research
∙
07/03/2023
JourneyDB: A Benchmark for Generative Image Understanding
While recent advancements in vision-language models have revolutionized ...
share
research
∙
02/17/2023
Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
Self-supervised learning has demonstrated remarkable capability in repre...
research
∙
10/12/2022
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition
Graph convolution networks (GCN) have been widely used in skeleton-based...
research
∙
05/19/2022
PYSKL: Towards Good Practices for Skeleton Action Recognition
We present PYSKL: an open-source toolbox for skeleton-based action recog...
research
∙
05/04/2022
TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition
Recognizing transformation types applied to a video clip (RecogTrans) is...
research
∙
01/12/2022
OCSampler: Compressing Videos to One Clip with Single-step Sampling
In this paper, we propose a framework named OCSampler to explore a compa...
research
∙
10/25/2019
TRB: A Novel Triplet Representation for Understanding 2D Human Body
Human pose and shape are two important components of 2D human body. Howe...
research
∙
12/16/2017