Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: ieee.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.9%) to scientific vocabulary
Keywords
Repository
Code repo for the EMOTIC dataset
Basic Info
- Host: GitHub
- Owner: rkosti
- License: other
- Language: Lua
- Default Branch: master
- Homepage: https://github.com/rkosti/emotic
- Size: 40.6 MB
Statistics
- Stars: 124
- Watchers: 7
- Forks: 23
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Repository for EMOTIC (EMOTIon recognition in Context)
(Official Website: EMOTIC)
ACCESS to EMOTIC
Note: EMOTIC dataset can be used only for non-commercial research and education purposes.
Please, fill the following form to request access to the dataset and the corresponding annotations.
Watch a ~3 minute video (just me speaking, no presentations or anything) summarizing my thesis on this topic.
- YouTube Link: Read Thesis in 4-Minutes
BENCHMARKS
Benchmarks for Emotion Recognition in Context
Other related files
Demo for computing the Average Precision (AP) demoComputeAP
Single Image Inference for PAMI version (input image and the corresponding bounding box info required): Single Image Inference
For Model architecture (same for cvpr and pami publications), you can refer emoticcnnmodel_structure.txt
PyTorch implementation of EMOTIC EMOTIC PyTorch. Thanks to Abhishek Tandon
Cite us using our following publications
PAMI'19 paper: Context Based Emotion Recognition using EMOTIC Dataset
CVPR'17 paper: Emotion Recognition in Context
CVPRW'17 paper: EMOTIC: Emotions in Context Dataset
PhD Manuscript: Visual Scene Context in Emotion Perception [much easier to read with broader set of experiments]
Slides/Overview of the Defense Talk
Owner
- Name: Ronak Kosti
- Login: rkosti
- Kind: user
- Location: Berlin, Germany
- Company: 404.xyz
- Repositories: 2
- Profile: https://github.com/rkosti
Multimodal Gen AI, Computational Humanities, Affective Computing
GitHub Events
Total
- Issues event: 2
- Watch event: 14
- Push event: 1
Last Year
- Issues event: 2
- Watch event: 14
- Push event: 1