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02/27/2023
LSR: A Light-Weight Super-Resolution Method
A light-weight super-resolution (LSR) method from a single image targeti...
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10/29/2020
Point Cloud Attribute Compression via Successive Subspace Graph Transform
Inspired by the recently proposed successive subspace learning (SSL) pri...
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02/08/2020
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification
The successive subspace learning (SSL) principle was developed and used ...
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09/17/2019
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification
A new machine learning methodology, called successive subspace learning ...
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02/06/2019
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks
A semi-supervised learning framework using the feedforward-designed conv...
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01/08/2019
Ensembles of feedforward-designed convolutional neural networks
An ensemble method that fuses the output decision vectors of multiple fe...
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12/19/2018
Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks
This paper reports a visible and thermal drone monitoring system that in...
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12/19/2018
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation
Unsupervised video object segmentation is a crucial application in video...
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12/13/2018
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...
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12/02/2018
Analysis on Gradient Propagation in Batch Normalized Residual Networks
We conduct mathematical analysis on the effect of batch normalization (B...
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11/11/2018
An Interpretable Generative Model for Handwritten Digit Image Synthesis
An interpretable generative model for handwritten digits synthesis is pr...
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10/05/2018
Interpretable Convolutional Neural Networks via Feedforward Design
The model parameters of convolutional neural networks (CNNs) are determi...
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08/06/2018
Defense Against Adversarial Attacks with Saak Transform
Deep neural networks (DNNs) are known to be vulnerable to adversarial pe...
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12/04/2017
A Deep Learning Approach to Drone Monitoring
A drone monitoring system that integrates deep-learning-based detection ...
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10/29/2017
A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition
An efficient, scalable and robust approach to the handwritten digits rec...
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10/11/2017
On Data-Driven Saak Transform
Being motivated by the multilayer RECOS (REctified-COrrelations on a Sph...
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02/01/2017
Design, Analysis and Application of A Volumetric Convolutional Neural Network
The design, analysis and application of a volumetric convolutional neura...
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01/30/2017