December 01, 2019 conference-paper Open access Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders IEEE Symposium Series on Computational Intelligence (SSCI) DOI: 10.1109/ssci44817.2019.9002982 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 12 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 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 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 2 results References 0