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University of Science and Technology of China, Reconstruct Complete
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Achieve state-of-the-art category-level object pose estimation by unifying shape completion and pose reasoning, without relying on category-level shape priors.
Forget static graphs: TimeMM dynamically reweights user-item interactions based on recency and modality, adapting to evolving user preferences in multimodal recommendations.