44 citations · 89 across the 20 of their papers we have counts for
4 papers · 1 filter
Can I Trust Your Answer? Visually Grounded Video Question Answering
Junbin Xiao, Angela Yao, Yicong Li +1
We study visually grounded VideoQA in response to the emerging trends of utilizing pretraining techniques for video-language understanding. Specifically, by forcing vision-language…
Redundancy-aware Transformer for Video Question Answering
Yicong Li, Xun Yang, An Zhang +3
This paper identifies two kinds of redundancy in the current VideoQA paradigm. Specifically, the current video encoders tend to holistically embed all video clues at different gran…
Discovering Spatio-Temporal Rationales for Video Question Answering
Yicong Li, Junbin Xiao, Chun Feng +2
This paper strives to solve complex video question answering (VideoQA) which features long video containing multiple objects and events at different time. To tackle the challenge,…
Contrastive Video Question Answering via Video Graph Transformer
Junbin Xiao, Pan Zhou, Angela Yao +4
We propose to perform video question answering (VideoQA) in a Contrastive manner via a Video Graph Transformer model (CoVGT). CoVGT's uniqueness and superiority are three-fold: 1)…