84 citations · 165 across the 12 of their papers we have counts for
Showing 2018 · cs.CVShow all
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cs.CV2018
D3D: Distilled 3D Networks for Video Action Recognition
Jonathan C. Stroud, David A. Ross, Chen Sun +2
State-of-the-art methods for video action recognition commonly use an ensemble of two networks: the spatial stream, which takes RGB frames as input, and the temporal stream, which…
cs.CV2018
Rethinking the Faster R-CNN Architecture for Temporal Action Localization
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold +3
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 short…