Keywords:
- 3D face model
- abnormality detection
- acoustic generators
- Acoustic signal processing
- activity
- appearance based methods
- Appearance based model
- appearance model
- Archaeology
- Artificial Neural Networks
- attention
- audio-visual speaker recognition
- Autism
- backchannels
- Bayesian modeling
- behavior analysis.
- bias correction
- blink
- bobbing estimation
- camera network
- Children
- clustering
- cognition
- Computer Vision
- Content-based multimedia indexing
- conversation
- convolutional network
- Convolutional neural network.
- Convolutional Neural Networks
- corpus
- covariance matrices
- Crowdsourcing
- Cultural heritage
- dataset
- deep learning
- Deep Metric Learning.
- deep neural networks
- Delays
- diarization
- Dimensionality reduction
- direction-of-arrival estimation
- DOA estimation
- domain adaptation
- embedding
- embedding learning
- Encoding
- entrainment to music
- Epigraphy
- Estimation
- eye movements
- eye tracking
- eye-gaze
- Face
- face clustering
- Face dirarization
- Face Recognition
- Face tracking
- Facial animations
- Feature extraction
- Feature-based tracking
- first impressions
- focus of attention
- gait
- Gaze
- Gaze Coding
- gaze detection
- Gaze estimation
- generative models
- geometric method
- grapevine pruning
- group dynamics
- HCI
- head nods
- Head pose
- Head pose tracking
- head-pose invariance
- HHI
- hieroglyph
- Histogram of orientation
- HOOSC
- HRI
- human activity recognition
- human behaviour analysis
- human detection
- Human pose estimation
- human-robot interaction
- image rectification
- image retrieval
- image segmentation
- indexing
- information fusion
- information visualization
- internet of things
- involvement
- keyframe extraction
- language
- learning
- likelihood-based encoding
- listener categories
- machine learning
- manipulation
- Maya civilization
- Maya culture
- Maya glyph
- maya glyphs
- Metric learning
- microphone arrays
- Microphones
- mixed activity
- Monte Carlo methods
- motif mining
- multi-camera
- multi-object tracking
- Multimodal
- multimodal identification
- Multimodal interaction
- Multimodal person diarization
- multiple face tracking
- multiple sound sources
- multiple speaker detection
- multivariate time series
- network output
- neural nets
- neural network-based sound source localization methods
- neural networks
- non parametric models
- non-verbal cues
- Nonverbal behavior
- OCR
- online calibration.
- particle filter
- person diarization
- person discovery
- person identification
- person invariance
- Person Tracking
- plant skeleton
- pLSA
- Position measurement
- precision viticulture
- real-time
- remote
- remote recording
- remote sensing
- remote sensor
- representation learning
- RGB-D
- RGB-D camera
- RGB-D cameras
- road vehicles
- Robots
- saccade
- Sampling
- scene analysis
- segmentation
- shape classification
- Shape descriptor
- shape recognition
- Shape retrieval
- shot boundary detection
- simultaneous detection
- single sound source
- sketch
- skin colour
- social computing
- sound mixtures
- sound source localization
- sparse autoencoder
- sparse coding
- spatial spectrum-based approaches
- speaker
- Speaker Diarization
- Speaker identification
- speaker recognition
- speaker verification
- spectral shot clustering
- Speech
- surveillance
- topic models
- tracking
- training
- transfer learning
- triplet loss
- unsupervised
- Unsupervised · Latent sequential patterns · Topic models · PLSA · Video surveillance · Activity analysis
- unsupervised activity analysis
- unsupervised calibration
- unsupervised learning
- usability
- user study
- variational inference
- ve- hicle detection.
- VFOA
- video
- video processing
- video structuring
- vineyard
- virtual agents
- visual focus of attention
- Visual similarity
- weakly-supervised learning.
Publications of Jean-Marc Odobez sorted by first author
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| Context Aware Addressee Estimation for Human Robot Interaction, , , and , in: Proceedings of the 6th Workshop on Eye Gaze in Intelligent Human Machine Interaction: Gaze in Multimodal Interaction, 2013 |
| Leveraging the robot dialog state for visual focus of attention recognition, , , , and , in: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, 2013 |
| Recognizing the Visual Focus of Attention for Human Robot Interaction, , and , in: IEEE International Conference on Intelligent Robots and Systems (IROS) - Human Behavior Understanding Workshop(IROS-HBU), 2012 |
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| Combining dynamic head pose-gaze mapping with the robot conversational state for attention recognition in human-robot interactions, and , in: Pattern Recognition Letters, 66:81-90, 2015 |
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| Investigating the Midline Effect for Visual Focus of Attention Recognition, and , in: Int Conf. on Multimodal Interaction (ICMI), Santa Monica, 2012 |
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| ManiGaze: a Dataset for Evaluating Remote Gaze Estimator in Object Manipulation Situations, , and , in: Symposium on Eye Tracking Research and Applications, Stuttgart, Germany, pages 5, ACM, 2020 |
[DOI] |
| Robust Unsupervised Gaze Calibration using Conversation and Manipulation Attention Priors, and , in: ACM Transactions on Multimedia Computing, Communications, and Applications, 18(1):26, 2022 |
[DOI] [URL] |
| Visual Focus of Attention Estimation in 3D Scene with an Arbitrary Number of Targets, and , in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pages 9, IEEE, 2021 |
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| Supervised Gaze Bias Correction for Gaze Coding in Interactions, and , Idiap-RR-23-2017 |
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| Supervised Gaze Bias Correction for Gaze Coding in Interactions, and , in: ECEM COGAIN Symposium, pages 3, 2017 |
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| A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos, , and , in: 2019 ACM Symposium on Eye Tracking Research and Applications, pages 5, ACM, 2019 |
[DOI] |
| Towards the Use of Social Interaction Conventions as Prior for Gaze Model Adaptation, , and , in: Proceedings of 19th ACM International Conference on Multimodal Interaction, pages 9, ACM, 2017 |
[DOI] |
| Tracking the Multi Person Wandering Visual Focus of Attention, , , and , in: International Conference on Multimodal Interfaces (ICMI06), 2006 |
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| Tracking the Multi Person Wandering Visual Focus of Attention, , , and , Idiap-RR-80-2005 |
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| Tracking the visual focus of attention for a varying number of wandering people, , , and , in: IEEE Trans. on Pattern Analysis and Machine Intelligence, 30(7), 2008 |
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| Tracking Attention for Multiple People: Wandering Visual Focus of Attention Estimation, , , and , Idiap-RR-40-2006 |
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| The AI4Autism Project: A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification, , , , , , , and , in: Companion Publication of the 25th International Conference on Multimodal Interaction, Paris, France, pages 414–425, Association for Computing Machinery, 2023 |
[DOI] [URL] |
| ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour, , and , in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023 |
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| Time-Sensitive Topic Models for Action Recognition in Videos, , and , in: IEEE International Conference on Image Processing, 2013 |
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| Investigating time-sensitive topic model approaches for action recognition, , and , Idiap-RR-26-2013 |
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| A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs, , and , in: International Journal of Computer Vision, 103(1):100-126, 2013 |
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| Bridging the Past, Present and Future: Modeling Scene Activities From Event Relationships and Global Rules, , and , in: IEEE Conference on Computer Vision and Pattern Recognition, 2012, Providence, Rhode Island, USA, 2012 |
| Sparsity in Topic Models, , and , in: Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond, MIT Press, 2012 |
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| Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes, , and , Idiap-RR-33-2010 |
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| Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes, , and , in: BMVC 2010, Aberystwyth University, Aberystwyth, BMVA Press, 2010 |
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| A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, , and , Idiap-RR-36-2010 |
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| A Sparsity Constraint for Topic Models - Application to Temporal Activity Mining, , and , in: NIPS-2010 Workshop on Practical Applications of Sparse Modeling: Open Issues and New Directions, 2010 |
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| Extracting Motifs from Time Series Generated by Concurrent Activities., , and , in: NIPS workshop on Learning and Planning from Batch Time Series Data, 2010 |
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| Topic Models for Scene Analysis and Abnormality Detection, and , in: 9th International Workshop in Visual Surveillance, IEEE, Kyoto, Japan, IEEE, 2009 |
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| Active Online Anomaly Detection using Dirichlet Process Mixture Model and Gaussian Process Classification, , , , and , in: IEEE Winter Conference on Applications of Computer Vision (WACV), Washington, 2017 |
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| Multi-scale sequential network for semantic text segmentation and localization, , and , in: Pattern Recognition Letters, 129:63-69, 2020 |
[DOI] [URL] |
| WatchNet++: Efficient and accurate depth-based network for detecting people attacks and intrusion, , , and , in: Machine Vision and Applications, 2020 |
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| WatchNet: Efficient and Depth-based Network for People Detection in Video Surveillance Systems, , , and , in: IEEE International Conference on Advanced Video and Signal-based Surveillance, Auckland, NEW ZEALAND, pages 109-114, 2018 |
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| Application of Information Retrieval Technologies to Presentation Slides, and , in: IEEE Transactions on Multimedia, 8(5), 2006 |
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| Application of Information Retrieval Technologies to Presentation Slides, and , Idiap-RR-36-2005 |
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| Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition, , , , , , and , in: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016 |
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| Fast Human Detection from Joint Appearance and Foreground Feature Subset Covariances, and , in: Computer Vision and Image Understanding, 115(10):1414-1426, 2011 |
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| Fast Human Detection in Videos using Joint Appearance and Foreground Learning from Covariances of Image Feature Subsets, and , Idiap-RR-19-2009 |
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| Multi-Person Bayesian Tracking with Multiple Cameras, and , in: Multi-camera networks: principles and applications, pages 363-388, Academic Press, 2009 |
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