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ShanghaiTech University, Shanghai, China
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Diffusion models can now generate more realistic and semantically appropriate hand grasps by explicitly modeling affordances and interaction semantics, outperforming prior methods on grasp quality, semantic accuracy, and diversity.
Ditch the ECU-by-ECU grind: this ViL framework lets you test full autonomous driving stacks on a central car server by syncing a real vehicle with its digital twin.
DuaLip-GPU achieves a 10x speedup over CPU-based DuaLip for large-scale linear programs by redesigning the solver architecture for GPU execution and introducing novel GPU execution techniques tailored to sparse matching constraints.