Natively Trainable Sparse Attention for Hierarchical Point Cloud Datasets
机构 * University of Groningen(格罗宁根大学) ; University of Amsterdam(阿姆斯特丹大学)
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视觉与机器人
三维重建、NeRF、Gaussian Splatting、点云和空间智能。
机构 * University of Groningen(格罗宁根大学) ; University of Amsterdam(阿姆斯特丹大学)
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Comments 15+3 pages, 7+4 figures
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Journal ref IEEE Transactions on Information Forensics & Security, 2024, vol.19, pp. 7304-7319
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Comments 36 pages, 18 figures
Journal ref Annals of Nuclear Energy 203 (2024): 110527
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Comments Accepted at NeurIPS 2023 Datasets & Benchmarks
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Comments 37 pages, 5 figures
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Comments 20 pages, 5 figures
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Comments 29th International Conference on Geoinformatics, 6 pages
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Comments PhD Thesis
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Comments 23 pages, 9 figures, v2 minor revision
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Comments 6 pages, 9 figures
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Comments 4 pages, Short PEARC Submission
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Comments 11 figures
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Comments This paper was accepted for presentation at CVPR2020
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Comments This research has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions H2020-MSCA-RISE-2015 BIRDS GA No. 690941
Journal ref In: String Processing and Information Retrieval. SPIRE 2019. Lecture Notes in Computer Science, vol 11811. Springer
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Comments Will be submitted to an appropriate OSA-Journal
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