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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3174087
Abstract: Object detection on satellite and aerial images has gained the attraction of the scientific community of computer vision due to its immense value, high difficulty, and the development of large-scale datasets enough to train deep…
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Keywords:
alignment network;
object detection;
shot alignment;
small cluttered ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3229646
Abstract: Action recognition has attracted growing interest recently. It suffers from the problem that complex and diverse environments may disturb the extraction of action features. Existing methods propose to explore the temporal associations to alleviate the…
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Keywords:
network;
action recognition;
actor aware;
action ... See more keywords
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Published in 2022 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2022.3164050
Abstract: In clinical practice, multi-modal magnetic resonance imaging (MRI) with different contrasts is usually acquired in a single study to assess different properties of the same region of interest in the human body. The whole acquisition…
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Keywords:
reconstruction;
multi modal;
spatial alignment;
alignment network ... See more keywords
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Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2018.2875360
Abstract: Tracking-by-detection is one of the typical paradigms for multi-person tracking, due to the availability of automatic pedestrian detectors. However, existing multi-person trackers are greatly challenged by misalignment in the pedestrian detectors (i.e., excessive background and…
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Keywords:
occlusion;
multi person;
network;
alignment network ... See more keywords