97 citations · 333 across the 18 of their papers we have counts for
6 papers · 2 filters
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…
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization
Daizong Liu, Xiaoye Qu, Xiao-Yang Liu +3
Query-based moment localization is a new task that localizes the best matched segment in an untrimmed video according to a given sentence query. In this localization task, one shou…
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos
Xiaoye Qu, Pengwei Tang, Zhikang Zhou +3
Temporal language localization in videos aims to ground one video segment in an untrimmed video based on a given sentence query. To tackle this task, designing an effective model t…
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…
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
Zhe Ma, Jianfeng Dong, Yao Zhang +4
This paper strives to learn fine-grained fashion similarity. In this similarity paradigm, one should pay more attention to the similarity in terms of a specific design/attribute am…