2017 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition

An efficient, scalable and robust approach to the handwritten digits rec...
10/29/2017 ∙ by Yueru Chen, et al. ∙ 0 ∙ share

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On Data-Driven Saak Transform

Being motivated by the multilayer RECOS (REctified-COrrelations on a Sph...
10/11/2017 ∙ by C. -C. Jay Kuo, et al. ∙ 0 ∙ share

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Design, Analysis and Application of A Volumetric Convolutional Neural Network

The design, analysis and application of a volumetric convolutional neura...
02/01/2017 ∙ by Xiaqing Pan, et al. ∙ 0 ∙ share

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3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR)

A novel solution for the content-based 3D shape retrieval problem using ...
01/30/2017 ∙ by Xiaqing Pan, et al. ∙ 0 ∙ share

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Yueru Chen

Featured Co-authors

Wei Wang

C. -C. Jay Kuo

Min Zhang

Ge Li

Jing Wang

Ngai-Man Cheung

Ye Wang

Qin Huang

Suya You

Yao Zhu

Jongmoo Choi

Point Cloud Attribute Compression via Successive Subspace Graph Transform

PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification

PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification

Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks

Ensembles of feedforward-designed convolutional neural networks

Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks

Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation

Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation

Analysis on Gradient Propagation in Batch Normalized Residual Networks

An Interpretable Generative Model for Handwritten Digit Image Synthesis

Interpretable Convolutional Neural Networks via Feedforward Design

Defense Against Adversarial Attacks with Saak Transform

A Deep Learning Approach to Drone Monitoring

A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition

On Data-Driven Saak Transform

Design, Analysis and Application of A Volumetric Convolutional Neural Network

3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR)