Abstract: The success of intelligent transportation systems relies heavily on accurate traffic prediction, in which how to model the underlying spatial-temporal information from traffic data has come ...

Abstract: Multimodal image matching (MMIM) poses persistent challenges in remote sensing due to substantial variations in radiometric properties, scale, and rotation across different modalities.

A training run can be initalised by calling main.py. This will use the dataset saved in datasets/training_dataset.pickle to learn a heuristic for the graph colouring problem. The training dataset ...

HANGING ROCK —Dubbed an unusual way to kick off the new year by some, it’s considered a tradition by many all over the country — beginning the year with a cold plunge in the lake at Hanging Rock. This ...

From inexpensive, ubiquitous, and utilitarian materials, virtually endless forms and narratives can be created with a bit of imagination. That’s exactly what the show Cardboard: Infinite Possibilities ...

Multi-modal knowledge graph completion (MMKGC) aims to predict the missing triples in the multi-modal knowledge graphs by incorporating structural, visual, and textual information of entities into the ...