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Published in 2024 at "Research in Mathematics Education"
DOI: 10.1080/14794802.2024.2371542
Abstract: ABSTRACT The importance of mathematical connections in teaching mathematics is broadly acknowledged in the literature. Nevertheless, more research is needed to clarify how different types of mathematical connections manifest in classroom interactions and how they…
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Keywords:
level meta;
level learning;
meta level;
object level ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3144474
Abstract: In this letter, an object-level matching method was proposed to perform building matching in cross-dimensional remote-sensing data. Object-level matching of buildings is essential pre-work for 3-D shape reconstruction, to further generate productions, such as a…
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Keywords:
object level;
lidar point;
cross dimensional;
level matching ... See more keywords
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Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2974702
Abstract: This work presents a novel object-level control framework for the dexterous in-hand manipulation of objects with torque-controlled robotic hands. The proposed impedance-based controller realizes the compliant 6-DOF positioning of a grasped object. Enabled by the…
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Keywords:
control;
hand;
hand manipulation;
object level ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3229228
Abstract: Loop closure can effectively correct the accumulated error in robot localization, which plays a critical role in the long-term navigation of the robot. Traditional appearance-based methods rely on local features and are prone to failure…
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Keywords:
closure;
graph matching;
loop closure;
object level ... See more keywords
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Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3442560
Abstract: This letter introduces a novel method for object-level relocalization of robotic systems. It determines the pose of a camera sensor by robustly associating the object detections in the current frame with 3D objects in a…
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Keywords:
goreloc graph;
level relocalization;
level;
object level ... See more keywords
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Published in 2024 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3511401
Abstract: In recent years, there has been a surge of interest in open-vocabulary 3D scene reconstruction facilitated by visual language models (VLMs), which showcase remarkable capabilities in open-set retrieval tasks. Although the semantic ambiguity of existing…
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Keywords:
open vocabulary;
level neural;
level;
fine grained ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3222636
Abstract: Deep learning-based detection methods have achieved great success in ship target detection in synthetic aperture radar (SAR) images. However, due to the interference of imaging mechanism, speckle noise, and sea and land clutter, ship detection…
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Keywords:
object level;
pixel level;
level;
detection ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3421581
Abstract: Heterogeneous object-level change detection (CD) aims to detect the state of the objects and whether they have changed from multitemporal multimodal data. In this article, a new cross-modality interactive change detector (CICD) is proposed for…
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Keywords:
change detection;
heterogeneous object;
object level;
change ... See more keywords
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Published in 2024 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2023.3294547
Abstract: An object-level attention prediction framework for drivers in the urban environment with rich semantic and motion information is proposed in this article. The proposed framework is based on the visual working memory mechanism, which decomposes…
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Keywords:
information;
attention;
object level;
prediction ... See more keywords
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Published in 2017 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2016.2615272
Abstract: Tampering detection methods based on image hashing have been widely studied with continuous advancements. However, most existing models cannot generate object-level tampering localization results, because the forensic hashes attached to the image lack contour information.…
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Keywords:
object level;
image;
tampering detection;
level tampering ... See more keywords
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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2941663
Abstract: The human visual system tends to consider saliency of an object as a whole. Some object-level saliency detection methods have been proposed by leveraging object proposals in bounding boxes, and regarding the entire bounding box…
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Keywords:
region;
level saliency;
object level;
saliency ... See more keywords