3D Social Saliency from Head-mounted Cameras

By Hyun Soo Park, Eakta Jain, Yaser Sheikh. 2012

104 citations recorded by the source corpus.

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Citations in the corpus

Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021, background): “[176] Hyun Soo Park, Eakta Jain, and Yaser Sheikh.”
Visual Motif Discovery via First-Person Vision (2016, background): “Because many prior studies on first-person vision focused on how their method could be generalized to a variety of environments (e.g., GeorgiaTech Egocentric Activities [4], JPL First-Person Interaction [6], CMU Social Saliency [29]), there are few datasets of first-person videos that have been reco”
Egocentric Future Localization (2016, unknown): “[7, 29, 30].”
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video (2018, background): “[25] considered 3D social gaze from multiple camera wearers.”
Detecting Attended Visual Targets in Video (2020, background): “For example, several approaches have been developed to detect if two people are looking at each other [30, 38, 29], or to detect if more than two people are looking at a common target [40, 13].”
Recognizing Micro-Actions and Reactions from Paired Egocentric Videos (2016, background): “Temporallyaligned egocentric videos can be used for identifying wearers [46] and estimating joint focus of attention [21, 22, 23].”
In the Eye of the Beholder: Gaze and Actions in First Person Video (2020, methodology): “gaze estimation [10], [12], [13], hand analysis [72], [73], [74], [75], [76], pose estimation [14], [15], physiological parameter estimation [77], [78], user identification [79], [80], [81] and video summarization [16], [17], [18].”
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play (2016, background): “, sports scenarios) can also be used to infer basins of attractions or socially salient hot spots [19, 29].”
Future Person Localization in First-Person Videos (2017, methodology): “To the best of our knowledge, most of the first-person video datasets comprise scenes where only a limited number of people are observed, e.g., CMU Social Interaction Dataset [27], JPL Interaction Dataset [34], HUJI EgoSeg Dataset [29].”