Stanley H. Chan

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 97

Top Venues

CoRR

IEEE Trans. Computational Imaging

ICASSP

IEEE Trans. Image Process.

Publications

Xiangyu Qu, Yiheng Chi, Stanley H. Chan
Spatially Varying Exposure With 2-by-2 Multiplexing: Optimality and Universality. IEEE Trans. Computational Imaging 10 (2024)
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
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. WACV (2024)
Abhiram Gnanasambandam, Yash Sanghvi, Stanley H. Chan
The Secrets of Non-Blind Poisson Deconvolution. IEEE Trans. Computational Imaging 10 (2024)
Stanley H. Chan, Hashan K. Weerasooriya, Weijian Zhang, Pamela Abshire, István Gyöngy, Robert K. Henderson
Resolution Limit of Single-Photon LiDAR. CoRR (2024)
William C. Yau, Weijian Zhang, Hashan K. Weerasooriya, Stanley H. Chan
Analysis and Improvement of Rank-Ordered Mean Algorithm in Single-Photon LiDAR. CoRR (2024)
Stanley H. Chan
Tutorial on Diffusion Models for Imaging and Vision. CoRR (2024)
Xingguang Zhang, Nicholas Chimitt, Yiheng Chi, Zhiyuan Mao, Stanley H. Chan
Spatio-Temporal Turbulence Mitigation: A Translational Perspective. CoRR (2024)
Xingguang Zhang, Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
Imaging Through the Atmosphere Using Turbulence Mitigation Transformer. IEEE Trans. Computational Imaging 10 (2024)
Nicholas Chimitt, Xingguang Zhang, Yiheng Chi, Stanley H. Chan
Scattering and Gathering for Spatially Varying Blurs. IEEE Trans. Signal Process. 72 (2024)
Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu
Generative Quanta Color Imaging. CoRR (2024)
Yiheng Chi, Xingguang Zhang, Stanley H. Chan
HDR Imaging with Spatially Varying Signal-to-Noise Ratios. CVPR (2023)
Utku Noyan, Sheung Lu, Abdullah Al-Shabili, Marc Dandin, Stanley H. Chan, Pamela Abshire
Pulsed ToF LiDAR-Based Depth Imaging: SPAD Circuit Considerations and Simulation Study. MWSCAS (2023)
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
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. CoRR (2023)
Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang
Physics-Driven Turbulence Image Restoration with Stochastic Refinement. CoRR (2023)
Guanzhe Hong, Yin Cui, Ariel Fuxman, Stanley H. Chan, Enming Luo
Towards Understanding the Effect of Pretraining Label Granularity. CoRR (2023)
Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang
Physics-Driven Turbulence Image Restoration with Stochastic Refinement. ICCV (2023)
Stanley H. Chan, Nicholas Chimitt
Computational Imaging Through Atmospheric Turbulence. Found. Trends Comput. Graph. Vis. 15 (4) (2023)
Yash Sanghvi, Zhiyuan Mao, Stanley H. Chan
Structured Kernel Estimation for Photon-Limited Deconvolution. CVPR (2023)
Chengxi Li, Stanley H. Chan, Yi-Ting Chen
DROID: Driver-Centric Risk Object Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Xiangyu Qu, Yiheng Chi, Stanley H. Chan
Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and Universality. CoRR (2023)
Yiheng Chi, Xingguang Zhang, Stanley H. Chan
HDR Imaging with Spatially Varying Signal-to-Noise Ratios. CoRR (2023)
Yash Sanghvi, Abhiram Gnanasambandam, Zhiyuan Mao, Stanley H. Chan
Photon-Limited Blind Deconvolution Using Unsupervised Iterative Kernel Estimation. IEEE Trans. Computational Imaging 8 (2022)
Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model. ECCV (19) (2022)
Stanley H. Chan
What Does a One-Bit Quanta Image Sensor Offer? IEEE Trans. Computational Imaging 8 (2022)
Stanley H. Chan
Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmospheric Turbulence Model. IEEE Signal Process. Lett. 29 (2022)
Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar
Graph Signal Restoration Using Nested Deep Algorithm Unrolling. IEEE Trans. Signal Process. 70 (2022)
Yash Sanghvi, Abhiram Gnanasambandan, Stanley H. Chan
Photon-Limited Deblurring Using Algorithm Unrolling. ICASSP (2022)
Nicholas Chimitt, Xingguang Zhang, Zhiyuan Mao, Stanley H. Chan
Real-Time Dense Field Phase-to-Space Simulation of Imaging Through Atmospheric Turbulence. IEEE Trans. Computational Imaging 8 (2022)
Abhiram Gnanasambandam, Stanley H. Chan
Exposure-Referred Signal-to-Noise Ratio for Digital Image Sensors. IEEE Trans. Computational Imaging 8 (2022)
Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan
Photon Limited Non-Blind Deblurring Using Algorithm Unrolling. IEEE Trans. Computational Imaging 8 (2022)
Xingguang Zhang, Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
Imaging through the Atmosphere using Turbulence Mitigation Transformer. CoRR (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)
Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model. CoRR (2022)
Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan
Student-Teacher Learning from Clean Inputs to Noisy Inputs. CoRR (2021)
Chengxi Li, Stanley H. Chan, Yi-Ting Chen
Driver-centric Risk Object Identification. CoRR (2021)
Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan
Optical Adversarial Attack. ICCVW (2021)
Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform. CoRR (2021)
Omar A. Elgendy, Abhiram Gnanasambandam, Stanley H. Chan, Jiaju Ma
Low-Light Demosaicking and Denoising for Small Pixels Using Learned Frequency Selection. IEEE Trans. Computational Imaging 7 (2021)
Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar
Graph Signal Restoration Using Nested Deep Algorithm Unrolling. CoRR (2021)
Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform. ICCV (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)
Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar
Graph Signal Denoising Using Nested-Structured Deep Algorithm Unrolling. ICASSP (2021)
Chengxi Li, Xiangyu Qu, Abhiram Gnanasambandam, Omar A. Elgendy, Jiaju Ma, Stanley H. Chan
Photon-Limited Object Detection using Non-local Feature Matching and Knowledge Distillation. ICCVW (2021)
Xiangyu Qu, Stanley H. Chan
Detecting and Segmenting Adversarial Graphics Patterns from Images. CoRR (2021)
Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan
Optical Adversarial Attack. CoRR (2021)
Xiangyu Qu, Stanley H. Chan
Detecting and Segmenting Adversarial Graphics Patterns from Images. ICCVW (2021)
Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan
Student-Teacher Learning From Clean Inputs to Noisy Inputs. CVPR (2021)
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan
Dynamic Low-Light Imaging with Quanta Image Sensors. ECCV (21) (2020)
Abhiram Gnanasambandam, Stanley H. Chan
Image Classification in the Dark using Quanta Image Sensors. CoRR (2020)
Abhiram Gnanasambandam, Stanley H. Chan
One Size Fits All: Can We Train One Denoiser for All Noise Levels? CoRR (2020)
Abhiram Gnanasambandam, Stanley H. Chan
Image Classification in the Dark Using Quanta Image Sensors. ECCV (8) (2020)
Chengxi Li, Stanley H. Chan, Yi-Ting Chen
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. CoRR (2020)
Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. ICRA (2020)
Omar A. Elgendy, Stanley H. Chan
Color Filter Arrays for Quanta Image Sensors. IEEE Trans. Computational Imaging 6 (2020)
Nicholas Chimitt, Stanley H. Chan
Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients. CoRR (2020)
Abhiram Gnanasambandam, Stanley H. Chan
HDR Imaging With Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction. IEEE Trans. Computational Imaging 6 (2020)
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan
Dynamic Low-light Imaging with Quanta Image Sensors. CoRR (2020)
Abhiram Gnanasambandam, Stanley H. Chan
HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction. CoRR (2020)
Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Sizhuo Liu, Edward T. Reehorst, Philip Schniter
Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery. IEEE Signal Process. Mag. 37 (1) (2020)
Xiran Wang, Jason Juang, Stanley H. Chan
Automatic foreground extraction from imperfect backgrounds using multi-agent consensus equilibrium. J. Vis. Commun. Image Represent. 72 (2020)
Chengxi Li, Stanley H. Chan, Yi-Ting Chen
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. IROS (2020)
Abhiram Gnanasambandam, Stanley H. Chan
One Size Fits All: Can We Train One Denoiser for All Noise Levels? ICML (2020)
Nicholas Chimitt, Stanley H. Chan
Simulating Anisoplanatic Turbulence by Sampling Correlated Zernike Coefficients. ICCP (2020)
Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence. CoRR (2020)
Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan
Image Reconstruction of Static and Dynamic Scenes Through Anisoplanatic Turbulence. IEEE Trans. Computational Imaging 6 (2020)
Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Edward T. Reehorst, Philip Schniter
Plug and play methods for magnetic resonance imaging. CoRR (2019)
Omar A. Elgendy, Stanley H. Chan
Color Filter Arrays for Quanta Image Sensors. CoRR (2019)
Yoshinao Yazaki, Yuichi Tanaka, Stanley H. Chan
Interpolation and Denoising of Graph Signals Using Plug-and-play Admm. ICASSP (2019)
Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. CoRR (2019)
Nicholas Chimitt, Zhiyuan Mao, Guanzhe Hong, Stanley H. Chan
Rethinking Atmospheric Turbulence Mitigation. CoRR (2019)
Stanley H. Chan
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective. IEEE Trans. Computational Imaging 5 (2) (2019)
Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan
Optimal Combination of Image Denoisers. IEEE Trans. Image Process. 28 (8) (2019)
Abhiram Gnanasambandam, Omar A. Elgendy, Jiaju Ma, Stanley H. Chan
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor. CoRR (2019)
Omar A. Elgendy, Stanley H. Chan
Optimal Threshold Design for Quanta Image Sensor. IEEE Trans. Computational Imaging 4 (1) (2018)
Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari, Charles A. Bouman
Plug-and-Play Unplugged: Optimization-Free Reconstruction Using Consensus Equilibrium. SIAM J. Imaging Sci. 11 (3) (2018)
Chiman Kwan, Joon Hee Choi, Stanley H. Chan, Jin Zhou, Bence Budavari
A Super-Resolution and Fusion Approach to Enhancing Hyperspectral Images. Remote. Sens. 10 (9) (2018)
Xiran Wang, Jason Juang, Stanley H. Chan
Automatic Foreground Extraction using Multi-Agent Consensus Equilibrium. CoRR (2018)
Yiheng Chi, Stanley H. Chan
Fast And Robust Recursive Filter for Image Denoising. ICASSP (2018)
Stanley H. Chan
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective. CoRR (2018)
Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan
Image Reconstruction for Quanta Image Sensors Using Deep Neural Networks. ICASSP (2018)
Xiran Wang, Stanley H. Chan
Parameter-free Plug-and-Play ADMM for image restoration. ICASSP (2017)
Stanley H. Chan, Xiran Wang, Omar A. Elgendy
Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications. IEEE Trans. Computational Imaging 3 (1) (2017)
Stanley H. Chan, Todd E. Zickler, Yue M. Lu
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective. IEEE Trans. Image Process. 26 (11) (2017)
Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan
Integrating Disparate Sources of Experts for Robust Image Denoising. CoRR (2017)
Omar A. Elgendy, Stanley H. Chan
Optimal Threshold Design for Quanta Image Sensor. CoRR (2017)
Chiman Kwan, Joon Hee Choi, Stanley H. Chan, Jin Zhou, Bence Budavari
Resolution enhancement for hyperspectral images: A super-resolution and fusion approach. ICASSP (2017)
Enming Luo, Stanley H. Chan, Truong Q. Nguyen
Adaptive Image Denoising by Mixture Adaptation. CoRR (2016)
Stanley H. Chan, Xiran Wang, Omar A. Elgendy
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications. CoRR (2016)
Stanley H. Chan
Algorithm-Induced Prior for Image Restoration. CoRR (2016)
Omar A. Elgendy, Stanley H. Chan
Image reconstruction and threshold design for Quanta Image Sensors. ICIP (2016)
Stanley H. Chan, Todd E. Zickler, Yue M. Lu
Demystifying Symmetric Smoothing Filters. CoRR (2016)
Stanley H. Chan, Omar A. Elgendy, Xiran Wang
Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors. Sensors 16 (11) (2016)
Enming Luo, Stanley H. Chan, Truong Q. Nguyen
Adaptive Image Denoising by Mixture Adaptation. IEEE Trans. Image Process. 25 (10) (2016)
Lee-Kang Liu, Stanley H. Chan, Truong Q. Nguyen
Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling. IEEE Trans. Image Process. 24 (6) (2015)
Stanley H. Chan, Enming Luo, Truong Q. Nguyen
Adaptive patch-based image denoising by EM-adaptation. GlobalSIP (2015)
Enming Luo, Stanley H. Chan, Truong Q. Nguyen
Adaptive Image Denoising by Targeted Databases. IEEE Trans. Image Process. 24 (7) (2015)
Stanley H. Chan, Todd E. Zickler, Yue M. Lu
Understanding symmetric smoothing filters via Gaussian mixtures. ICIP (2015)
Enming Luo, Stanley H. Chan, Truong Q. Nguyen
Image denoising by targeted external databases. ICASSP (2014)
Stanley H. Chan, Edoardo M. Airoldi
A Consistent Histogram Estimator for Exchangeable Graph Models. ICML (2014)
Stanley H. Chan, Yue M. Lu
Efficient image reconstruction for gigapixel quantum image sensors. GlobalSIP (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stanley H. Chan