Niels Lobo — accepted AI-conference papers

2023

Learning Situation Hyper-Graphs for Video Question Answering

Aisha Urooj, Hilde Kuehne, Bo Wu, Kim Chheu, Walid Bousselham, Chuang Gan +2

CVPR 2023poster

Answering questions about complex situations in videos requires not only capturing of the presence of actors, objects, and their relations, but also the evolution of these relationships over time. A situation hyper-graph is a representation that describes situations as scene sub-graphs for video fra…

Cited by 21 Source ↗PDF ↗code ↗Scholar ↗

2021

Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules

Aisha Urooj, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels Lobo, Mubarak Shah

CVPR 2021poster

The problem of grounding VQA tasks has seen an increased attention in the research community recently, with most attempts usually focusing on solving this task by using pretrained object detectors. However, pre-trained object detectors require bounding box annotations for detecting relevant objects…

Cited by 46 PDF ↗code ↗Scholar ↗