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Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation.

, , , , and . ICCV, page 7212-7221. IEEE, (2019)

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Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach., , and . ECCV (2), volume 13662 of Lecture Notes in Computer Science, page 586-603. Springer, (2022)P-nets: Deep Polynomial Neural Networks., , , , , and . CVPR, page 7323-7333. Computer Vision Foundation / IEEE, (2020)Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks., , , and . AVSS, page 1-8. IEEE, (2019)Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation., , , , and . ICCV, page 7212-7221. IEEE, (2019)Π-nets: Deep Polynomial Neural Networks., , , , , and . CoRR, (2020)Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting, , , and . (2020)cite arxiv:2006.09252.$\Pi-$nets: Deep Polynomial Neural Networks, , , , , and . (2020)cite arxiv:2003.03828Comment: Accepted in CVPR 2020.3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties., , , , , , , , , and . ICPR, page 1757-1764. IEEE, (2020)Learning to Generate Customized Dynamic 3D Facial Expressions., , , , , and . ECCV (29), volume 12374 of Lecture Notes in Computer Science, page 278-294. Springer, (2020)Multimodal Visual Concept Learning With Weakly Supervised Techniques., , , and . CVPR, page 4914-4923. Computer Vision Foundation / IEEE Computer Society, (2018)