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Delong Chen (陈德龙)

@Delong0_0 • 1,478 subscribers

PhD student @HKUST. Founding team member at AMI Labs @amilabs. Working on vision-langauge JEPA and vision-language world modeling.

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We release Action100M, the hero behind VL-JEPA. It is a large dataset with O(100 million) dense action annotations on HowTo100M procedural videos. We hope it serves as a robust data foundation to advance physical world modeling research.
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We release Action100M, the hero behind VL-JEPA. It is a large dataset with O(100 million) dense action annotations on HowTo100M procedural videos. We hope it serves as a robust data foundation to advance physical world modeling research.

Delong Chen (陈德龙)

103,384 次观看 • 4 个月前

Our latest paper “Reward Prediction with Factorized World States” investigates whether well-defined world state representations alone can enable accurate reward prediction across domains. Read the article below for more details ⬇️ - Paper: - Website: - Code: - Data:
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Our latest paper “Reward Prediction with Factorized World States” investigates whether well-defined world state representations alone can enable accurate reward prediction across domains. Read the article below for more details ⬇️ - Paper: - Website: - Code: - Data:

Delong Chen (陈德龙)

10,914 次观看 • 3 个月前

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