Predicting the Where and What of Actors and Actions through Online Action Localization

88 citations recorded by the source corpus.

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Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection (2017, methodology): “Thus, this information has been employed for action recognition and localization in several works [4, 21, 43, 39].”
ECO: Efficient Convolutional Network for Online Video Understanding (2018, background): “[28] proposed an online action localization approach.”
Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction (2016, methodology): “[41], which is in fact higher than the 43% accuracy achieved by [41] after observing the entire video.”
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos (2017, methodology): “Various methods have been developed, from the perspective of supervoxel merging [20, 54, 55], tracking [69, 42, 62, 52], object detection and linking [28, 14, 75, 42, 62], spatio-temporal segmentation [31, 70], and leveraging still images [21, 58, 22].”
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization (2017, background): “A large number of works have successfully tackled the task of action recognition [8,9,28,38,42] and spatio-temporal localization [10,18,27,30,33,39].”