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 title
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Using Self-Context for Multimodal Detection of Head Nods in Face-to-Face Interactions, , and , in: Proceedings of the 14th ACM International Conference on Multimodal Interaction, 2012 |
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Validity of pervasive computing based continuous physical activity assessment in community-dwelling old and oldest-old, , , , , , , , , , , and , in: Scientific Reports, 9(9662), 2019 |
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Venues in Social Media: Examining Ambiance Perception Through Scene Semantics, , and , in: Proceedings of the 25th ACM International Conference on Multimedia, ACM, 2017, 2017 |
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Video Shot Clustering using Spectral Methods, , and , in: 3rd Workshop on Content-Based Multimedia Indexing (CBMI), 2003 |
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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 |
Vlogcast Yourself: Nonverbal Behavior and Attention in Social Media, and , in: Proceedings International Conference on Multimodal Interfaces (ICMI-MLMI), 2010 |
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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 |
[DOI] |
VlogSense: Conversational Behavior and Social Attention in YouTube, and , in: Transactions on Multimedia Computing, Communications and Applications, 2011 |
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Voices of Vlogging, and , in: Proceedings of AAAI International Conference on Weblogs and Social Media, Washington DC, 2010 |
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W
Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior, and , in: Proceedings of the 17th ACM International Conference on Multimedia, ACM, 2009 |
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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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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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What Your Face Vlogs About: Expressions of Emotion and Big-Five Traits Impressions in YouTube, , , and , in: IEEE Transactions Affective Computing, 2014 |
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When Differential Privacy Meets Graph Neural Networks, and , Idiap-RR-06-2023 |
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Where and What: Using Smartphones to Predict Next Locations and Applications in Daily Life, and , in: Pervasive and Mobile Computing, 2013 |
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Who Sees What? Examining Urban Impressions in Global South Cities, , , and , in: Human Perception of Visual Information: Psychological and Computational Perspectives, Springer, 2022 |
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Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones, , and , in: International Symposium on Wearable Computing, pages 8, 2011 |
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Wordless Sounds: Robust Speaker Diarization using Privacy-Preserving Audio Representations, , and , Idiap-RR-28-2012 |
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Wordless Sounds: Robust Speaker Diarization using Privacy-Preserving Audio Representations, , and , in: IEEE Transactions on Audio, Speech, and Language Processing, 2012 |
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Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes, , and , in: Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2018 |
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YOU ARE FIRED! NONVERBAL ROLE ANALYSIS IN COMPETITIVE MEETINGS, , and , in: Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP,',','), Taiwan., 2009 |
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You Are Known by How You Vlog: Personality Impressions and Nonverbal Behavior in YouTube, , and , in: Proceedings of AAAI International Conference on Weblogs and Social Media, Barcelona, 2011 |
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Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers, , and , in: EAI Pervasive Health, 2022 |
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Youth nightlife at home: towards a feminist conceptualisation of home, , , , , , and , in: Children's Geographies, 2020 |
[DOI] [URL] |
Z
Zurich Like New: Analyzing Open Urban Multimodal Data, , and , in: Proceedings of the 1st International Workshop on Multimedia Computing for Urban Data, 2021 |
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