Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data
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视觉与机器人
三维重建、NeRF、Gaussian Splatting、点云和空间智能。
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Comments 28 pages, 7 figures, 8 tables. To appear in the proceedings of SODA24
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Journal ref ICML 2023
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Comments 18 pages, 8 figures, 3 tables, code available at: https://github.com/uhh-pd-ml/EPiC-GAN
Journal ref SciPost Phys. 15, 130 (2023)
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Comments 11 pages
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Comments 27th Annual IEEE High Performance Extreme Computing Conference
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Comments This paper can be considered an extension of the approach presented by Walter et al. (https://isprs-annals.copernicus.org/articles/V-4-2020/49/2020/)
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Comments 8 pages, 2 figures
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Comments 11 pages, 6 figures, 1 table
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Comments 12 pages, 11 figures, conference paper
Journal ref In 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC) (pp. 54-67). IEEE 2022
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Comments 19 pages, 7 figures, 3 tables, code available at https://github.com/DelonShen/classifying-collider-events-with-point-clouds; v2: to match published version
Journal ref Phys. Rev. D 108, 012001 (2023)
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Comments submitted to globecom 2023
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Comments 10 pages
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Comments 5 pages, accepted for presentation at ICASSP 2023
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Comments 64 pages, 16 figures
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Comments Accepted by 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)
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Comments 30 pages + references; Accepted in Computer Methods in Applied Mechanics and Engineering
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Comments Published on "Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS 2022)", 5-7 December 2022, Genova, Italy
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Comments Accepted to IEEE Transactions on Circuits and Systems for Video Technology
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