December 02, 2016 preprint Open access PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation arXiv (Cornell University) DOI: 10.48550/arxiv.1612.00593 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 2,875 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 Hierarchical SVM for Semantic Segmentation of 3D Point Clouds for Infrastructure Scenes 2024 Infrastructures article Engineering 3D Shape Modeling and Analysis Open access 19 citations GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy 2024 Medical Image Analysis review Computer Science Generative Adversarial Networks and Image Synthesis Open access 45 citations A Deep-Learning-Computed Cancer Score for the Identification of Human Hepatocellular Carcinoma Area Based on a Six-Colour Multiplex Immunofluorescence Panel 2023 Cells article Computer Science AI in cancer detection Open access 6 citations TwinGen: Advanced technologies to automatically generate digital twins for operation and maintenance of existing bridges 2023 CRC Press eBooks book-chapter Engineering Infrastructure Maintenance and Monitoring Open access 16 citations Efficient and Consumer-Centered Item Detection and Classification with a Multicamera Network at High Ranges 2021 Sensors article Engineering Robot Manipulation and Learning Open access 5 citations 5 results References 0