Dataset Groups Activity Stream Learning to Predict Situation Hyper-Graphs for Video Question Answering The SHG-VQA model predicts a situation hyper-graph structure composed of existing actions and relations in the input video. BibTex: @dataset{Aisha_Urooj_Khan_and_Hilde_Kuehne_and_Kevin_Duarte_and_Chuang_Gan_and_Niels_Lobo_and_Mubarak_Shah_2025, abstract = {The SHG-VQA model predicts a situation hyper-graph structure composed of existing actions and relations in the input video.}, author = {Aisha Urooj Khan and Hilde Kuehne and Kevin Duarte and Chuang Gan and Niels Lobo and Mubarak Shah}, doi = {10.57702/3hx0bybj}, institution = {No Organization}, keyword = {'action recognition', 'situation hyper-graphs', 'video question answering'}, month = {jan}, publisher = {TIB}, title = {Learning to Predict Situation Hyper-Graphs for Video Question Answering}, url = {https://service.tib.eu/ldmservice/dataset/learning-to-predict-situation-hyper-graphs-for-video-question-answering}, year = {2025} }
