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Stanley H. Chan

Purdue University

On the Insensitivity of Bit Density to Read Noise in One-bit Quanta Image Sensors


Mar 11, 2022
Stanley H. Chan


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


Dec 10, 2021
Abhiram Gnanasambandam, Stanley H. Chan

* Under Review 

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Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement


Nov 09, 2021
Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

* 13 pages,14 figures 

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Photon Limited Non-Blind Deblurring Using Algorithm Unrolling


Oct 29, 2021
Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

* under review at Transactions on Computational Imaging 

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Detecting and Segmenting Adversarial Graphics Patterns from Images


Aug 20, 2021
Xiangyu Qu, Stanley H. Chan

* ICCV 2021 Workshop on Adversarial Robustness in the Real World 

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


Aug 20, 2021
Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan

* The paper will be published at the ICCV 2021 

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Optical Adversarial Attack


Aug 16, 2021
Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan

* ICCV Workshop 2021 

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Graph Signal Restoration Using Nested Deep Algorithm Unrolling


Jun 30, 2021
Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar


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Driver-centric Risk Object Identification


Jun 24, 2021
Chengxi Li, Stanley H. Chan, Yi-Ting Chen

* Submitted to TPAMI 

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Student-Teacher Learning from Clean Inputs to Noisy Inputs


Mar 13, 2021
Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan

* Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2021) 

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HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction


Nov 06, 2020
Abhiram Gnanasambandam, Stanley H. Chan


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Dynamic Low-light Imaging with Quanta Image Sensors


Jul 16, 2020
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan

* Published in the 16th European Conference on Computer Vision (ECCV) 2020 

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Image Classification in the Dark using Quanta Image Sensors


Jun 23, 2020
Abhiram Gnanasambandam, Stanley H. Chan


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


Jun 23, 2020
Abhiram Gnansambandam, Stanley H. Chan


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


Apr 23, 2020
Nicholas Chimitt, Stanley H. Chan


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


Mar 05, 2020
Chengxi Li, Stanley H. Chan, Yi-Ting Chen


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


Sep 23, 2019
Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen


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Rethinking Atmospheric Turbulence Mitigation


May 17, 2019
Nicholas Chimitt, Zhiyuan Mao, Guanzhe Hong, Stanley H. Chan


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Color Filter Arrays for Quanta Image Sensors


Mar 26, 2019
Omar A. Elgendy, Stanley H. Chan


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


Aug 31, 2018
Stanley H. Chan


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Automatic Foreground Extraction using Multi-Agent Consensus Equilibrium


Aug 24, 2018
Xiran Wang, Jason Juang, Stanley H. Chan


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Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium


Jun 13, 2018
Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari, Charles A. Bouman

* 17 pages 

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Optimal Combination of Image Denoisers


May 30, 2018
Joon Hee Choi, Omar Elgendy, Stanley H. Chan


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Optimal Threshold Design for Quanta Image Sensor


Oct 30, 2017
Omar A. Elgendy, Stanley H. Chan

* 12 pages main paper, and 8 pages supplementary 

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


Nov 11, 2016
Stanley H. Chan, Xiran Wang, Omar A. Elgendy

* 14 pages 

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Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective


Sep 23, 2016
Stanley H. Chan, Todd Zickler, Yue M. Lu

* 14 pages 

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Adaptive Image Denoising by Mixture Adaptation


Jun 25, 2016
Enming Luo, Stanley H. Chan, Truong Q. Nguyen

* 15 pages 

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