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3D Reconstruction of Plant Leaves for High-Throughput Phenotyping.

, , , , , and . IEEE BigData, page 4285-4293. IEEE, (2018)

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SSPNet: Scale Selection Pyramid Network for Tiny Person Detection From UAV Images., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping., , , , and . IEEE BigData, page 1274-1281. IEEE, (2019)Visual analytics with unparalleled variety scaling for big earth data., , , , , and . IEEE BigData, page 514-521. IEEE Computer Society, (2017)SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images., , , , , and . CoRR, (2021)Novel 3D Imaging Systems for High-Throughput Phenotyping of Plants., , , , , , , , , and . Remote. Sens., 13 (11): 2113 (2021)Non-local Temporal Modeling for Practical Skeleton-Based Gait Recognition., , , and . PRCV (5), volume 14429 of Lecture Notes in Computer Science, page 97-109. Springer, (2023)Bootstrapping Cognitive Agents with a Large Language Model., and . AAAI, page 655-663. AAAI Press, (2024)3D Reconstruction of Plant Leaves for High-Throughput Phenotyping., , , , , and . IEEE BigData, page 4285-4293. IEEE, (2018)Towards automatic field plant disease recognition., , , and . Comput. Electron. Agric., (2021)Design of Approximate Radix-256 Booth Encoding for Error-Tolerant Computing., , , , , and . IEEE Trans. Circuits Syst. II Express Briefs, 69 (4): 2286-2290 (2022)