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In this paper, we present a novel deep learning based approach for addressing the problem of interaction recognition from a first person perspective. The proposed approach uses a pair of convolutional neural networks, whose parameters are shared, for extracting frame level features from successive frames of the video. The frame level features are then aggregated using a convolutional long shortterm memory. The hidden state of the convolutional long short-term memory, after all the input videodoi:10.1109/iccvw.2017.276 dblp:conf/iccvw/SudhakaranL17 fatcat:dmkd6noojjfvvekouzehqtuecy