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Published in 2020 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01331-0
Abstract: Hashing has been widely investigated for large-scale image retrieval due to its search effectiveness and computation efficiency. In this work, we propose a novel Semantic Guided Hashing method coupled with binary matrix factorization to perform…
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Keywords:
image;
weakly supervised;
image retrieval;
social image ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3243952
Abstract: Grid-based features have been proven to be as effective as region-based features in multi-modal tasks such as visual question answering. However, its application to image captioning encounters two main issues, namely, noisy features and fragmented…
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Keywords:
line testing;
semantic guided;
image;
image captioning ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3046861
Abstract: Extreme instance imbalance among categories and combinatorial explosion make the recognition of Human-Object Interaction (HOI) a challenging task. Few studies have addressed both challenges directly. Motivated by the success of few-shot learning that learns a…
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Keywords:
recognition;
hoi;
object interaction;
attentive prototypes ... See more keywords
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Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14681
Abstract: Image smoothing is a fundamental low‐level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning has been explored in image smoothing to deal with the complex entanglement…
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Keywords:
network;
contrastive semantic;
image smoothing;
semantic guided ... See more keywords