Inverse image problem of designing phase shifting masks in optical lithography. - Stanley H. Chan; Edmund Y. Lam (ICIP, 2008)

Fast LCD motion deblurring by decimation and optimization. - Stanley H. Chan; Truong Q. Nguyen (ICASSP, 2009)

Subpixel motion estimation without interpolation. - Stanley H. Chan; Dung Trung Vo; Truong Q. Nguyen (ICASSP, 2010)

Demosaicking imageswith motion blur. - Shay Har-Noy; Stanley H. Chan; Truong Q. Nguyen (ICASSP, 2010)

Constructing a sparse convolution matrix for shift varying image restoration problems. - Stanley H. Chan (ICIP, 2010)

LCD motion blur modeling and simulation. - Stanley H. Chan; Truong Q. Nguyen (ICME, 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)

An augmented Lagrangian method for video restoration. - Stanley H. Chan; Ramsin Khoshabeh; Kristofor B. Gibson; Philip E. Gill; Truong Q. Nguyen (ICASSP, 2011)

Spatio-temporal consistency in video disparity estimation. - Ramsin Khoshabeh; Stanley H. Chan; Truong Q. Nguyen (ICASSP, 2011)

Single image spatially variant out-of-focus blur removal. - Stanley H. Chan; Truong Q. Nguyen (ICIP, 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)

LCD Motion Blur: Modeling, Analysis, and Algorithm. - Stanley H. Chan; Truong Q. Nguyen (IEEE Trans. Image Process., 2011)

Do we really need Gaussian filters for feature point detection? - Lee-Kang Liu; Truong Q. Nguyen; Stanley H. Chan (EUSIPCO, 2012)

Directional decomposition based total variation image restoration. - Daniel R. Pipa; Stanley H. Chan; Truong Q. Nguyen (EUSIPCO, 2012)

Estimation of exchangeable graph models by stochastic blockmodel approximation. - Stanley H. Chan; Thiago B. Costa; Edoardo M. Airoldi (GlobalSIP, 2013)

Fast non-local filtering by random sampling: It works, especially for large images. - Stanley H. Chan; Todd E. Zickler; Yue M. Lu (ICASSP, 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 (ICIP, 2013)

Stochastic blockmodel approximation of a graphon: Theory and consistent estimation. - Edoardo M. Airoldi; Thiago B. Costa; Stanley H. Chan (NIPS, 2013)

Efficient image reconstruction for gigapixel quantum image sensors. - Stanley H. Chan; Yue M. Lu (GlobalSIP, 2014)

Image denoising by targeted external databases. - Enming Luo; Stanley H. Chan; Truong Q. Nguyen (ICASSP, 2014)

A Consistent Histogram Estimator for Exchangeable Graph Models. - Stanley H. Chan; Edoardo M. Airoldi (ICML, 2014)

Sparse Reconstruction of Depth Data: Representation, Algorithm, and Sampling. - Lee-Kang Liu; Stanley H. Chan; Truong Q. Nguyen (CoRR, 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)

Adaptive patch-based image denoising by EM-adaptation. - Stanley H. Chan; Enming Luo; Truong Q. Nguyen (GlobalSIP, 2015)

Understanding symmetric smoothing filters via Gaussian mixtures. - Stanley H. Chan; Todd E. Zickler; Yue M. Lu (ICIP, 2015)

Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling. - Lee-Kang Liu; Stanley H. Chan; Truong Q. Nguyen (IEEE Trans. Image Process., 2015)

Adaptive Image Denoising by Targeted Databases. - Enming Luo; Stanley H. Chan; Truong Q. Nguyen (IEEE Trans. Image Process., 2015)

Image reconstruction and threshold design for Quanta Image Sensors. - Omar A. Elgendy; Stanley H. Chan (ICIP, 2016)

Algorithm-Induced Prior for Image Restoration. - Stanley H. Chan (CoRR, 2016)

Demystifying Symmetric Smoothing Filters. - Stanley H. Chan; Todd E. Zickler; Yue M. Lu (CoRR, 2016)

Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors. - Stanley H. Chan; Omar A. Elgendy; Xiran Wang (Sensors, 2016)

Adaptive Image Denoising by Mixture Adaptation. - Enming Luo; Stanley H. Chan; Truong Q. Nguyen (IEEE Trans. Image Process., 2016)

Resolution enhancement for hyperspectral images: A super-resolution and fusion approach. - Chiman Kwan; Joon Hee Choi; Stanley H. Chan; Jin Zhou 005; Bence Budavari (ICASSP, 2017)

Parameter-free Plug-and-Play ADMM for image restoration. - Xiran Wang; Stanley H. Chan (ICASSP, 2017)

Integrating Disparate Sources of Experts for Robust Image Denoising. - Joon Hee Choi; Omar A. Elgendy; Stanley H. Chan (CoRR, 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)

Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective. - Stanley H. Chan; Todd E. Zickler; Yue M. Lu (IEEE Trans. Image Process., 2017)

Fast And Robust Recursive Filter for Image Denoising. - Yiheng Chi; Stanley H. Chan (ICASSP, 2018)

Image Reconstruction for Quanta Image Sensors Using Deep Neural Networks. - Joon Hee Choi; Omar A. Elgendy; Stanley H. Chan (ICASSP, 2018)

Automatic Foreground Extraction using Multi-Agent Consensus Equilibrium. - Xiran Wang; Jason Juang; Stanley H. Chan (CoRR, 2018)

A Super-Resolution and Fusion Approach to Enhancing Hyperspectral Images. - Chiman Kwan; Joon Hee Choi; Stanley H. Chan; Jin Zhou 005; Bence Budavari (Remote. Sens., 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)

Optimal Threshold Design for Quanta Image Sensor. - Omar A. Elgendy; Stanley H. Chan (IEEE Trans. Computational Imaging, 2018)

Interpolation and Denoising of Graph Signals Using Plug-and-play Admm. - Yoshinao Yazaki; Yuichi Tanaka 001; Stanley H. Chan (ICASSP, 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)

Megapixel Photon-Counting Color Imaging using Quanta Image Sensor. - Abhiram Gnanasambandam; Omar A. Elgendy; Jiaju Ma; Stanley H. Chan (CoRR, 2019)

Rethinking Atmospheric Turbulence Mitigation. - Nicholas Chimitt; Zhiyuan Mao; Guanzhe Hong; Stanley H. Chan (CoRR, 2019)

Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective. - Stanley H. Chan (IEEE Trans. Computational Imaging, 2019)

Optimal Combination of Image Denoisers. - Joon Hee Choi; Omar A. Elgendy; Stanley H. Chan (IEEE Trans. Image Process., 2019)

Dynamic Low-Light Imaging with Quanta Image Sensors. - Yiheng Chi; Abhiram Gnanasambandam; Vladlen Koltun; Stanley H. Chan (ECCV (21), 2020)

Image Classification in the Dark Using Quanta Image Sensors. - Abhiram Gnanasambandam; Stanley H. Chan (ECCV (8), 2020)

Simulating Anisoplanatic Turbulence by Sampling Correlated Zernike Coefficients. - Nicholas Chimitt; Stanley H. Chan (ICCP, 2020)

One Size Fits All: Can We Train One Denoiser for All Noise Levels? - Abhiram Gnanasambandam; Stanley H. Chan (ICML, 2020)

Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. - Chengxi Li 006; Yue Meng; Stanley H. Chan; Yi-Ting Chen 001 (ICRA, 2020)

Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. - Chengxi Li 006; Stanley H. Chan; Yi-Ting Chen 001 (IROS, 2020)

Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients. - Nicholas Chimitt; Stanley H. Chan (CoRR, 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)

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)

Color Filter Arrays for Quanta Image Sensors. - Omar A. Elgendy; 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)

Image Reconstruction of Static and Dynamic Scenes Through Anisoplanatic Turbulence. - Zhiyuan Mao; Nicholas Chimitt; Stanley H. Chan (IEEE Trans. Computational Imaging, 2020)

Student-Teacher Learning From Clean Inputs to Noisy Inputs. - Guanzhe Hong; Zhiyuan Mao; Xiaojun Lin 001; Stanley H. Chan (CVPR, 2021)

Graph Signal Denoising Using Nested-Structured Deep Algorithm Unrolling. - Masatoshi Nagahama; Koki Yamada; Yuichi Tanaka 001; Stanley H. Chan; Yonina C. Eldar (ICASSP, 2021)

Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform. - Zhiyuan Mao; Nicholas Chimitt; Stanley H. Chan (ICCV, 2021)

Optical Adversarial Attack. - Abhiram Gnanasambandam; Alex M. Sherman; Stanley H. Chan (ICCVW, 2021)

Photon-Limited Object Detection using Non-local Feature Matching and Knowledge Distillation. - Chengxi Li 006; Xiangyu Qu; Abhiram Gnanasambandam; Omar A. Elgendy; Jiaju Ma; Stanley H. Chan (ICCVW, 2021)

Detecting and Segmenting Adversarial Graphics Patterns from Images. - Xiangyu Qu; Stanley H. Chan (ICCVW, 2021)

Driver-centric Risk Object Identification. - Chengxi Li 006; Stanley H. Chan; Yi-Ting Chen 001 (CoRR, 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)

Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model. - Zhiyuan Mao; Ajay Jaiswal; Zhangyang Wang; Stanley H. Chan (ECCV (19), 2022)

Photon-Limited Deblurring Using Algorithm Unrolling. - Yash Sanghvi; Abhiram Gnanasambandan; Stanley H. Chan (ICASSP, 2022)

Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmospheric Turbulence Model. - Stanley H. Chan (IEEE Signal Process. Lett., 2022)

What Does a One-Bit Quanta Image Sensor Offer? - 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)

Exposure-Referred Signal-to-Noise Ratio for Digital Image Sensors. - Abhiram Gnanasambandam; 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)

Photon-Limited Blind Deconvolution Using Unsupervised Iterative Kernel Estimation. - Yash Sanghvi; Abhiram Gnanasambandam; Zhiyuan Mao; Stanley H. Chan (IEEE Trans. Computational Imaging, 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)

Graph Signal Restoration Using Nested Deep Algorithm Unrolling. - Masatoshi Nagahama; Koki Yamada; Yuichi Tanaka 001; Stanley H. Chan; Yonina C. Eldar (IEEE Trans. Signal Process., 2022)

HDR Imaging with Spatially Varying Signal-to-Noise Ratios. - Yiheng Chi; Xingguang Zhang; Stanley H. Chan (CVPR, 2023)

Structured Kernel Estimation for Photon-Limited Deconvolution. - Yash Sanghvi; Zhiyuan Mao; Stanley H. Chan (CVPR, 2023)

Physics-Driven Turbulence Image Restoration with Stochastic Refinement. - Ajay Jaiswal; Xingguang Zhang; Stanley H. Chan; Zhangyang Wang (ICCV, 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 (MWSCAS, 2023)

Towards Understanding the Effect of Pretraining Label Granularity. - Guanzhe Hong; Yin Cui; Ariel Fuxman; Stanley H. Chan; Enming Luo (CoRR, 2023)

FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. - Feng Liu 037; Ryan Ashbaugh; Nicholas Chimitt; Najmul Hassan; Ali Hassani 001; Ajay Jaiswal; Minchul Kim; Zhiyuan Mao; Christopher Perry; Zhiyuan Ren; Yiyang Su; Pegah Varghaei; et al. (CoRR, 2023)

Space-Time Attention with Shifted Non-Local Search. - Kent W. Gauen; Stanley H. Chan (CoRR, 2023)

Computational Imaging Through Atmospheric Turbulence. - Stanley H. Chan; Nicholas Chimitt (Found. Trends Comput. Graph. Vis., 2023)

DROID: Driver-Centric Risk Object Identification. - Chengxi Li 006; Stanley H. Chan; Yi-Ting Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Resolution Limit of Single-Photon LiDAR. - Stanley H. Chan; Hashan K. Weerasooriya; Weijian Zhang; Pamela Abshire; István Gyöngy; Robert K. Henderson (CVPR, 2024)

Generative Quanta Color Imaging. - Vishal Purohit; Junjie Luo 009; Yiheng Chi; Qi Guo; Stanley H. Chan; Qiang Qiu 001 (CVPR, 2024)

Spatio-Temporal Turbulence Mitigation: A Translational Perspective. - Xingguang Zhang; Nicholas Chimitt; Yiheng Chi; Zhiyuan Mao; Stanley H. Chan (CVPR, 2024)

Quanta Video Restoration. - Prateek Chennuri; Yiheng Chi; Enze Jiang; G. M. Dilshan Godaliyadda; Abhiram Gnanasambandam; Hamid R. Sheikh; István Gyöngy; Stanley H. Chan (ECCV (40), 2024)

Kernel Diffusion: An Alternate Approach to Blind Deconvolution. - Yash Sanghvi; Yiheng Chi; Stanley H. Chan (ECCV (59), 2024)

Analysis and Improvement of Rank-Ordered Mean Algorithm in Single-Photon LiDAR. - William C. Yau; Weijian Zhang; Hashan Kavinga Weerasooriya; Stanley H. Chan (MMSP, 2024)

Parametric Modeling and Estimation of Photon Registrations for 3D Imaging. - Weijian Zhang; Hashan K. Weerasooriya; Prateek Chennuri; Stanley H. Chan (MMSP, 2024)

Soft Superpixel Neighborhood Attention. - Kent W. Gauen; Stanley H. Chan (NeurIPS, 2024)

FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. - Feng Liu 037; Ryan Ashbaugh; Nicholas Chimitt; Najmul Hassan; Ali Hassani 001; Ajay Jaiswal; Minchul Kim; Zhiyuan Mao; Christopher Perry; Zhiyuan Ren; Yiyang Su; Pegah Varghaei; et al. (WACV, 2024)

Tutorial on Diffusion Models for Imaging and Vision. - Stanley H. Chan (CoRR, 2024)

The Secrets of Non-Blind Poisson Deconvolution. - Abhiram Gnanasambandam; Yash Sanghvi; 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)

Imaging Through the Atmosphere Using Turbulence Mitigation Transformer. - Xingguang Zhang; Zhiyuan Mao; Nicholas Chimitt; Stanley H. Chan (IEEE Trans. Computational Imaging, 2024)

Why Fine-grained Labels in Pretraining Benefit Generalization? - Guanzhe Hong; Yin Cui; Ariel Fuxman; Stanley H. Chan; Enming Luo (Trans. Mach. Learn. Res., 2024)

Scattering and Gathering for Spatially Varying Blurs. - Nicholas Chimitt; Xingguang Zhang; Yiheng Chi; Stanley H. Chan (IEEE Trans. Signal Process., 2024)

Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation. - Xingguang Zhang; Nicholas Chimitt; Xijun Wang; Yu Yuan; Stanley H. Chan (CVPR, 2025)

Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait. - Feng Liu 037; Nicholas Chimitt; Lanqing Guo; Jitesh Jain; Aditya Kane; Minchul Kim; Wes Robbins; Yiyang Su; Dingqiang Ye; Xingguang Zhang; Jie Zhu; Siddharth Satyakam; et al. (CoRR, 2025)

Joint Depth and Reflectivity Estimation using Single-Photon LiDAR. - Hashan K. Weerasooriya; Prateek Chennuri; Weijian Zhang; István Gyöngy; Stanley H. Chan (CoRR, 2025)