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ORCIDDinesh Babu Jayagopi
Dinesh Babu J.
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2020 – today
- 2024
[j21]Annapurna Sharma
, Dinesh Babu Jayagopi:
Modeling essay grading with pre-trained BERT features. Appl. Intell. 54(6): 4979-4993 (2024)- [j20]Pooja Rao S. B., Laetitia A. Renier, Marc-Olivier Boldi, Marianne Schmid Mast, Dinesh Babu Jayagopi, Mauro Cherubini:
On the potential of supporting autonomy in online video interview training platforms. Int. J. Hum. Comput. Stud. 191: 103326 (2024) - [j19]Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee, Manuel Lage Cañellas, Constantino Álvarez Casado, Xiaoting Wu, Olli Silvén, Dinesh Babu Jayagopi, Miguel Bordallo López:
Non-contact multimodal indoor human monitoring systems: A survey. Inf. Fusion 110: 102457 (2024) - [j18]Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan:
Bag of states: a non-sequential approach to video-based engagement measurement. Multim. Syst. 30(1): 47 (2024) - [j17]Chinchu Thomas, Prateksha Udhayanan, Ayush Yadav, Seethamraju Purvaj, Dinesh Babu Jayagopi:
Multimodal Unsupervised Domain Adaptation for Predicting Speaker Characteristics from Video. SN Comput. Sci. 5(5): 531 (2024) - [c61]Neha Tarigopula, Preyas Garg, Skanda Muralidhar, Sandrine Tornay, Dinesh Babu Jayagopi, Mathew Magimai-Doss:
Content-Based Objective Evaluation of Artificially Generated Sign Language Videos. ICASSP 2024: 3815-3819 - [i12]Le Ngu Nguyen, Constantino Álvarez Casado, Manuel Lage Cañellas, Anirban Mukherjee, Nhi Nguyen, Dinesh Babu Jayagopi, Miguel Bordallo López:
Multi-objective Feature Selection in Remote Health Monitoring Applications. CoRR abs/2401.05538 (2024) - [i11]Anirban Mukherjee, Monjoy Narayan Choudhury, Dinesh Babu Jayagopi:
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos. CoRR abs/2403.10058 (2024) - [i10]Anirban Mukherjee, Venkat Suprabath Bitra, Vignesh Bondugula, Tarun Reddy Tallapureddy, Dinesh Babu Jayagopi:
SemUV: Deep Learning based semantic manipulation over UV texture map of virtual human heads. CoRR abs/2407.00229 (2024) - [i9]Manuel Lage Cañellas, Le Nguyen, Anirban Mukherjee, Constantino Álvarez Casado, Xiaoting Wu, Praneeth Susarla, Sasan Sharifipour, Dinesh Babu Jayagopi, Miguel Bordallo López:
OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis. CoRR abs/2407.06137 (2024) - 2023
- [j16]Emmanuelle Patricia Kleinlogel, Laetitia A. Renier, Marianne Schmid Mast, Dinesh Babu Jayagopi, Kumar Shubham:
From low invasiveness to high control: how artificial intelligence allows to generate a large pool of standardized corpora at a lesser cost. Frontiers Comput. Sci. 5 (2023) - [j15]Annapurna Sharma, Rohit Katlaa, Gurleen Kaur, Dinesh Babu Jayagopi:
Full-page handwriting recognition and automated essay scoring for in-the-wild essays. Multim. Tools Appl. 82(23): 35253-35276 (2023) - [c60]Ali Abedi, Paritosh Bisht, Riddhi Chatterjee, Rachit Agrawal, Vyom Sharma, Dinesh Babu Jayagopi, Shehroz S. Khan:
Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints. CRV 2023: 288-295 - [c59]Jinal Hitesh Thakkar, Chinchu Thomas, Dinesh Babu Jayagopi:
Automatic assessment of communication skill in real-world job interviews: A comparative study using deep learning and domain adaptation. ICVGIP 2023: 5:1-5:11 - [i8]Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan:
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement. CoRR abs/2301.06730 (2023) - [i7]Ali Abedi, Paritosh Bisht, Riddhi Chatterjee, Rachit Agrawal, Vyom Sharma, Dinesh Babu Jayagopi, Shehroz S. Khan:
Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints. CoRR abs/2304.09735 (2023) - [i6]Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee, Manuel Lage Cañellas, Constantino Álvarez Casado, Xiaoting Wu, Olli Silvén, Dinesh Babu Jayagopi, Miguel Bordallo López:
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey. CoRR abs/2312.07601 (2023) - 2022
- [j14]Chinchu Thomas, K. A. V. Puneeth Sarma, Srujan Swaroop Gajula, Dinesh Babu Jayagopi:
Automatic prediction of presentation style and student engagement from videos. Comput. Educ. Artif. Intell. 3: 100079 (2022) - [j13]Chinchu Thomas, Dinesh Babu Jayagopi:
Predicting Presentation Skill of a Speaker Using Automatic Speaker and Audience Measurement. IEEE Trans. Learn. Technol. 15(3): 350-363 (2022) - [c58]Kumar Shubham, Laxmi Narayen Nagarajan Venkatesan, Dinesh Babu Jayagopi, Raj Tumuluri:
Multimodal Embodied Conversational Agents: A discussion of architectures, frameworks and modules for commercial applications. AIVR 2022: 36-45 - [c57]Gopika Gopan K., Neelam Sinha, Dinesh Babu J.:
Inter-channel Covariance Matrices Based Analyses of EEG Baselines. EUSIPCO 2022: 1303-1307 - [c56]Jinal Hitesh Thakkar, Pooja Rao S. B., Kumar Shubham, Vaibhav Jain, Dinesh Babu Jayagopi:
Understanding Interviewees' Perceptions and Behaviour towards Verbally and Non-verbally Expressive Virtual Interviewing Agents. ICMI Companion 2022: 61-69 - [c55]Kumar Shubham, Anirban Mukherjee, Dinesh Babu Jayagopi:
Review of realistic behavior and appearance generation in embodied conversational agents: A comparison between traditional and modern approaches. ICMI 2022: 191-197 - [c54]Ravi Kiran Reddy Kotlo Budde, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan:
One shot learning in StyleALAE: Preserving facial identity during semantic modification. ICVGIP 2022: 16:1-16:7 - [c53]Swasti Shreya Mishra, Kumar Shubham, Dinesh Babu Jayagopi:
A Hybrid Rigid and Non-Rigid Motion Approximation for Generating Realistic Listening Behavior Videos. ICVGIP 2022: 32:1-32:6 - [c52]Chinchu Thomas, Seethamraju Purvaj, Dinesh Babu Jayagopi:
Student Engagement from Video using Unsupervised Domain Adaptation. IMPROVE 2022: 118-125 - [e2]Raj Tumuluri, Nicu Sebe, Gopal Pingali, Dinesh Babu Jayagopi, Abhinav Dhall, Richa Singh, Lisa Anthony, Albert Ali Salah:
International Conference on Multimodal Interaction, ICMI 2022, Bengaluru, India, November 7-11, 2022. ACM 2022, ISBN 978-1-4503-9390-4 [contents] - [e1]Raj Tumuluri, Nicu Sebe, Gopal Pingali, Dinesh Babu Jayagopi, Abhinav Dhall, Richa Singh, Lisa Anthony, Albert Ali Salah:
International Conference on Multimodal Interaction, ICMI 2022, Companion Volume, Bengaluru, India, November 7-11, 2022. ACM 2022, ISBN 978-1-4503-9389-8 [contents] - 2021
- [j12]Annapurna Sharma, Dinesh Babu Jayagopi:
Towards efficient unconstrained handwriting recognition using Dilated Temporal Convolution Network. Expert Syst. Appl. 164: 114004 (2021) - [j11]Pooja Rao S. B., Manish Agnihotri, Dinesh Babu Jayagopi:
Improving Asynchronous Interview Interaction with Follow-up Question Generation. Int. J. Interact. Multim. Artif. Intell. 6(5): 79-89 (2021) - [j10]K. E. Manjunath, Srinivasa Raghavan K. M., K. Sreenivasa Rao, Dinesh Babu Jayagopi, V. Ramasubramanian:
Approaches for Multilingual Phone Recognition in Code-switched and Non-code-switched Scenarios Using Indian Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(4): 55:1-55:19 (2021) - [c51]Shyam Krishna, Vijay Vignesh P, Dinesh Babu J.:
SignPose: Sign Language Animation Through 3D Pose Lifting. ICCVW 2021: 2640-2649 - [c50]Rahil Satyanarayan Vijay, Kumar Shubham, Laetitia Aurelie Renier, Emmanuelle Patricia Kleinlogel, Marianne Schmid Mast, Dinesh Babu Jayagopi:
An Opportunity to Investigate the Role of Specific Nonverbal Cues and First Impression in Interviews using Deepfake Based Controlled Video Generation. ICMI Companion 2021: 148-152 - [c49]Dinesh Babu Jayagopi:
Multimodal Analysis and Synthesis for Conversational Research. ICMI Companion 2021: 400-401 - [c48]Shyam Krishna, Janmesh Ukey, Dinesh Babu J.:
GAN based indian sign language synthesis. ICVGIP 2021: 42:1-42:8 - [c47]Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. IJCNN 2021: 1-8 - [c46]Roopak Rastogi, Kumar Shubham, Dinesh Babu Jayagopi:
A Multi Task Approach to Improve Face and Body Generation in Pose Transfer. IVSP 2021: 87-94 - [i5]Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan:
One-shot domain adaptation for semantic face editing of real world images using StyleALAE. CoRR abs/2108.13876 (2021) - 2020
- [j9]Sowmya Rasipuram, Dinesh Babu Jayagopi:
Automatic multimodal assessment of soft skills in social interactions: a review. Multim. Tools Appl. 79(19-20): 13037-13060 (2020) - [c45]Sowmya Rasipuram, Bukka Nikhil Sai, Dinesh Babu Jayagopi, Anutosh Maitra:
Using Deep 3D Features and an LSTM Based Sequence Model for Automatic Pain Detection in the Wild. FG 2020: 781-785 - [c44]Shivam Kumar Singh, Sujit Kumar Chakrabarti, Dinesh Babu Jayagopi:
Automated Testing of Refreshable Braille Display. HCC 2020: 181-192 - [c43]Kumar Shubham, Emmanuelle Patricia Kleinlogel, Anaïs Butera, Marianne Schmid Mast, Dinesh Babu Jayagopi:
Conventional and Non-conventional Job Interviewing Methods: A Comparative Study in Two Countries. ICMI 2020: 620-624 - [c42]Manish Agnihotri, Pooja Rao S. B., Dinesh Babu Jayagopi, Sushranth Hebbar, Sowmya Rasipuram, Anutosh Maitra, Shubhashis Sengupta:
Towards Generating Topic-Driven and Affective Responses to Assist Mental Wellness. ICPR Workshops (2) 2020: 129-143 - [c41]Shyam Krishna, Ankit Rajiv Jindal, Mahesh R, Rahul K., Dinesh Babu Jayagopi:
Virtual Indian Sign Language Interpreter. ICVISP 2020: 16:1-16:5 - [i4]Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. CoRR abs/2011.00954 (2020)
2010 – 2019
- 2019
- [j8]K. E. Manjunath, Dinesh Babu Jayagopi, K. Sreenivasa Rao, V. Ramasubramanian:
Development and analysis of multilingual phone recognition systems using Indian languages. Int. J. Speech Technol. 22(1): 157-168 (2019) - [c40]Gopika Gopan K., Neelam Sinha, Dinesh Babu Jayagopi:
Alcoholic EEG Analysis Using Riemann Geometry Based Framework. EUSIPCO 2019: 1-5 - [c39]Sowmya Rasipuram, Dinesh Babu Jayagopi:
A comprehensive evaluation of audio-visual behavior in various modes of interviews in the wild. PETRA 2019: 94-100 - [c38]Chinchu Thomas, Dinesh Babu Jayagopi, Daniel Gatica-Perez:
BookTubing Across Regions: Examining Differences Based on Nonverbal and Verbal Cues. TVX 2019: 145-156 - 2018
- [j7]Sowmya Rasipuram, Dinesh Babu Jayagopi:
Automatic assessment of communication skill in interview-based interactions. Multim. Tools Appl. 77(14): 18709-18739 (2018) - [c37]Anshul Gupta, Dinesh Babu Jayagopi:
Unsupervised Speaker Cue Usage Detection in Public Speaking Videos. BMVC 2018: 333 - [c36]Annapurna Sharma, Dinesh Babu Jayagopi:
Automated Grading of Handwritten Essays. ICFHR 2018: 279-284 - [c35]Chinchu Thomas, Nitin Nair, Dinesh Babu Jayagopi:
Predicting Engagement Intensity in the Wild Using Temporal Convolutional Network. ICMI 2018: 604-610 - [c34]Annapurna Sharma, Dinesh Babu Jayagopi:
Handwritten Essay Grading on Mobiles using MDLSTM Model and Word Embeddings. ICVGIP 2018: 2:1-2:8 - [c33]Harsh Jain, Chandan Vurdigere Nataraj, Dinesh Babu Jayagopi:
Rash Driving Detection Using a Frontal View Camera in Cars. ICVGIP 2018: 44:1-44:7 - [c32]K. E. Manjunath, K. Sreenivasa Rao, Dinesh Babu Jayagopi, V. Ramasubramanian:
Indian Languages ASR: A Multilingual Phone Recognition Framework with IPA Based Common Phone-set, Predicted Articulatory Features and Feature fusion. INTERSPEECH 2018: 1016-1020 - [c31]Nitin Nair, Chinchu Thomas, Dinesh Babu Jayagopi:
Human Activity Recognition Using Temporal Convolutional Network. iWOAR 2018: 17:1-17:8 - [c30]Ajay Surendranath, Dinesh Babu Jayagopi:
Curriculum Learning for Depth Estimation with Deep Convolutional Neural Networks. MedPRAI 2018: 95-100 - [c29]Praneeth Susarla, Utkarsh Agrawal, Dinesh Babu Jayagopi:
Human Weapon-Activity Recognition in Surveillance Videos Using Structural-RNN. MedPRAI 2018: 101-107 - [c28]Daniel Gatica-Perez, Dairazalia Sanchez-Cortes, Trinh Minh Tri Do, Dinesh Babu Jayagopi, Kazuhiro Otsuka:
Vlogging Over Time: Longitudinal Impressions and Behavior in YouTube. MUM 2018: 37-46 - 2017
- [c27]Sowmya Rasipuram, Rahul Das, Pooja Rao S. B., Dinesh Babu Jayagopi:
Online peer-to-peer discussions: A platform for automatic assessment of communication skill. ACII Workshops 2017: 68-73 - [c26]Chinchu Thomas, Dinesh Babu Jayagopi:
Predicting student engagement in classrooms using facial behavioral cues. MIE@ICMI 2017: 33-40 - [c25]Shruthi Kukal Nambiar, Rahul Das, Sowmya Rasipuram, Dinesh Babu Jayagopi:
Automatic generation of actionable feedback towards improving social competency in job interviews. MIE@ICMI 2017: 53-59 - [c24]Pooja Rao S. B., Sowmya Rasipuram, Rahul Das, Dinesh Babu Jayagopi:
Automatic assessment of communication skill in non-conventional interview settings: a comparative study. ICMI 2017: 221-229 - [c23]Pavan Sudheendra, Dinesh Babu Jayagopi:
Genre linked automated assessment and feedback of photographs based on visual aesthetics. IPTA 2017: 1-6 - [p1]Daniel Gatica-Perez, Oya Aran, Dinesh Babu Jayagopi:
Analysis of Small Groups. Social Signal Processing 2017: 349-367 - 2016
- [c22]Pooja Venkatesh, Dinesh Babu J.:
Automatic expression recognition and expertise prediction in Bharatnatyam. ICACCI 2016: 1864-1869 - [c21]Sowmya Rasipuram, Dinesh Babu Jayagopi:
Automatic assessment of communication skill in interface-based employment interviews using audio-visual cues. ICME Workshops 2016: 1-6 - [c20]Sowmya Rasipuram, Pooja Rao S. B., Dinesh Babu Jayagopi:
Asynchronous video interviews vs. face-to-face interviews for communication skill measurement: a systematic study. ICMI 2016: 370-377 - [c19]Gopika Gopan K., Neelam Sinha, Dinesh Babu J.:
Distribution Based EEG Baseline Classification. ICVGIP Workshops 2016: 314-321 - [c18]Pooja Venkatesh, Dinesh Babu Jayagopi:
Automatic Bharatnatyam Dance Posture Recognition and Expertise Prediction Using Depth Cameras. IntelliSys (2) 2016: 1-14 - 2015
- [c17]K. Gopika Gopan, Neelam Sinha, Dinesh Babu J.:
EEG signal classification in non-linear framework with filtered training data. EUSIPCO 2015: 624-628 - [c16]Gopika Gopan K., Neelam Sinha, Dinesh Babu J.:
Statistical features based epileptic seizure EEG detection - an efficacy evaluation. ICACCI 2015: 1394-1398 - [c15]Mrinal Haloi, Dinesh Babu Jayagopi:
A robust lane detection and departure warning system. Intelligent Vehicles Symposium 2015: 126-131 - [i3]Mrinal Haloi, Dinesh Babu Jayagopi:
Characterizing driving behavior using automatic visual analysis. CoRR abs/1503.04036 (2015) - [i2]Mrinal Haloi, Dinesh Babu Jayagopi:
Vehicle Local Position Estimation System. CoRR abs/1503.06648 (2015) - [i1]Mrinal Haloi, Dinesh Babu Jayagopi:
A Robust Lane Detection and Departure Warning System. CoRR abs/1504.07590 (2015) - 2014
- [c14]Bharath M. Palavalli, Harsha Krishna, Dinesh Babu Jayagopi:
Analyzing gaming-simulations using video based techniques. TEEM 2014: 235-239 - 2013
- [j6]Dairazalia Sanchez-Cortes, Oya Aran, Dinesh Babu Jayagopi, Marianne Schmid Mast, Daniel Gatica-Perez:
Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition. J. Multimodal User Interfaces 7(1-2): 39-53 (2013) - [c13]Dinesh Babu Jayagopi, Jean-Marc Odobez:
Given that, should i respond?: contextual addressee estimation in multi-party human-robot interactions. HRI 2013: 147-148 - [c12]Dinesh Babu Jayagopi, Samira Sheikhi, David Klotz, Johannes Wienke, Jean-Marc Odobez, Sebastian Wrede, Vasil Khalidov, Laurent Nyugen, Britta Wrede, Daniel Gatica-Perez:
The vernissage corpus: a conversational human-robot-interaction dataset. HRI 2013: 149-150 - [c11]Samira Sheikhi, Dinesh Babu Jayagopi, Vasil Khalidov, Jean-Marc Odobez:
Context aware addressee estimation for human robot interaction. GazeIn@ICMI 2013: 1-6 - 2012
- [j5]Dinesh Babu Jayagopi, Taemie Kim, Alex Pentland, Daniel Gatica-Perez:
Privacy-sensitive recognition of group conversational context with sociometers. Multim. Syst. 18(1): 3-14 (2012) - [c10]Kyriaki Kalimeri, Bruno Lepri, Oya Aran, Dinesh Babu Jayagopi, Daniel Gatica-Perez, Fabio Pianesi:
Modeling dominance effects on nonverbal behaviors using granger causality. ICMI 2012: 23-26 - [c9]Dinesh Babu Jayagopi, Dairazalia Sanchez-Cortes, Kazuhiro Otsuka, Junji Yamato, Daniel Gatica-Perez:
Linking speaking and looking behavior patterns with group composition, perception, and performance. ICMI 2012: 433-440 - 2011
- [j4]Dinesh Babu Jayagopi:
Computational modeling of face-to-face social interaction using nonverbal behavioral cues. J. Ambient Intell. Smart Environ. 3(3): 271-272 (2011) - 2010
- [j3]Dinesh Babu Jayagopi, Daniel Gatica-Perez:
Mining Group Nonverbal Conversational Patterns Using Probabilistic Topic Models. IEEE Trans. Multim. 12(8): 790-802 (2010) - [c8]Dinesh Babu Jayagopi, Taemie Kim, Alex Pentland, Daniel Gatica-Perez:
Recognizing conversational context in group interaction using privacy-sensitive mobile sensors. MUM 2010: 8
2000 – 2009
- 2009
- [j2]Dinesh Babu Jayagopi, Hayley Hung, Chuohao Yeo, Daniel Gatica-Perez:
Modeling Dominance in Group Conversations Using Nonverbal Activity Cues. IEEE Trans. Speech Audio Process. 17(3): 501-513 (2009) - [c7]Dinesh Babu Jayagopi, Bogdan Raducanu, Daniel Gatica-Perez:
Characterizing conversational group dynamics using nonverbal behaviour. ICME 2009: 370-373 - [c6]Dinesh Babu Jayagopi, Daniel Gatica-Perez:
Discovering group nonverbal conversational patterns with topics. ICMI 2009: 3-6 - [c5]Dairazalia Sanchez-Cortes, Dinesh Babu Jayagopi, Daniel Gatica-Perez:
Predicting remote versus collocated group interactions using nonverbal cues. MLMI 2009: 3:1-3:4 - 2008
- [c4]Dinesh Babu Jayagopi, Sileye O. Ba, Jean-Marc Odobez, Daniel Gatica-Perez:
Predicting two facets of social verticality in meetings from five-minute time slices and nonverbal cues. ICMI 2008: 45-52 - [c3]Hayley Hung, Dinesh Babu Jayagopi, Sileye O. Ba, Jean-Marc Odobez, Daniel Gatica-Perez:
Investigating automatic dominance estimation in groups from visual attention and speaking activity. ICMI 2008: 233-236 - [c2]Dinesh Babu Jayagopi, Hayley Hung, Chuohao Yeo, Daniel Gatica-Perez:
Predicting the dominant clique in meetings through fusion of nonverbal cues. ACM Multimedia 2008: 809-812 - 2007
- [j1]K. Rajgopal, Dinesh Babu J., S. Venkataraman:
Generalized adaptive IFIR filter bank structures. Signal Process. 87(7): 1575-1596 (2007) - [c1]Hayley Hung, Dinesh Babu Jayagopi, Chuohao Yeo, Gerald Friedland, Sileye O. Ba, Jean-Marc Odobez, Kannan Ramchandran, Nikki Mirghafori, Daniel Gatica-Perez:
Using audio and video features to classify the most dominant person in a group meeting. ACM Multimedia 2007: 835-838
Coauthor Index
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