206 citations · 367 across the 11 of their papers we have counts for
11 papers
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…
Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning
Yabing Wang, Jianfeng Dong, Tianxiang Liang +3
Despite the recent developments in the field of cross-modal retrieval, there has been less research focusing on low-resource languages due to the lack of manually annotated dataset…
PRVR: Partially Relevant Video Retrieval
Xianke Chen, Daizong Liu, Xun Yang +4
In current text-to-video retrieval (T2VR), videos to be retrieved have been properly trimmed so that a correspondence between the videos and ad-hoc textual queries naturally exists…
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…
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…
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,…
Progressive Localization Networks for Language-based Moment Localization
Qi Zheng, Jianfeng Dong, Xiaoye Qu +5
This paper targets the task of language-based video moment localization. The language-based setting of this task allows for an open set of target activities, resulting in a large v…
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…
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…
Feature Re-Learning with Data Augmentation for Video Relevance Prediction
Jianfeng Dong, Xun Wang, Leimin Zhang +3
Predicting the relevance between two given videos with respect to their visual content is a key component for content-based video recommendation and retrieval. Thanks to the increa…
Dual Encoding for Zero-Example Video Retrieval
Jianfeng Dong, Xirong Li, Chaoxi Xu +4
This paper attacks the challenging problem of zero-example video retrieval. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described in n…