Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Amir Tamrakar"'
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
Early development of specific skills can help students succeed in fields like Science, Technology, Engineering and Mathematics. Different education standards consider “Collaboration” as a required and necessary skill that can help students excel
Externí odkaz:
https://doaj.org/article/ca226701d97b4a7da72f383f024eadcd
Autor:
David A. Salter, Aswin Raghavan, Timothy J. Meo, Mohamed R. Amer, Chris Kim, Amir Tamrakar, Alex Tozzo
Publikováno v:
AI Communications. 32:59-76
Autor:
Amir Tamrakar, Sujeong Kim
Publikováno v:
HAI
We propose a method to generate optimal natural language for block placement directives generated by a machine’s planner during human-agent interactions in the blocks world. A non user-friendly machine directive, e.g., move(ObjId, toPos), is transf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1e14d362473b01bdf1b6357dbdb6a7a
Publikováno v:
HAI
We conducted a small scale user study to understand user experiences with two different forms of dialogue interfaces - text-based and voice-based - to interact with a virtual agent in a Blocks World environment while perform tower building tasks. The
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030654139
ECCV Workshops (6)
ECCV Workshops (6)
K-12 classrooms consistently integrate collaboration as part of their learning experiences. However, owing to large classroom sizes, teachers do not have the time to properly assess each student and give them feedback. In this paper we propose using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b4a2f8b761bcac44aabd8b4a4a28a1e
https://doi.org/10.1007/978-3-030-65414-6_8
https://doi.org/10.1007/978-3-030-65414-6_8
Autor:
Ajay Divakaran, Timothy J. Shields, Mohamed R. Amer, Amir Tamrakar, Sek M. Chai, Behjat Siddiquie
Publikováno v:
International Journal of Computer Vision. 126:440-456
We propose a novel hybrid model that exploits the strength of discriminative classifiers along with the representation power of generative models. Our focus is on detecting multimodal events in time varying sequences as well as generating missing dat
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 41(7)
The vast majority of edge detection literature has aimed at improving edge recall and precision, with relatively few addressing the accuracy of edge orientation estimates which are often based on gradient. We show that first-order estimates of orient
Publikováno v:
IJCAI
We present a new collaborative visual storytelling platform, Aesop, for direction and animation. Aesop consists of a language parser, human gesture monitoring, composition graphs, dialogue state manager, and an interactive 3D animation software. Aeso
Publikováno v:
NAACL-HLT (Demonstrations)
We demonstrate an intelligent conversational agent system designed for advancing human-machine collaborative tasks. The agent is able to interpret a user’s communicative intent from both their verbal utterances and non-verbal behaviors, such as ges
Publikováno v:
CVPR Workshops
Recent work in affective computing focused on affect from facial expressions, and not as much on body. This work focuses on body affect. Affect does not occur in isolation. Humans usually couple affect with an action; for example, a person could be r