bcmi/Causal-VidQA
[CVPR 2022] A large-scale public benchmark dataset for video question-answering, especially about evidence and commonsense reasoning. The code used in our paper "From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-Answering", CVPR2022.
PythonMIT
Stargazers
- ahmadmobeenPyler
- binqibangSCU, BUPT
- bo-zhang-cs
- CarolineGao
- chenxy99The University of Minnesota Twin Cities
- Chuanqi-ZangChina
- Fly2flies
- fly51flyPRIS
- freewings463
- ggsonic
- HangFang6University of Science and Technology of China
- HanqingWangAIBeijing Institute of Technology
- HowToNameMeChina
- infriendNanjing, China
- Jiangtong-LiTongji University
- jun0wananZheJiang university
- LannCXTianjin University
- LemonQC
- liujiahengAlibaba Group
- ljt19981114
- maoyunyaoUSTC
- MCC-WHUSTC
- MeinhardMarkHuazhong University of Science and Technology
- psycoder21@pylerAI
- R00Kie-LiuShanghai Jiao Tong University
- raijinspecialThe Milky Way
- TangentOneLas Vagas
- TheodoreGalanosAustrian Institute of Technology
- ustcnewly
- vateyeUniversity of California, San Diego
- wonzin
- xiaobei-qianNational Taiwan University
- yanan1989KDDI Research
- zfchenUniqueThe University of Hong Kong
- zhanglqxyzShanghai Jiao Tong University
- zhongyyBUPT