Computer Vision for Materials Science Workshop
Damage Detection and Localization by Learning Deep Features of Elastic Waves in Piezoelectric Ceramic Using Point Contact Method-
[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-
[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-
[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-
[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-
[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-
[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-
[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} }