2 citations · 2 across the 11 of their papers we have counts for
3 papers · 1 filter
VideoChain: A Transformer-Based Framework for Multi-hop Video Question Generation
Arpan Phukan, Anupam Pandey, Deepjyoti Bodo +1
Multi-hop Question Generation (QG) effectively evaluates reasoning but remains confined to text; Video Question Generation (VideoQG) is limited to zero-hop questions over single se…
The Quest for Visual Understanding: A Journey Through the Evolution of Visual Question Answering
Anupam Pandey, Deepjyoti Bodo, Arpan Phukan +1
Visual Question Answering (VQA) is an interdisciplinary field that bridges the gap between computer vision (CV) and natural language processing(NLP), enabling Artificial Intelligen…
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
Arpan Phukan, Manish Gupta, Asif Ekbal
Previous studies on question generation from videos have mostly focused on generating questions about common objects and attributes and hence are not entity-centric. In this work,…