‪Cynthia Ifeyinwa Ugwu‬ - ‪Google Scholar‬

Cynthia Ifeyinwa Ugwu

Cynthia Ifeyinwa Ugwu

Free University of Bozen-Bolzano

Verified email at unibz.it

computer vision anomaly detection visual inspection depth completion


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A low memory footprint quantized neural network for depth completion of very sparse time-of-flight depth maps X Jiang, V Cambareri, G Agresti, CI Ugwu, A Simonetto, F Cardinaux, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	3	2022
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion S Casarin, CI Ugwu, S Escalera, O Lanz arXiv preprint arXiv:2403.15194, 2024		2024
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion CI Ugwu, S Casarin, O Lanz arXiv preprint arXiv:2307.12853, 2023		2023
Italian Debate on Measles Vaccination: How Twitter Data Highlight Communities and Polarity CI Ugwu, S Casarin Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022		2022
Unsupervised Anomaly Detection on Volumetric data for Industrial Visual Inspection CI Ugwu, S Casarin, M Boschetti, O Lanz		2022
Optimization of RGB-D fusion architectures based on deep learning for very sparse depth data CI UGWU

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