Jingjun Gu — accepted AI-conference papers

2024

Attention Beats Linear for Fast Implicit Neural Representation Generation

Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhihua Wang, Jiajun Bu +1

ECCV 2024poster

"Implicit Neural Representation (INR) has gained increasing popularity as a data representation method, serving as a prerequisite for innovative generation models. Unlike gradient-based methods, which exhibit lower efficiency in inference, the adoption of hyper-network for generating parameters in M…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗

2022

Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition

Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen +3

ECCV 2022poster

"Few-shot action recognition aims to recognize few-labeled novel action classes and attracts growing attentions due to practical significance. Human skeletons provide explainable and data-efficient representation for this problem by explicitly modeling spatial-temporal relations among skeleton joint…

Cited by 29 Source ↗PDF ↗code ↗Scholar ↗