activity
20172021
most citedTransNFCM: Translation-Based Neural Fashion Compatibility Modeling

4 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 1 cited

Deconfounded Video Moment Retrieval with Causal Intervention

Xun Yang, Fuli Feng, Wei Ji +2

We tackle the task of video moment retrieval (VMR), which aims to localize a specific moment in a video according to a textual query. Existing methods primarily model the matching…

cs.CV2020

Visual Relation Grounding in Videos

Junbin Xiao, Xindi Shang, Xun Yang +2

In this paper, we explore a novel task named visual Relation Grounding in Videos (vRGV). The task aims at spatio-temporally localizing the given relations in the form of subject-pr…

cs.CV2020★ 2 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…

cs.IR2020★ 4 cited

Knowledge Enhanced Neural Fashion Trend Forecasting

Yunshan Ma, Yujuan Ding, Xun Yang +3

Fashion trend forecasting is a crucial task for both academia and industry. Although some efforts have been devoted to tackling this challenging task, they only studied limited fas…

cs.IR2018★ 4 cited

TransNFCM: Translation-Based Neural Fashion Compatibility Modeling

Xun Yang, Yunshan Ma, Lizi Liao +2

Identifying mix-and-match relationships between fashion items is an urgent task in a fashion e-commerce recommender system. It will significantly enhance user experience and satisf…

cs.CV2017

Enhancing Person Re-identification in a Self-trained Subspace

Xun Yang, Meng Wang, Richang Hong +2

Despite the promising progress made in recent years, person re-identification (re-ID) remains a challenging task due to the complex variations in human appearances from different c…