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SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning.

, , and . 3DV, page 604-613. IEEE, (2019)

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Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (3): 527-540 (2013)Three-dimensional nth derivative of Gaussian separable steerable filters., and . ICIP (3), page 553-456. IEEE, (2005)Learning to Correct Overexposed and Underexposed Photos., , , and . CoRR, (2020)Histogram-based search: A comparative study., , and . CVPR, IEEE Computer Society, (2008)Reference-guided Controllable Inpainting of Neural Radiance Fields., , , , , , and . ICCV, page 17769-17779. IEEE, (2023)SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning., , and . 3DV, page 604-613. IEEE, (2019)Convolutional Photomosaic Generation via Multi-scale Perceptual Losses., , , and . ECCV Workshops (3), volume 11131 of Lecture Notes in Computer Science, page 75-83. Springer, (2018)Efficient action spotting based on a spacetime oriented structure representation., , , and . CVPR, page 1990-1997. IEEE Computer Society, (2010)From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding., , and . ICCV, page 2248-2255. IEEE Computer Society, (2013)RankMI: A Mutual Information Maximizing Ranking Loss., , , and . CVPR, page 14350-14359. Computer Vision Foundation / IEEE, (2020)