Post by Aman Chadha

Announcing our new #AI paper on causal reasoning that builds a common-sense knowledge base and improves typical AI tasks such as video captioning and question-answering. Our proposed framework can be applied to virtually any kind of video processing task! We’re #1 on the video question-answering and #2 on the dense video captioning leaderboard! Check it out! https://lnkd.in/gQq3aqV Thanks to the CS231n professors and TAs for their help during the project at Stanford :) Abstract: https://lnkd.in/gPiDtZ4 PDF: https://lnkd.in/gQq3aqV Leaderboard: https://lnkd.in/gnydUH3 Code: https://lnkd.in/g4miWCm Accepted for publication in the 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). This work was done as a personal course project at Stanford (and thus does not have any bearing with my other affiliations). If you're looking to experiment in this domain, feel free to #reachout. #deeplearning #deeplearningai #artificialintelligence #neuralnetworks #computervision #convolutionalneuralnetworks #causality #videoanalysis #imageprocessing #convolutionalneuralnetwork #pytorch #aiml #aiforgood #machinelearning #machinelearningalgorithms #machinevision #stanforduniversity #ml