This paper identifies two kinds of redundancy in the current VideoQA
par...
Attribute-specific fashion retrieval (ASFR) is a challenging information...
Cross-modal video retrieval aims to retrieve the semantically relevant v...
Cognitive diagnosis is a fundamental yet critical research task in the f...
In online display advertising, guaranteed contracts and real-time biddin...
Personalized fashion recommendation aims to explore patterns from histor...
We tackle the task of video moment retrieval (VMR), which aims to locali...
This companion paper supports the replication of the fashion trend
forec...
This paper strives to predict fine-grained fashion similarity. In this
s...
Recommender systems rely heavily on increasing computation resources to
...
This paper targets the task of language-based moment localization. The
l...
In this paper, we explore a novel task named visual Relation Grounding i...
The rapid growth of user-generated videos on the Internet has intensifie...
We address the challenging task of cross-modal moment retrieval, which a...
Fashion trend forecasting is a crucial task for both academia and indust...
Fashion knowledge helps people to dress properly and addresses not only
...
When traveling to a foreign country, we are often in dire need of an
int...
Real-Time Bidding (RTB) is an important paradigm in display advertising,...
Despite the promising progress made in recent years, person re-identific...
Identifying mix-and-match relationships between fashion items is an urge...
In online display advertising, guaranteed contracts and real-time biddin...
With the ever-increasing demand for wireless traffic and quality of seri...
Massive number of internet of things (IoT) devices are expected to
simul...
Real-time bidding (RTB) is almost the most important mechanism in online...