Gene Cheung

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 172

Top Venues

CoRR

ICIP

ICASSP

IEEE Trans. Image Process.

Publications

Fei Chen, Gene Cheung, Xue Zhang
Manifold Graph Signal Restoration Using Gradient Graph Laplacian Regularizer. IEEE Trans. Signal Process. 72 (2024)
Yasaman Parhizkar, Gene Cheung, Andrew W. Eckford
Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses. CoRR (2024)
Chinthaka Dinesh, Junfei Wang, Gene Cheung, Pirathayini Srikantha
Complex Graph Laplacian Regularizer for Inferencing Grid States. SmartGridComm (2023)
Fen Wang, Gene Cheung, Minxiang Ye, Taihao Li, Yi-Tian Feng
Fast MSE-Based Sampling of Bandlimited Graph Signals via Low-Pass Impulse Responses. IEEE Trans. Signal Process. 71 (2023)
Yuejiang Li, H. Vicky Zhao, Gene Cheung
Eigen-Decomposition-Free Directed Graph Sampling via Gershgorin Disc Alignment. ICASSP (2023)
Chinthaka Dinesh, Gene Cheung, Fei Chen, Yuejiang Li, H. Vicky Zhao
Modeling Viral Information Spreading via Directed Acyclic Graph Diffusion. CoRR (2023)
Haruki Yokota, Junya Hara, Yuichi Tanaka, Gene Cheung
Signed Graph Balancing with Graph Cut. EUSIPCO (2023)
Yeganeh Gharedaghi, Gene Cheung, Xianming Liu
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer. CoRR (2023)
Jin Zeng, Yang Liu, Gene Cheung, Wei Hu
Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks. ICASSP (2023)
Tam Thuc Do, Philip A. Chou, Gene Cheung
Volumetric Attribute Compression for 3D Point Clouds Using Feedforward Network with Geometric Attention. ICASSP (2023)
Fengbo Lan, Gene Cheung, Prabhkirat Arora, Deinabo Richard-Koko, Lisa Cole
On Designing A 3d Imaging Summer Project For Ontario's High School Students During Covid-19 Pandemic. ICASSP (2023)
Yeganeh Gharedaghi, Gene Cheung, Xianming Liu
Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer. ICIP (2023)
Tam Thuc Do, Philip A. Chou, Gene Cheung
Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention. CoRR (2023)
Saghar Bagheri, Gene Cheung, Timothy Eadie
Graph Sparsification for GCN Towards Optimal Crop Yield Predictions. IGARSS (2023)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Tam Thuc Do, Philip A. Chou, Gene Cheung
Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression. CoRR (2023)
Saghar Bagheri, Gene Cheung, Timothy Eadie
Graph Sparsification for GCN Towards Optimal Crop Yield Predictions. CoRR (2023)
Fen Wang, Taihao Li, Ying Du, Yu-Ping Ruan, Gene Cheung
Fast Sampling for Large-scale Linear Inverse Problems via Enlarging Principle Submatrix. EUSIPCO (2022)
Saghar Bagheri, Tam Thuc Do, Gene Cheung, Antonio Ortega
Hybrid Model-based / Data-driven Graph Transform for Image Coding. CoRR (2022)
Chinthaka Dinesh, Gene Cheung, Saghar Bagheri, Ivan V. Bajic
Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment. CoRR (2022)
Fen Wang, Gene Cheung, Taihao Li, Ying Du, Yu-Ping Ruan
Fast Sampling and Reconstruction for Linear Inverse Problems: From Vectors to Tensors. IEEE Trans. Signal Process. 70 (2022)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point Cloud Video Super-Resolution via Partial Point Coupling and Graph Smoothness. IEEE Trans. Image Process. 31 (2022)
Saghar Bagheri, Chinthaka Dinesh, Gene Cheung, Timothy Eadie
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction. EUSIPCO (2022)
Rino Yoshida, Kazuya Kodama, Huy Vu, Gene Cheung, Takayuki Hamamoto
Unrolling Graph Total Variation for Light Field Image Denoising. ICIP (2022)
Jin Zeng, Saghar Bagheri, Yang Liu, Gene Cheung, Wei Hu
Sparse Graph Learning with Eigen-gap for Spectral Filter Training in Graph Convolutional Networks. CoRR (2022)
Saghar Bagheri, Chinthaka Dinesh, Gene Cheung, Timothy Eadie
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction. CoRR (2022)
Yung-Hsuan Chao, Haoran Hong, Gene Cheung, Antonio Ortega
Pre-Demosaic Graph-Based Light Field Image Compression. IEEE Trans. Image Process. 31 (2022)
Cheng Yang, Gene Cheung, Wei Hu
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Sadid Sahami, Gene Cheung, Chia-Wen Lin
Fast Graph Sampling for Short Video Summarization Using Gershgorin Disc Alignment. ICASSP (2022)
Chinthaka Dinesh, Saghar Bagheri, Gene Cheung, Ivan V. Bajic
Linear-Time Sampling on Signed Graphs Via Gershgorin Disc Perfect Alignment. ICASSP (2022)
Yuan Yuan, Gene Cheung, Pascal Frossard, H. Vicky Zhao, Jiwu Huang
Landmarking for Navigational Streaming of Stored High-Dimensional Media. IEEE Trans. Circuits Syst. Video Technol. 32 (8) (2022)
Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement. IEEE Trans. Image Process. 31 (2022)
Saghar Bagheri, Tam Thuc Do, Gene Cheung, Antonio Ortega
Hybrid Model-Based / Data-Driven Graph Transform for Image Coding. ICIP (2022)
Saghar Bagheri, Gene Cheung, Antonio Ortega, Fen Wang
Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative Glasso and Projection. ICASSP (2021)
Huy Vu, Gene Cheung, Yonina C. Eldar
Unrolling of Deep Graph Total Variation for Image Denoising. ICASSP (2021)
Minxiang Ye, Vladimir Stankovic, Lina Stankovic, Gene Cheung
Robust Deep Graph Based Learning for Binary Classification. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai
Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization. CoRR (2021)
Yuan Yuan, Gene Cheung, Pascal Frossard, H. Vicky Zhao, Jiwu Huang
Landmarking for Navigational Streaming of Stored High-Dimensional Media. CoRR (2021)
Fen Wang, Gene Cheung, Yongchao Wang, Wai-Tian Tan
Fast Manifold Landmarking Using Extreme Eigen-Pairs. ICASSP (2021)
Fei Chen, Gene Cheung, Xue Zhang
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding. CoRR (2021)
Xue Zhang, Gene Cheung, Yao Zhao, Patrick Le Callet, Chunyu Lin, Jack Z. G. Tan
Graph Learning Based Head Movement Prediction for Interactive 360 Video Streaming. IEEE Trans. Image Process. 30 (2021)
Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement. CoRR (2021)
Cheng Yang, Gene Cheung, Wai-tian Tan, Guangtao Zhai
Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment. CoRR (2021)
Sadid Sahami, Gene Cheung, Chia-Wen Lin
Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment. CoRR (2021)
Fei Chen, Gene Cheung, Xue Zhang
Fast & Robust Image Interpolation Using Gradient Graph Laplacian Regularizer. ICIP (2021)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Point Cloud Denoising via Feature Graph Laplacian Regularization. IEEE Trans. Image Process. 29 (2020)
Chinthaka Dinesh, Gene Cheung, Fen Wang, Ivan V. Bajic
Sampling Of 3d Point Cloud Via Gershgorin Disc Alignment. ICIP (2020)
Saghar Bagheri, Gene Cheung, Antonio Ortega, Fen Wang
Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative GLASSO and Projection. CoRR (2020)
Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo
Feature Graph Learning for 3D Point Cloud Denoising. IEEE Trans. Signal Process. 68 (2020)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
Super-Resolution of 3D Color Point Clouds Via Fast Graph Total Variation. ICASSP (2020)
Xue Zhang, Gene Cheung, Patrick Le Callet, Jack Z. G. Tan
Sparse Directed Graph Learning for Head Movement Prediction in 360 Video Streaming. ICASSP (2020)
Cheng Yang, Gene Cheung, Wei Hu
Fast Graph Metric Learning via Gershgorin Disc Alignment. CoRR (2020)
Fengbo Lan, Cheng Yang, Gene Cheung, Jack Z. G. Tan
Joint Demosaicking / Rectification Of Fisheye Camera Images Using Multi-Color Graph Laplacian Regularization. ICIP (2020)
Xiaochong Jiang, Cheng Yang, Gene Cheung, Seishi Takamura
Semi-Regular Geometric Kernel Encoding & Reconstruction for Video Compression. ICASSP (2020)
Yuichi Tanaka, Yonina C. Eldar, Antonio Ortega, Gene Cheung
Sampling Signals on Graphs: From Theory to Applications. IEEE Signal Process. Mag. 37 (6) (2020)
Fen Wang, Yongchao Wang, Gene Cheung, Cheng Yang
Graph Sampling for Matrix Completion Using Recurrent Gershgorin Disc Shift. IEEE Trans. Signal Process. 68 (2020)
Cheng Yang, Gene Cheung, Wei Hu
Graph Metric Learning via Gershgorin Disc Alignment. ICASSP (2020)
Yuanchao Bai, Fen Wang, Gene Cheung, Yuji Nakatsukasa, Wen Gao
Fast Graph Sampling Set Selection Using Gershgorin Disc Alignment. IEEE Trans. Signal Process. 68 (2020)
Cheng Yang, Gene Cheung, Wei Hu
Signed Graph Metric Learning via Gershgorin Disc Alignment. CoRR (2020)
Xue Zhang, Gene Cheung, Jiahao Pang, Dong Tian
3D Point Cloud Enhancement Using Graph-Modelled Multiview Depth Measurements. ICIP (2020)
Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang
3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model. IEEE Trans. Image Process. 29 (2020)
Huy Vu, Gene Cheung, Yonina C. Eldar
Unrolling of Deep Graph Total Variation for Image Denoising. CoRR (2020)
Yuichi Tanaka, Yonina C. Eldar, Antonio Ortega, Gene Cheung
Sampling on Graphs: From Theory to Applications. CoRR (2020)
Weng-Tai Su, Gene Cheung, Richard Wildes, Chia-Wen Lin
Graph Neural Net Using Analytical Graph Filters and Topology Optimization for Image Denoising. ICASSP (2020)
Xue Zhang, Gene Cheung, Jiahao Pang, Dong Tian
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements. CoRR (2020)
Minxiang Ye, Vladimir Stankovic, Lina Stankovic, Gene Cheung
Robust Deep Graph Based Learning for Binary Classification. CoRR (2019)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
3D Point Cloud Color Denoising Using Convex Graph-Signal Smoothness Priors. MMSP (2019)
Fen Wang, Gene Cheung, Yongchao Wang
Low-complexity Graph Sampling With Noise and Signal Reconstruction via Neumann Series. IEEE Trans. Signal Process. 67 (21) (2019)
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao
Graph-Based Blind Image Deblurring From a Single Photograph. IEEE Trans. Image Process. 28 (3) (2019)
Xianming Liu, Gene Cheung, Xiangyang Ji, Debin Zhao, Wen Gao
Graph-Based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images. IEEE Trans. Image Process. 28 (3) (2019)
Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo
Feature Graph Learning for 3D Point Cloud Denoising. CoRR (2019)
Yuanchao Bai, Gene Cheung, Fen Wang, Xianming Liu, Wen Gao
Reconstruction-cognizant Graph Sampling Using Gershgorin Disc Alignment. ICASSP (2019)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic
3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals. ICIP (2019)
Jin Zeng, Jiahao Pang, Wenxiu Sun, Gene Cheung
Deep Graph Laplacian Regularization for Robust Denoising of Real Images. CVPR Workshops (2019)
Minxiang Ye, Vladimir Stankovic, Lina Stankovic, Gene Cheung
Deep Graph Regularized Learning for Binary Classification. ICASSP (2019)
Fen Wang, Gene Cheung, Yongchao Wang
Fast Sampling of Graph Signals with Noise via Neumann Series Conversion. ICASSP (2019)
Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. IEEE Trans. Image Process. 28 (12) (2019)
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao
Graph-Based Blind Image Deblurring From a Single Photograph. CoRR (2018)
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao
Blind Image Deblurring Via Reweighted Graph Total Variation. ICASSP (2018)
Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. CoRR (2018)
Gene Cheung, Enrico Magli, Yuichi Tanaka, Michael K. Ng
Graph Spectral Image Processing. Proc. IEEE 106 (5) (2018)
Fen Wang, Yongchao Wang, Gene Cheung
A-Optimal Sampling and Robust Reconstruction for Graph Signals via Truncated Neumann Series. IEEE Signal Process. Lett. 25 (5) (2018)
Chinthaka Dinesh, Ivan V. Bajic, Gene Cheung
Adaptive Nonrigid Inpainting of Three-Dimensional Point Cloud Geometry. IEEE Signal Process. Lett. 25 (6) (2018)
Suiyi Ling, Gene Cheung, Patrick Le Callet
No-Reference Quality Assessment for Stitched Panoramic Images Using Convolutional Sparse Coding and Compound Feature Selection. ICME (2018)
Shuai Yang, Gene Cheung, Jiaying Liu, Zongming Guo
Soft Decoding of Light Field Images Using Pocs and Fast Graph Spectrayl Filters. ICASSP (2018)
Ana De Abreu, Gene Cheung, Pascal Frossard, Fernando Pereira
Optimal Lagrange multipliers for dependent rate allocation in video coding. Signal Process. Image Commun. 63 (2018)
Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model. CoRR (2018)
Xianming Liu, Gene Cheung, Chia-Wen Lin, Debin Zhao, Wen Gao
Prior-Based Quantization Bin Matching for Cloud Storage of JPEG Images. IEEE Trans. Image Process. 27 (7) (2018)
Weihang Liao, Gene Cheung, Wei Hu
Path Coding on Geometric Planar Graph for 2D / 3D Visual Data Partitioning. ICIP (2018)
Eduardo Peixoto, Bruno Macchiavello, Edson Mintsu Hung, Gene Cheung
Progressive Sub-Aperture Image Recovery for Interactive Light Field Data Streaming. ICIP (2018)
Weihang Liao, Gene Cheung, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka
Graph Learning & Fast Transform Coding of 3D River Data. APSIPA (2018)
Jin Zeng, Jiahao Pang, Wenxiu Sun, Gene Cheung, Ruichao Xiao
Deep Graph Laplacian Regularization. CoRR (2018)
Qi Chang, Gene Cheung, Yao Zhao, Xiaolong Li, Rongrong Ni
Non-Local Graph-Based Prediction for Reversible Data Hiding in Images. ICIP (2018)
Jack Z. G. Tan, Gene Cheung, Rui Ma
360-Degree Virtual-Reality Cameras for the Masses. IEEE Multim. 25 (1) (2018)
Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic, Cheng Yang
Local 3D Point Cloud Denoising via Bipartite Graph Approximation & Total Variation. MMSP (2018)
Gene Cheung, Weng-Tai Su, Yu Mao, Chia-Wen Lin
Robust Semisupervised Graph Classifier Learning With Negative Edge Weights. IEEE Trans. Signal Inf. Process. over Networks 4 (4) (2018)
Qi Chang, Gene Cheung, Yao Zhao, Xiaolong Li, Rongrong Ni
Non-Local Graph-Based Prediction For Reversible Data Hiding In Images. CoRR (2018)
Weng-Tai Su, Chih-Chung Hsu, Ziling Huang, Chia-Wen Lin, Gene Cheung
Joint Pairwise Learning and Image Clustering Based on a Siamese CNN. ICIP (2018)
Yuan Yuan, Gene Cheung, Patrick Le Callet, Pascal Frossard, H. Vicky Zhao
Object Shape Approximation and Contour Adaptive Depth Image Coding for Virtual View Synthesis. IEEE Trans. Circuits Syst. Video Technol. 28 (12) (2018)
Wallace Bruno S. de Souza, Bruno Macchiavello, Eduardo Peixoto, Edson M. Hung, Gene Cheung
A Sub-Aperture Image Selection Refinement Method for Progressive Light Field Transmission. MMSP (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gene Cheung