Discovering causal structure from purely observational data (i.e., causa...
In this paper, we aim to learn a semantic radiance field from multiple s...
In this paper, we target at the problem of learning a generalizable dyna...
With the rising industrial attention to 3D virtual modeling technology,
...
In this paper, we investigate the dynamics-aware adversarial attack prob...
Effectively preserving and encoding structure features from objects in
i...
Talking head synthesis is an emerging technology with wide applications ...
We propose a novel method to reliably estimate the pose of a camera give...
A bathtub in a library, a sink in an office, a bed in a laundry room – t...
Action recognition models have shown a promising capability to classify ...
We propose a framework to continuously learn object-centric representati...
Invariance and equivariance to the rotation group have been widely discu...
In this work, we tackle the problem of category-level online pose tracki...
Most existing point cloud instance and semantic segmentation methods hea...
Point cloud is an important 3D data representation widely used in many
e...
Human beings are fundamentally sociable – that we generally organize our...
When learning to sketch, beginners start with simple and flexible shapes...