Abstract: Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-dimensional ...
Abstract: Frequent and sizable voltage fluctuation, a common issue faced by the modern distribution system (DS), could lead to potential equipment failures and power interruption. This brings huge ...
We present DisMo, a paradigm that learns a semantic motion representation space from videos that is disentangled from static content information such as appearance, structure, viewing angle and even ...
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