Search Results for author:
Found 6 papers, 2 papers with code
Mixup Your Own Pairs
In representation learning, regression has traditionally received less attention than classification.
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding
In this work, we proposed the first interpretable framework for brain FC trajectory embedding with application to neurodegenerative disease diagnosis and prognosis, namely Brain Tokenized Graph Transformer (Brain TokenGT).
AG3D: Learning to Generate 3D Avatars from 2D Image Collections
The key to progress is hence to learn generative models of 3D avatars from abundant unstructured 2D image collections.
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence
We present a novel method to learn Personalized Implicit Neural Avatars (PINA) from a short RGB-D sequence.
Shape-aware Multi-Person Pose Estimation from Multi-View Images
In this paper we contribute a simple yet effective approach for estimating 3D poses of multiple people from multi-view images.
Ranked #16 on
3D Multi-Person Pose Estimation
on Shelf
3D Multi-Person Pose Estimation
Multi-Person Pose Estimation
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis
Many object pose estimation algorithms rely on the analysis-by-synthesis framework which requires explicit representations of individual object instances.
