Yueru Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Subspace Learning

Handwritten Digits

Convolutional Neural Networks

Top Venues

J. Vis. Commun. Image Represent.

Publications

Jingshu Zhang, Yueru Chen, Guoqing Liu, Wei Gao, Ge Li
Efficient Point Cloud Attribute Compression Framework using Attribute-Guided Graph Fourier Transform. ICASSP (2024)
Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
LSR: A Light-Weight Super-Resolution Method. ICIP (2023)
Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
LSR++: An Efficient and Tiny Model for Image Super-Resolution. APSIPA ASC (2023)
Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
LSR: A Light-Weight Super-Resolution Method. CoRR (2023)
Yueru Chen, Jing Wang, Ge Li
A efficient predictive wavelet transform for LiDAR point cloud attribute compression. VCIP (2022)
Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C.-C. Jay Kuo
Unsupervised video object segmentation with distractor-aware online adaptation. J. Vis. Commun. Image Represent. 74 (2021)
Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification. CoRR (2020)
Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C.-C. Jay Kuo
Point Cloud Attribute Compression via Successive Subspace Graph Transform. CoRR (2020)
Ye Wang, Jongmoo Choi, Kaitai Zhang, Qin Huang, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
Video object tracking and segmentation with box annotation. Signal Process. Image Commun. 85 (2020)
Yingshen He, Ge Li, Yiting Shao, Jing Wang, Yueru Chen, Shan Liu
A point cloud compression framework via spherical projection. VCIP (2020)
Yueru Chen, C.-C. Jay Kuo
PixelHop: A successive subspace learning (SSL) method for object recognition. J. Vis. Commun. Image Represent. 70 (2020)
Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo
Pixelhop++: A Small Successive-Subspace-Learning-Based (Ssl-Based) Model For Image Classification. ICIP (2020)
Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C.-C. Jay Kuo
Point Cloud Attribute Compression via Successive Subspace Graph Transform. VCIP (2020)
Yueru Chen
Nonparametric Learning Via Successive Subspace Modeling (SSM). ICIP (2019)
Yueru Chen, C.-C. Jay Kuo
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification. CoRR (2019)
Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks. CoRR (2019)
C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen
Interpretable convolutional neural networks via feedforward design. J. Vis. Commun. Image Represent. 60 (2019)
Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo
Ensembles of feedforward-designed convolutional neural networks. CoRR (2019)
Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo
Ensembles of Feedforward-Designed Convolutional Neural Networks. ICIP (2019)
Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks. ICIP (2019)
Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo
An Interpretable Generative Model for Handwritten Digits Synthesis. ICIP (2019)
Yueru Chen, Zhuwei Xu, Shanshan Cai, Yujian Lang, C.-C. Jay Kuo
A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition. PCS (2018)
C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen
Interpretable Convolutional Neural Networks via Feedforward Design. CoRR (2018)
Ye Wang, Yueru Chen, Jongmoo Choi, C.-C. Jay Kuo
Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks. CoRR (2018)
Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C.-C. Jay Kuo
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation. ACCV (4) (2018)
Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo
An Interpretable Generative Model for Handwritten Digit Image Synthesis. CoRR (2018)
Abhishek Panigrahi, Yueru Chen, C.-C. Jay Kuo
Analysis on Gradient Propagation in Batch Normalized Residual Networks. CoRR (2018)
Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C.-C. Jay Kuo
Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation. CoRR (2018)
Sibo Song, Yueru Chen, Ngai-Man Cheung, C.-C. Jay Kuo
Defense Against Adversarial Attacks with Saak Transform. CoRR (2018)
Shanshan Cai, Zhuwei Xu, Zhichao Huang, Yueru Chen, C.-C. Jay Kuo
Enhancing CNN Incremental Learning Capability with an Expanded Network. ICME (2018)
Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C.-C. Jay Kuo
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation. CoRR (2018)
C.-C. Jay Kuo, Yueru Chen
On data-driven Saak transform. J. Vis. Commun. Image Represent. 50 (2018)
Yueru Chen, Pranav Aggarwal, Jongmoo Choi, C.-C. Jay Kuo
A deep learning approach to drone monitoring. APSIPA (2017)
Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo
Design, Analysis and Application of A Volumetric Convolutional Neural Network. CoRR (2017)
Yueru Chen, Zhuwei Xu, Shanshan Cai, Yujian Lang, C.-C. Jay Kuo
A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition. CoRR (2017)
Hao Xu, Yueru Chen, Ruiyuan Lin, C.-C. Jay Kuo
Understanding CNN via deep features analysis. APSIPA (2017)
Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo
Design, analysis and application of a volumetric convolutional neural network. J. Vis. Commun. Image Represent. 46 (2017)
Yueru Chen, Pranav Aggarwal, Jongmoo Choi, C.-C. Jay Kuo
A Deep Learning Approach to Drone Monitoring. CoRR (2017)
C.-C. Jay Kuo, Yueru Chen
On Data-Driven Saak Transform. CoRR (2017)
Chen Chen, Shangwen Li, Xiang Fu, Yuzhuo Ren, Yueru Chen, C.-C. Jay Kuo
Exploring confusing scene classes for the places dataset: Insights and solutions. APSIPA (2017)
Chun-Ting Huang, Yueru Chen, Ruiyuan Lin, C.-C. Jay Kuo
Age/gender classification with whole-component convolutional neural networks (WC-CNN). APSIPA (2017)
Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo
3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR). CoRR (2017)
Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo
3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR). ACCV Workshops (1) (2016)