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Tengping Jiang from www.researchgate.net
Automatic and accurate instance segmentation of street trees from point clouds is a fundamental task in urban green space research.
Hierarchical semantic segmentation of urban scene point clouds via group proposal and graph attention network. T Jiang, J Sun, S Liu, X Zhang, Q Wu, Y Wang.
Biography. Tengping Jiang (Member, IEEE) received the Ph.D. degree in photogrammetry and remote sensing from Wuhan University, Wuhan, China, in 2023.
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Apr 25, 2024 · List of computer science publications by Tengping Jiang.
Existing works use a network to learn point-wise weights for weighted least squares surface fitting to estimate the normals, which has difficulty in finding ...
Semantic segmentation in the context of 3D point clouds for the railway environment holds a significant economic value, but its development is severely ...
A CDC8600 computer (4 CPUs, shared memory, SIMD) from scratch, to simulate and evaluate architectural design choices (pipelining, cache design, branch predictor ...
This paper presents a neural network for robust normal estimation on point clouds, named AdaFit, that can deal with point clouds with noise and density ...
Instance recognition of street trees from urban point clouds using a three-stage neural network. Author links open overlay panel. Tengping Jiang a b c d ,