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Leveraging Large Language Models for Multimodal Search
Multimodal search has become increasingly important in providing users with a natural and effective way to ex-press their search intentions.
ProcSim: Proxy-based Confidence for Robust Similarity Learning
Deep Metric Learning (DML) methods aim at learning an embedding space in which distances are closely related to the inherent semantic similarity of the inputs.
Benchmarking the Sim-to-Real Gap in Cloth Manipulation
The dataset is collected by performing a dynamic as well as a quasi-static cloth manipulation task involving contact with a rigid table.
Deformable Surface Reconstruction via Riemannian Metric Preservation
Estimating the pose of an object from a monocular image is an inverse problem fundamental in computer vision.
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