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Published in 2017 at "Neuropsychologia"
DOI: 10.1016/j.neuropsychologia.2017.06.030
Abstract: ABSTRACT Understanding the nature and extent of neural plasticity in humans remains a key challenge for neuroscience. Importantly, however, a precise characterization of plasticity and its underlying mechanism has the potential to enable new approaches…
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Keywords:
high level;
level vision;
level;
plasticity ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3192200
Abstract: While the deep learning-based image deraining methods have made great progress in recent years, there are two major shortcomings in their application in real-world situations. Firstly, the gap between the low-level vision task represented by…
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Keywords:
vision task;
level vision;
object detection;
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3226406
Abstract: Low-rank tensor representation philosophy has enjoyed a reputation in many hyperspectral image (HSI) low-level vision applications, but previous studies often failed to comprehensively exploit the low-rank nature of HSI along different modes in low-dimensional subspace,…
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Keywords:
subspace;
low level;
level vision;
tensor ... See more keywords
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Published in 2022 at "Journal of Vision"
DOI: 10.1167/jov.22.2.7
Abstract: Abstract An important task for vision science is to build a unitary framework of low- and mid-level vision. As a step on this way, our study examined differences and commonalities between masking, crowding and grouping—three…
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Keywords:
low mid;
crowding grouping;
mid level;
level vision ... See more keywords