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

484 citations

Showing cs.CVShow all

7 papers · 1 filter

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.CV2017★ 10 cited

Training Group Orthogonal Neural Networks with Privileged Information

Yunpeng Chen, Xiaojie Jin, Jiashi Feng +1

Learning rich and diverse representations is critical for the performance of deep convolutional neural networks (CNNs). In this paper, we consider how to use privileged information…

cs.CV2016★ 484 cited

End-to-End Comparative Attention Networks for Person Re-identification

Hao Liu, Jiashi Feng, Meibin Qi +2

Person re-identification across disjoint camera views has been widely applied in video surveillance yet it is still a challenging problem. One of the major challenges lies in the l…

cs.CV2016★ 211 cited

Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution

Wenhan Yang, Jiashi Feng, Jianchao Yang +4

In this work, we consider the image super-resolution (SR) problem. The main challenge of image SR is to recover high-frequency details of a low-resolution (LR) image that are impor…