publications

2023

1. Optics Express

   Rapid single-photon color imaging of moving objects

   Dan Yao, Peter WR Connolly, Arran J Sykes, and 7 more authors

   Optics Express, 2023

   Bib HTML

   @article{yao2023rapid,
     title = {Rapid single-photon color imaging of moving objects},
     author = {Yao, Dan and Connolly, Peter WR and Sykes, Arran J and Shah, Yash D and Accarino, Claudio and Grant, James and Cumming, David RS and Buller, Gerald S and McLaughlin, Stephen and Altmann, {Yoann}},
     journal = {Optics Express},
     volume = {31},
     number = {16},
     pages = {26610--26625},
     year = {2023},
     publisher = {Optica Publishing Group}
   }

2022

1. ICIP

   Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation

   Dan Yao, Yoann Altmann, and Stephen McLaughlin

   In 2022 IEEE International Conference on Image Processing (ICIP), 2022

   Bib HTML

   @inproceedings{yao2022color,
     title = {Color Image Restoration in the Low Photon-Count Regime Using Expectation Propagation},
     author = {Yao, Dan and Altmann, {Yoann} and McLaughlin, Stephen},
     booktitle = {2022 IEEE International Conference on Image Processing (ICIP)},
     pages = {3126--3130},
     year = {2022},
     organization = {IEEE}
   }

2. 2022 SSPD

   Unsupervised Expectation Propagation Method for Large-Scale Sparse Linear Inverse Problems

   Dan Yao, Stephen McLaughlin, and Yoann Altmann

   In 2022 Sensor Signal Processing for Defence Conference (SSPD), 2022

   Bib HTML

   @inproceedings{yao2022unsupervised,
     title = {Unsupervised Expectation Propagation Method for Large-Scale Sparse Linear Inverse Problems},
     author = {Yao, Dan and McLaughlin, Stephen and Altmann, Yoann},
     booktitle = {2022 Sensor Signal Processing for Defence Conference (SSPD)},
     pages = {1--5},
     year = {2022},
     organization = {IEEE}
   }

3. 2022 SSPD

   Efficient joint surface detection and depth estimation of single-photon Lidar data using assumed density filtering

   Kristofer Drummond, Dan Yao, Agata Pawlikowska, and 3 more authors

   In 2022 Sensor Signal Processing for Defence Conference (SSPD), 2022

   Bib HTML

   @inproceedings{drummond2022efficient,
     title = {Efficient joint surface detection and depth estimation of single-photon Lidar data using assumed density filtering},
     author = {Drummond, Kristofer and Yao, Dan and Pawlikowska, Agata and Lamb, Robert and McLaughlin, Stephen and Altmann, Yoann},
     booktitle = {2022 Sensor Signal Processing for Defence Conference (SSPD)},
     pages = {1--5},
     year = {2022},
     organization = {IEEE}
   }

4. IEEE TIP

   Fast scalable image restoration using total variation priors and expectation propagation

   Dan Yao, Stephen McLaughlin, and Yoann Altmann

   IEEE Transactions on Image Processing, 2022

   Bib HTML

   @article{yao2022fast,
     title = {Fast scalable image restoration using total variation priors and expectation propagation},
     author = {Yao, Dan and McLaughlin, Stephen and Altmann, Yoann},
     journal = {IEEE Transactions on Image Processing},
     volume = {31},
     pages = {5762--5773},
     year = {2022},
     publisher = {IEEE}
   }

5. SIAM

   Patch-based image restoration using expectation propagation

   Dan Yao, Stephen McLaughlin, and Yoann Altmann

   SIAM Journal on Imaging Sciences, 2022

   Bib HTML

   @article{yao2022patch,
     title = {Patch-based image restoration using expectation propagation},
     author = {Yao, Dan and McLaughlin, Stephen and Altmann, Yoann},
     journal = {SIAM Journal on Imaging Sciences},
     volume = {15},
     number = {1},
     pages = {192--227},
     year = {2022},
     publisher = {SIAM}
   }

2021

1. 2021 EUSIPCO

   Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation

   Abdullah Abdulaziz, Dan Yao, Yoann Altmann, and 1 more author

   In 2021 29th European Signal Processing Conference (EUSIPCO), 2021

   Bib HTML

   @inproceedings{abdulaziz2021blind,
     title = {Blind deconvolution of images corrupted by Gaussian noise using Expectation Propagation},
     author = {Abdulaziz, Abdullah and Yao, Dan and Altmann, Yoann and McLaughlin, Stephen},
     booktitle = {2021 29th European Signal Processing Conference (EUSIPCO)},
     pages = {1970--1974},
     year = {2021},
     organization = {IEEE}
   }

2020

1. 2020 EUSIPCO

   Joint robust linear regression and anomaly detection in Poisson noise using expectation-propagation

   Dan Yao, Yoann Altmann, Steve McLaughlin, and 1 more author

   In 2020 28th European Signal Processing Conference (EUSIPCO), 2020

   Bib HTML

   @inproceedings{yao2021joint,
     title = {Joint robust linear regression and anomaly detection in Poisson noise using expectation-propagation},
     author = {Yao, Dan and Altmann, Yoann and McLaughlin, Steve and Davies, Mike E},
     booktitle = {2020 28th European Signal Processing Conference (EUSIPCO)},
     pages = {2463--2467},
     year = {2020},
     organization = {IEEE}
   }

2019

1. 2019 WCCM

   Robust linear regression and anomaly detection in the presence of poisson noise using expectation-propagation

   Yoann Altmann, Dan Yao, Stephen McLaughlin, and 1 more author

   In Advances in Condition Monitoring and Structural Health Monitoring: WCCM 2019, 2019

   Bib HTML

   @inproceedings{altmann2021robust,
     title = {Robust linear regression and anomaly detection in the presence of poisson noise using expectation-propagation},
     author = {Altmann, Yoann and Yao, Dan and McLaughlin, Stephen and Davies, Mike E},
     booktitle = {Advances in Condition Monitoring and Structural Health Monitoring: WCCM 2019},
     pages = {143--158},
     year = {2019},
     organization = {Springer}
   }

2017

1. Remote Sensing

   A new low-rank representation based hyperspectral image denoising method for mineral mapping

   Lianru Gao, Dan Yao, Qingting Li, and 3 more authors

   Remote Sensing, 2017

   Bib HTML

   @article{gao2017new,
     title = {A new low-rank representation based hyperspectral image denoising method for mineral mapping},
     author = {Gao, Lianru and Yao, Dan and Li, Qingting and Zhuang, Lina and Zhang, Bing and Bioucas-Dias, Jos{\'e} M},
     journal = {Remote Sensing},
     volume = {9},
     number = {11},
     pages = {1145},
     year = {2017},
     publisher = {MDPI}
   }

2. 2017 IGARSS

   Hyperspectral image inpainting based on low-rank representation: A case study on Tiangong-1 data

   Dan Yao, Lina Zhuang, Lianru Gao, and 2 more authors

   In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

   Bib HTML

   @inproceedings{yao2017hyperspectral,
     title = {Hyperspectral image inpainting based on low-rank representation: A case study on Tiangong-1 data},
     author = {Yao, Dan and Zhuang, Lina and Gao, Lianru and Zhang, Bing and Bioucas-Dias, Jos{\'e} M},
     booktitle = {2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
     pages = {3409--3412},
     year = {2017},
     organization = {IEEE}
   }