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4 papers · 2 filters
Budget-Aware Activity Detection with A Recurrent Policy Network
Behrooz Mahasseni, Xiaodong Yang, Pavlo Molchanov +1
In this paper, we address the challenging problem of efficient temporal activity detection in untrimmed long videos. While most recent work has focused and advanced the detection a…
Embedding Deep Networks into Visual Explanations
Zhongang Qi, Saeed Khorram, Fuxin Li
In this paper, we propose a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by learning a nonlinear embedding of a high-dime…
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu
This work is about recognizing human activities occurring in videos at distinct semantic levels, including individual actions, interactions, and group activities. The recognition i…
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion
Peng Lei, Fuxin Li, Sinisa Todorovic
Using deep learning, this paper addresses the problem of joint object boundary detection and boundary motion estimation in videos, which we named boundary flow estimation. Boundary…