Stanley H. Chan

According to our database, Stanley H. Chan authored at least 96 papers between 2008 and 2024.

Collaborative distances:

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

2024

Scattering and Gathering for Spatially Varying Blurs.

Nicholas Chimitt, Xingguang Zhang, Yiheng Chi, Stanley H. Chan

IEEE Trans. Signal Process., 2024

Imaging Through the Atmosphere Using Turbulence Mitigation Transformer.

Xingguang Zhang, Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan

IEEE Trans. Computational Imaging, 2024

Spatially Varying Exposure With 2-by-2 Multiplexing: Optimality and Universality.

Xiangyu Qu, Yiheng Chi, Stanley H. Chan

IEEE Trans. Computational Imaging, 2024

The Secrets of Non-Blind Poisson Deconvolution.

Abhiram Gnanasambandam, Yash Sanghvi, Stanley H. Chan

IEEE Trans. Computational Imaging, 2024

Generative Quanta Color Imaging.

Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu

CoRR, 2024

Tutorial on Diffusion Models for Imaging and Vision.

Stanley H. Chan

CoRR, 2024

Resolution Limit of Single-Photon LiDAR.

Stanley H. Chan, Hashan K. Weerasooriya, Weijian Zhang, Pamela Abshire, István Gyöngy, Robert K. Henderson

CoRR, 2024

Spatio-Temporal Turbulence Mitigation: A Translational Perspective.

Xingguang Zhang, Nicholas Chimitt, Yiheng Chi, Zhiyuan Mao, Stanley H. Chan

CoRR, 2024

FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude.

Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

DROID: Driver-Centric Risk Object Identification.

Chengxi Li, Stanley H. Chan, Yi-Ting Chen

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Computational Imaging Through Atmospheric Turbulence.

Stanley H. Chan, Nicholas Chimitt

Found. Trends Comput. Graph. Vis., 2023

FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude.

Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Xingguang Zhang, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil K. Jain, Xiaoming Liu

CoRR, 2023

Towards Understanding the Effect of Pretraining Label Granularity.

Guanzhe Hong, Yin Cui, Ariel Fuxman, Stanley H. Chan, Enming Luo

CoRR, 2023

Pulsed ToF LiDAR-Based Depth Imaging: SPAD Circuit Considerations and Simulation Study.

Utku Noyan, Sheung Lu, Abdullah Al-Shabili, Marc Dandin, Stanley H. Chan, Pamela Abshire

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Physics-Driven Turbulence Image Restoration with Stochastic Refinement.

Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Structured Kernel Estimation for Photon-Limited Deconvolution.

Yash Sanghvi, Zhiyuan Mao, Stanley H. Chan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HDR Imaging with Spatially Varying Signal-to-Noise Ratios.

Yiheng Chi, Xingguang Zhang, Stanley H. Chan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Graph Signal Restoration Using Nested Deep Algorithm Unrolling.

Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar

IEEE Trans. Signal Process., 2022

Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement.

Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

IEEE Trans. Image Process., 2022

Photon-Limited Blind Deconvolution Using Unsupervised Iterative Kernel Estimation.

Yash Sanghvi, Abhiram Gnanasambandam, Zhiyuan Mao, Stanley H. Chan

IEEE Trans. Computational Imaging, 2022

Photon Limited Non-Blind Deblurring Using Algorithm Unrolling.

Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

IEEE Trans. Computational Imaging, 2022

Exposure-Referred Signal-to-Noise Ratio for Digital Image Sensors.

Abhiram Gnanasambandam, Stanley H. Chan

IEEE Trans. Computational Imaging, 2022

Real-Time Dense Field Phase-to-Space Simulation of Imaging Through Atmospheric Turbulence.

Nicholas Chimitt, Xingguang Zhang, Zhiyuan Mao, Stanley H. Chan

IEEE Trans. Computational Imaging, 2022

What Does a One-Bit Quanta Image Sensor Offer?

Stanley H. Chan

IEEE Trans. Computational Imaging, 2022

Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmospheric Turbulence Model.

Stanley H. Chan

IEEE Signal Process. Lett., 2022

Photon-Limited Deblurring Using Algorithm Unrolling.

Yash Sanghvi, Abhiram Gnanasambandan, Stanley H. Chan

Proceedings of the IEEE International Conference on Acoustics, 2022

Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model.

Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Low-Light Demosaicking and Denoising for Small Pixels Using Learned Frequency Selection.

Omar A. Elgendy, Abhiram Gnanasambandam, Stanley H. Chan, Jiaju Ma

IEEE Trans. Computational Imaging, 2021

Driver-centric Risk Object Identification.

Chengxi Li, Stanley H. Chan, Yi-Ting Chen

CoRR, 2021

Detecting and Segmenting Adversarial Graphics Patterns from Images.

Xiangyu Qu, Stanley H. Chan

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Photon-Limited Object Detection using Non-local Feature Matching and Knowledge Distillation.

Chengxi Li, Xiangyu Qu, Abhiram Gnanasambandam, Omar A. Elgendy, Jiaju Ma, Stanley H. Chan

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Optical Adversarial Attack.

Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform.

Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Graph Signal Denoising Using Nested-Structured Deep Algorithm Unrolling.

Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

Student-Teacher Learning From Clean Inputs to Noisy Inputs.

Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Image Reconstruction of Static and Dynamic Scenes Through Anisoplanatic Turbulence.

Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan

IEEE Trans. Computational Imaging, 2020

HDR Imaging With Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction.

Abhiram Gnanasambandam, Stanley H. Chan

IEEE Trans. Computational Imaging, 2020

Color Filter Arrays for Quanta Image Sensors.

Omar A. Elgendy, Stanley H. Chan

IEEE Trans. Computational Imaging, 2020

Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery.

Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Sizhuo Liu, Edward T. Reehorst, Philip Schniter

IEEE Signal Process. Mag., 2020

Automatic foreground extraction from imperfect backgrounds using multi-agent consensus equilibrium.

Xiran Wang, Jason Juang, Stanley H. Chan

J. Vis. Commun. Image Represent., 2020

Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients.

Nicholas Chimitt, Stanley H. Chan

CoRR, 2020

Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference.

Chengxi Li, Stanley H. Chan, Yi-Ting Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks.

Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

One Size Fits All: Can We Train One Denoiser for All Noise Levels?

Abhiram Gnanasambandam, Stanley H. Chan

Proceedings of the 37th International Conference on Machine Learning, 2020

Simulating Anisoplanatic Turbulence by Sampling Correlated Zernike Coefficients.

Nicholas Chimitt, Stanley H. Chan

Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

Image Classification in the Dark Using Quanta Image Sensors.

Abhiram Gnanasambandam, Stanley H. Chan

Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Low-Light Imaging with Quanta Image Sensors.

Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Optimal Combination of Image Denoisers.

Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan

IEEE Trans. Image Process., 2019

Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective.

Stanley H. Chan

IEEE Trans. Computational Imaging, 2019

Rethinking Atmospheric Turbulence Mitigation.

Nicholas Chimitt, Zhiyuan Mao, Guanzhe Hong, Stanley H. Chan

CoRR, 2019

Megapixel Photon-Counting Color Imaging using Quanta Image Sensor.

Abhiram Gnanasambandam, Omar A. Elgendy, Jiaju Ma, Stanley H. Chan

CoRR, 2019

Plug and play methods for magnetic resonance imaging.

Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Edward T. Reehorst, Philip Schniter

CoRR, 2019

Interpolation and Denoising of Graph Signals Using Plug-and-play Admm.

Yoshinao Yazaki, Yuichi Tanaka, Stanley H. Chan

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Optimal Threshold Design for Quanta Image Sensor.

Omar A. Elgendy, Stanley H. Chan

IEEE Trans. Computational Imaging, 2018

Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium.

Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari, Charles A. Bouman

SIAM J. Imaging Sci., 2018

A Super-Resolution and Fusion Approach to Enhancing Hyperspectral Images.

Chiman Kwan, Joon Hee Choi, Stanley H. Chan, Jin Zhou, Bence Budavari

Remote. Sens., 2018

Automatic Foreground Extraction using Multi-Agent Consensus Equilibrium.

Xiran Wang, Jason Juang, Stanley H. Chan

CoRR, 2018

Image Reconstruction for Quanta Image Sensors Using Deep Neural Networks.

Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Fast And Robust Recursive Filter for Image Denoising.

Yiheng Chi, Stanley H. Chan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective.

Stanley H. Chan, Todd E. Zickler, Yue M. Lu

IEEE Trans. Image Process., 2017

Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications.

Stanley H. Chan, Xiran Wang, Omar A. Elgendy

IEEE Trans. Computational Imaging, 2017

Integrating Disparate Sources of Experts for Robust Image Denoising.

Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan

CoRR, 2017

Parameter-free Plug-and-Play ADMM for image restoration.

Xiran Wang, Stanley H. Chan

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Resolution enhancement for hyperspectral images: A super-resolution and fusion approach.

Chiman Kwan, Joon Hee Choi, Stanley H. Chan, Jin Zhou, Bence Budavari

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Adaptive Image Denoising by Mixture Adaptation.

Enming Luo, Stanley H. Chan, Truong Q. Nguyen

IEEE Trans. Image Process., 2016

Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors.

Stanley H. Chan, Omar A. Elgendy, Xiran Wang

Sensors, 2016

Demystifying Symmetric Smoothing Filters.

Stanley H. Chan, Todd E. Zickler, Yue M. Lu

CoRR, 2016

Algorithm-Induced Prior for Image Restoration.

Stanley H. Chan

CoRR, 2016

Image reconstruction and threshold design for Quanta Image Sensors.

Omar A. Elgendy, Stanley H. Chan

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Adaptive Image Denoising by Targeted Databases.

Enming Luo, Stanley H. Chan, Truong Q. Nguyen

IEEE Trans. Image Process., 2015

Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling.

Lee-Kang Liu, Stanley H. Chan, Truong Q. Nguyen

IEEE Trans. Image Process., 2015

Understanding symmetric smoothing filters via Gaussian mixtures.

Stanley H. Chan, Todd E. Zickler, Yue M. Lu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Adaptive patch-based image denoising by EM-adaptation.

Stanley H. Chan, Enming Luo, Truong Q. Nguyen

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

Monte Carlo Non-Local Means: Random Sampling for Large-Scale Image Filtering.

Stanley H. Chan, Todd E. Zickler, Yue M. Lu

IEEE Trans. Image Process., 2014

Sparse Reconstruction of Depth Data: Representation, Algorithm, and Sampling.

Lee-Kang Liu, Stanley H. Chan, Truong Q. Nguyen

CoRR, 2014

A Consistent Histogram Estimator for Exchangeable Graph Models.

Stanley H. Chan, Edoardo M. Airoldi

Proceedings of the 31th International Conference on Machine Learning, 2014

Image denoising by targeted external databases.

Enming Luo, Stanley H. Chan, Truong Q. Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient image reconstruction for gigapixel quantum image sensors.

Stanley H. Chan, Yue M. Lu

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Stochastic blockmodel approximation of a graphon: Theory and consistent estimation.

Edoardo M. Airoldi, Thiago B. Costa, Stanley H. Chan

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Adaptive non-local means for multiview image denoising: Searching for the right patches via a statistical approach.

Enming Luo, Stanley H. Chan, Shengjun Pan, Truong Q. Nguyen

Proceedings of the IEEE International Conference on Image Processing, 2013

Fast non-local filtering by random sampling: It works, especially for large images.

Stanley H. Chan, Todd E. Zickler, Yue M. Lu

Proceedings of the IEEE International Conference on Acoustics, 2013

Estimation of exchangeable graph models by stochastic blockmodel approximation.

Stanley H. Chan, Thiago B. Costa, Edoardo M. Airoldi

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Directional decomposition based total variation image restoration.

Daniel R. Pipa, Stanley H. Chan, Truong Q. Nguyen

Proceedings of the 20th European Signal Processing Conference, 2012

Do we really need Gaussian filters for feature point detection?

Lee-Kang Liu, Truong Q. Nguyen, Stanley H. Chan

Proceedings of the 20th European Signal Processing Conference, 2012

2011

LCD Motion Blur: Modeling, Analysis, and Algorithm.

Stanley H. Chan, Truong Q. Nguyen

IEEE Trans. Image Process., 2011

An Augmented Lagrangian Method for Total Variation Video Restoration.

Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gibson, Philip E. Gill, Truong Q. Nguyen

IEEE Trans. Image Process., 2011

Single image spatially variant out-of-focus blur removal.

Stanley H. Chan, Truong Q. Nguyen

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Spatio-temporal consistency in video disparity estimation.

Ramsin Khoshabeh, Stanley H. Chan, Truong Q. Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2011

An augmented Lagrangian method for video restoration.

Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gibson, Philip E. Gill, Truong Q. Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Comparison of Two Frame Rate Conversion Schemes for Reducing LCD Motion Blurs.

Stanley H. Chan, Thomas X. Wu, Truong Q. Nguyen

IEEE Signal Process. Lett., 2010

LCD motion blur modeling and simulation.

Stanley H. Chan, Truong Q. Nguyen

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

Constructing a sparse convolution matrix for shift varying image restoration problems.

Stanley H. Chan

Proceedings of the International Conference on Image Processing, 2010

Demosaicking imageswith motion blur.

Shay Har-Noy, Stanley H. Chan, Truong Q. Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2010

Subpixel motion estimation without interpolation.

Stanley H. Chan, Dung Trung Vo, Truong Q. Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Fast LCD motion deblurring by decimation and optimization.

Stanley H. Chan, Truong Q. Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Inverse image problem of designing phase shifting masks in optical lithography.

Stanley H. Chan, Edmund Y. Lam

Proceedings of the International Conference on Image Processing, 2008