EmotiW 2018
Author:
Affiliation:
1. Indian Institute of Technology Ropar, Roopnagar, India
2. University of Canberra, Bruce, Australia
3. Australian National University, Canberra, Australia
Funder
Nvidia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3242969.3264993
Reference22 articles.
1. OpenFace: An open source facial behavior analysis toolkit
2. An Ensemble Model Using Face and Body Tracking for Engagement Detection
3. From individual to group-level emotion recognition: EmotiW 5.0
4. Collecting Large, Richly Annotated Facial-Expression Databases from Movies
5. The more the merrier: Analysing the affect of a group of people in images
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1. Fusing facial and speech cues for enhanced multimodal emotion recognition;International Journal of Information Technology;2024-01-24
2. Video-Based Emotion Estimation Using Deep Neural Networks: A Comparative Study;Image Analysis and Processing - ICIAP 2023 Workshops;2024
3. A recent survey on perceived group sentiment analysis;Journal of Visual Communication and Image Representation;2023-12
4. EmotiW 2023: Emotion Recognition in the Wild Challenge;INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION;2023-10-09
5. Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review;Proceedings of the IEEE;2023-10
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