Abstract: In this article, an inexpensive beam homogenizer is designed to transform the laser beam with irregular intensity into a uniform square beam with a large size, thus eliminating the ...
Abstract: Plant point cloud completion is essential for tasks like segmentation and surface reconstruction in plant phenotyping. Unlike the relatively simpler Computer-Aided Design models found in ...
Abstract: Digital control systems introduce unavoidable computational latencies. For some controllers this time delay inhibits practical use, even though they in theory could provide more efficient ...
When a rare gesture reveals a major shift: Jannik Sinner cracked without exploding, then spoke without blaming. A behavior that fascinates Andrea Petkovic and could signal a change in direction. After ...
Abstract: Point cloud registration is a fundamental and crucial task in 3D computer vision, playing a pivotal role in various applications such as robotics, autonomous driving, augmented reality, and ...
Abstract: Data Augmentation (DA) techniques present solutions for Natural Language Processing (NLP) to address class imbalance and data scarcity. The current solutions for class imbalance, either ...
Abstract: Plant diseases are a highly crucial problem faced by the world today, so accurate and efficient early detection of plant diseases is needed. In this study, we evaluate the effectiveness of ...
Abstract: Implicit Neural Representations (INRs), capable of learning the mapping between sampling coordinates and occupancy statuses to effectively represent 3D content, are increasingly adopted in ...
Abstract: Anemia is a widespread worldwide health problem that has a substantial effect on groups who are particularly susceptible. The objective of this work is to improve the diagnosis of anemia by ...
Abstract: This paper proposes a method for learning 3D semantic segmentation robust to incomplete point clouds. Our method first generates pseud-incomplete point clouds from original 3D point clouds ...
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