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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2987464
Abstract: Most existing trackers perform well in the occurrence of short-term occlusions and appearance and illumination variations, but struggle with the challenges of long-term tracking which include heavy or long-term occlusions, and out-of-view objects. We propose…
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Keywords:
aware long;
term object;
term;
spatial temporal ... See more keywords
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Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3538706
Abstract: Sequential recommendation systems aim to predict the future behaviors of users based on their historical interactions. Despite the success of neural architectures like Transformer and Graph Neural Networks, these models often struggle with the inherent…
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Keywords:
aware graph;
sequential recommendation;
temporal aware;
contrastive learning ... See more keywords