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Causal Chaos Paper

Thu Aug 01 2024 PythonData AnnotationModel BenchmarkingPytorch
causalchaos

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

Causal chaos feature Featured in A*STAR CFAR(Centre for Frontier AI Research) news

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