Search Results - "Banerjee, Pragyan"
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Image inpainting in acoustic microscopy
Published in AIP advances (01-04-2023)“…Scanning acoustic microscopy (SAM) is a non-ionizing and label-free imaging modality used to visualize the surface and internal structures of industrial…”
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Journal Article -
2
High-resolution imaging in acoustic microscopy using deep learning
Published in Machine learning: science and technology (01-03-2024)“…Acoustic microscopy is a cutting-edge label-free imaging technology that allows us to see the surface and interior structure of industrial and biological…”
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Journal Article -
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Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy
Published in IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops (2023)“…Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of…”
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Journal Article -
4
Damage Detection and Localization by Learning Deep Features of Elastic Waves in Piezoelectric Ceramic Using Point Contact Method
Published in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (17-06-2024)“…The reliable detection and localization of damages in piezoelectric materials such as Lead Zirconate Titanate (PZT) pose significant challenges in various…”
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Conference Proceeding -
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Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
Published 16-05-2024“…Existing debiasing techniques are typically training-based or require access to the model's internals and output distributions, so they are inaccessible to…”
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Journal Article -
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Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)“…Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of…”
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Conference Proceeding Journal Article -
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All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation
Published 09-11-2023“…Fairness in Language Models (LMs) remains a longstanding challenge, given the inherent biases in training data that can be perpetuated by models and affect the…”
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Journal Article