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Article
Open AccessTHP: Tensor-field-driven hierarchical path planning for autonomous scene exploration with depth sensors
It is challenging to automatically explore an unknown 3D environment with a robot only equipped with depth sensors due to the limited field of view. We introduce THP, a tensor field-based framework for efficient ...
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Article
Open AccessLearning accurate template matching with differentiable coarse-to-fine correspondence refinement
Template matching is a fundamental task in computer vision and has been studied for decades. It plays an essential role in manufacturing industry for estimating the poses of different parts, facilitating downs...
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Article
Open AccessWould ChatGPT-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? An empirical study
ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the ...
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Article
Open Access6DOF pose estimation of a 3D rigid object based on edge-enhanced point pair features
The point pair feature (PPF) is widely used for 6D pose estimation. In this paper, we propose an efficient 6D pose estimation method based on the PPF framework. We introduce a well-targeted down-sampling strat...
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Article
Open AccessEFECL: Feature encoding enhancement with contrastive learning for indoor 3D object detection
Good proposal initials are critical for 3D object detection applications. However, due to the significant geometry variation of indoor scenes, incomplete and noisy proposals are inevitable in most cases. Minin...
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Article
Open AccessGovernment R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program
This study investigates the impact of government R&D spending on promoting technology convergence. We test the hypotheses that a government funding program positively affects technology convergence, and that t...
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Article
Open AccessA practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples
Beyond detecting brain lesions or tumors, comparatively little success has been attained in identifying brain disorders such as Alzheimer’s disease (AD), based on magnetic resonance imaging (MRI). Many machine...
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Article
Open AccessARM3D: Attention-based relation module for indoor 3D object detection
Relation contexts have been proved to be useful for many challenging vision tasks. In the field of 3D object detection, previous methods have been taking the advantage of context encoding, graph embedding, or ...