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FIND: An Unsupervised Implicit 3D Model of Articulated Human Feet.

, , and . BMVC, page 630. BMVA Press, (2022)

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X-MAN: Explaining Multiple Sources of Anomalies in Video., , and . CVPR Workshops, page 3224-3232. Computer Vision Foundation / IEEE, (2021)ECOGEM: A European Framework-7 Project., , and . IEEE Veh. Technol. Mag., 6 (3): 22-26 (2011)Real-time Factored ConvNets: Extracting the X Factor in Human Parsing., , and . BMVC, BMVA Press, (2017)Real-time screen reading: reducing domain shift for one-shot learning., , and . BMVC, BMVA Press, (2020)FootNet: An Efficient Convolutional Network for Multiview 3D Foot Reconstruction., , and . ACCV (6), volume 12627 of Lecture Notes in Computer Science, page 36-51. Springer, (2020)Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect., and . ICCV Workshops, page 1202-1208. IEEE Computer Society, (2011)Discrete neural representations for explainable anomaly detection., , and . WACV, page 1506-1514. IEEE, (2022)Scaling digital screen reading with one-shot learning and re-identification., , and . WACV, page 2634-2642. IEEE, (2021)Style2NeRF: An Unsupervised One-Shot NeRF for Semantic 3D Reconstruction., , , and . BMVC, page 104. BMVA Press, (2022)Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop., , , , and . ECCV (11), volume 12356 of Lecture Notes in Computer Science, page 195-211. Springer, (2020)