videoqa

[EMNLP 2018] PyTorch code for TVQA: Localized, Compositional Video Question Answering

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

[ICCV 2021 Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

An VideoQA dataset based on the videos from ActivityNet

NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)

Video as Conditional Graph Hierarchy for Multi-Granular Question Answering (AAAI'22, Oral)

Data and PyTorch code for the LifeQA LREC 2020 paper.

NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)

LifeQA website code