Dinesh Babu Jayagopi

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Daniel Gatica-PerezIdiap-EPFLE-mailová adresa ověřena na: idiap.ch
Chinchu ThomasPhD Scholar, IIIT BangaloreE-mailová adresa ověřena na: iiitb.org
Sowmya RasipuramAccenture Technology and Innovation Labs, BangaloreE-mailová adresa ověřena na: iiitb.org
Jean-Marc OdobezHead of the Perception and Activity Understanding group, Idiap Research Institute and EPFLE-mailová adresa ověřena na: idiap.ch
Hayley HungAssociate Professor, Delft University of TechnologyE-mailová adresa ověřena na: tudelft.nl
Marianne Schmid MastFaculty of Business and Economics (HEC), University of LausanneE-mailová adresa ověřena na: unil.ch
Pooja S. B. RaoUniversity of Lausanne, IIIT BangaloreE-mailová adresa ověřena na: unil.ch
Kumar ShubhamPhD at Indian institute of science, BangaloreE-mailová adresa ověřena na: iisc.ac.in
Dairazalia Sanchez-CortesIdiap Research InstituteE-mailová adresa ověřena na: idiap.ch
Chuohao YeoE-mailová adresa ověřena na: alum.mit.edu
Annapurna SharmaResearch Scholar, IIITBE-mailová adresa ověřena na: iiitb.org
sileye baSenior Machine Learning Scientist, Loreal Research & InnovationE-mailová adresa ověřena na: loreal.com
Vasil KhalidovMeta AIE-mailová adresa ověřena na: meta.com
Samira SheikhiZillow Group Inc.E-mailová adresa ověřena na: uchicago.edu
Oya AranGroup head @ Procter & Gamble R&D Data Scence & AIE-mailová adresa ověřena na: pg.com
Sebastian WredeCoR-Lab, Bielefeld UniversityE-mailová adresa ověřena na: techfak.uni-bielefeld.de
Britta WredeMedical Assistance Systems, Bielefeld UniversityE-mailová adresa ověřena na: techfak.uni-bielefeld.de
Mrinal (Ishant) HaloiNanyang Technological University, Head - Deep Learning CoE,AI Labs, SubexE-mailová adresa ověřena na: ntu.edu.sg
Alex `Sandy' PentlandProfessor MITE-mailová adresa ověřena na: mit.edu
Shehroz S. KhanAmerican University of the Middle East, Kuwait, Scientist, KITE, University Health Network, CanadaE-mailová adresa ověřena na: utoronto.ca

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Dinesh Babu Jayagopi

HoD DSAI, Associate Professor(National Teachers Awardee), IIIT Bangalore

E-mailová adresa ověřena na: iiitb.ac.in - Domovská stránka

Multimodal signal processing Applied Machine Learning Social Computing Behavior Analytics


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Modeling dominance in group conversations using nonverbal activity cues DB Jayagopi, H Hung, C Yeo, D Gatica-Perez IEEE Transactions on Audio, Speech, and Language Processing 17 (3), 501-513, 2009	300	2009
Predicting student engagement in classrooms using facial behavioral cues C Thomas, DB Jayagopi Proceedings of the 1st ACM SIGCHI international workshop on multimodal …, 2017	139	2017
Using audio and video features to classify the most dominant person in a group meeting H Hung, D Jayagopi, C Yeo, G Friedland, S Ba, JM Odobez, ... Proceedings of the 15th ACM international conference on Multimedia, 835-838, 2007	113	2007
Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition D Sanchez-Cortes, O Aran, DB Jayagopi, M Schmid Mast, D Gatica-Perez Journal on Multimodal User Interfaces 7, 39-53, 2013	112	2013
Investigating automatic dominance estimation in groups from visual attention and speaking activity H Hung, DB Jayagopi, S Ba, JM Odobez, D Gatica-Perez Proceedings of the 10th international conference on Multimodal interfaces …, 2008	70	2008
Asynchronous video interviews vs. face-to-face interviews for communication skill measurement: a systematic study S Rasipuram, DB Jayagopi Proceedings of the 18th ACM international conference on multimodal …, 2016	67	2016
Human activity recognition using temporal convolutional network N Nair, C Thomas, DB Jayagopi Proceedings of the 5th international Workshop on Sensor-based Activity …, 2018	66	2018
The vernissage corpus: A conversational human-robot-interaction dataset DB Jayagopi, S Sheiki, D Klotz, J Wienke, JM Odobez, S Wrede, ... 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013	64	2013
Linking speaking and looking behavior patterns with group composition, perception, and performance D Jayagopi, D Sanchez-Cortes, K Otsuka, J Yamato, D Gatica-Perez Proceedings of the 14th ACM international conference on Multimodal …, 2012	64	2012
Predicting two facets of social verticality in meetings from five-minute time slices and nonverbal cues DB Jayagopi, S Ba, JM Odobez, D Gatica-Perez Proceedings of the 10th international conference on Multimodal interfaces, 45-52, 2008	58	2008
A robust lane detection and departure warning system M Haloi, DB Jayagopi 2015 IEEE Intelligent Vehicles Symposium (IV), 126-131, 2015	55	2015
Mining group nonverbal conversational patterns using probabilistic topic models DB Jayagopi, D Gatica-Perez IEEE Transactions on Multimedia 12 (8), 790-802, 2010	48	2010
Towards efficient unconstrained handwriting recognition using Dilated Temporal Convolution Network A Sharma, DB Jayagopi Expert Systems with Applications 164, 114004, 2021	46	2021
Predicting engagement intensity in the wild using temporal convolutional network C Thomas, N Nair, DB Jayagopi Proceedings of the 20th ACM International Conference on Multimodal …, 2018	41	2018
Automatic multimodal assessment of soft skills in social interactions: a review S Rasipuram, DB Jayagopi Multimedia Tools and Applications 79 (19), 13037-13060, 2020	31	2020
Automatic assessment of communication skill in interview-based interactions S Rasipuram, DB Jayagopi Multimedia Tools and Applications 77, 18709-18739, 2018	29	2018
Automated grading of handwritten essays A Sharma, DB Jayagopi 2018 16th International conference on frontiers in handwriting recognition …, 2018	27	2018
Statistical feature analysis for EEG baseline classification: Eyes Open vs Eyes Closed N Sinha, D Babu IEEE region 10 conference (TENCON), 2159-3450, 2016	25	2016
The vernissage corpus: A multimodal human-robot-interaction dataset DB Jayagopi, S Sheikhi, D Klotz, J Wienke, JM Odobez, S Wrede, ...	25	2012
Automatic prediction of presentation style and student engagement from videos C Thomas, KAVP Sarma, SS Gajula, DB Jayagopi Computers and Education: Artificial Intelligence 3, 100079, 2022	24	2022

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