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Ognjen Rudovic
Ognjen (Oggi) Rudovic – Oggi Rudovic
Person information
- affiliation: MIT Media Lab
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2020 – today
- 2024
- [c50]Gautam Krishna, Sameer Dharur, Oggi Rudovic, Pranay Dighe, Saurabh Adya, Ahmed Hussen Abdelaziz, Ahmed H. Tewfik:
Modality Drop-Out for Multimodal Device Directed Speech Detection Using Verbal and Non-Verbal Features. ICASSP 2024: 8240-8244 - [i28]Satyam Kumar, Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Vineet Garg, Shivesh Ranjan, Ognjen Rudovic, Ahmed Hussen Abdelaziz, Saurabh Adya:
Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness. CoRR abs/2406.09443 (2024) - [i27]Shruti Palaskar, Oggi Rudovic, Sameer Dharur, Florian Pesce, Gautam Krishna, Aswin Sivaraman, Jack Berkowitz, Ahmed Hussen Abdelaziz, Saurabh Adya, Ahmed H. Tewfik:
Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection. CoRR abs/2406.09617 (2024) - [i26]Ognjen Rudovic, Pranay Dighe, Yi Su, Vineet Garg, Sameer Dharur, Xiaochuan Niu, Ahmed Hussen Abdelaziz, Saurabh Adya, Ahmed H. Tewfik:
Device-Directed Speech Detection for Follow-up Conversations Using Large Language Models. CoRR abs/2411.00023 (2024) - 2023
- [c49]Pranay Dighe, Prateeth Nayak, Oggi Rudovic, Erik Marchi, Xiaochuan Niu, Ahmed H. Tewfik:
Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR. ICASSP 2023: 1-5 - [c48]Oggi Rudovic, Wonil Chang, Vineet Garg, Pranay Dighe, Pramod Simha, Jack Berkowitz, Ahmed Hussen Abdelaziz, Sachin Kajarekar, Erik Marchi, Saurabh Adya:
Less Is More: A Unified Architecture for Device-Directed Speech Detection with Multiple Invocation Types. ICASSP 2023: 1-5 - [i25]Gautam Krishna, Sameer Dharur, Oggi Rudovic, Pranay Dighe, Saurabh Adya, Ahmed Hussen Abdelaziz, Ahmed H. Tewfik:
Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features. CoRR abs/2310.15261 (2023) - 2022
- [j14]Zhonghao Shi
, Thomas R. Groechel
Toward Personalized Affect-Aware Socially Assistive Robot Tutors for Long-Term Interventions with Children with Autism. ACM Trans. Hum. Robot Interact. 11(4): 39:1-39:28 (2022) - [c47]Javier Hernandez, Daniel McDuff, Ognjen (Oggi) Rudovic, Alberto Fung, Mary Czerwinski:
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization. ACII 2022: 1-8 - [c46]Ognjen (Oggi) Rudovic, Akanksha Bindal, Vineet Garg, Pramod Simha, Pranay Dighe, Sachin Kajarekar:
Streaming on-Device Detection of Device Directed Speech from Voice and Touch-Based Invocation. ICASSP 2022: 491-495 - [c45]Vineet Garg, Ognjen Rudovic, Pranay Dighe, Ahmed Hussen Abdelaziz, Erik Marchi, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik:
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models. INTERSPEECH 2022: 1258-1262 - [i24]Vineet Garg, Ognjen Rudovic, Pranay Dighe, Ahmed Hussen Abdelaziz, Erik Marchi, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik:
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models. CoRR abs/2203.15975 (2022) - [i23]Pranay Dighe, Prateeth Nayak, Oggi Rudovic, Erik Marchi, Xiaochuan Niu, Ahmed H. Tewfik:
Audio-to-Intent Using Acoustic-Textual Subword Representations from End-to-End ASR. CoRR abs/2210.12134 (2022) - 2021
- [j13]Pablo V. A. Barros
Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data. IEEE Trans. Affect. Comput. 12(3): 551-552 (2021) - [i22]Ognjen Rudovic, Nicolas Tobis, Sebastian Kaltwang, Björn W. Schuller, Daniel Rueckert, Jeffrey F. Cohn, Rosalind W. Picard:
Personalized Federated Deep Learning for Pain Estimation From Face Images. CoRR abs/2101.04800 (2021) - [i21]Zhonghao Shi, Thomas R. Groechel, Shomik Jain, Kourtney Chima, Ognjen Rudovic, Maja J. Mataric:
Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism. CoRR abs/2101.10580 (2021) - [i20]Javier Hernandez, Daniel McDuff, Ognjen Rudovic, Alberto Fung, Mary Czerwinski:
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization. CoRR abs/2103.02484 (2021) - [i19]Ognjen Rudovic, Akanksha Bindal, Vineet Garg, Pramod Simha, Pranay Dighe, Sachin Kajarekar:
Streaming on-device detection of device directed speech from voice and touch-based invocation. CoRR abs/2110.04656 (2021) - 2020
- [j12]Behnam Gholami
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. IEEE Trans. Image Process. 29: 3993-4002 (2020) - [c44]Ognjen (Oggi) Rudovic:
Personalized Machine Learning for Human-centered Machine Intelligence. MuSe @ ACM Multimedia 2020: 3-4
2010 – 2019
- 2019
- [j11]Robert Walecki
Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity. IEEE Trans. Affect. Comput. 10(3): 297-312 (2019) - [c43]Ognjen (Oggi) Rudovic, Hae Won Park, John Busche, Björn W. Schuller
Personalized Estimation of Engagement From Videos Using Active Learning With Deep Reinforcement Learning. CVPR Workshops 2019: 217-226 - [c42]Ognjen Rudovic, Meiru Zhang, Björn W. Schuller
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach. ICMI 2019: 6-15 - [c41]Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic
Sequential Dependence and Non-linearity in Affective Responses: a Skin Conductance Example. AffComp@IJCAI 2019: 9-27 - [c40]Ognjen (Oggi) Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard:
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. MLHC 2019: 181-196 - [i18]Ognjen Rudovic, Yuria Utsumi, Ricardo Guerrero, Kelly Peterson, Daniel Rueckert, Rosalind W. Picard:
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. CoRR abs/1904.09370 (2019) - [i17]Ognjen Rudovic, Meiru Zhang, Björn W. Schuller, Rosalind W. Picard:
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach. CoRR abs/1906.03098 (2019) - [i16]Mihee Lee, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic:
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model. CoRR abs/1909.12158 (2019) - 2018
- [j10]Adria Ruiz
Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis. IEEE Trans. Image Process. 27(8): 3969-3982 (2018) - [c39]Yuria Utsumi, Ognjen (Oggi) Rudovic, Kelly Peterson, Ricardo Guerrero, Rosalind W. Picard:
Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13). EMBC 2018: 4007-4011 - [c38]Ognjen Rudovic, Yuria Utsumi, Jaeryoung Lee
CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism. IROS 2018: 339-346 - [c37]Michael Feffer, Ognjen (Oggi) Rudovic, Rosalind W. Picard:
A Mixture of Personalized Experts for Human Affect Estimation. MLDM (2) 2018: 316-330 - [p2]Yannis Panagakis, Ognjen Rudovic, Maja Pantic:
Learning for multimodal and affect-sensitive interfaces. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) 2018: 71-98 - [i15]Eduardo Castelló Ferrer, Ognjen Rudovic, Thomas Hardjono, Alex Pentland:
RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction. CoRR abs/1802.04480 (2018) - [i14]Yuria Utsumi, Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero, Rosalind W. Picard:
Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13). CoRR abs/1802.08561 (2018) - [i13]Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic:
Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis. CoRR abs/1803.00907 (2018) - [i12]Behnam Gholami, Pritish Sahu, Ognjen Rudovic, Konstantinos Bousmalis, Vladimir Pavlovic:
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach. CoRR abs/1810.11547 (2018) - 2017
- [j9]Ognjen Rudovic, Jaeryoung Lee
Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study. Frontiers Robotics AI 4: 36 (2017) - [j8]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic
Variable-state Latent Conditional Random Field models for facial expression analysis. Image Vis. Comput. 58: 25-37 (2017) - [j7]Stefanos Eleftheriadis
Gaussian Process Domain Experts for Modeling of Facial Affect. IEEE Trans. Image Process. 26(10): 4697-4711 (2017) - [c36]Weixuan Chen, Ognjen (Oggi) Rudovic, Rosalind W. Picard:
GIFGIF+: Collecting emotional animated GIFs with clustered multi-task learning. ACII 2017: 410-417 - [c35]Misha Sra, Prashanth Vijayaraghavan, Ognjen Rudovic, Pattie Maes, Deb Roy:
DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music. CVPR Workshops 2017: 2289-2298 - [c34]Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard:
Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions. CVPR Workshops 2017: 2318-2327 - [c33]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic
Deep Structured Learning for Facial Action Unit Intensity Estimation. CVPR 2017: 5709-5718 - [c32]Ryo Suzuki, Jaeryoung Lee
NAO-Dance Therapy for Children with ASD. HRI (Companion) 2017: 295-296 - [c31]Dieu Linh Tran, Robert Walecki, Ognjen Rudovic, Stefanos Eleftheriadis, Björn W. Schuller
DeepCoder: Semi-Parametric Variational Autoencoders for Automatic Facial Action Coding. ICCV 2017: 3209-3218 - [c30]Behnam Gholami, Ognjen Rudovic, Vladimir Pavlovic
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories. ICCV 2017: 3601-3610 - [c29]Dianbo Liu, Fengjiao Peng, Ognjen (Oggi) Rudovic, Rosalind W. Picard:
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain. AffComp@IJCAI 2017: 1-16 - [c28]Natasha Jaques, Ognjen (Oggi) Rudovic, Sara Taylor, Akane Sano, Rosalind W. Picard:
Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. AffComp@IJCAI 2017: 17-33 - [c27]Cuong D. Tran, Ognjen (Oggi) Rudovic, Vladimir Pavlovic
Unsupervised domain adaptation with copula models. MLSP 2017: 1-6 - [p1]Ognjen Rudovic, Mihalis A. Nicolaou, Vladimir Pavlovic
Machine Learning Methods for Social Signal Processing. Social Signal Processing 2017: 234-254 - [i11]Dieu Linh Tran, Robert Walecki, Ognjen Rudovic, Stefanos Eleftheriadis, Björn W. Schuller, Maja Pantic:
DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation. CoRR abs/1704.02206 (2017) - [i10]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Björn W. Schuller, Maja Pantic:
Deep Structured Learning for Facial Action Unit Intensity Estimation. CoRR abs/1704.04481 (2017) - [i9]Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard:
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions. CoRR abs/1706.07154 (2017) - [i8]Dianbo Liu, Fengjiao Peng, Andrew Shea, Ognjen Rudovic, Rosalind W. Picard:
DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain. CoRR abs/1708.04670 (2017) - [i7]Cuong D. Tran, Ognjen Rudovic, Vladimir Pavlovic:
Unsupervised Domain Adaptation with Copula Models. CoRR abs/1710.00018 (2017) - [i6]Daniel Lopez Martinez, Ognjen Rudovic, Rosalind W. Picard:
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning. CoRR abs/1711.04036 (2017) - [i5]Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero, Rosalind W. Picard:
Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression. CoRR abs/1712.00181 (2017) - 2016
- [j6]Stefanos Eleftheriadis
Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach. IEEE Trans. Image Process. 25(12): 5727-5742 (2016) - [c26]Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic:
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units. ACCV (2) 2016: 154-170 - [c25]Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic:
Multi-Instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation. ACCV (2) 2016: 171-186 - [c24]Robert Walecki, Ognjen Rudovic, Maja Pantic, Vladimir Pavlovic
A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity. CVPR Workshops 2016: 1460-1468 - [c23]Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic:
Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis. CVPR Workshops 2016: 1469-1477 - [c22]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic
Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity. CVPR 2016: 4902-4910 - [c21]Nemanja Rakicevic, Ognjen Rudovic, Stavros Petridis, Maja Pantic:
Multi-modal Neural Conditional Ordinal Random Fields for agreement level estimation. ICPR 2016: 2228-2233 - [c20]Ognjen (Oggi) Rudovic:
Machine learning for affective computing and its applications to automated measurement of human facial affect. MHS 2016: 1 - [i4]Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic:
Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis. CoRR abs/1604.02917 (2016) - [i3]Stefanos Eleftheriadis, Ognjen Rudovic, Marc Peter Deisenroth, Maja Pantic:
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units. CoRR abs/1608.04664 (2016) - [i2]Adria Ruiz, Ognjen Rudovic, Xavier Binefa, Maja Pantic:
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation. CoRR abs/1609.01465 (2016) - 2015
- [j5]Ognjen Rudovic, Vladimir Pavlovic
Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units. IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 944-958 (2015) - [j4]Stefanos Eleftheriadis, Ognjen Rudovic, Maja Pantic:
Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition. IEEE Trans. Image Process. 24(1): 189-204 (2015) - [c19]Jie Shen, Ognjen Rudovic, Shiyang Cheng, Maja Pantic:
Sentiment apprehension in human-robot interaction with NAO. ACII 2015: 867-872 - [c18]Nemanja Rakicevic, Ognjen Rudovic, Stavros Petridis, Maja Pantic:
Neural conditional ordinal random fields for agreement level estimation. ACII 2015: 885-890 - [c17]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic
Variable-state latent conditional random fields for facial expression recognition and action unit detection. FG 2015: 1-8 - [c16]Stefanos Eleftheriadis, Ognjen Rudovic, Maja Pantic:
Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection. ICCV 2015: 3792-3800 - [i1]Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic:
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection. CoRR abs/1510.03909 (2015) - 2014
- [j3]Javier Orozco, Ognjen Rudovic, Jordi Gonzàlez
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. 32(1): 86 (2014) - [c15]Shuang Yang, Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic:
Personalized Modeling of Facial Action Unit Intensity. ISVC (2) 2014: 269-281 - [c14]Stefanos Eleftheriadis, Ognjen Rudovic, Maja Pantic:
View-Constrained Latent Variable Model for Multi-view Facial Expression Classification. ISVC (2) 2014: 292-303 - 2013
- [b1]Ognjen Rudovic:
Machine learning techniques for automated analysis of facial expressions. Imperial College London, UK, 2013 - [j2]Javier Orozco, Ognjen Rudovic, Jordi Gonzàlez
Hierarchical On-line Appearance-Based Tracking for 3D head pose, eyebrows, lips, eyelids and irises. Image Vis. Comput. 31(4): 322-340 (2013) - [j1]Ognjen Rudovic, Maja Pantic, Ioannis Patras
Coupled Gaussian Processes for Pose-Invariant Facial Expression Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1357-1369 (2013) - [c13]Ognjen Rudovic, Vladimir Pavlovic
Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation. ICCV Workshops 2013: 492-499 - [c12]Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic:
Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields. ISVC (2) 2013: 234-243 - [c11]Stefanos Eleftheriadis, Ognjen Rudovic, Maja Pantic:
Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition. ISVC (1) 2013: 527-538 - [c10]Ognjen Rudovic, Stavros Petridis, Maja Pantic:
Bimodal log-linear regression for fusion of audio and visual features. ACM Multimedia 2013: 789-792 - 2012
- [c9]Ognjen Rudovic, Vladimir Pavlovic
Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation. CVPR 2012: 2634-2641 - [c8]Ognjen Rudovic, Vladimir Pavlovic, Maja Pantic:
Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units. ECCV Workshops (2) 2012: 260-269 - [c7]Sebastian Kaltwang
Continuous Pain Intensity Estimation from Facial Expressions. ISVC (2) 2012: 368-377 - 2011
- [c6]Ognjen Rudovic, Maja Pantic:
Shape-constrained Gaussian process regression for facial-point-based head-pose normalization. ICCV 2011: 1495-1502 - 2010
- [c5]Ognjen Rudovic, Ioannis Patras
Facial expression invariant head pose normalization using Gaussian Process Regression. CVPR Workshops 2010: 28-33 - [c4]Ognjen Rudovic, Ioannis Patras
Coupled Gaussian Process Regression for Pose-Invariant Facial Expression Recognition. ECCV (2) 2010: 350-363 - [c3]Ognjen Rudovic, Ioannis Patras
Regression-Based Multi-view Facial Expression Recognition. ICPR 2010: 4121-4124
2000 – 2009
- 2008
- [c2]Bhaskar Chakraborty, Ognjen Rudovic, Jordi Gonzàlez
View-invariant human-body detection with extension to human action recognition using component-wise HMM of body parts. FG 2008: 1-6 - [c1]Javier Orozco, Ognjen Rudovic, F. Xavier Roca
Confidence assessment on eyelid and eyebrow expression recognition. FG 2008: 1-8
Coauthor Index
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