output
20162019
most citedEnd-to-End Comparative Attention Networks for Person Re-identification

484 citations

11 papers

cs.CV2019★ 10 cited

PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction

Hongsong Wang, Jian Dong, Bin Cheng +1

Human motion prediction, which aims to predict future human poses given past poses, has recently seen increased interest. Many recent approaches are based on Recurrent Neural Netwo…

cs.CV2018★ 11 cited

Style Separation and Synthesis via Generative Adversarial Networks

Rui Zhang, Sheng Tang, Yu Li +4

Style synthesis attracts great interests recently, while few works focus on its dual problem "style separation". In this paper, we propose the Style Separation and Synthesis Genera…

cs.CV2018★ 13 cited

Multi-Fiber Networks for Video Recognition

Yunpeng Chen, Yannis Kalantidis, Jianshu Li +2

In this paper, we aim to reduce the computational cost of spatio-temporal deep neural networks, making them run as fast as their 2D counterparts while preserving state-of-the-art a…

cs.CR2017★ 2 cited

Security Risks in Deep Learning Implementations

Qixue Xiao, Kang Li, Deyue Zhang +1

Advance in deep learning algorithms overshadows their security risk in software implementations. This paper discloses a set of vulnerabilities in popular deep learning frameworks i…

cs.CL2017★ 5 cited

Using Argument-based Features to Predict and Analyse Review Helpfulness

Haijing Liu, Yang Gao, Pin Lv +4

We study the helpful product reviews identification problem in this paper. We observe that the evidence-conclusion discourse relations, also known as arguments, often appear in pro…

cs.SI2017★ 7 cited

A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users

Hao Wang, Yanmei Fu, Qinyong Wang +3

Spatial item recommendation has become an important means to help people discover interesting locations, especially when people pay a visit to unfamiliar regions. Some current rese…