CVPR 2026 Open Access Repository

4th Workshop on Vision Based Industrial Inspection

Dataset and Baseline Method for Long-range X-ray Image Enhancement, 3D Reconstruction, and Object Recognition: Riley C W O'Neill,

Eric Smith,

Stephen J Coleman,

Dzenan Zukic,

Scott McCloskey; [pdf]
[bibtex]
@InProceedings{O'Neill_2026_CVPR, author = {O'Neill, Riley C W and Smith, Eric and Coleman, Stephen J and Zukic, Dzenan and McCloskey, Scott}, title = {Dataset and Baseline Method for Long-range X-ray Image Enhancement, 3D Reconstruction, and Object Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7298-7308} }
CT-DegradBench: A Physics-Informed Benchmark for CT Degradation Detection and Severity Estimation: Yousra Nabila Taifour,

Marouane Tliba,

Zuheng Ming,

Marie Luong,

Nour Aburaed,

Aladine Chetouani,

Gorkem Durak,

Alessandro Bruno,

Faouzi Alaya Cheikh,

Habib Zaidi,

Ulas Bagci,

Azeddine Beghdadi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Taifour_2026_CVPR, author = {Taifour, Yousra Nabila and Tliba, Marouane and Ming, Zuheng and Luong, Marie and Aburaed, Nour and Chetouani, Aladine and Durak, Gorkem and Bruno, Alessandro and Cheikh, Faouzi Alaya and Zaidi, Habib and Bagci, Ulas and Beghdadi, Azeddine}, title = {CT-DegradBench: A Physics-Informed Benchmark for CT Degradation Detection and Severity Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7329-7337} }
RAGT-Net: Robust Adversarial Geometric Tension for Box-Supervised Industrial Defect Segmentation: Zhiqian He,

Yajun Chen,

Erhu Zhang,

Zequan Huang,

Zhujun Zhang,

Yunjing Liu; [pdf] [supp]
[bibtex]
@InProceedings{He_2026_CVPR, author = {He, Zhiqian and Chen, Yajun and Zhang, Erhu and Huang, Zequan and Zhang, Zhujun and Liu, Yunjing}, title = {RAGT-Net: Robust Adversarial Geometric Tension for Box-Supervised Industrial Defect Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7269-7277} }
Fractional-Gradient Sparsity with Autoencoding Sequential Deep Image Prior for 3D CT Reconstruction: Haijie Yuan,

Chaoyan Huang,

Srijita Bandopadhyay,

Liyue Shen,

Saiprasad Ravishankar; [pdf] [supp]
[bibtex]
@InProceedings{Yuan_2026_CVPR, author = {Yuan, Haijie and Huang, Chaoyan and Bandopadhyay, Srijita and Shen, Liyue and Ravishankar, Saiprasad}, title = {Fractional-Gradient Sparsity with Autoencoding Sequential Deep Image Prior for 3D CT Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7358-7367} }
FALCON : Fine-grained Alignment for Counting Objects in Industry: Suhye Cho,

Younghun Byeon,

Sang Jun Park,

Jun-Seok Yun,

Ye jin Kim,

Hong-In Won,

Min Su Kim,

Jong Pil Yun; [pdf]
[bibtex]
@InProceedings{Cho_2026_CVPR, author = {Cho, Suhye and Byeon, Younghun and Park, Sang Jun and Yun, Jun-Seok and Kim, Ye jin and Won, Hong-In and Kim, Min Su and Yun, Jong Pil}, title = {FALCON : Fine-grained Alignment for Counting Objects in Industry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7230-7239} }
Physics-Conditioned Video Diffusion for Nuclear Fusion Capsule Polishing Process Synthesis: Shashank Galla,

Abhishek Hanchate,

Sean Hayes,

Monika Biener,

Suhas Bhandarkar,

Satish Bukkapatnam; [pdf]
[bibtex]
@InProceedings{Galla_2026_CVPR, author = {Galla, Shashank and Hanchate, Abhishek and Hayes, Sean and Biener, Monika and Bhandarkar, Suhas and Bukkapatnam, Satish}, title = {Physics-Conditioned Video Diffusion for Nuclear Fusion Capsule Polishing Process Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7250-7259} }
GuidedFlow: An Attention-Guided Framework for Anomaly Detection in Additive Manufacturing: Sosmita Paul,

Krishna Roy; [pdf]
[bibtex]
@InProceedings{Paul_2026_CVPR, author = {Paul, Sosmita and Roy, Krishna}, title = {GuidedFlow: An Attention-Guided Framework for Anomaly Detection in Additive Manufacturing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7309-7318} }
RadioCore: Few-Shot Industrial Anomaly Segmentation with Multi-Scale Radio ViT Features: Mohammed Ahmed Mohammed Eltoum Mohammed Ali,

Ehtesham Iqbal,

Samee Ullah Khan,

Yusra Abdulrahman; [pdf]
[bibtex]
@InProceedings{Ali_2026_CVPR, author = {Ali, Mohammed Ahmed Mohammed Eltoum Mohammed and Iqbal, Ehtesham and Khan, Samee Ullah and Abdulrahman, Yusra}, title = {RadioCore: Few-Shot Industrial Anomaly Segmentation with Multi-Scale Radio ViT Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7288-7297} }
CryoGEN-II: Cryogenic Electron Tomography Reconstruction via Generative Network: Yunfei Teng,

Xinyu Chen,

He Zhang,

Zhichao Chen,

Yulei Hung,

Sha Hu,

Qiwei Ye,

Zhouchen Lin; [pdf] [supp]
[bibtex]
@InProceedings{Teng_2026_CVPR, author = {Teng, Yunfei and Chen, Xinyu and Zhang, He and Chen, Zhichao and Hung, Yulei and Hu, Sha and Ye, Qiwei and Lin, Zhouchen}, title = {CryoGEN-II: Cryogenic Electron Tomography Reconstruction via Generative Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7338-7347} }
EviInspect: Evidence-Grounded Annotation and Evaluation for Safety-Critical Industrial Inspection: Nikolaos Marios Militsis,

Achilleas Toumpas,

Ilias Koulalis,

Konstantinos Ioannidis,

Stefanos Vrochidis; [pdf]
[bibtex]
@InProceedings{Militsis_2026_CVPR, author = {Militsis, Nikolaos Marios and Toumpas, Achilleas and Koulalis, Ilias and Ioannidis, Konstantinos and Vrochidis, Stefanos}, title = {EviInspect: Evidence-Grounded Annotation and Evaluation for Safety-Critical Industrial Inspection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7278-7287} }
Rethinking Transfer Learning for Industrial Inspection: DINOv3 vs. ImageNet Pretraining Across RGB and X-ray Tasks: Mehdi Gharbage,

Céline Teulière,

Pierre Bouges,

Thierry Chateau; [pdf]
[bibtex]
@InProceedings{Gharbage_2026_CVPR, author = {Gharbage, Mehdi and Teuli\`ere, C\'eline and Bouges, Pierre and Chateau, Thierry}, title = {Rethinking Transfer Learning for Industrial Inspection: DINOv3 vs. ImageNet Pretraining Across RGB and X-ray Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7260-7268} }
FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment: Khaled R Ahmed,

Toqi Tahamid Sarker,

Taminul Islam,

Tamany M Alanezi,

Amer AbuGhazaleh; [pdf] [arXiv]
[bibtex]
@InProceedings{Ahmed_2026_CVPR, author = {Ahmed, Khaled R and Sarker, Toqi Tahamid and Islam, Taminul and Alanezi, Tamany M and AbuGhazaleh, Amer}, title = {FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7220-7229} }
Anomaly-to-Normal Translation: A Training Paradigm for Feature-Based 3D Point Cloud Anomaly Detection: Lars Fichtel,

Dominik Seub,

Radu Timofte; [pdf] [supp]
[bibtex]
@InProceedings{Fichtel_2026_CVPR, author = {Fichtel, Lars and Seub, Dominik and Timofte, Radu}, title = {Anomaly-to-Normal Translation: A Training Paradigm for Feature-Based 3D Point Cloud Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7240-7249} }
EG-DINO: Guiding Foundation Models with Structural Priors for Domain-Incremental Crack Segmentation: Bilal Rahou,

Kevin Helvig,

Pauline Trouvé-Peloux,

Ludovic Gaverina,

Thierry Sentenac; [pdf]
[bibtex]
@InProceedings{Rahou_2026_CVPR, author = {Rahou, Bilal and Helvig, Kevin and Trouv\'e-Peloux, Pauline and Gaverina, Ludovic and Sentenac, Thierry}, title = {EG-DINO: Guiding Foundation Models with Structural Priors for Domain-Incremental Crack Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7319-7328} }
Image Segmentation and Physics-Guided Regression for Assessing Laser Surface Structuring: Vadim Tynchenko,

Andrei Gantimurov,

Vladimir Nelyub,

Aleksei Borodulin,

Vladimir Bukhtoiarov,

Dmitry Martysyuk,

Ivan Malashin; [pdf]
[bibtex]
@InProceedings{Tynchenko_2026_CVPR, author = {Tynchenko, Vadim and Gantimurov, Andrei and Nelyub, Vladimir and Borodulin, Aleksei and Bukhtoiarov, Vladimir and Martysyuk, Dmitry and Malashin, Ivan}, title = {Image Segmentation and Physics-Guided Regression for Assessing Laser Surface Structuring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2026}, pages = {7348-7357} }