Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maksim Bolonkin"'
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-24
We consider the problem of predicting the impression that one subject has of another in a video clip showing a group of interacting people. Our novel Dyadic Impression Prediction System ( DIPS ) contains two major innovations. First, we develop a nov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bf561ae78d85c18657714138b266063
https://doi.org/10.1145/3532865
https://doi.org/10.1145/3532865
Publikováno v:
INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aa8ff719e03fab4a09ff5b8c76d72a6
https://doi.org/10.1145/3536221.3556617
https://doi.org/10.1145/3536221.3556617
Autor:
V. S. Subrahmanian, Maksim Bolonkin, Dimitris N. Metaxas, Judee K. Burgoon, Norah E. Dunbar, Chongyang Bai, Lezi Wang
Publikováno v:
Terrorism, Security, and Computation ISBN: 9783030543822
BMVC
BMVC
In this study, we address a cross-domain problem of applying computer vision approaches to reason about human facial behavior when people play The Resistance game. To capture the facial behaviors, we first collect several hours of video where the par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::507e4c2ba33e1382566362657644aa36
https://doi.org/10.1007/978-3-030-54383-9_7
https://doi.org/10.1007/978-3-030-54383-9_7
Autor:
Srijan Kumar, Maksim Bolonkin, Chongyang Bai, V. S. Subrahmanian, Norah E. Dunbar, Judee K. Burgoon, Jure Leskovec
Publikováno v:
IJCAI
We consider the problems of predicting (i) the most dominant person in a group of people, and (ii) the more dominant of a pair of people, from videos depicting group interactions. We introduce a novel family of variables called Dominance Rank. We com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1526d9a05b63fa4b6a4f2924742b2a1c
https://doi.org/10.24963/ijcai.2019/645
https://doi.org/10.24963/ijcai.2019/645
Autor:
V. S. Subrahmanian, Judee K. Burgoon, Chongyang Bai, Norah E. Dunbar, Chao Chen, Maksim Bolonkin, Bharat Singh, Zhe Wu
Publikováno v:
ICME
Most work on automated deception detection (ADD) in video has two restrictions: (i) it focuses on a video of one person, and (ii) it focuses on a single act of deception in a one or two minute video. In this paper, we propose a new ADD framework whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd6c6993068df851bd2c47290313d5f