HiSA: Hierarchically Semantic Associating for Video Temporal Grounding

Author:

Xu Zhe1ORCID,Chen Da2ORCID,Wei Kun1ORCID,Deng Cheng1ORCID,Xue Hui2ORCID

Affiliation:

1. School of Electronic Engineering, Xidian University, Xi’an, China

2. Alibaba Group, Hangzhou, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference72 articles.

1. Visualizing data using t-SNE;van der maaten;Journal of Mach Learn Res,2008

2. The THUMOS challenge on action recognition for videos “in the wild”

3. Weakly Supervised Action Selection Learning in Video

4. Memory-guided Unsupervised Image-to-image Translation

5. Diverse image-to-image translation via disentangled representations;lee;Proc ECCV,2018

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