Adriano Cardace
@AdrianoCardace
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PhD student in Computer Vision and Deep Learning at University of Bologna
Joined July 2020
RT @AllanZhou17: Coming to #ICLR2024: what's the best way to extract information from implicit neural representations (INRs)?. We show that….
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Can we process hybrid neural fields to solve downstream tasks such as 3D object classification/segmentation? In this new work, we show that using hybrid representations such as tri-planes can provide many advantages over neural fields parametrized as MLP:.
arxiv.org
Driven by the appealing properties of neural fields for storing and communicating 3D data, the problem of directly processing them to address tasks such as classification and part segmentation has...
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RT @LuigiDi77998956: Signals are networks so networks are data and so networks can process other networks to understand and generate signal….
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Happy to release the code for our new paper "Self-Distillation for Unsupervised 3D Domain Adaptation" accepted at WACV2023!.Code and paper can be found here:.A big thanks to my colleagues @pierluigi92 and @RSpezialetti.
cvlab-unibo.github.io
Project page for Self-Distillation for Unsupervised 3D Domain Adaptation.
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