What You Ask is What You Ground: Bridging Question Intent to Temporal Evidence for Grounded VideoQA
GroundFormer is proposed, which conditions video features on question intent before localization via learnable communication tokens that mediate directed visuo-lingual interaction and achieves state-of-the-art grounded VideoQA performance on NExT-GQA and STAR, substantially improving question-discriminative temporal gr...