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 | 293 | 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 | 118 | 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 | 111 | 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 | 103 | 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 | 67 | 2008 |
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 | 62 | 2012 |
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 | 61 | 2016 |
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 | 58 | 2013 |
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 | 56 | 2008 |
Human activity recognition using temporal convolutional network N Nair, C Thomas, DB Jayagopi Proceedings of the 5th international Workshop on Sensor-based Activity …, 2018 | 52 | 2018 |
A robust lane detection and departure warning system M Haloi, DB Jayagopi 2015 IEEE Intelligent Vehicles Symposium (IV), 126-131, 2015 | 51 | 2015 |
Mining group nonverbal conversational patterns using probabilistic topic models DB Jayagopi, D Gatica-Perez IEEE Transactions on Multimedia 12 (8), 790-802, 2010 | 47 | 2010 |
Towards efficient unconstrained handwriting recognition using Dilated Temporal Convolution Network A Sharma, DB Jayagopi Expert Systems with Applications 164, 114004, 2021 | 41 | 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 | 38 | 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 | 26 | 2020 |
Automatic assessment of communication skill in interview-based interactions S Rasipuram, DB Jayagopi Multimedia Tools and Applications 77, 18709-18739, 2018 | 25 | 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 | 24 | 2016 |
Automated grading of handwritten essays A Sharma, DB Jayagopi 2018 16th International conference on frontiers in handwriting recognition …, 2018 | 23 | 2018 |
The vernissage corpus: A multimodal human-robot-interaction dataset DB Jayagopi, S Sheikhi, D Klotz, J Wienke, JM Odobez, S Wrede, ... | 23 | 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 | 20 | 2022 |