Computer Vision for Materials Science Workshop

Damage Detection and Localization by Learning Deep Features of Elastic Waves in Piezoelectric Ceramic Using Point Contact Method

Pragyan Banerjee,

Pranjal Saxena,

Nur M M Kalimullah,

Amit Shelke,

Anowarul Habib

[pdf]

[bibtex]

@InProceedings{Banerjee_2024_CVPR, author = {Banerjee, Pragyan and Saxena, Pranjal and Kalimullah, Nur M M and Shelke, Amit and Habib, Anowarul}, title = {Damage Detection and Localization by Learning Deep Features of Elastic Waves in Piezoelectric Ceramic Using Point Contact Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {63-70} }

Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy

Bashir Kazimi,

Karina Ruzaeva,

Stefan Sandfeld

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kazimi_2024_CVPR, author = {Kazimi, Bashir and Ruzaeva, Karina and Sandfeld, Stefan}, title = {Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {71-81} }

Learning Microstructure--Property Relationships in Materials with Robust Features from Vision Transformers

Sheila E. Whitman,

Guangyu Hu,

Marat I. Latypov

[pdf]

[bibtex]

@InProceedings{Whitman_2024_CVPR, author = {Whitman, Sheila E. and Hu, Guangyu and Latypov, Marat I.}, title = {Learning Microstructure--Property Relationships in Materials with Robust Features from Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {8125-8130} }

Segment Anything Model for Grain Characterization in Hard Drive Design

Kai Nichols,

Matthew Hauwiller,

Nicholas Propes,

Shaowei Wu,

Stephanie Hernandez,

Mike Kautzky

[pdf] [arXiv]

[bibtex]

@InProceedings{Nichols_2024_CVPR, author = {Nichols, Kai and Hauwiller, Matthew and Propes, Nicholas and Wu, Shaowei and Hernandez, Stephanie and Kautzky, Mike}, title = {Segment Anything Model for Grain Characterization in Hard Drive Design}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {8120-8124} }

CS-UNet: A Flexible Segmentation Algorithm for Microscopy Images

Khaled Alrfou,

Tian Zhao,

Amir Kordijaz

[pdf]

[bibtex]

@InProceedings{Alrfou_2024_CVPR, author = {Alrfou, Khaled and Zhao, Tian and Kordijaz, Amir}, title = {CS-UNet: A Flexible Segmentation Algorithm for Microscopy Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {8114-8119} }

Training Neural Networks to Classify Chiral Nanoparticle Stereopairs Using Weakly Labelled Datasets

Alexander J Pattison,

Mary Scott,

Peter Ercius,

Wolfgang Theis

[pdf]

[bibtex]

@InProceedings{Pattison_2024_CVPR, author = {Pattison, Alexander J and Scott, Mary and Ercius, Peter and Theis, Wolfgang}, title = {Training Neural Networks to Classify Chiral Nanoparticle Stereopairs Using Weakly Labelled Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {8338-8342} }

VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces

Tak Ming Wong,

Julian Moosmann,

Berit Zeller-Plumhoff

[pdf]

[bibtex]

@InProceedings{Wong_2024_CVPR, author = {Wong, Tak Ming and Moosmann, Julian and Zeller-Plumhoff, Berit}, title = {VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {53-62} }