WildQA website code
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Updated
May 10, 2023 - HTML
WildQA website code
Given a video, we are able to automaticaly answer questions about what is happening in the video.
Part of my work for my Bachelor's Thesis Project on Counterfactual Reasoning for Videos.
Code for ACL SustaiNLP 2023 paper "Is a Video worth n × n Images? A Highly Efficient Approach to Transformer-based Video Question Answering"
[ICCV 2021] On the hidden treasure of dialog in video question answering
Multi-Scale Progressive Attention Network for Video Question Answering
Code for ACL SRW 2023 paepr "Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering"
A simple attention deep learning model to answer questions about a given video with the most relevant video intervals as answers.
A simple attention deep learning model to answer questions about a given video with the most relevant video intervals as answers.
LifeQA website code
[NAACL 2024] Official Implementation of paper "Self-Adaptive Sampling for Efficient Video Question Answering on Image--Text Models"
DramaQA Starter Code (2021)
Data and PyTorch code for the LifeQA LREC 2020 paper.
Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models (ICCV 2023)
Contrastive Video Question Answering via Video Graph Transformer (IEEE T-PAMI'23)
PyTorch code for ROLL, a knowledge-based video story question answering model.
FreeVA: Offline MLLM as Training-Free Video Assistant
This repo contains code for Invariant Grounding for Video Question Answering
Can I Trust Your Answer? Visually Grounded Video Question Answering (CVPR'24, Highlight)
[ICCV2023] Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer
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