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
A
| Clustering flood events from water quality time-series using Latent Dirichlet Allocation model, , , , , , , , , and , in: Water Resources Research, 2013 |
[DOI] |
| Discovering Temporal Patterns in Water Quality Time Series, Focusing on Floods with the LDA method, , , , , , , and , in: European Geosciences Union, 2013 |
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B
| Visual activity context for focus of attention estimation in dynamic meetings, , and , Idiap-RR-02-2009 |
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| Visual Activity Context For Focus of Attention Estimation in Dynamic Meetings, , and , in: International Conference on Multimedia & Expo, 2009 |
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| Multi-Person Visual Focus of Attention from Head Pose and Meeting Contextual Cues, and , in: IEEE Trans. on Pattern Analysis and Machine Intelligence, 33(1):101-116, 2011 |
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| Recognizing Human Visual Focus of Attention from Head Pose in Meetings, and , in: IEEE Transactions on Systems, Man, Cybernetics, Part-B, Vol. 39(No. 1), 2009 |
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| Multi-party Focus of Attention Recognition in Meetings from Head Pose and Multimodal Contextual Cues, and , in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2008 |
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| Visual Focus of Attention Estimation from Head Pose Posterior Probability Distributions, and , in: International Conference on Multi-media & Expo, 2008 |
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| Multi-Person Visual Focus of Attention from Head Pose and Meeting Contextual Cues, and , Idiap-RR-47-2008 |
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| Probabilistic Head Pose Tracking Evaluation in Single and Multiple Camera Setups, and , in: Classification of Events, Activities and Relationship Evaluation and Workshop, 2007 |
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| Probabilistic Head Pose Tracking Evaluation in Single and Multiple Camera Setups, and , Idiap-RR-21-2007 |
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| Multi-party Focus of Attention Recognition in Meetings from Head Pose and Multimodal Contextual Cues, and , Idiap-RR-50-2007 |
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| Visual Focus of Attention Estimation from Head Pose Posterior Probability Distributions, and , Idiap-RR-75-2007 |
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| A Study on Visual Focus of Attention Recognition from Head Pose in a Meeting Room, and , in: 3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI06), 2006 |
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| Recognizing People's Focus of Attention from Head Poses: a Study, and , Idiap-RR-42-2006 |
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| A Study on Visual Focus of Attention Recognition from Head Pose in a Meeting Room, and , Idiap-RR-10-2006 |
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| A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking, and , in: ACM ICMI Workshop on Multimodal Multiparty Meeting Processing (MMMP), 2005 |
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| A Video Database for Head Pose Tracking Evaluation, and , Idiap-Com-04-2005 |
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| Evaluation of Multiple Cues Head Pose Tracking Algorithm in Natural Environments, and , in: International Conference on Multimedia & Expo ICME 2005, 2005 |
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| Evaluation of Multiple Cues Head Pose Tracking Algorithm in Indoor Environments, and , Idiap-RR-05-2005 |
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| A Rao-Blackwellized Mixed State Particle Filter for Head Pose Tracking, and , Idiap-RR-35-2005 |
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| A probabilistic framework for joint head tracking and pose estimation, and , in: 17th Int. Conf. Pattern Recognition (ICPR), 2004 |
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| A Probabilistic Framework for Joint Head Tracking and Pose Estimation, and , Idiap-RR-78-2003 |
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| Sports Event Recognition using Layered HMMs, and , Idiap-RR-07-2005 |
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| Robust Playfield Segmentation using MAP Adaptation, and , in: Proc. 17th International Conference on Pattern Recognition (ICPR 2004), 2004 |
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| Multi-Modal Audio-Visual Event Recognition for Football Analysis, , and , in: Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP), 2003 |
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| Multi-Modal Audio-Visual Event Recognition for Football Analysis, , and , Idiap-RR-12-2003 |
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| Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders, , , and , in: IAPR Int. Workshops on Structural and Syntactic Pattern Recognition (SSPR), 2016 |
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| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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C
| Maya Codical Glyph Segmentation: A Crowdsourcing Approach, , and , in: IEEE Transactions on Multimedia, 20(3):711-725, 2018 |
[DOI] [URL] |
| How to Tell Ancient Signs Apart? Recognizing and Visualizing Maya Glyphs with CNNs, , and , in: ACM Journal on Computing and Cultural Heritage (JOCCH), 11(4):20, 2018 |
[DOI] |
| Maya Codical Glyph Segmentation: A Crowdsourcing Approach, , and , Idiap-RR-01-2017 |
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| Shape Representations for Maya Codical Glyphs: Knowledge-driven or Deep?, , and , in: 15th International Workshop on Content-Based Multimedia Indexing, 2017 |
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| Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning, , École Polytechnique Fédérale de Lausanne, 2017 |
[DOI] |
| Evaluating Shape Representations for Maya Glyph Classification, , and , in: ACM Journal on Computing and Cultural Heritage (JOCCH), 9(3), 2016 |
| Is That a Jaguar? Segmenting Ancient Maya Glyphs via Crowdsourcing, , and , in: Proc. ACM Int. Workshop on Crowdsourcing for Multimedia, Orlando, pages 37-40, ACM New York, 2014 |
[DOI] |
| Ancient Maya Writings as High-Dimensional Data: a Visualization Approach, , , and , in: Digital Humanities (DH), Krakow, 2016 |
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| The MuMMER data set for Robot Perception in multi-party HRI Scenarios, , , and , in: Proceedings of the 29th IEEE International Conference on Robot & Human Interactive Communication, 2020 |
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| Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation, , and , in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, SPAIN, pages 1089-1094, IEEE, 2018 |
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| understanding metro station usage using closed circuit television cameras analysis, , , , , , and , Idiap-RR-38-2008 |
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| Understanding Metro Station Usage using Closed Circuit Television Cameras Analysis, , , , , , and , in: 11th International IEEE Conference on Intelligent Transportation Systems (ITSC), Bejing, 2008 |
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| Combined Estimation of Location and Body Pose in Surveillance Video, , and , in: AVSS, 2011 |
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| A Joint Estimation of Head and Body Orientation Cues in Surveillance Video, , and , in: IEEE International Workshop on Socially Intelligent Surveillance and Monitoring, 2011 |
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| We are not Contortionists: Coupled Adaptive Learning for Head and Body Orientation Estimation in Surveillance Video, and , in: IEEE International Conference on Computer Vision and Pattern Recognition, 2012 |
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