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2020 – today
- 2024
[c19]Jingshu Zhang, Yueru Chen, Guoqing Liu, Wei Gao
, Ge Li:
Efficient Point Cloud Attribute Compression Framework using Attribute-Guided Graph Fourier Transform. ICASSP 2024: 8426-8430- 2023
- [c18]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: 813-819 - [c17]Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo:
LSR: A Light-Weight Super-Resolution Method. ICIP 2023: 1955-1959 - [i18]Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo:
LSR: A Light-Weight Super-Resolution Method. CoRR abs/2302.13596 (2023) - 2022
- [c16]Yueru Chen, Jing Wang, Ge Li:
A efficient predictive wavelet transform for LiDAR point cloud attribute compression. VCIP 2022: 1-5 - 2021
- [j6]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: 102953 (2021) - 2020
- [j5]Yueru Chen, C.-C. Jay Kuo:
PixelHop: A successive subspace learning (SSL) method for object recognition. J. Vis. Commun. Image Represent. 70: 102749 (2020) - [j4]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: 115858 (2020) - [c15]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: 3294-3298 - [c14]Yingshen He, Ge Li, Yiting Shao, Jing Wang, Yueru Chen, Shan Liu:
A point cloud compression framework via spherical projection. VCIP 2020: 62-65 - [c13]Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C.-C. Jay Kuo:
Point Cloud Attribute Compression via Successive Subspace Graph Transform. VCIP 2020: 66-69 - [i17]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 abs/2002.03141 (2020) - [i16]Yueru Chen, Yiting Shao, Jing Wang, Ge Li, C.-C. Jay Kuo:
Point Cloud Attribute Compression via Successive Subspace Graph Transform. CoRR abs/2010.15302 (2020)
2010 – 2019
- 2019
- [j3]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: 346-359 (2019) - [c12]Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo:
Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks. ICIP 2019: 365-369 - [c11]Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo:
An Interpretable Generative Model for Handwritten Digits Synthesis. ICIP 2019: 1910-1914 - [c10]Yueru Chen:
Nonparametric Learning Via Successive Subspace Modeling (SSM). ICIP 2019: 3031-3032 - [c9]Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo:
Ensembles of Feedforward-Designed Convolutional Neural Networks. ICIP 2019: 3796-3800 - [i15]Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo:
Ensembles of feedforward-designed convolutional neural networks. CoRR abs/1901.02154 (2019) - [i14]Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo:
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks. CoRR abs/1902.01980 (2019) - [i13]Yueru Chen, C.-C. Jay Kuo:
PixelHop: A Successive Subspace Learning (SSL) Method for Object Classification. CoRR abs/1909.08190 (2019) - 2018
- [j2]C.-C. Jay Kuo, Yueru Chen:
On data-driven Saak transform. J. Vis. Commun. Image Represent. 50: 237-246 (2018) - [c8]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: 518-533 - [c7]Shanshan Cai, Zhuwei Xu, Zhichao Huang, Yueru Chen, C.-C. Jay Kuo:
Enhancing CNN Incremental Learning Capability with an Expanded Network. ICME 2018: 1-6 - [c6]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: 174-178 - [i12]Sibo Song, Yueru Chen, Ngai-Man Cheung, C.-C. Jay Kuo:
Defense Against Adversarial Attacks with Saak Transform. CoRR abs/1808.01785 (2018) - [i11]C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen:
Interpretable Convolutional Neural Networks via Feedforward Design. CoRR abs/1810.02786 (2018) - [i10]Yao Zhu, Saksham Suri, Pranav Kulkarni, Yueru Chen, Jiali Duan, C.-C. Jay Kuo:
An Interpretable Generative Model for Handwritten Digit Image Synthesis. CoRR abs/1811.04507 (2018) - [i9]Abhishek Panigrahi, Yueru Chen, C.-C. Jay Kuo:
Analysis on Gradient Propagation in Batch Normalized Residual Networks. CoRR abs/1812.00342 (2018) - [i8]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 abs/1812.05206 (2018) - [i7]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 abs/1812.07712 (2018) - [i6]Ye Wang, Yueru Chen, Jongmoo Choi, C.-C. Jay Kuo:
Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks. CoRR abs/1812.08333 (2018) - 2017
- [j1]Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo:
Design, analysis and application of a volumetric convolutional neural network. J. Vis. Commun. Image Represent. 46: 128-138 (2017) - [c5]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: 550-558 - [c4]Yueru Chen, Pranav Aggarwal, Jongmoo Choi, C.-C. Jay Kuo:
A deep learning approach to drone monitoring. APSIPA 2017: 686-691 - [c3]Hao Xu, Yueru Chen, Ruiyuan Lin, C.-C. Jay Kuo:
Understanding CNN via deep features analysis. APSIPA 2017: 1052-1060 - [c2]Chun-Ting Huang, Yueru Chen, Ruiyuan Lin, C.-C. Jay Kuo:
Age/gender classification with whole-component convolutional neural networks (WC-CNN). APSIPA 2017: 1282-1285 - [i5]Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo:
3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR). CoRR abs/1701.08869 (2017) - [i4]Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo:
Design, Analysis and Application of A Volumetric Convolutional Neural Network. CoRR abs/1702.00158 (2017) - [i3]C.-C. Jay Kuo, Yueru Chen:
On Data-Driven Saak Transform. CoRR abs/1710.04176 (2017) - [i2]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 abs/1710.10714 (2017) - [i1]Yueru Chen, Pranav Aggarwal, Jongmoo Choi, C.-C. Jay Kuo:
A Deep Learning Approach to Drone Monitoring. CoRR abs/1712.00863 (2017) - 2016
- [c1]Xiaqing Pan, Yueru Chen, C.-C. Jay Kuo:
3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR). ACCV Workshops (1) 2016: 630-646
Coauthor Index
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