Data-driven consumer-phase identification in low-voltage distribution networks considering prosumers
Knowing the correct phase connectivity information plays a significant role in maintaining high-quality power and reliable electricity supply to end-consumers. However, managing the consumer-phase ...
This is the official implementation of our paper GaussianImage, a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting. With compact 2D Gaussian representation and ...
Abstract: Computer vision-based technologies significantly enhance surgical automation by advancing tool tracking, detection, and localization. However, Current data-driven approaches are ...
Abstract: Recent advancements in Mamba in long-sequence modeling have achieved significant progress. In order to achieve non-local receptive fields and cross scale fusion in various domains, we ...
A seamless Pinokio-ready Web UI for Apple's ML-Sharp, allowing you to generate 3D Gaussian Splatting (3DGS) models from a single image with high efficiency.
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