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 title
V
| Video Text Recognition using Sequential Monte Carlo and Error Voting Methods, and , in: Pattern Recognition Letters, 26(9), 2005 |
|
| Video Text Segmentation Using Particle Filters, and , Idiap-RR-43-2003 |
|
| View-Based Appearance Model Online Learning for 3D Deformable Face Tracking, and , in: Proc. Int. Conf. on Computer Vision Theory and Applications, Angers, 2010 |
|
| Visual activity context for focus of attention estimation in dynamic meetings, , and , Idiap-RR-02-2009 |
|
| Visual Activity Context For Focus of Attention Estimation in Dynamic Meetings, , and , in: International Conference on Multimedia & Expo, 2009 |
|
| Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning, , École Polytechnique Fédérale de Lausanne, 2017 |
[DOI] |
| Visual Attention, Speaking Activity, and Group Conversational Analysis in Multi-Sensor Environments, and , in: In H. Nakashima, J. Augusto, H. Aghajan (Eds.,',','), Handbook of Ambient Intelligence and Smart Environments, Springer, 2010 |
| Visual Focus of Attention Estimation from Head Pose Posterior Probability Distributions, and , in: International Conference on Multi-media & Expo, 2008 |
|
| Visual Focus of Attention Estimation from Head Pose Posterior Probability Distributions, and , Idiap-RR-75-2007 |
|
| 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 |
|
W
| WatchNet++: Efficient and accurate depth-based network for detecting people attacks and intrusion, , , and , in: Machine Vision and Applications, 2020 |
|
| 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 |
|
| 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 |
|
| What to Show? Automatic Stream Selection Among Multiple Sensors, , and , in: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2014 |
|
| Who Will Get the Grant ? A Multimodal Corpus for the Analysis of Conversational Behaviours in Group Interviews, , , , and , in: International Conference on Multimodal Interaction, Understanding and Modeling Multiparty, Multimodal Interactions Workshop, Istanbul, Turkey, ACM, 2014 |
[DOI] |