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Top-Down Networks: A coarse-to-fine reimagination of CNNs., , , and . CVPR Workshops, page 3244-3253. Computer Vision Foundation / IEEE, (2020)Using Phase Instead of Optical Flow for Action Recognition., , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 678-691. Springer, (2018)Video Acceleration Magnification., , and . CVPR, page 502-510. IEEE Computer Society, (2017)Hand-Tremor Frequency Estimation in Videos., , , , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 213-228. Springer, (2018)Featureless: Bypassing feature extraction in action categorization., , , and . ICIP, page 196-200. IEEE, (2016)A step towards understanding why classification helps regression., , , and . ICCV, page 19915-19924. IEEE, (2023)The MediaMill at TRECVID 2013: : Searching concepts, Objects, Instances and events in video., , , , , , , , , and 2 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2013)Is there progress in activity progress prediction?, , , and . ICCV (Workshops), page 2950-2958. IEEE, (2023)No Frame Left Behind: Full Video Action Recognition., , , , and . CVPR, page 14892-14901. Computer Vision Foundation / IEEE, (2021)Making a Case for Learning Motion Representations with Phase., and . ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 55-64. (2016)