activity
20132025
most citedIntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

158 citations · 716 across the 49 of their papers we have counts for

collaborators
Showing 2021Show all

12 papers · 1 filter

cs.CV2021

SimulSLT: End-to-End Simultaneous Sign Language Translation

Aoxiong Yin, Zhou Zhao, Jinglin Liu +4

Sign language translation as a kind of technology with profound social significance has attracted growing researchers' interest in recent years. However, the existing sign language…

cs.IR2021★ 2 cited

Why Do We Click: Visual Impression-aware News Recommendation

Jiahao Xun, Shengyu Zhang, Zhou Zhao +7

There is a soaring interest in the news recommendation research scenario due to the information overload. To accurately capture users' interests, we propose to model multi-modal fe…

cs.CV2021★ 2 cited

SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory

Zhijie Lin, Zhou Zhao, Haoyuan Li +4

Lip reading, aiming to recognize spoken sentences according to the given video of lip movements without relying on the audio stream, has attracted great interest due to its applica…

cs.CV2021★ 85 cited

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

Wenxiao Wang, Lu Yao, Long Chen +4

Transformers have made great progress in dealing with computer vision tasks. However, existing vision transformers do not yet possess the ability of building the interactions among…

cs.CV2021★ 3 cited

Salient Object Ranking with Position-Preserved Attention

Hao Fang, Daoxin Zhang, Yi Zhang +5

Instance segmentation can detect where the objects are in an image, but hard to understand the relationship between them. We pay attention to a typical relationship, relative salie…

cs.LG2021★ 13 cited

Attacking Adversarial Attacks as A Defense

Boxi Wu, Heng Pan, Li Shen +6

It is well known that adversarial attacks can fool deep neural networks with imperceptible perturbations. Although adversarial training significantly improves model robustness, fai…