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Found 6 papers, 0 papers with code
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
To build a cross-modal latent space between 3D human motion and language, acquiring large-scale and high-quality human motion data is crucial.
Role-Aware Interaction Generation from Textual Description
We claim that certain interactions, which we call asymmetric interactions, involve a relationship between an actor and a receiver, whose motions significantly differ depending on the assigned role.
A Closer Look at Rotation-Invariant Deep Point Cloud Analysis
Recent progress in rotation-invariant point cloud analysis is mainly driven by converting point clouds into their respective canonical poses, and principal component analysis (PCA) is a practical tool to achieve this.
Generalized Shuffled Linear Regression
Therefore, in this work, we generalize the formulation of shuffled linear regression to a broader range of conditions where only part of the data should correspond.
Neural Implicit Embedding for Point Cloud Analysis
One neural network is used to embed a portion of the distance field around a point.
Canonical and Compact Point Cloud Representation for Shape Classification
We present a novel compact point cloud representation that is inherently invariant to scale, coordinate change and point permutation.
