Active Learning Based 3D Semantic Labeling From Images and Videos
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3079991
Abstract: 3D semantic segmentation is one of the most fundamental problems for 3D scene understanding and has attracted much attention in the field of computer vision. In this paper, we propose an active learning based 3D… read more here.
Keywords: based semantic; active learning; mesh model; model ... See more keywords
Efficient Mesh Space Mapping Optimization for Tunable Filters Incorporating Structurally Simplified Coarse Mesh Model Without Tunable Elements
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2024.3487573
Abstract: Mesh space mapping (MSM) is widely recognized as a popular surrogate-based optimization approach for expediting electromagnetic (EM) design, particularly in cases where traditional equivalent-circuit coarse models are not readily available for standard space mapping (SM).… read more here.
Keywords: tunable elements; coarse mesh; mesh model; model ... See more keywords
Visually Impaired People Recognize Virtual Objects Through 3D Reconstructed Shapes
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2025.3625599
Abstract: With the improvement of three-dimensional (3D) reconstruction technology, virtual objects with realistic shapes have opened up the possibility for the blind or visually impaired (BVI) to improve the cognitive ability of objects by perceiving a… read more here.
Keywords: reconstruction; shape; virtual objects; mesh extraction ... See more keywords