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Dynamic Graph CNN for Learning on Point Clouds.

, , , , , и . ACM Trans. Graph., 38 (5): 146:1-146:12 (2019)

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Justin Solomon

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Solomon Degu

 

Другие публикации лиц с тем же именем

Object DGCNN: 3D Object Detection using Dynamic Graphs., и . NeurIPS, стр. 20745-20758. (2021)Dynamic Graph CNN for Learning on Point Clouds., , , , , и . ACM Trans. Graph., 38 (5): 146:1-146:12 (2019)Representation Learning for Object Detection from Unlabeled Point Cloud Sequences., , , , , и . CoRL, том 205 из Proceedings of Machine Learning Research, стр. 1277-1288. PMLR, (2022)Continuous Regularized Wasserstein Barycenters., , , и . NeurIPS, (2020)Dynamic Graph CNN for Learning on Point Clouds., , , , , и . CoRR, (2018)DeepCurrents: Learning Implicit Representations of Shapes with Boundaries., , , , и . CoRR, (2021)Hierarchical Optimal Transport for Document Representation., , , , и . NeurIPS, стр. 1599-1609. (2019)PRNet: Self-Supervised Learning for Partial-to-Partial Registration., и . NeurIPS, стр. 8812-8824. (2019)Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark., , , , , и . NeurIPS, стр. 14593-14605. (2021)Alleviating Label Switching with Optimal Transport., , , , , и . NeurIPS, стр. 13612-13622. (2019)