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The Hong Kong University of Science and Technology (Guangzhou)
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MLLMs can now achieve over 8% improvement in spatial reasoning for egocentric scenes by leveraging a novel Ego-element Graph for enhanced perception.
PatternGSL achieves accurate garment reconstruction from images without templates, revolutionizing how we think about garment design and simulation.
Current MLLMs are surprisingly bad at understanding human intent in egocentric videos at a step-by-step level, achieving only 33% accuracy on a new benchmark designed to prevent future-frame leakage.
