activity
20182022
most citedReading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval

78 citations · 114 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV20226 cited

Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning

Jianfeng Dong, Shengkai Sun, Zhonglin Liu +3

This paper targets unsupervised skeleton-based action representation learning and proposes a new Hierarchical Contrast (HiCo) framework. Different from the existing contrastive-bas…

cs.CV2022

Modality-Balanced Embedding for Video Retrieval

Xun Wang, Bingqing Ke, Xuanping Li +6

Video search has become the main routine for users to discover videos relevant to a text query on large short-video sharing platforms. During training a query-video bi-encoder mode…

cs.CV202278 cited

Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval

Jianfeng Dong, Yabing Wang, Xianke Chen +4

This paper aims for the task of text-to-video retrieval, where given a query in the form of a natural-language sentence, it is asked to retrieve videos which are semantically relev…

cs.CV202111 cited

Deep Dual Consecutive Network for Human Pose Estimation

Zhenguang Liu, Haoming Chen, Runyang Feng +4

Multi-frame human pose estimation in complicated situations is challenging. Although state-of-the-art human joints detectors have demonstrated remarkable results for static images,…

cs.CV2020

Dual Encoding for Video Retrieval by Text

Jianfeng Dong, Xirong Li, Chaoxi Xu +4

This paper attacks the challenging problem of video retrieval by text. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described exclusive…

cs.CV20202 cited

Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval

Xun Yang, Jianfeng Dong, Yixin Cao +3

The rapid growth of user-generated videos on the Internet has intensified the need for text-based video retrieval systems. Traditional methods mainly favor the concept-based paradi…