Computer Vision for Materials Science
Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth-
[pdf]
[arXiv]
[bibtex]@InProceedings{Safavigerdini_2025_ICCV, author = {Safavigerdini, Kaveh and Surya, Ramakrishna and Collins, Jaired and Calyam, Prasad and Bunyak, Filiz and Maschmann, Matthew and Palaniappan, Kannappan}, title = {Automated Feature Tracking for Real-Time Kinematic Analysis and Shape Estimation of Carbon Nanotube Growth}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3564-3564} }
Application of Semantic Segmentation on SEM Images of Rubber Composites and Verification of Correlation with Material Properties-
[pdf]
[bibtex]@InProceedings{Sakamoto_2025_ICCV, author = {Sakamoto, Sho and Miyoshi, Wakana and Oishi, Kentaro and Asami, Ryuta and Kobayashi, Akira and Iwana, Hiroki and Tokunaga, Taichi and Motohashi, Yosuke}, title = {Application of Semantic Segmentation on SEM Images of Rubber Composites and Verification of Correlation with Material Properties}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3584-3592} }
AI-Driven Analysis of Fracture Types in Metallic Materials: Classification, Segmentation, and Quantification with Deep Neural Networks-
[pdf]
[bibtex]@InProceedings{Wojcicka_2025_ICCV, author = {W\'ojcicka, Anna and Wojtulewicz, Mateusz and Brodzicki, Andrzej and Leonkiewicz, Magdalena and Maciejewski, Patryk and Jaworek-Korjakowska, Joanna and Mroczka, Krzysztof}, title = {AI-Driven Analysis of Fracture Types in Metallic Materials: Classification, Segmentation, and Quantification with Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3641-3649} }
Neural Object Detection for 4D-STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Genc_2025_ICCV, author = {Genc, Arda and Silverstein, Ravit}, title = {Neural Object Detection for 4D-STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3565-3575} }
Unveiling Process-Structure Mapping with a Deep Variational Autoencoder-
[pdf]
[supp]
[bibtex]@InProceedings{Mishra_2025_ICCV, author = {Mishra, Avanish and Hamilton, Brenden William and Nitol, Mashroor Shafat and Mathew, Nithin and Barros, Kipton Marcos and Germann, Timothy Clark and Fensin, Saryu Jindal}, title = {Unveiling Process-Structure Mapping with a Deep Variational Autoencoder}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3593-3602} }
SAM- and mSAM- Based Inference of Nuclear Materials Processing History from SEM Imagery-
[pdf]
[bibtex]@InProceedings{Mendoza_2025_ICCV, author = {Mendoza, Mayolo Valencia and Skurikhin, Alexei and Cohn, Judith and Mcdonald, Luther and Sentz, Kari}, title = {SAM- and mSAM- Based Inference of Nuclear Materials Processing History from SEM Imagery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3614-3621} }
A Transformer-Based GAN Architecture for Simulating Carbon Nanotube Structures in the Frequency Domain-
[pdf]
[bibtex]@InProceedings{Bohl_2025_ICCV, author = {Bohl, Trevor and Attari, Minasadat and Maschmann, Matthew and Bunyak, Filiz}, title = {A Transformer-Based GAN Architecture for Simulating Carbon Nanotube Structures in the Frequency Domain}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3650-3655} }
MatSSL: Robust Self-Supervised Representation Learning for Metallographic Image Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nguyen_2025_ICCV, author = {Nguyen, Hoang Hai Nam and Hieu, Phan Nguyen Duc and Lee, Ho Won}, title = {MatSSL: Robust Self-Supervised Representation Learning for Metallographic Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3576-3583} }
AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2025_ICCV, author = {Wang, Hao and Zheng, Hongkui and He, Kai and Razi, Abolfazl}, title = {AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3631-3640} }
Improving U-Net Confidence on TEM Image Data with L2-Regularization, Transfer Learning, and Deep Fine-Tuning-
[pdf]
[supp]
[bibtex]@InProceedings{Ochoa_2025_ICCV, author = {Ochoa, Aiden and Xu, Xinyuan and Wang, Xing}, title = {Improving U-Net Confidence on TEM Image Data with L2-Regularization, Transfer Learning, and Deep Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3622-3630} }
Improving Multislice Electron Ptychography with a Generative Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Belardi_2025_ICCV, author = {Belardi, Christian and Lee, Chia-Hao and Wang, Yingheng and Lovelace, Justin and Weinberger, Kilian and Muller, David and Gomes, Carla}, title = {Improving Multislice Electron Ptychography with a Generative Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {3603-3613} }