Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Kalin, Stefanov"'
Autor:
Barua, Hrishav Bakul, Kalin, Stefanov, Che, Lemuel Lai En, Abhinav, Dhall, KokSheik, Wong, Ganesh, Krishnasamy
Low Dynamic Range (LDR) to High Dynamic Range (HDR) image translation is an important computer vision problem. There is a significant amount of research utilizing both conventional non-learning methods and modern data-driven approaches, focusing on u
Externí odkaz:
http://arxiv.org/abs/2410.15068
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed178b17f9805687f60d8042af928a6e
https://doi.org/10.1145/3503161.3551605
https://doi.org/10.1145/3503161.3551605
Publikováno v:
Companion Publication of the 2021 International Conference on Multimodal Interaction.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1934091daeb121e038d2993d26bcb7e7
https://doi.org/10.1145/3461615.3485430
https://doi.org/10.1145/3461615.3485430
Publikováno v:
ACM Multimedia
In this work we address the Next Speaker Prediction sub challenge of the ACM '21 MultiMediate Grand Challenge. This challenge poses the problem of turn taking prediction in physically situated multiparty interaction. Solving this problem is essential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::207951d99edbd0ec1b1d4c6848dc7f3f
https://doi.org/10.1145/3474085.3479213
https://doi.org/10.1145/3474085.3479213
Autor:
Trang Tran, Brian Borsari, Joshua D. Woolley, Kalin Stefanov, Mohammad Soleymani, Stefan Scherer, Leili Tavabi
Publikováno v:
Proc Conf
Analysis of client and therapist behavior in counseling sessions can provide helpful insights for assessing the quality of the session and consequently, the client's behavioral outcome. In this paper, we study the automatic classification of standard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::218af71366932123418a2fafccf16f04
https://europepmc.org/articles/PMC8321779/
https://europepmc.org/articles/PMC8321779/
Publikováno v:
ACM Transactions on Human-Robot Interaction. 8:1-21
This study proposes, develops, and evaluates methods for modeling the eye-gaze direction and head orientation of a person in multiparty open-world dialogues, as a function of low-level communicative signals generated by his/hers interlocutors. These
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a461083b5f5142471b393ff09f9a705
https://doi.org/10.1145/3323231
https://doi.org/10.1145/3323231
Publikováno v:
IEEE Computer Society
ICPR
ICPR
We develop and evaluate models for automatic vision-based voice activity detection (VAD) in multiparty human-human interactions that are aimed at complementing acoustic VAD methods. We provide evidence that this type of vision-based VAD models are su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a59ea2f63c21d83a91e94af6b666502
https://hdl.handle.net/11250/2783882
https://hdl.handle.net/11250/2783882
Publikováno v:
ICMI
Automatic multimodal acquisition and understanding of social signals is an essential building block for natural and effective human-machine collaboration and communication. This paper introduces OpenSense, a platform for real-time multimodal acquisit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::024d1b1aacd8b5cd6f500fe6f28dca9c
https://doi.org/10.1145/3382507.3418832
https://doi.org/10.1145/3382507.3418832
Autor:
Joshua D. Woolley, Brian Borsari, Larry Zhang, Kalin Stefanov, Stefan Scherer, Leili Tavabi, Mohammad Soleymani
Publikováno v:
ICMI
Proc ACM Int Conf Multimodal Interact
Proc ACM Int Conf Multimodal Interact
Motivational Interviewing (MI) is defined as a collaborative conversation style that evokes the client’s own intrinsic reasons for behavioral change. In MI research, the clients’ attitude (willingness or resistance) toward change as expressed thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::343ed1c6313dff9b5ce2a99d36af60c9
https://doi.org/10.1145/3382507.3418853
https://doi.org/10.1145/3382507.3418853
Publikováno v:
ICMI
Self-disclosure to others has a proven benefit for one’s mental health. It is shown that disclosure to computers can be similarly beneficial for emotional and psychological well-being. In this paper, we analyzed verbal and nonverbal behavior associ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87343351454044e71af2729a6fea5f59
https://doi.org/10.1145/3340555.3353737
https://doi.org/10.1145/3340555.3353737