most citedHateful Memes Detection via Complementary Visual and Linguistic Networks

14 citations · 21 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV202014 cited

Hateful Memes Detection via Complementary Visual and Linguistic Networks

Weibo Zhang, Guihua Liu, Zhuohua Li +1

Hateful memes are widespread in social media and convey negative information. The main challenge of hateful memes detection is that the expressive meaning can not be well recognize…

cs.IR2020

AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization

Dongjun Wei, Yaxin Liu, Fuqing Zhu +4

Withthegrowthofknowledgegraphs, entity descriptions are becoming extremely lengthy. Entity summarization task, aiming to generate diverse, comprehensive, and representative summari…

cs.CL20207 cited

Pre-training Text Representations as Meta Learning

Shangwen Lv, Yuechen Wang, Daya Guo +10

Pre-training text representations has recently been shown to significantly improve the state-of-the-art in many natural language processing tasks. The central goal of pre-training…

cs.CV2017

Pseudo-positive regularization for deep person re-identification

Fuqing Zhu, Xiangwei Kong, Haiyan Fu +1

An intrinsic challenge of person re-identification (re-ID) is the annotation difficulty. This typically means 1) few training samples per identity, and 2) thus the lack of diversit…

cs.CV2017

Part-based Deep Hashing for Large-scale Person Re-identification

Fuqing Zhu, Xiangwei Kong, Liang Zheng +2

Large-scale is a trend in person re-identification (re-id). It is important that real-time search be performed in a large gallery. While previous methods mostly focus on discrimina…