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Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers.

, , , , and . NeurIPS, page 13782-13793. (2021)

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A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding., and . ECCV (14), volume 11218 of Lecture Notes in Computer Science, page 334-351. Springer, (2018)GePSAn: Generative Procedure Step Anticipation in Cooking Videos., , , , , and . ICCV, page 2976-2985. IEEE, (2023)Local-to-Global Signature Descriptor for 3D Object Recognition., and . ACCV Workshops (1), volume 9008 of Lecture Notes in Computer Science, page 570-584. Springer, (2014)P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision., , , , , and . CVPR, page 2928-2938. IEEE, (2022)Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers., , , , and . NeurIPS, page 13782-13793. (2021)What Do We Understand About Convolutional Networks?, and . (2018)cite arxiv:1803.08834.Graph Guided Question Answer Generation for Procedural Question-Answering., , , , , , , , and . EACL (1), page 2501-2525. Association for Computational Linguistics, (2024)Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support., and . CoRR, (2020)Representation Learning via Global Temporal Alignment and Cycle-Consistency., , and . CVPR, page 11068-11077. Computer Vision Foundation / IEEE, (2021)StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos., , , , , and . CVPR, page 18952-18961. IEEE, (2023)