Search Results - "Spadaro, Gabriele"
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Domain Adaptation for Learned Image Compression with Supervised Adapters
Published 23-04-2024“…In Learned Image Compression (LIC), a model is trained at encoding and decoding images sampled from a source domain, often outperforming traditional codecs on…”
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Journal Article -
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Domain Adaptation for Learned Image Compression with Supervised Adapters
Published in 2024 Data Compression Conference (DCC) (19-03-2024)“…In Learned Image Compression (LIC), a model is trained at encoding and decoding images sampled from a source domain, often outperforming traditional codecs on…”
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Conference Proceeding -
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GABIC: Graph-based Attention Block for Image Compression
Published 03-10-2024“…While standardized codecs like JPEG and HEVC-intra represent the industry standard in image compression, neural Learned Image Compression (LIC) codecs…”
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Journal Article -
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WiGNet: Windowed Vision Graph Neural Network
Published 01-10-2024“…In recent years, Graph Neural Networks (GNNs) have demonstrated strong adaptability to various real-world challenges, with architectures such as Vision GNN…”
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Journal Article -
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Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets
Published in 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (02-10-2023)“…Deep neural networks have become the de-facto standard across various computer science domains. Nonetheless, effectively training these deep networks remains…”
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Conference Proceeding