44 citations · 89 across the 20 of their papers we have counts for
4 papers · 1 filter
Equivariant and Invariant Grounding for Video Question Answering
Yicong Li, Xiang Wang, Junbin Xiao +1
Video Question Answering (VideoQA) is the task of answering the natural language questions about a video. Producing an answer requires understanding the interplay across visual sce…
Invariant Grounding for Video Question Answering
Yicong Li, Xiang Wang, Junbin Xiao +2
Video Question Answering (VideoQA) is the task of answering questions about a video. At its core is understanding the alignments between visual scenes in video and linguistic seman…
Video Question Answering: Datasets, Algorithms and Challenges
Yaoyao Zhong, Junbin Xiao, Wei Ji +3
Video Question Answering (VideoQA) aims to answer natural language questions according to the given videos. It has earned increasing attention with recent research trends in joint…
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang, Hongxu Chen, Xiangguo Sun +2
Graph contrastive learning is the state-of-the-art unsupervised graph representation learning framework and has shown comparable performance with supervised approaches. However, ev…