2022
DOI: 10.1007/978-3-031-06430-2_20
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Egocentric Human-Object Interaction Detection Exploiting Synthetic Data

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Cited by 6 publications
(3 citation statements)
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“…In the pursuit of synthetic data generation and annotation, various studies have directed their attention towards creating photorealistic datasets and tackling the domain-shift problem that emerges when transitioning between real and synthetic domains. Leonardi et al (2023) presented a comprehensive pipeline and framework for automatically generating egocentric hand-object interactions, including annotations such as depth maps, semantic segmentation masks, bounding boxes for objects and hands, as well as attributes and their respective 3D distances. In the work of Ye et al (2023b), diffusion models have been used to generate complex hand-object interactions, allowing reasoning about where to interact and how to interact.…”
Section: D Hand-object Interactionmentioning
confidence: 99%
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“…In the pursuit of synthetic data generation and annotation, various studies have directed their attention towards creating photorealistic datasets and tackling the domain-shift problem that emerges when transitioning between real and synthetic domains. Leonardi et al (2023) presented a comprehensive pipeline and framework for automatically generating egocentric hand-object interactions, including annotations such as depth maps, semantic segmentation masks, bounding boxes for objects and hands, as well as attributes and their respective 3D distances. In the work of Ye et al (2023b), diffusion models have been used to generate complex hand-object interactions, allowing reasoning about where to interact and how to interact.…”
Section: D Hand-object Interactionmentioning
confidence: 99%
“…For hand-object interaction, specific sets of interactions in constrained environments, such as kitchens (Darkhalil et al, 2022) and industrial workplaces (Ragusa et al, 2023b;Leonardi et al, 2022), are starting to be analysed. Despite a few initial efforts to develop approaches capable of understanding generic interactions (e.g.…”
Section: D Hand-object Interactionmentioning
confidence: 99%
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