Repository for EMOTIC (EMOTIon recognition in Context)

(Official Website: EMOTIC)

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

[PAMI-2019 (latest Version)]

• Dataset download link: PAMI_19 Dataset

• Baseline CNN model : PAMI_19 MODEL, where you will also find a pseudo code for testing your images.

• Annotations download link: PAMI_19 Annotations

[CVPR-2017 Version]

• Dataset download link: CVPR_17 Dataset

• Baseline CNN model: CVPR_17 MODEL, where you will also find a pseudo code for testing your images.

• Annotations download link: CVPR_17 Annotations

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 emotic_cnn_model_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