4 citations · 4 across the 3 of their papers we have counts for
3 papers
REVEAL: Relation-based Video Representation Learning for Video-Question-Answering
Sofian Chaybouti, Walid Bousselham, Moritz Wolter +1
Video-Question-Answering (VideoQA) comprises the capturing of complex visual relation changes over time, remaining a challenge even for advanced Video Language Models (VLM), i.a.,…
VideoGEM: Training-free Action Grounding in Videos
Felix Vogel, Walid Bousselham, Anna Kukleva +2
Vision-language foundation models have shown impressive capabilities across various zero-shot tasks, including training-free localization and grounding, primarily focusing on local…
Learning Situation Hyper-Graphs for Video Question Answering
Aisha Urooj Khan, Hilde Kuehne, Bo Wu +5
Answering questions about complex situations in videos requires not only capturing the presence of actors, objects, and their relations but also the evolution of these relationship…