Causal Chaos Paper
Thu Aug 01 2024
PythonData AnnotationModel BenchmarkingPytorch
Project Brief
Helped to co-author a paper under Dr Paritosh Parmar in IHPC SCC (Social and Cognitive Computing) regarding a new and improved dataset for comprehensive causal action question answering over longer causal chains grounded in dynamic visual scenes.
Accomplishments
- Helped to annotate the dataset and discuss the format of the dataset
- Benchmarked different video question answering (VQA) models against our new dataset
- Evaluated and researched on different reasoning types for the dataset creation
- Accepted as a poster paper (23.29% acceptance) in NeurIps 2024
Technologies and Skills Used:
- Python
- Pytorch
- Dataset Annotation
Gallery
Featured in A*STAR CFAR(Centre for Frontier AI Research) news