LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos

• URL: http://arxiv.org/abs/2012.09402v1
• Date: Thu, 17 Dec 2020 05:44:07 GMT
• Title: LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos
• Authors: Sai Praneeth Reddy Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan
• Abstract summary: Analyzing the interactions between humans and objects from a video includes identification of relationships between humans and the objects present in the video. We present a hierarchical approach, LIGHTEN, to learn visual features to effectively capture truth at multiple granularities in a video. We achieve state-of-the-art results in human-object interaction detection (88.9% and 92.6%) and anticipation tasks of CAD-120 and competitive results on image based HOI detection in V-COCO.
• Score: 13.25502885135043
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Analyzing the interactions between humans and objects from a video includes identification of the relationships between humans and the objects present in the video. It can be thought of as a specialized version of Visual Relationship Detection, wherein one of the objects must be a human. While traditional methods formulate the problem as inference on a sequence of video segments, we present a hierarchical approach, LIGHTEN, to learn visual features to effectively capture spatio-temporal cues at multiple granularities in a video. Unlike current approaches, LIGHTEN avoids using ground truth data like depth maps or 3D human pose, thus increasing generalization across non-RGBD datasets as well. Furthermore, we achieve the same using only the visual features, instead of the commonly used hand-crafted spatial features. We achieve state-of-the-art results in human-object interaction detection (88.9% and 92.6%) and anticipation tasks of CAD-120 and competitive results on image based HOI detection in V-COCO dataset, setting a new benchmark for visual features based approaches. Code for LIGHTEN is available at https://github.com/praneeth11009/LIGHTEN-Learning-Interactions-with-Graphs-and-Hierarchical-TEmporal -Networks-for-HOI

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