Yueru Chen

According to our database, Yueru Chen authored at least 29 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LSR: A Light-Weight Super-Resolution Method.

Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo

Proceedings of the IEEE International Conference on Image Processing, 2023

LSR++: An Efficient and Tiny Model for Image Super-Resolution.

Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

A efficient predictive wavelet transform for LiDAR point cloud attribute compression.

Yueru Chen, Jing Wang, Ge Li

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

2021

Unsupervised video object segmentation with distractor-aware online adaptation.

Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C.-C. Jay Kuo

J. Vis. Commun. Image Represent., 2021

2020

Video object tracking and segmentation with box annotation.

Ye Wang, Jongmoo Choi, Kaitai Zhang, Qin Huang, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo

Signal Process. Image Commun., 2020

PixelHop: A successive subspace learning (SSL) method for object recognition.

Yueru Chen, C.-C. Jay Kuo

J. Vis. Commun. Image Represent., 2020

A point cloud compression framework via spherical projection.

Yingshen He, Ge Li, Yiting Shao, Jing Wang, Yueru Chen, Shan Liu

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Point Cloud Attribute Compression via Successive Subspace Graph Transform.

Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C.-C. Jay Kuo

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Pixelhop++: A Small Successive-Subspace-Learning-Based (Ssl-Based) Model For Image Classification.

Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Interpretable convolutional neural networks via feedforward design.

C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen

J. Vis. Commun. Image Represent., 2019

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

Yueru Chen, C.-C. Jay Kuo

CoRR, 2019

An Interpretable Generative Model for Handwritten Digits Synthesis.

Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks.

Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Ensembles of Feedforward-Designed Convolutional Neural Networks.

Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Nonparametric Learning Via Successive Subspace Modeling (SSM).

Yueru Chen

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

On data-driven Saak transform.

C.-C. Jay Kuo, Yueru Chen

J. Vis. Commun. Image Represent., 2018

Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks.

Ye Wang, Yueru Chen, Jongmoo Choi, C.-C. Jay Kuo

CoRR, 2018

Analysis on Gradient Propagation in Batch Normalized Residual Networks.

Abhishek Panigrahi, Yueru Chen, C.-C. Jay Kuo

CoRR, 2018

An Interpretable Generative Model for Handwritten Digit Image Synthesis.

Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo

CoRR, 2018

Defense Against Adversarial Attacks with Saak Transform.

Sibo Song, Yueru Chen, Ngai-Man Cheung, C.-C. Jay Kuo

CoRR, 2018

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

Yueru Chen, Zhuwei Xu, Shanshan Cai, Yujian Lang, C.-C. Jay Kuo

Proceedings of the 2018 Picture Coding Symposium, 2018

Enhancing CNN Incremental Learning Capability with an Expanded Network.

Shanshan Cai, Zhuwei Xu, Zhichao Huang, Yueru Chen, C.-C. Jay Kuo

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

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

Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C.-C. Jay Kuo

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Design, analysis and application of a volumetric convolutional neural network.

Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo

J. Vis. Commun. Image Represent., 2017

Understanding CNN via deep features analysis.

Hao Xu, Yueru Chen, Ruiyuan Lin, C.-C. Jay Kuo

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

Age/gender classification with whole-component convolutional neural networks (WC-CNN).

Chun-Ting Huang, Yueru Chen, Ruiyuan Lin, C.-C. Jay Kuo

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

A deep learning approach to drone monitoring.

Yueru Chen, Pranav Aggarwal, Jongmoo Choi, C.-C. Jay Kuo

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

Exploring confusing scene classes for the places dataset: Insights and solutions.

Chen Chen, Shangwen Li, Xiang Fu, Yuzhuo Ren, Yueru Chen, C.-C. Jay Kuo

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

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

Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016