Egostream introduces a diagnostic benchmark that expands 2,250 questions into 8,528 recall-conditioned evaluations to measure streaming episodic memory performance across detail, spatial, temporal, event, social, causal, and prospective dimensions in egocentric vision.
Hd-epic: A highly-detailed egocentric video dataset
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 4verdicts
UNVERDICTED 4roles
dataset 2representative citing papers
EgoEverything is a new benchmark for long-context egocentric video understanding that uses human gaze-based attention signals to generate questions reflecting natural behavior.
The paper introduces World Action Models as a new paradigm unifying predictive world modeling with action generation in embodied foundation models and provides a taxonomy of existing approaches.
A survey that clarifies boundaries and organizes World Action Models by generation requirements and predictive substrates, identifying a trend toward generating less of the future.
citing papers explorer
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EGOSTREAM: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric Vision
Egostream introduces a diagnostic benchmark that expands 2,250 questions into 8,528 recall-conditioned evaluations to measure streaming episodic memory performance across detail, spatial, temporal, event, social, causal, and prospective dimensions in egocentric vision.
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EgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment
EgoEverything is a new benchmark for long-context egocentric video understanding that uses human gaze-based attention signals to generate questions reflecting natural behavior.
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World Action Models: The Next Frontier in Embodied AI
The paper introduces World Action Models as a new paradigm unifying predictive world modeling with action generation in embodied foundation models and provides a taxonomy of existing approaches.
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World Action Models: A Survey
A survey that clarifies boundaries and organizes World Action Models by generation requirements and predictive substrates, identifying a trend toward generating less of the future.