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2020 – today
- 2024
[j35]Xingguang Zhang
, Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Imaging Through the Atmosphere Using Turbulence Mitigation Transformer. IEEE Trans. Computational Imaging 10: 115-128 (2024)- [j34]Xiangyu Qu, Yiheng Chi, Stanley H. Chan:
Spatially Varying Exposure With 2-by-2 Multiplexing: Optimality and Universality. IEEE Trans. Computational Imaging 10: 261-276 (2024) - [j33]Abhiram Gnanasambandam, Yash Sanghvi, Stanley H. Chan:
The Secrets of Non-Blind Poisson Deconvolution. IEEE Trans. Computational Imaging 10: 343-356 (2024) - [j32]Nicholas Chimitt, Xingguang Zhang, Yiheng Chi, Stanley H. Chan:
Scattering and Gathering for Spatially Varying Blurs. IEEE Trans. Signal Process. 72: 1507-1517 (2024) - [c52]Xingguang Zhang, Nicholas Chimitt, Yiheng Chi, Zhiyuan Mao, Stanley H. Chan:
Spatio-Temporal Turbulence Mitigation: A Translational Perspective. CVPR 2024: 2889-2899 - [c51]Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu:
Generative Quanta Color Imaging. CVPR 2024: 25138-25148 - [c50]Stanley H. Chan, Hashan K. Weerasooriya, Weijian Zhang, Pamela Abshire, István Gyöngy, Robert K. Henderson:
Resolution Limit of Single-Photon LiDAR. CVPR 2024: 25307-25316 - [c49]Yash Sanghvi, Yiheng Chi, Stanley H. Chan:
Kernel Diffusion: An Alternate Approach to Blind Deconvolution. ECCV (59) 2024: 1-20 - [c48]Prateek Chennuri, Yiheng Chi, Enze Jiang, G. M. Dilshan Godaliyadda, Abhiram Gnanasambandam, Hamid R. Sheikh, István Gyöngy, Stanley H. Chan:
Quanta Video Restoration. ECCV (40) 2024: 152-171 - [c47]William C. Yau, Weijian Zhang, Hashan Kavinga Weerasooriya, Stanley H. Chan:
Analysis and Improvement of Rank-Ordered Mean Algorithm in Single-Photon LiDAR. MMSP 2024: 1-6 - [c46]Weijian Zhang, Hashan K. Weerasooriya, Prateek Chennuri, Stanley H. Chan:
Parametric Modeling and Estimation of Photon Registrations for 3D Imaging. MMSP 2024: 1-6 - [c45]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: 6215-6224 - [i44]Xingguang Zhang, Nicholas Chimitt, Yiheng Chi, Zhiyuan Mao, Stanley H. Chan:
Spatio-Temporal Turbulence Mitigation: A Translational Perspective. CoRR abs/2401.04244 (2024) - [i43]Stanley H. Chan, Hashan K. Weerasooriya, Weijian Zhang, Pamela Abshire, István Gyöngy, Robert K. Henderson:
Resolution Limit of Single-Photon LiDAR. CoRR abs/2403.17719 (2024) - [i42]Stanley H. Chan:
Tutorial on Diffusion Models for Imaging and Vision. CoRR abs/2403.18103 (2024) - [i41]Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu:
Generative Quanta Color Imaging. CoRR abs/2403.19066 (2024) - [i40]William C. Yau, Weijian Zhang, Hashan K. Weerasooriya, Stanley H. Chan:
Analysis and Improvement of Rank-Ordered Mean Algorithm in Single-Photon LiDAR. CoRR abs/2407.20399 (2024) - [i39]Prateek Chennuri, Yiheng Chi, Enze Jiang, G. M. Dilshan Godaliyadda, Abhiram Gnanasambandam, Hamid R. Sheikh, István Gyöngy, Stanley H. Chan:
Quanta Video Restoration. CoRR abs/2410.14994 (2024) - 2023
- [j31]Stanley H. Chan, Nicholas Chimitt:
Computational Imaging Through Atmospheric Turbulence. Found. Trends Comput. Graph. Vis. 15(4): 253-508 (2023) - [j30]Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
DROID: Driver-Centric Risk Object Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13683-13698 (2023) - [c44]Yiheng Chi, Xingguang Zhang, Stanley H. Chan:
HDR Imaging with Spatially Varying Signal-to-Noise Ratios. CVPR 2023: 5724-5734 - [c43]Yash Sanghvi, Zhiyuan Mao, Stanley H. Chan:
Structured Kernel Estimation for Photon-Limited Deconvolution. CVPR 2023: 9863-9872 - [c42]Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang:
Physics-Driven Turbulence Image Restoration with Stochastic Refinement. ICCV 2023: 12136-12147 - [c41]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: 875-879 - [i38]Guanzhe Hong, Yin Cui, Ariel Fuxman, Stanley H. Chan, Enming Luo:
Towards Understanding the Effect of Pretraining Label Granularity. CoRR abs/2303.16887 (2023) - [i37]Yiheng Chi, Xingguang Zhang, Stanley H. Chan:
HDR Imaging with Spatially Varying Signal-to-Noise Ratios. CoRR abs/2303.17253 (2023) - [i36]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 abs/2306.17206 (2023) - [i35]Xiangyu Qu, Yiheng Chi, Stanley H. Chan:
Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and Universality. CoRR abs/2306.17367 (2023) - [i34]Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang:
Physics-Driven Turbulence Image Restoration with Stochastic Refinement. CoRR abs/2307.10603 (2023) - 2022
- [j29]Stanley H. Chan:
Tilt-Then-Blur or Blur-Then-Tilt? Clarifying the Atmospheric Turbulence Model. IEEE Signal Process. Lett. 29: 1833-1837 (2022) - [j28]Abhiram Gnanasambandam, Stanley H. Chan:
Exposure-Referred Signal-to-Noise Ratio for Digital Image Sensors. IEEE Trans. Computational Imaging 8: 561-575 (2022) - [j27]Stanley H. Chan:
What Does a One-Bit Quanta Image Sensor Offer? IEEE Trans. Computational Imaging 8: 770-783 (2022) - [j26]Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan:
Photon Limited Non-Blind Deblurring Using Algorithm Unrolling. IEEE Trans. Computational Imaging 8: 851-864 (2022) - [j25]Yash Sanghvi, Abhiram Gnanasambandam, Zhiyuan Mao, Stanley H. Chan:
Photon-Limited Blind Deconvolution Using Unsupervised Iterative Kernel Estimation. IEEE Trans. Computational Imaging 8: 1051-1062 (2022) - [j24]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: 1159-1169 (2022) - [j23]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: 6863-6878 (2022) - [j22]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: 3296-3311 (2022) - [c40]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: 430-446 - [c39]Yash Sanghvi, Abhiram Gnanasambandan, Stanley H. Chan:
Photon-Limited Deblurring Using Algorithm Unrolling. ICASSP 2022: 1576-1580 - [i33]Xingguang Zhang, Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Imaging through the Atmosphere using Turbulence Mitigation Transformer. CoRR abs/2207.06465 (2022) - [i32]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 abs/2207.10040 (2022) - 2021
- [j21]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: 137-150 (2021) - [c38]Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan:
Student-Teacher Learning From Clean Inputs to Noisy Inputs. CVPR 2021: 12075-12084 - [c37]Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar:
Graph Signal Denoising Using Nested-Structured Deep Algorithm Unrolling. ICASSP 2021: 5280-5284 - [c36]Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform. ICCV 2021: 14739-14748 - [c35]Xiangyu Qu, Stanley H. Chan:
Detecting and Segmenting Adversarial Graphics Patterns from Images. ICCVW 2021: 71-80 - [c34]Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan:
Optical Adversarial Attack. ICCVW 2021: 92-101 - [c33]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: 3959-3970 - [i31]Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan:
Student-Teacher Learning from Clean Inputs to Noisy Inputs. CoRR abs/2103.07600 (2021) - [i30]Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
Driver-centric Risk Object Identification. CoRR abs/2106.13201 (2021) - [i29]Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar:
Graph Signal Restoration Using Nested Deep Algorithm Unrolling. CoRR abs/2106.15910 (2021) - [i28]Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform. CoRR abs/2107.11627 (2021) - [i27]Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan:
Optical Adversarial Attack. CoRR abs/2108.06247 (2021) - [i26]Xiangyu Qu, Stanley H. Chan:
Detecting and Segmenting Adversarial Graphics Patterns from Images. CoRR abs/2108.09383 (2021) - [i25]Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan:
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement. CoRR abs/2111.04946 (2021) - 2020
- [j20]Xiran Wang, Jason Juang, Stanley H. Chan:
Automatic foreground extraction from imperfect backgrounds using multi-agent consensus equilibrium. J. Vis. Commun. Image Represent. 72: 102907 (2020) - [j19]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): 105-116 (2020) - [j18]Omar A. Elgendy, Stanley H. Chan:
Color Filter Arrays for Quanta Image Sensors. IEEE Trans. Computational Imaging 6: 652-665 (2020) - [j17]Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Image Reconstruction of Static and Dynamic Scenes Through Anisoplanatic Turbulence. IEEE Trans. Computational Imaging 6: 1415-1428 (2020) - [j16]Abhiram Gnanasambandam, Stanley H. Chan:
HDR Imaging With Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction. IEEE Trans. Computational Imaging 6: 1571-1585 (2020) - [c32]Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan:
Dynamic Low-Light Imaging with Quanta Image Sensors. ECCV (21) 2020: 122-138 - [c31]Abhiram Gnanasambandam, Stanley H. Chan:
Image Classification in the Dark Using Quanta Image Sensors. ECCV (8) 2020: 484-501 - [c30]Nicholas Chimitt, Stanley H. Chan:
Simulating Anisoplanatic Turbulence by Sampling Correlated Zernike Coefficients. ICCP 2020: 1-12 - [c29]Abhiram Gnanasambandam, Stanley H. Chan:
One Size Fits All: Can We Train One Denoiser for All Noise Levels? ICML 2020: 3576-3586 - [c28]Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen:
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. ICRA 2020: 8418-8424 - [c27]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: 10711-10718 - [i24]Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference. CoRR abs/2003.02425 (2020) - [i23]Nicholas Chimitt, Stanley H. Chan:
Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients. CoRR abs/2004.11210 (2020) - [i22]Abhiram Gnanasambandam, Stanley H. Chan:
One Size Fits All: Can We Train One Denoiser for All Noise Levels? CoRR abs/2005.09627 (2020) - [i21]Abhiram Gnanasambandam, Stanley H. Chan:
Image Classification in the Dark using Quanta Image Sensors. CoRR abs/2006.02026 (2020) - [i20]Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan:
Dynamic Low-light Imaging with Quanta Image Sensors. CoRR abs/2007.08614 (2020) - [i19]Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence. CoRR abs/2009.00071 (2020) - [i18]Abhiram Gnanasambandam, Stanley H. Chan:
HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction. CoRR abs/2011.03614 (2020)
2010 – 2019
- 2019
- [j15]Stanley H. Chan:
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective. IEEE Trans. Computational Imaging 5(2): 274-286 (2019) - [j14]Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan:
Optimal Combination of Image Denoisers. IEEE Trans. Image Process. 28(8): 4016-4031 (2019) - [c26]Yoshinao Yazaki, Yuichi Tanaka, Stanley H. Chan:
Interpolation and Denoising of Graph Signals Using Plug-and-play Admm. ICASSP 2019: 5431-5435 - [i17]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 abs/1903.08616 (2019) - [i16]Abhiram Gnanasambandam, Omar A. Elgendy, Jiaju Ma, Stanley H. Chan:
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor. CoRR abs/1903.09036 (2019) - [i15]Omar A. Elgendy, Stanley H. Chan:
Color Filter Arrays for Quanta Image Sensors. CoRR abs/1903.09823 (2019) - [i14]Nicholas Chimitt, Zhiyuan Mao, Guanzhe Hong, Stanley H. Chan:
Rethinking Atmospheric Turbulence Mitigation. CoRR abs/1905.07498 (2019) - [i13]Chengxi Li, Yue Meng, Stanley H. Chan, Yi-Ting Chen:
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks. CoRR abs/1909.09272 (2019) - 2018
- [j13]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): 1416 (2018) - [j12]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): 2001-2020 (2018) - [j11]Omar A. Elgendy, Stanley H. Chan:
Optimal Threshold Design for Quanta Image Sensor. IEEE Trans. Computational Imaging 4(1): 99-111 (2018) - [c25]Yiheng Chi, Stanley H. Chan:
Fast And Robust Recursive Filter for Image Denoising. ICASSP 2018: 1708-1712 - [c24]Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan:
Image Reconstruction for Quanta Image Sensors Using Deep Neural Networks. ICASSP 2018: 6543-6547 - [i12]Xiran Wang, Jason Juang, Stanley H. Chan:
Automatic Foreground Extraction using Multi-Agent Consensus Equilibrium. CoRR abs/1808.08210 (2018) - [i11]Stanley H. Chan:
Performance Analysis of Plug-and-Play ADMM: A Graph Signal Processing Perspective. CoRR abs/1809.00020 (2018) - 2017
- [j10]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): 84-98 (2017) - [j9]Stanley H. Chan, Todd E. Zickler, Yue M. Lu:
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective. IEEE Trans. Image Process. 26(11): 5107-5121 (2017) - [c23]Xiran Wang, Stanley H. Chan:
Parameter-free Plug-and-Play ADMM for image restoration. ICASSP 2017: 1323-1327 - [c22]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: 6180-6184 - [i10]Omar A. Elgendy, Stanley H. Chan:
Optimal Threshold Design for Quanta Image Sensor. CoRR abs/1704.03886 (2017) - [i9]Joon Hee Choi, Omar A. Elgendy, Stanley H. Chan:
Integrating Disparate Sources of Experts for Robust Image Denoising. CoRR abs/1711.06712 (2017) - 2016
- [j8]Stanley H. Chan, Omar A. Elgendy, Xiran Wang:
Images from Bits: Non-Iterative Image Reconstruction for Quanta Image Sensors. Sensors 16(11): 1961 (2016) - [j7]Enming Luo, Stanley H. Chan, Truong Q. Nguyen:
Adaptive Image Denoising by Mixture Adaptation. IEEE Trans. Image Process. 25(10): 4489-4503 (2016) - [c21]Omar A. Elgendy, Stanley H. Chan:
Image reconstruction and threshold design for Quanta Image Sensors. ICIP 2016: 978-982 - [i8]Stanley H. Chan, Todd E. Zickler, Yue M. Lu:
Demystifying Symmetric Smoothing Filters. CoRR abs/1601.00088 (2016) - [i7]Enming Luo, Stanley H. Chan, Truong Q. Nguyen:
Adaptive Image Denoising by Mixture Adaptation. CoRR abs/1601.04770 (2016) - [i6]Stanley H. Chan:
Algorithm-Induced Prior for Image Restoration. CoRR abs/1602.00715 (2016) - [i5]Stanley H. Chan, Xiran Wang, Omar A. Elgendy:
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications. CoRR abs/1605.01710 (2016) - 2015
- [j6]Lee-Kang Liu, Stanley H. Chan, Truong Q. Nguyen:
Depth Reconstruction From Sparse Samples: Representation, Algorithm, and Sampling. IEEE Trans. Image Process. 24(6): 1983-1996 (2015) - [j5]Enming Luo, Stanley H. Chan, Truong Q. Nguyen:
Adaptive Image Denoising by Targeted Databases. IEEE Trans. Image Process. 24(7): 2167-2181 (2015) - [c20]Stanley H. Chan, Enming Luo, Truong Q. Nguyen:
Adaptive patch-based image denoising by EM-adaptation. GlobalSIP 2015: 810-814 - [c19]Stanley H. Chan, Todd E. Zickler, Yue M. Lu:
Understanding symmetric smoothing filters via Gaussian mixtures. ICIP 2015: 2500-2504 - 2014
- [j4]Stanley H. Chan, Todd E. Zickler, Yue M. Lu:
Monte Carlo Non-Local Means: Random Sampling for Large-Scale Image Filtering. IEEE Trans. Image Process. 23(8): 3711-3725 (2014) - [c18]Stanley H. Chan, Yue M. Lu:
Efficient image reconstruction for gigapixel quantum image sensors. GlobalSIP 2014: 312-316 - [c17]Enming Luo, Stanley H. Chan, Truong Q. Nguyen:
Image denoising by targeted external databases. ICASSP 2014: 2450-2454 - [c16]Stanley H. Chan, Edoardo M. Airoldi:
A Consistent Histogram Estimator for Exchangeable Graph Models. ICML 2014: 208-216 - [i4]Lee-Kang Liu, Stanley H. Chan, Truong Q. Nguyen:
Sparse Reconstruction of Depth Data: Representation, Algorithm, and Sampling. CoRR abs/1407.3840 (2014) - [i3]Enming Luo, Stanley H. Chan, Truong Q. Nguyen:
Adaptive Image Denoising by Targeted Databases. CoRR abs/1407.5055 (2014) - 2013
- [c15]Stanley H. Chan, Thiago B. Costa, Edoardo M. Airoldi:
Estimation of exchangeable graph models by stochastic blockmodel approximation. GlobalSIP 2013: 293-296 - [c14]Stanley H. Chan, Todd E. Zickler, Yue M. Lu:
Fast non-local filtering by random sampling: It works, especially for large images. ICASSP 2013: 1603-1607 - [c13]Enming Luo, Stanley H. Chan, Shengjun Pan, Truong Q. Nguyen:
Adaptive non-local means for multiview image denoising: Searching for the right patches via a statistical approach. ICIP 2013: 543-547 - [c12]Edoardo M. Airoldi, Thiago B. Costa, Stanley H. Chan:
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation. NIPS 2013: 692-700 - [i2]Edoardo M. Airoldi, Thiago B. Costa, Stanley H. Chan:
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation. CoRR abs/1311.1731 (2013) - [i1]Stanley H. Chan, Todd E. Zickler, Yue M. Lu:
Monte Carlo non local means: Random sampling for large-scale image filtering. CoRR abs/1312.7366 (2013) - 2012
- [c11]Lee-Kang Liu, Truong Q. Nguyen, Stanley H. Chan:
Do we really need Gaussian filters for feature point detection? EUSIPCO 2012: 131-135 - [c10]Daniel R. Pipa, Stanley H. Chan, Truong Q. Nguyen:
Directional decomposition based total variation image restoration. EUSIPCO 2012: 1558-1562 - 2011
- [j3]Stanley H. Chan, Truong Q. Nguyen:
LCD Motion Blur: Modeling, Analysis, and Algorithm. IEEE Trans. Image Process. 20(8): 2352-2365 (2011) - [j2]Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gibson, Philip E. Gill, Truong Q. Nguyen:
An Augmented Lagrangian Method for Total Variation Video Restoration. IEEE Trans. Image Process. 20(11): 3097-3111 (2011) - [c9]Ramsin Khoshabeh, Stanley H. Chan, Truong Q. Nguyen:
Spatio-temporal consistency in video disparity estimation. ICASSP 2011: 885-888 - [c8]Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gibson, Philip E. Gill, Truong Q. Nguyen:
An augmented Lagrangian method for video restoration. ICASSP 2011: 941-944 - [c7]Stanley H. Chan, Truong Q. Nguyen:
Single image spatially variant out-of-focus blur removal. ICIP 2011: 677-680 - 2010
- [j1]Stanley H. Chan, Thomas X. Wu, Truong Q. Nguyen:
Comparison of Two Frame Rate Conversion Schemes for Reducing LCD Motion Blurs. IEEE Signal Process. Lett. 17(9): 783-786 (2010) - [c6]Stanley H. Chan, Dung Trung Vo, Truong Q. Nguyen:
Subpixel motion estimation without interpolation. ICASSP 2010: 722-725 - [c5]Shay Har-Noy, Stanley H. Chan, Truong Q. Nguyen:
Demosaicking imageswith motion blur. ICASSP 2010: 1006-1009 - [c4]Stanley H. Chan:
Constructing a sparse convolution matrix for shift varying image restoration problems. ICIP 2010: 3601-3604 - [c3]Stanley H. Chan, Truong Q. Nguyen:
LCD motion blur modeling and simulation. ICME 2010: 400-405
2000 – 2009
- 2009
- [c2]Stanley H. Chan, Truong Q. Nguyen:
Fast LCD motion deblurring by decimation and optimization. ICASSP 2009: 1201-1204 - 2008
- [c1]Stanley H. Chan, Edmund Y. Lam:
Inverse image problem of designing phase shifting masks in optical lithography. ICIP 2008: 1832-1835
Coauthor Index
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last updated on 2025-01-21 00:08 CET by the dblp team
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