Understanding human behavior and activity facilitates advancement of numerous real-world
applications, and is critical for video analysis. Despite the progress of action recognition …

Temporal action detection (TAD) aims to determine the semantic label and the temporal
interval of every action instance in an untrimmed video. It is a fundamental and challenging …

Temporal action detection is a fundamental yet challenging task in video understanding.
Video context is a critical cue to effectively detect actions, but current works mainly focus on …

Temporal action proposal generation is an important and challenging task in video
understanding, which aims at detecting all temporal segments containing action instances of …

How do humans recognize the action" opening a book"? We argue that there are two
important cues: modeling temporal shape dynamics and modeling functional relationships …

Temporal action proposal generation is an important yet challenging problem, since
temporal proposals with rich action content are indispensable for analysing real-world …

We propose TAL-Net, an improved approach to temporal action localization in video that is
inspired by the Faster R-CNN object detection framework. TAL-Net addresses three key …

Temporally localizing actions in a video is a fundamental challenge in video understanding.
Most existing approaches have often drawn inspiration from image object detection and …

Temporal action localization (TAL) in videos is a challenging task, especially due to the
large variation in action temporal scales. Short actions usually occupy a major proportion in …

Abstract Weakly-supervised Temporal Action Localization (W-TAL) aims to classify and
localize all action instances in an untrimmed video under only video-level supervision …