Keywords:
- AI competencies
- AI Literacy
- AI skills
- Alcohol
- Alcohol Consumption
- alcohol use
- Ambiance
- App-based survey
- Archaeology
- Assessment reactivity
- attractiveness
- attrition
- audio-visual feature extraction
- behavior
- BERT
- Big-Five
- booktube
- Casual Drinking
- Characterizing small groups
- Citizen Sourcing
- classifiers
- clustering
- cohesion
- collective classification
- Computational linguistics
- computer algorithm
- computer vision
- Convolutional Neural Networks
- corpus
- Crowdsourcing
- Cultural heritage
- data collection
- Data Literacy
- deep learning
- depression detection
- developing country
- Differential Privacy
- digital biomarker
- Dimensionality reduction
- Distribution Shift
- diversity
- domain adaptation
- Drink size
- Drinking behaviours
- drinking context
- Eating Behavior
- Ecological momentary assessment
- Ecological momentary assessment (EMA)
- Emergent leadership
- Emerging power hierarchies
- Energy Expenditure Estimation
- Epigraphy
- explainability
- Facial & Body landmarks
- first impressions
- Flickr groups LDA
- Flickr PLSA topic-model communities
- Food Consumption
- food diaries
- foursquare
- generalization
- Generative Ai
- Generative AI Literacy
- Gestures
- Graph Convolutional Networks
- Graph Neural Networks
- Graph Representation Learning
- group interaction
- Group performance.
- health
- Heavy Drinking
- hieroglyph
- hirability
- Histogram of orientation
- Home Spaces
- HOOSC
- human mobility
- image retrieval
- impressions
- indexing
- information visualization
- Inter-pretable Models
- interaction
- Interview
- job interviews
- keyframe extraction
- language
- Language Production
- language style
- late-life depression
- Lausanne Data Collection Campaign
- LIWC
- location-based social networks
- loneliness
- Long-tail data distribution
- machine learning
- Maya civilization
- Maya culture
- Maya glyph
- maya glyphs
- meal
- meetings
- Mental Lexicon
- mHealth
- Mobile And Wearable Sensing
- Mobile Crowdsensing
- mobile crowdsourcing
- mobile mining
- mobile phone data
- mobile sensing
- mobile survey
- mobility models
- model adaptation
- mood
- motion capture
- multimodal cues
- Multimodal interaction
- Multimodal Sensing
- narcissism
- Natural conversation
- natural language porcessing
- neural networks
- Nightlife
- nonverbal be- havior
- Nonverbal behavior
- online video
- passive sensing
- perceived dominance
- performance
- Personality
- personality impressions
- Personality traits inference
- personalized service
- pervasive computing
- Physical Activity
- Picture annotation
- place extraction
- place labeling
- place visit
- prediction
- Prompt engineering
- psychological correlates
- Recruitment method
- reliability analysis
- Remote meetings
- Response burden
- review
- routines
- self-training
- sensing
- Sentiment Analysis
- shape classification
- Shape descriptor
- shape recognition
- Shape retrieval
- shot boundary detection
- sketch
- small group interactions
- Smartphone application
- smartphone data
- smartphone sensing
- Smartphones
- Snack and Meal
- social computing
- social context
- social media
- social networks
- social psychology
- Social video
- sparse autoencoder
- sparse coding
- spatial data
- spectral shot clustering
- Speech activity
- Standard drink
- stress
- support
- survey
- Task-competence
- telemonitoring
- Text classification
- thin slices
- transfer learning
- Ubiquitous Computing
- unsupervised methods
- urban awareness
- Urban Computing
- Urban Crowdsourcing
- usability
- user aggregated behavior
- user behavior
- user modeling
- user satisfaction
- user study
- verbal analysis
- Verbal content
- video
- Video annotation
- video resumes
- video structuring
- video-sharing
- Visual similarity
- vlog
- vlogging
- vlogs
- wearable sensing
- well being
- well-being
- young adults
- Youth
- youtube
- YouTubeYouTube
Publications of Daniel Gatica-Perez sorted by first author
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Daily Routine Classification from Mobile Phone Data, and , in: Workshop on Machine Learning and Multimodal Interaction (MLMI08), 2008 |
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Discovering Human Routines from Cell Phone Data with Topic Models, and , Idiap-RR-32-2008 |
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Discovering Human Routines from Cell Phone Data with Topic Models, and , in: IEEE International Symposium on Wearable Computers (ISWC), 2008 |
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What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data, and , in: ACM International Conference on Multimedia (ACMMM), 2008 |
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What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data, and , Idiap-RR-49-2008 |
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Daily Routine Classification from Mobile Phone Data, and , Idiap-RR-62-2007 |
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Stressful First Impressions in Job Interviews, , , , and , in: Proceedings of the 18th ACM International Conference on Multimodal Interaction, pages 325-332, 2016 |
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Urban Crowdsourcing Platforms across the World: A Systematic Review, and , in: ACM Digital Government: Research and Practice, 2023 |
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Nonverbal Social Sensing in Action: Unobtrusive Recording and Extracting of Nonverbal Behavior in Social Interactions Illustrated with a Research Example, , , and , in: Journal of Nonverbal Behavior, 38(2):231-245, 2014 |
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Emergent Power Hierarchies and Group Performance, , , and , in: International Journal of Psychology, 50(5):392–396, 2015 |
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Explore, Engage, Empower: Methodological Insights into a Transformative Mixed Methods Study Tackling the Covid-19 Lockdown., , , , , , , , , and , in: Humanities and Social Sciences Communications, 2022 |
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A Semi-Automated System for Accurate Gaze Coding in Natural Dyadic Interactions, , , and , in: 15th ACM International Conference on Multimodal Interaction, Sydney, Australia, ACM, 2013 |
[DOI] |
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Tagging and Retrieving Images with Co-Occurrence Models: from Corel to Flickr, and , Idiap-RR-21-2009 |
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Signal Processing in the Workplace, , in: IEEE Signal Processing Magazine, 32(1):121-125, 2015 |
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Modeling interest in face-to-face conversations from multimodal nonverbal behavior, , in: In J.-P. Thiran, H. Bourlard, and F. Marques, (Eds.,',','), Multimodal Signal Processing, Academic Press, Academic Press, 2009 |
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Automatic nonverbal analysis of social interaction in small groups: A review, , in: Image and Vision Computing, Special Issue on Human Behavior, 27(12), 2009 |
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Analyzing Group Interactions in Conversations: a Review, , in: IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2006 |
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Analyzing Group Interactions in Conversations: a Review, , Idiap-RR-63-2006 |
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Analysis of Small Groups, , and , in: Social Signal Processing, pages 349-367, Cambridge University Press. Editors J. Burgoon, N. Magnenat-Thalmann, M. Pantic, and A. Vinciarelli, 2017 |
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Discovering Eating Routines in Context with a Smartphone App, , , and , in: Ubicomp/Iswc'19 Adjunct: Proceedings Of The 2019 Acm International Joint Conference On Pervasive And Ubiquitous Computing And Proceedings Of The 2019 Acm International Symposium On Wearable Computers, London, pages 422-429, 2019 |
[DOI] |
MAAYA: Multimedia Methods to Support Maya Epigraphic Analysis, , , , , , and , in: Arqueologia computacional: Nuevos enfoques para el analisis y la difusion del patrimonio cultural, INAH-RedTDPC, 2017 |
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A Mixed-State I-Particle Filter for Multi-Camera Speaker Tracking, , , and , in: IEEE Int. Conf. on Computer Vision Workshop on Multimedia Technologies for E-Learning and Collaboration (ICCV-WOMTEC), 2003 |
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A Mixed-State I-Particle Filter for Multi-Camera Speaker Tracking, , , and , Idiap-RR-25-2003 |
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Audio-Visual Speaker Tracking with Importance Particle Filters, , , , and , in: IEEE International Conference on Image Processing (ICIP), 2003 |
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Audio-Visual Speaker Tracking with Importance Particle Filters, , , , and , Idiap-RR-37-2002 |
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Audio-visual probabilistic tracking of multiple speakers in meetings, , , and , in: IEEE Trans. on Audio, Speech, and Language Processing, accepted for publication., 2006 |
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Multimodal Multispeaker Probabilistic Tracking in Meetings, , , and , in: Proc. Int. Conf. on Multimodal Interfaces (ICMI), 2005 |
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Audio-visual probabilistic tracking of multiple speakers in meetings, , , and , Idiap-RR-27-2005 |
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Multimodal Multispeaker Probabilistic Tracking in Meetings, , , and , Idiap-RR-66-2004 |
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Finding Structure in Home Videos by Probabilistic Hierarchical Clustering, , and , in: IEEE Transactions on Circuits and Systems for Video Technology, 13(6), 2003 |
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Finding Structure in Consumer Videos by Probabilistic Hierarchical Clustering, , and , Idiap-RR-22-2002 |
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On automatic annotation of meeting databases, , , , and , in: IEEE International Conference on Image Processing (ICIP), 2003 |
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On automatic annotation of meeting databases, , , , and , Idiap-RR-06-2003 |
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Detecting Group Interest-level in Meetings, , , and , in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2005 |
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Detecting Group Interest-level in Meetings, , , and , Idiap-RR-51-2004 |
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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 |
Tracking People in Meetings with Particles, , , , and , in: Proc. Int. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS,',','), invited paper, 2005 |
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Tracking People in Meetings with Particles, , , , and , Idiap-RR-71-2004 |
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The MAAYA Project: Multimedia Analysis and Access for Documentation and Decipherment of Maya Epigraphy, , , , , , and , in: Proc. Digital Humanities Conference, Lausanne, 2014 |
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New world, New Worlds: Visual Analysis of Pre-Columbian Pictorial Collections., , , and , in: Proceedings of the International Workshop on Multimedia for Cultural Heritage, Modena, Italy., Springer CCIS series book, 2011 |
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What TripAdvisor Can't Tell: Crowdsourcing Urban Impressions for Whole Cities, , and , in: Digital Polis, L'Oeil d'Or (translated to French.), 2018 |
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Vlogging Over Time: Longitudinal Impressions and Behavior in YouTube, , , , and , in: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, Cairo, EGYPT, pages 37-46, 2018 |
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Social Multimedia, Diversity, and Global South Cities: A Double Blind Side, , , and , in: Proc. ACM Workshop on Fairness, Accountability, and Transparency in Multimedia (FAT/MM), Nice, 2019 |
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Object Localization in Metric Spaces for Video Linking, and , Idiap-RR-09-2003 |
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Linking Objects in Videos by Importance Sampling, and , in: IEEE International Conference on Multimedia and Expo, 2002 |
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