2 papers
cs.AI2024
Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments
Takanori Ugai, Kensho Hara, Shusaku Egami +1
We used a 3D simulator to create artificial video data with standardized annotations, aiming to aid in the development of Embodied AI. Our question answering (QA) dataset measures…
cs.AI2019
Report on the First Knowledge Graph Reasoning Challenge 2018 -- Toward the eXplainable AI System
Takahiro Kawamura, Shusaku Egami, Koutarou Tamura +11
A new challenge for knowledge graph reasoning started in 2018. Deep learning has promoted the application of artificial intelligence (AI) techniques to a wide variety of social pro…