CVPR 2023 Open Access Repository

8th Workshop on Computer Vision for Microscopy Image Analysis

RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods: Maciej Sypetkowski,

Morteza Rezanejad,

Saber Saberian,

Oren Kraus,

John Urbanik,

James Taylor,

Ben Mabey,

Mason Victors,

Jason Yosinski,

Alborz Rezazadeh Sereshkeh,

Imran Haque,

Berton Earnshaw; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sypetkowski_2023_CVPR, author = {Sypetkowski, Maciej and Rezanejad, Morteza and Saberian, Saber and Kraus, Oren and Urbanik, John and Taylor, James and Mabey, Ben and Victors, Mason and Yosinski, Jason and Sereshkeh, Alborz Rezazadeh and Haque, Imran and Earnshaw, Berton}, title = {RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4285-4294} }
An Ensemble Method With Edge Awareness for Abnormally Shaped Nuclei Segmentation: Yue Han,

Yang Lei,

Viktor Shkolnikov,

Daisy Xin,

Alicia Auduong,

Steven Barcelo,

Jan Allebach,

Edward J. Delp; [pdf]
[bibtex]
@InProceedings{Han_2023_CVPR, author = {Han, Yue and Lei, Yang and Shkolnikov, Viktor and Xin, Daisy and Auduong, Alicia and Barcelo, Steven and Allebach, Jan and Delp, Edward J.}, title = {An Ensemble Method With Edge Awareness for Abnormally Shaped Nuclei Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4315-4325} }
New Bayesian Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition: Natalia Khanzhina,

Maxim Kashirin,

Andrey Filchenkov; [pdf]
[bibtex]
@InProceedings{Khanzhina_2023_CVPR, author = {Khanzhina, Natalia and Kashirin, Maxim and Filchenkov, Andrey}, title = {New Bayesian Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4253-4262} }
Theia: Bleed-Through Estimation With Convolutional Neural Networks: Najib Ishaq,

Nathan Hotaling,

Nicholas Schaub; [pdf]
[bibtex]
@InProceedings{Ishaq_2023_CVPR, author = {Ishaq, Najib and Hotaling, Nathan and Schaub, Nicholas}, title = {Theia: Bleed-Through Estimation With Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4244-4252} }
Giga-SSL: Self-Supervised Learning for Gigapixel Images: Tristan Lazard,

Marvin Lerousseau,

Etienne Decencière,

Thomas Walter; [pdf]
[bibtex]
@InProceedings{Lazard_2023_CVPR, author = {Lazard, Tristan and Lerousseau, Marvin and Decenci\`ere, Etienne and Walter, Thomas}, title = {Giga-SSL: Self-Supervised Learning for Gigapixel Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4305-4314} }
Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy: Wolfgang M. Pernice,

Michael Doron,

Alex Quach,

Aditya Pratapa,

Sultan Kenjeyev,

Nicholas De Veaux,

Michio Hirano,

Juan C. Caicedo; [pdf]
[bibtex]
@InProceedings{Pernice_2023_CVPR, author = {Pernice, Wolfgang M. and Doron, Michael and Quach, Alex and Pratapa, Aditya and Kenjeyev, Sultan and De Veaux, Nicholas and Hirano, Michio and Caicedo, Juan C.}, title = {Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4326-4335} }
One-Shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt: Sota Kato,

Kazuhiro Hotta; [pdf] [arXiv]
[bibtex]
@InProceedings{Kato_2023_CVPR, author = {Kato, Sota and Hotta, Kazuhiro}, title = {One-Shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4295-4304} }
Fast Local Thickness: Vedrana Andersen Dahl,

Anders Bjorholm Dahl; [pdf]
[bibtex]
@InProceedings{Dahl_2023_CVPR, author = {Dahl, Vedrana Andersen and Dahl, Anders Bjorholm}, title = {Fast Local Thickness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4336-4344} }
A Super-Resolution Training Paradigm Based on Low-Resolution Data Only To Surpass the Technical Limits of STEM and STM Microscopy: Björn Möller,

Jan Pirklbauer,

Marvin Klingner,

Peer Kasten,

Markus Etzkorn,

Tim J. Seifert,

Uta Schlickum,

Tim Fingscheidt; [pdf]
[bibtex]
@InProceedings{Moller_2023_CVPR, author = {M\"oller, Bj\"orn and Pirklbauer, Jan and Klingner, Marvin and Kasten, Peer and Etzkorn, Markus and Seifert, Tim J. and Schlickum, Uta and Fingscheidt, Tim}, title = {A Super-Resolution Training Paradigm Based on Low-Resolution Data Only To Surpass the Technical Limits of STEM and STM Microscopy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4263-4272} }
Learning To Correct Sloppy Annotations in Electron Microscopy Volumes: Minghao Chen,

Mukesh Bangalore Renuka,

Lu Mi,

Jeff Lichtman,

Nir Shavit,

Yaron Meirovitch; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2023_CVPR, author = {Chen, Minghao and Renuka, Mukesh Bangalore and Mi, Lu and Lichtman, Jeff and Shavit, Nir and Meirovitch, Yaron}, title = {Learning To Correct Sloppy Annotations in Electron Microscopy Volumes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4273-4284} }