Jingran Zhang — accepted AI-conference papers

2022

Semi-Supervised Video Paragraph Grounding With Contrastive Encoder

Xun Jiang, Xing Xu, Jingran Zhang, Fumin Shen, Zuo Cao, Heng Tao Shen

CVPR 2022poster

Video events grounding aims at retrieving the most relevant moments from an untrimmed video in terms of a given natural language query. Most previous works focus on Video Sentence Grounding (VSG), which localizes the moment with a sentence query. Recently, researchers extended this task to Video Par…

Cited by 35 PDF ↗Scholar ↗

2021

Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning

Jingran Zhang, Xing Xu, Fumin Shen, Huimin Lu, Xin Liu, Heng Tao Shen

AAAI 2021technical

The recent success of audio-visual representations learning can be largely attributed to their pervasive concurrency property, which can be used as a self-supervision signal and extract correlation information. While most recent works focus on capturing the shared associations between the audio and…

Cited by 26 Source ↗PDF ↗Scholar ↗