June 01, 2018 conference-paper FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings DOI: 10.1109/cvpr.2018.00029 OpenAlex Authors 0 Author list not loaded yet. Cited by 6 stored of 1,384 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Neural networks vs. splines: advances in numerical extruder design 2023 Engineering With Computers article Engineering Topology Optimization in Engineering Open access 3 citations Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos 2023 Lecture notes in computer science conference-paper Biochemistry, Genetics and Molecular Biology Zebrafish Biomedical Research Applications Open access 1 citations Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization 2021 International Conference on 3D Vision (3DV) conference-paper Engineering 3D Shape Modeling and Analysis Open access 8 citations Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation 2021 IEEE Transactions on Evolutionary Computation article Computer Science Evolutionary Algorithms and Applications Open access cited by 1 patent 31 citations Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds 2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Engineering 3D Shape Modeling and Analysis 4 citations Feature Visualization for 3D Point Cloud Autoencoders 2020 conference-paper Engineering 3D Shape Modeling and Analysis 21 citations 6 results References 0