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Fudan University, Shanghai Innovation Institute 鈭桬qual Contribution 鈥roject Lead
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Gradual bridging with embodied trajectory-coupled data transforms VLMs into robust robot control policies, overcoming significant transfer challenges.
Current translation metrics miss the mark on capturing the cultural nuances and emotional resonance crucial for effective social media UGC translation.
Train robots to grasp blindly with tactile feedback at 800+ FPS using this new, fast, and accurate soft-body simulator.
Current image restoration models still fail to strike the right balance between noise reduction, detail fidelity, and accurate color in real-world, low-light portrait scenarios, highlighting a critical gap this challenge aims to close.
