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Tianjin University
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Achieving 74.419% accuracy, this ensemble approach shows that self-supervised learning can dramatically enhance micro-gesture recognition performance.
EgoPriMo enables humanoid robots to generate and forecast complex motions interactively using just egocentric observations and high-level language prompts.
ActProbe predicts robot policy failures before they become visually apparent, enhancing both detection accuracy and operational efficiency in real-world tasks.
Current AI agents struggle to reliably rediscover scientific knowledge, with top performers averaging only 21.5 out of a possible score, revealing critical gaps in their research capabilities.
