Zongqing Lu

MEgoHand is the starting point for generating high-quality motion sequences of hand-object interactions, conditioned on egocentric RGB images, textual instructions, and given initial MANO hand parameters.

QOM uses quantized autoencoders to model opponent types, updates beliefs in real-time via Bayesian inference, and enables efficient belief-aware planning.