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 |
Fractals as Pre-training Datasets for Anomaly Detection and Localization CI Ugwu, S Casarin, O Lanz | | 2024 |
Improving Semantic Segmentation Models through Synthetic Data Generation via Diffusion Models J Rabensteiner, CI Ugwu, O Lanz | | 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 | | |