4 papers
The Embodiment Gap in Robot Foundation Models
Yukiyasu Domae, Keisuke Shirai, Hanbit Oh +7
Robot foundation models (RFMs), including vision-language-action (VLA) policies, are often discussed through a scaling view: more data, larger models, and broader benchmarks should…
HanDyVQA: A Video QA Benchmark for Fine-Grained Hand-Object Interaction Dynamics
Masatoshi Tateno, Gido Kato, Hirokatsu Kataoka +2
Hand-object interaction (HOI) inherently involves dynamics where human manipulations produce distinct spatio-temporal effects on objects. However, existing semantic HOI benchmarks…
Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
Takehiko Ohkawa, Takuma Yagi, Taichi Nishimura +4
We propose a novel benchmark for cross-view knowledge transfer of dense video captioning, adapting models from web instructional videos with exocentric views to an egocentric view.…
Learning Multiple Object States from Actions via Large Language Models
Masatoshi Tateno, Takuma Yagi, Ryosuke Furuta +1
Recognizing the states of objects in a video is crucial in understanding the scene beyond actions and objects. For instance, an egg can be raw, cracked, and whisked while cooking a…