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Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11454-x
Abstract: Point cloud generation aims to transfer a latent code to realistic 3D shapes through generative models. However, most of progressive generative methods ignore the spatial relationship among different stages and suffer from the loss of…
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Keywords:
dual stream;
dpr gan;
point;
generation ... See more keywords
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Published in 2024 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2024.890
Abstract: Abstract Supersonic shear layers experience instabilities that generate significant adverse effects; in complex configurations, these instabilities have global impacts as they foster compounding complications with other independent flow features. We consider the flow near the…
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Keywords:
high speed;
dual stream;
resolvent analysis;
flow ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-16148-5
Abstract: Urban environments undergo continuous changes due to natural processes and human activities, which necessitates robust methods for monitoring changes in land cover and infrastructure for sustainable developments. Change detection in remote sensing plays a pivotal…
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Keywords:
detection;
change detection;
stream hybrid;
multi scale ... See more keywords
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Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2408495
Abstract: ABSTRACT The excellent capabilities of Transformers and Graph Neural Networks (GNNs) in modelling long-range dependencies and handling irregular data have led to their widespread application in hyperspectral image (HSI) classification tasks. However, the Graph Transformer…
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Keywords:
classification;
hyperspectral image;
guided transformer;
dual stream ... See more keywords
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Published in 2024 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2024.2377211
Abstract: ABSTRACT The fine-grained ship classification (FGSC) task in remote sensing aims to distinguish subordinate ship categories. Due to the high similarity among different subcategories and the significant variations in pose, scale, rotation, and color within…
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Keywords:
fine grained;
remote sensing;
grained ship;
ship classification ... See more keywords
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Published in 2019 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/ab4e3e
Abstract: Machine learning and deep learning are rapidly finding applications in the medical imaging field. In this paper, we address the long-standing problem of metal artifacts in computed tomography (CT) images by training a dual-stream deep…
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Keywords:
stream deep;
network;
stream;
metal ... See more keywords
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Published in 2021 at "Cerebral cortex"
DOI: 10.1093/cercor/bhab113
Abstract: The human hippocampus is involved in forming new memories: damage impairs memory. The dual stream model suggests that object "what" representations from ventral stream temporal cortex project to the hippocampus via the perirhinal and then…
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Keywords:
stream;
cortex;
stream model;
memory ... See more keywords
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Published in 2023 at "Cerebral cortex"
DOI: 10.1093/cercor/bhad168
Abstract: Predictions are constantly generated from diverse sources to optimize cognitive functions in the ever-changing environment. However, the neural origin and generation process of top-down induced prediction remain elusive. We hypothesized that motor-based and memory-based predictions…
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Keywords:
stream cortical;
prediction;
sensory prediction;
memory ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3640410
Abstract: Accurately modeling complex spatial relationships is a pivotal challenge for Transformer-based object detectors, as existing models often rely on static positional encodings that fail to capture dynamic, real-world scene layouts. To address this issue, this…
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Keywords:
dgpe;
transformer based;
geometric aware;
stream geometric ... See more keywords
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Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3375321
Abstract: With the widespread popularity of deep learning, various neural network models are extensively employed in the recognition, classification, and segmentation of remote sensing images. Convolutional neural networks (CNNs), fully convolutional networks, including their variants like…
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Keywords:
attention;
identification;
network;
dual stream ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3593887
Abstract: Remote sensing image captioning (RSIC) aims to generate semantically rich and syntactically accurate descriptions for remote sensing images (RSIs). However, due to the complex spatial layouts, occlusions, and overlapping objects in such images, caption generation…
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Keywords:
remote sensing;
dual stream;
sensing image;
spatially aware ... See more keywords