Edmund Y. Lam

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 104

Top Venues

CoRR

IEEE Access

IEEE Trans. Image Process.

ICIP

Publications

Pei Zhang, Shuo Zhu, Edmund Y. Lam
Event encryption: rethinking privacy exposure for neuromorphic imaging. Neuromorph. Comput. Eng. 4 (1) (2024)
Jianqing Huang, Yuxing Li, Yanmin Zhu, Edmund Y. Lam
A field deployable imaging system for detecting microplastics in the aquatic environment. ISCAS (2024)
Jingqian Wu, Shuo Zhu, Chutian Wang, Edmund Y. Lam
Ev-GS: Event-based Gaussian splatting for Efficient and Accurate Radiance Field Rendering. CoRR (2024)
Truong Thanh Nhat Mai, Edmund Y. Lam, Chul Lee
Deep Unfolding Tensor Rank Minimization With Generalized Detail Injection for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Shansi Zhang, Edmund Y. Lam
Light Field Image Restoration via Latent Diffusion and Multi-View Attention. IEEE Signal Process. Lett. 31 (2024)
Peiyan Guan, Edmund Y. Lam
Progressive Self-Supervised Pretraining for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Pei Zhang, Haosen Liu, Zhou Ge, Chutian Wang, Edmund Y. Lam
Neuromorphic Imaging With Joint Image Deblurring and Event Denoising. IEEE Trans. Image Process. 33 (2024)
Yaping Zhao, Edmund Y. Lam
SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging. ICASSP (2024)
Yaping Zhao, Guanghan Li, Edmund Y. Lam
Cross-Camera Human Motion Transfer by Time Series Analysis. ICASSP (2024)
Shansi Zhang, Nan Meng, Edmund Y. Lam
Unsupervised Light Field Depth Estimation via Multi-View Feature Matching With Occlusion Prediction. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Shansi Zhang, Edmund Y. Lam
Unsupervised Disparity Estimation for Light Field Videos. ICASSP (2024)
Pei Zhang, Chutian Wang, Edmund Y. Lam
Neuromorphic imaging and classification with graph learning. Neurocomputing 565 (2024)
Kaiqiang Wang, Edmund Y. Lam
Harnessing Data and Physics for Deep Learning Phase Recovery. CoRR (2024)
Peiyan Guan, Renjing Pei, Bin Shao, Jianzhuang Liu, Weimian Li, Jiaxi Gu, Hang Xu, Songcen Xu, Youliang Yan, Edmund Y. Lam
PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval. ICCV (2023)
Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong
Context-Aware Transformer for 3D Point Cloud Automatic Annotation. CoRR (2023)
Yaping Zhao, Qunsong Zeng, Edmund Y. Lam
Adaptive Compressed Sensing for Real-Time Video Compression, Transmission, and Reconstruction. DSAA (2023)
Shansi Zhang, Nan Meng, Edmund Y. Lam
LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images. IEEE Trans. Image Process. 32 (2023)
Yaping Zhao, Haitian Zheng, Jiebo Luo, Edmund Y. Lam
Improving Video Colorization by Test-Time Tuning. ICIP (2023)
Pei Zhang, Chutian Wang, Edmund Y. Lam
Neuromorphic Imaging and Classification with Graph Learning. CoRR (2023)
Zhen Yuen Chong, Yaping Zhao, Zhongrui Wang, Edmund Y. Lam
Solving Inverse Problems in Compressive Imaging with Score-Based Generative Models. DSAA (2023)
Yaping Zhao, Haitian Zheng, Jiebo Luo, Edmund Y. Lam
Improving Video Colorization by Test-Time Tuning. CoRR (2023)
Shansi Zhang, Nan Meng, Edmund Y. Lam
Unsupervised Light Field Depth Estimation via Multi-view Feature Matching with Occlusion Prediction. CoRR (2023)
Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam
Point Cloud Denoising Via Momentum Ascent in Gradient Fields. ICIP (2023)
Kaiqiang Wang, Li Song, Chutian Wang, Zhenbo Ren, Guangyuan Zhao, Jiazhen Dou, Jianglei Di, George Barbastathis, Renjie Zhou, Jianlin Zhao, Edmund Y. Lam
On the use of deep learning for phase recovery. CoRR (2023)
Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong
Gradually Excavating External Knowledge for Implicit Complex Question Answering. EMNLP (Findings) (2023)
Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong
Context-Aware Transformer for 3D Point Cloud Automatic Annotation. AAAI (2023)
Yuxing Li, Vincent Tam, Pak Wing Chiu, Allie Lee, Yanmin Zhu, Edmund Y. Lam
A Deep-Learning-Enabled Monitoring System for Ocular Redness Assessment. BioCAS (2023)
Truong Thanh Nhat Mai, Edmund Y. Lam, Chul Lee
Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging. IEEE Trans. Image Process. 31 (2022)
Li Song, Zhou Ge, Edmund Y. Lam
Dual Alternating Direction Method of Multipliers for Inverse Imaging. IEEE Trans. Image Process. 31 (2022)
Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
Multimodal Transformer for Automatic 3D Annotation and Object Detection. CoRR (2022)
Yaping Zhao, Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing. DSAA (2022)
Shansi Zhang, Nan Meng, Edmund Y. Lam
LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images. CoRR (2022)
Shansi Zhang, Edmund Y. Lam
A Deep Retinex Framework for Light Field Restoration under Low-light Conditions. ICPR (2022)
Yaping Zhao, Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction. DSAA (2022)
Peiyan Guan, Edmund Y. Lam
Cross-Domain Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. ICPR (2022)
Yaping Zhao, Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction. CoRR (2022)
Yaping Zhao, Zhongrui Wang, Edmund Y. Lam
Improving Source Localization by Perturbing Graph Diffusion. DSAA (2022)
Peiyan Guan, Edmund Y. Lam
Spatial-Spectral Contrastive Learning for Hyperspectral Image Classification. IGARSS (2022)
Peiyan Guan, Edmund Y. Lam
Multistage Dual-Attention Guided Fusion Network for Hyperspectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yaping Zhao, Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing. CoRR (2022)
Zhenxing Zhou, Vincent W. L. Tam, Edmund Y. Lam
A Cross-Attention BERT-Based Framework for Continuous Sign Language Recognition. IEEE Signal Process. Lett. 29 (2022)
Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam
Manet: Improving Video Denoising with a Multi-Alignment Network. ICIP (2022)
Chang Liu, Xiaoyan Qian, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator. CoRR (2022)
Chang Liu, Xiaojuan Qi, Edmund Y. Lam, Ngai Wong
Fast Classification and Action Recognition With Event-Based Imaging. IEEE Access 10 (2022)
Peiyan Guan, Edmund Y. Lam
Three-Branch Multilevel Attentive Fusion Network for Hyperspectral Pansharpening. IGARSS (2022)
Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam
MANet: Improving Video Denoising with a Multi-Alignment Network. CoRR (2022)
Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Y. Lam, Siew-Chong Tan, Ngai Wong
Multimodal Transformer for Automatic 3D Annotation and Object Detection. ECCV (38) (2022)
Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam
Point Cloud Denoising via Momentum Ascent in Gradient Fields. CoRR (2022)
Dorothy Cheng, Edmund Y. Lam
Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation. CoRR (2021)
Shansi Zhang, Edmund Y. Lam
An effective decomposition-enhancement method to restore light field images captured in the dark. Signal Process. 189 (2021)
Shansi Zhang, Edmund Y. Lam
Learning to restore light fields under low-light imaging. Neurocomputing 456 (2021)
Zhenxing Zhou, Vincent W. L. Tam, King-Shan Lui, Edmund Y. Lam, Runzhi Kong, Xiao Hu, Nancy Law
A New Approach for Educational Data Analytics with Wearable Devices. ICALT (2021)
Shansi Zhang, Edmund Y. Lam
An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging. CoRR (2021)
Tianjiao Zeng, Edmund Y. Lam
Robust Reconstruction With Deep Learning to Handle Model Mismatch in Lensless Imaging. IEEE Trans. Computational Imaging 7 (2021)
Nan Meng, Hayden K. H. So, Xing Sun, Edmund Y. Lam
High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Fan Hei Hung, Edmund Y. Lam
Object Alignment with Refocused Image Using Off-Axis Digital Holography. IRIACV (2021)
Nan Meng, Kai Li, Jianzhuang Liu, Edmund Y. Lam
Light Field View Synthesis via Aperture Disparity and Warping Confidence Map. IEEE Trans. Image Process. 30 (2021)
Truong Thanh Nhat Mai, Edmund Y. Lam, Chul Lee
Ghost-Free HDR Imaging Via Unrolling Low-Rank Matrix Completion. ICIP (2021)
Pei Zhang, Edmund Y. Lam
From Local to Global: Efficient Dual Attention Mechanism for Single Image Super-Resolution. IEEE Access 9 (2021)
Chang Liu, Xiaojuan Qi, Edmund Y. Lam, Ngai Wong
AET-EFN: A Versatile Design for Static and Dynamic Event-Based Vision. CoRR (2021)
Zhenxing Zhou, Vincent W. L. Tam, Edmund Y. Lam
SignBERT: A BERT-Based Deep Learning Framework for Continuous Sign Language Recognition. IEEE Access 9 (2021)
Zhenbo Ren, Edmund Y. Lam, Jianlin Zhao
Real-Time Target Detection in Visual Sensing Environments Using Deep Transfer Learning and Improved Anchor Box Generation. IEEE Access 8 (2020)
Nan Meng, Zhou Ge, Tianjiao Zeng, Edmund Y. Lam
LightGAN: A Deep Generative Model for Light Field Reconstruction. IEEE Access 8 (2020)
Nan Meng, Xiaofei Wu, Jianzhuang Liu, Edmund Y. Lam
High-Order Residual Network for Light Field Super-Resolution. AAAI (2020)
Li Song, Edmund Y. Lam
MBD-GAN: Model-based image deblurring with a generative adversarial network. ICPR (2020)
Nan Meng, Kai Li, Jianzhuang Liu, Edmund Y. Lam
Light Field View Synthesis via Aperture Flow and Propagation Confidence Map. CoRR (2020)
Zhenxing Zhou, King-Shan Lui, Vincent W. L. Tam, Edmund Y. Lam
Applying (3+2+1)D Residual Neural Network with Frame Selection for Hong Kong Sign Language Recognition. ICPR (2020)
Zhimin Xu, Si Zuo, Edmund Y. Lam, Byoungho Lee, Ni Chen
AutoSegNet: An Automated Neural Network for Image Segmentation. IEEE Access 8 (2020)
Nan Meng, Xiaofei Wu, Jianzhuang Liu, Edmund Y. Lam
High-Order Residual Network for Light Field Super-Resolution. CoRR (2020)
Z. X. Zhou, Vincent W. L. Tam, King-Shan Lui, Edmund Y. Lam, Xiao Hu, Allan H. K. Yuen, Nancy Law
A Sophisticated Platform for Learning Analytics with Wearable Devices. ICALT (2020)
Yanmin Zhu, Chok Hang Yeung, Edmund Y. Lam
Holographic Classifier: Deep Learning in Digital Holography for Automatic Micro-objects Classification. INDIN (2020)
Zhenxing Zhou, Yisiang Neo, King-Shan Lui, Vincent W. L. Tam, Edmund Y. Lam, Ngai Wong
A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano. ASSETS (2020)
Zhenhua Zhou, Edmund Y. Lam, Chul Lee
Nonlocal Means Filtering Based Speckle Removal Utilizing the Maximum a Posteriori Estimation and the Total Variation Image Prior. IEEE Access 7 (2019)
Nan Meng, Hayden Kwok-Hay So, Xing Sun, Edmund Y. Lam
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction. CoRR (2019)
Nan Meng, Tianjiao Zeng, Edmund Y. Lam
Spatial and Angular Reconstruction of Light Field Based on Deep Generative Networks. ICIP (2019)
Z. X. Zhou, Vincent W. L. Tam, King-Shan Lui, Edmund Y. Lam, Allan Hoi Kau Yuen, Xiao Hu, Nancy Law
Applying Deep Learning and Wearable Devices for Educational Data Analytics. ICTAI (2019)
Sidhant Gupta, Thanh Tung Bui, King-Shan Lui, Edmund Y. Lam
Laser Quadrat and Photogrammetry Based Autonomous Coral Reef Mapping Ocean Robot. IRIACV (2019)
Zhenbo Ren, Hayden Kwok-Hay So, Edmund Y. Lam
Fringe Pattern Improvement and Super-Resolution Using Deep Learning in Digital Holography. IEEE Trans. Ind. Informatics 15 (11) (2019)
Runbin Shi, Justin S. J. Wong, Edmund Y. Lam, Kevin K. Tsia, Hayden Kwok-Hay So
A Real-Time Coprime Line Scan Super-Resolution System for Ultra-Fast Microscopy. IEEE Trans. Biomed. Circuits Syst. 13 (4) (2019)
Chi-Un Lei, Cheuk-Wang Yau, King-Shan Lui, Vincent W. L. Tam, Allan Hoi Kau Yuen, Edmund Y. Lam
Designing instructional videos and classwork activities: teaching internet of things via flipped classroom. Int. J. Mob. Learn. Organisation 13 (4) (2019)
Nan Meng, Edmund Y. Lam, Kevin K. Tsia, Hayden Kwok-Hay So
Large-Scale Multi-Class Image-Based Cell Classification With Deep Learning. IEEE J. Biomed. Health Informatics 23 (5) (2019)
Nan Meng, Xing Sun, Hayden Kwok-Hay So, Edmund Y. Lam
Computational Light Field Generation Using Deep Nonparametric Bayesian Learning. IEEE Access 7 (2019)
Ao Zhou, Wei Wang, Ni Chen, Edmund Y. Lam, Byoungho Lee, Guohai Situ
Fast and robust misalignment correction of Fourier ptychographic microscopy. CoRR (2018)
Chul Lee, Edmund Y. Lam
Computationally efficient brightness compensation and contrast enhancement for transmissive liquid crystal displays. J. Real Time Image Process. 14 (4) (2018)
Po-Yu Liu, Edmund Y. Lam
Image Reconstruction Using Deep Learning. CoRR (2018)
Ni Chen, Chao Zuo, Edmund Y. Lam, Byoungho Lee
3D Imaging Based on Depth Measurement Technologies. Sensors 18 (11) (2018)
Chongguo Li, Nelson H. C. Yung, Xing Sun, Edmund Y. Lam
Human arm pose modeling with learned features using joint convolutional neural network. Mach. Vis. Appl. 28 (1-2) (2017)
Chi-Un Lei, Cheuk-Wang Yau, King-Shan Lui, Paul Yum, Vincent W. L. Tam, Allan H. K. Yuen, Edmund Y. Lam
Teaching Internet of Things: Enhancing learning efficiency via full-semester flipped classroom. TALE (2017)
Xing Sun, Nelson H. C. Yung, Edmund Y. Lam, Hayden Kwok-Hay So
Computationally Efficient Hyperspectral Data Learning Based on the Doubly Stochastic Dirichlet Process. IEEE Trans. Geosci. Remote. Sens. 55 (1) (2017)
Ni Chen, Zhenbo Ren, Dayan Li, Edmund Y. Lam, Guohai Situ
Analysis of the noise in back-projection light field acquisition and its optimization. CoRR (2017)
Nan Meng, Hayden Kwok-Hay So, Edmund Y. Lam
Computational single-cell classification using deep learning on bright-field and phase images. MVA (2017)
Xing Sun, Nan Meng, Zhimin Xu, Edmund Y. Lam, Hayden Kwok-Hay So
Sparse Hierarchical Nonparametric Bayesian learning for light field representation and denoising. IJCNN (2016)
Xing Sun, Zhimin Xu, Nan Meng, Edmund Y. Lam, Hayden Kwok-Hay So
Data-driven light field depth estimation using deep Convolutional Neural Networks. IJCNN (2016)
Xing Sun, Nelson H. C. Yung, Edmund Y. Lam
Unsupervised Tracking With the Doubly Stochastic Dirichlet Process Mixture Model. IEEE Trans. Intell. Transp. Syst. 17 (9) (2016)
Chul Lee, Edmund Y. Lam
High dynamic range imaging via truncated nuclear norm minimization of low-rank matrix. ICASSP (2016)
Chul Lee, Edmund Y. Lam
Computationally Efficient Truncated Nuclear Norm Minimization for High Dynamic Range Imaging. IEEE Trans. Image Process. 25 (9) (2016)
Xing Sun, Nelson H. C. Yung, Edmund Y. Lam, Hayden Kwok-Hay So
Consistency Analysis for the Doubly Stochastic Dirichlet Process. CoRR (2016)
Xing Sun, Nelson H. C. Yung, Edmund Y. Lam, Hayden K. H. So
Unsupervised tracking with a low computational cost using the doubly stochastic Dirichlet process mixture model. Image Processing: Machine Vision Applications (2016)
Fuqin Deng, Chang Liu, Wuifung Sze, Jiangwen Deng, Kenneth S. M. Fung, Edmund Y. Lam
An INSPECT Measurement System for Moving Objects. IEEE Trans. Instrum. Meas. 64 (1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Edmund Y. Lam