Search Results for author:
Found 4 papers, 3 papers with code
Interactive Acquisition of Fine-grained Visual Concepts by Exploiting Semantics of Generic Characterizations in Discourse
Interactive Task Learning (ITL) concerns learning about unforeseen domain concepts via natural interactions with human users.
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Diffusion models have become a popular approach for image generation and reconstruction due to their numerous advantages.
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity
Furthermore, in order to compute the motion similarity from these datasets, we propose a deep learning model that produces motion embeddings suitable for measuring the similarity between different motions of each human body part.
HintPose
Most of the top-down pose estimation models assume that there exists only one person in a bounding box.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
