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Small steps and giant leaps: Minimal Newton solvers for Deep Learning., , , and . CoRR, (2018)Invariant Information Clustering for Unsupervised Image Classification and Segmentation., , and . ICCV, page 9864-9873. IEEE, (2019)Capturing the Geometry of Object Categories from Video Supervision., , and . IEEE Trans. Pattern Anal. Mach. Intell., 42 (2): 261-275 (2020)Unsupervised Part Discovery from Contrastive Reconstruction., , , and . NeurIPS, page 28104-28118. (2021)Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction., , and . NeurIPS, (2020)Pylon Model for Semantic Segmentation., , and . NIPS, page 1485-1493. (2011)Future Event Prediction: If and When., , and . CVPR Workshops, page 2935-2943. Computer Vision Foundation / IEEE, (2019)BANMo: Building Animatable 3D Neural Models from Many Casual Videos., , , , , and . CVPR, page 2853-2863. IEEE, (2022)Generalized Category Discovery., , , and . CVPR, page 7482-7491. IEEE, (2022)Discovering Relationships Between Object Categories via Universal Canonical Maps., , , , and . CVPR, page 404-413. Computer Vision Foundation / IEEE, (2021)