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University, Kyung Hee University
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Detecting 3D defects does not require memorizing every valid shape: framing anomalies as local relational inconsistencies unlocks robust, category-agnostic point cloud inspection across unseen domains.
Class confusion in few-shot object detection can be drastically reduced, leading to a +10.1 nAP improvement over previous methods.
Generate more realistic and nuanced human movements from text by explicitly modeling individual body parts, overcoming the limitations of existing holistic approaches.