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20172020
most citedA Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition

5 citations · 14 across the 12 of their papers we have counts for

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14 papers · 1 filter

cs.CV2020

Point Cloud Attribute Compression via Successive Subspace Graph Transform

Yueru Chen, Yiting Shao, Jing Wang +2

Inspired by the recently proposed successive subspace learning (SSL) principles, we develop a successive subspace graph transform (SSGT) to address point cloud attribute compressio…

cs.CV20191 cited

Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks

Yueru Chen, Yijing Yang, Min Zhang +1

A semi-supervised learning framework using the feedforward-designed convolutional neural networks (FF-CNNs) is proposed for image classification in this work. One unique property o…

cs.CV20191 cited

Ensembles of feedforward-designed convolutional neural networks

Yueru Chen, Yijing Yang, Wei Wang +1

An ensemble method that fuses the output decision vectors of multiple feedforward-designed convolutional neural networks (FF-CNNs) to solve the image classification problem is prop…

cs.CV2018

Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks

Ye Wang, Yueru Chen, Jongmoo Choi +1

This paper reports a visible and thermal drone monitoring system that integrates deep-learning-based detection and tracking modules. The biggest challenge in adopting deep learning…

cs.CV20181 cited

Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation

Ye Wang, Jongmoo Choi, Yueru Chen +5

Unsupervised video object segmentation is a crucial application in video analysis without knowing any prior information about the objects. It becomes tremendously challenging when…

cs.CV20181 cited

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

Ye Wang, Jongmoo Choi, Yueru Chen +4

One major technique debt in video object segmentation is to label the object masks for training instances. As a result, we propose to prepare inexpensive, yet high quality pseudo g…