Danqi Liao will present her MSE talk "Selective Feature Aggregation for Semi-supervised Temporal Action Localization" on March 22, 2022 at 11:30am in Friend 125 and Zoom.
The members of her committee are as follows: Olga Russakovsky (adviser) and Jia Deng (reader)
All are welcome to attend.
Abstract: Action detection in untrimmed video has been a long standing goal in computer vision. Recently, single-frame annotation has emerged as a promising direction that bridges the gap between the video-level weak-supervision and costly full supervision. In this talk, I will be discussing Selective Feature Aggregation module that selectively aggregates frame features. The module utilizes temporal contextual information, leading to performance boosts in single frame-supervised temporal action localization without complex heuristic-based system designs.