EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding

Zhu, Chenchen; Xiao, Fanyi; Alvarado, Andrés; Babaei, Yasmine; Hu, Jiabo; El-Mohri, Hichem; Culatana, Sean Chang; Sumbaly, Roshan; Yan, Zhicheng

doi:10.1109/iccv51070.2023.01840

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Cited by 5 publications

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VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding

Fan,

Ma,

et al. 2024

Lecture Notes in Computer Science

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VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding

Fan,

Ma,

et al. 2024

Lecture Notes in Computer Science

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ActionVOS: Actions as Prompts for Video Object Segmentation

Ouyang,

Liu,

Huang

et al. 2024

Lecture Notes in Computer Science

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An Outlook into the Future of Egocentric Vision

Plizzari,

Goletto,

Furnari

et al. 2024

Int J Comput Vis

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What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing, with outward facing cameras and digital overlays, is expected to be integrated in our every day lives. To understand this gap, the article starts by envisaging the future through character-based stories, showcasing through examples the limitations of current technology. We then provide a mapping between this future and previously defined research tasks. For each task, we survey its seminal works, current state-of-the-art methodologies and available datasets, then reflect on shortcomings that limit its applicability to future research. Note that this survey focuses on software models for egocentric vision, independent of any specific hardware. The paper concludes with recommendations for areas of immediate explorations so as to unlock our path to the future always-on, personalised and life-enhancing egocentric vision.

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EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding

Cited by 5 publications

References 40 publications

VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding

VideoAgent: A Memory-Augmented Multimodal Agent for Video Understanding

ActionVOS: Actions as Prompts for Video Object Segmentation

An Outlook into the Future of Egocentric Vision

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