no code implementations • COLING 2022 • Santiago Castro, Naihao Deng, Pingxuan Huang, Mihai Burzo, Rada Mihalcea
Existing video understanding datasets mostly focus on human interactions, with little attention being paid to the “in the wild” settings, where the videos are recorded outdoors.
no code implementations • 14 Sep 2022 • Santiago Castro, Naihao Deng, Pingxuan Huang, Mihai Burzo, Rada Mihalcea
Existing video understanding datasets mostly focus on human interactions, with little attention being paid to the "in the wild" settings, where the videos are recorded outdoors.
Ranked #1 on Video Question Answering on WildQA
no code implementations • NAACL 2021 • Yiqun Yao, Michalis Papakostas, Mihai Burzo, Mohamed Abouelenien, Rada Mihalcea
The capability to automatically detect human stress can benefit artificial intelligent agents involved in affective computing and human-computer interaction.
no code implementations • LREC 2020 • Mimansa Jaiswal, Cristian-Paul Bara, Yuanhang Luo, Mihai Burzo, Rada Mihalcea, Emily Mower Provost
Endowing automated agents with the ability to provide support, entertainment and interaction with human beings requires sensing of the users{'} affective state.
no code implementations • 27 Mar 2019 • Mimansa Jaiswal, Zakaria Aldeneh, Cristian-Paul Bara, Yuanhang Luo, Mihai Burzo, Rada Mihalcea, Emily Mower Provost
As a result, annotations are colored by the manner in which they were collected.
no code implementations • LREC 2014 • Ver{\'o}nica P{\'e}rez-Rosas, Rada Mihalcea, Alexis Narvaez, Mihai Burzo
This paper presents the construction of a multimodal dataset for deception detection, including physiological, thermal, and visual responses of human subjects under three deceptive scenarios.