Detecting People Looking at Each Other in Videos
By Manuel Jesús Marín-Jiménez, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari. 2013
154 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Kristen Grauman
- Trevor Darrell
- Devi Parikh
- Mohit Bansal
- Abhinav Kumar Gupta
- Andrew Zisserman
- Li Fei-Fei
- Cordelia Schmid
In Computer Vision and Pattern Recognition
- Kristen Grauman
- Luc Van Gool
- Jitendra Malik
- Andrew Zisserman
- Trevor Darrell
- Dacheng Tao
- Cordelia Schmid
- Xiaogang Wang
Citations in the corpus
- Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021, background): “[151] Manuel Jesús Marı́n-Jiménez, Andrew Zisserman, Marcin Eichner, and Vittorio Ferrari.”
- Dual Attention Guided Gaze Target Detection in the Wild (2021, methodology): “For these reasons, gaze analysis has widely been used in neurophysiology studies [36, 10], relevant saliency prediction [8, 34], and social awareness tracking [7, 29, 30].”
- LAEO-Net: Revisiting People Looking at Each Other in Videos (2019, methodology): “Overview of LAEO datasets statistics UCO-LAEO (new) AVA-LAEO (new) TVHID-LAEO [16]train+val test train val test #frames > 18k > 1, 4M (estim.)”
- A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living (2012, background): “In [62], gaze estimation is seen as an additional cue for video annotation and understanding.”
- Social interactions: A first-person perspective (2012, background): “There are previous work that estimate where people are looking in the scene [3, 14].”
- Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze (2020, background): “(Marı́n-Jiménez, Zisserman, and Ferrari 2011; Marı́n-Jiménez et al. 2014) proposed to detect mutual gaze by modeling the head poses and spatial relationship in the scene.”
- Zero-Shot Learning via Visual Abstraction (2014, background): “Several papers have studied the relations of people in groups using videos [4, 17], such as “queuing in line” or whether people are looking at each other [19].”