Ognjen Rudovic
Affiliations:- MIT Media Lab
According to our database1,
Ognjen Rudovic
authored at least 74 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2023
Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features.
CoRR, 2023
Less Is More: A Unified Architecture for Device-Directed Speech Detection with Multiple Invocation Types.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models.
Proceedings of the Interspeech 2022, 2022
Streaming on-Device Detection of Device Directed Speech from Voice and Touch-Based Invocation.
Proceedings of the IEEE International Conference on Acoustics, 2022
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022
2021
Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data.
IEEE Trans. Affect. Comput., 2021
Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism.
CoRR, 2021
CoRR, 2021
2020
IEEE Trans. Image Process., 2020
Proceedings of the MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020
2019
Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity.
IEEE Trans. Affect. Comput., 2019
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes.
Proceedings of the Machine Learning for Healthcare Conference, 2019
Sequential Dependence and Non-linearity in Affective Responses: a Skin Conductance Example.
Proceedings of the Workshop on Artificial Intelligence in Affective Computing, 2019
Proceedings of the International Conference on Multimodal Interaction, 2019
Personalized Estimation of Engagement From Videos Using Active Learning With Deep Reinforcement Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis.
IEEE Trans. Image Process., 2018
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018
CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13).
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2018
2017
IEEE Trans. Image Process., 2017
Variable-state Latent Conditional Random Field models for facial expression analysis.
Image Vis. Comput., 2017
Frontiers Robotics AI, 2017
Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression.
CoRR, 2017
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning.
CoRR, 2017
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain.
CoRR, 2017
DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation.
CoRR, 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain.
Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), 2017
Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation.
Proceedings of the 1st IJCAI Workshop on Artificial Intelligence in Affective Computing (AffComp 2017), 2017
DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding.
Proceedings of the IEEE International Conference on Computer Vision, 2017
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017
Proceedings of the Social Signal Processing, 2017
2016
Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach.
IEEE Trans. Image Process., 2016
Machine learning for affective computing and its applications to automated measurement of human facial affect.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation.
Proceedings of the Computer Vision - ACCV 2016, 2016
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units.
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition.
IEEE Trans. Image Process., 2015
Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units.
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Variable-state latent conditional random fields for facial expression recognition and action unit detection.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015
2014
Corrigendum to "Hierarchical On-line Appearance-Based Tracking for 3D Head Pose, Eyebrows, Lips, Eyelids and Irises" [Image Vision Comput. (2013) 322-340].
Image Vis. Comput., 2014
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
View-Constrained Latent Variable Model for Multi-view Facial Expression Classification.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
2013
PhD thesis, 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Hierarchical On-line Appearance-Based Tracking for 3D head pose, eyebrows, lips, eyelids and irises.
Image Vis. Comput., 2013
Proceedings of the ACM Multimedia Conference, 2013
Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013
Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013
Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013
2012
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012
Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012
Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Shape-constrained Gaussian process regression for facial-point-based head-pose normalization.
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Coupled Gaussian Process Regression for Pose-Invariant Facial Expression Recognition.
Proceedings of the Computer Vision, 2010
Facial expression invariant head pose normalization using Gaussian Process Regression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2008
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008
View-invariant human-body detection with extension to human action recognition using component-wise HMM of body parts.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008