206 citations · 841 across the 24 of their papers we have counts for
24 papers
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval
Jianfeng Dong, Xiaoman Peng, Zhe Ma +5
Attribute-specific fashion retrieval (ASFR) is a challenging information retrieval task, which has attracted increasing attention in recent years. Different from traditional fashio…
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding
Daizong Liu, Xiaoye Qu, Jianfeng Dong +6
This paper addresses the temporal sentence grounding (TSG). Although existing methods have made decent achievements in this task, they not only severely rely on abundant video-quer…
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…
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…
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
Fan Hu, Aozhu Chen, Ziyue Wang +3
In this paper we revisit feature fusion, an old-fashioned topic, in the new context of text-to-video retrieval. Different from previous research that considers feature fusion only…