Author

Anne-Sophie Collin

Observed name: Collin, Anne-Sophie

Observed institution: UCLouvain

ORCID: 0000-0003-0676-2797

Observed ORCID: 0000-0003-0676-2797

OpenAlex ID: A5011526089

Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise

2021 · Anne-Sophie Collin, Christophe De Vleeschouwer · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 109

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Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection

2023 · Anne-Sophie Collin, Cyril de Bodt, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · 2

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Self-supervised vision-langage alignment of deep learning representations for bone X-rays analysis

2024 · Englebert, Alexandre, Collin, Anne-Sophie, et al. · arXiv (Cornell University) · 1

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Advancing silicon die area estimation for integrated circuit modeling in life-cycle assessments

2026 · Augustin Wattiez, Anne-Sophie Collin, et al. · The International Journal of Life Cycle Assessment

Open-Source Silicon Die Area (OSSDA)

2026 · Wattiez, Augustin, Collin, Anne-Sophie, et al. · Zenodo (CERN European Organization for Nuclear Research)

Anomaly detection in industrial vision with convolutional autoencoders

2024 · Collin, Anne-Sophie · Digital Access to Libraries

Joint Use of Skip Connections and Synthetic Corruption for Anomaly Detection with Autoencoders

2021 · Anne-Sophie Collin, Christophe De Vleeschouwer · Springer series in reliability engineering

Works count: 7

Citation count: 112

H-index: 2

I10-index: 1