226 citations · 855 across the 72 of their papers we have counts for
7 papers · 1 filter
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Bo Li, Wei Wu, Qiang Wang +3
Siamese network based trackers formulate tracking as convolutional feature cross-correlation between target template and searching region. However, Siamese trackers still have accu…
MeshAdv: Adversarial Meshes for Visual Recognition
Chaowei Xiao, Dawei Yang, Bo Li +2
Highly expressive models such as deep neural networks (DNNs) have been widely applied to various applications. However, recent studies show that DNNs are vulnerable to adversarial…
Distractor-aware Siamese Networks for Visual Object Tracking
Zheng Zhu, Qiang Wang, Bo Li +3
Recently, Siamese networks have drawn great attention in visual tracking community because of their balanced accuracy and speed. However, features used in most Siamese tracking app…
"Bilingual Expert" Can Find Translation Errors
Kai Fan, Jiayi Wang, Bo Li +3
Recent advances in statistical machine translation via the adoption of neural sequence-to-sequence models empower the end-to-end system to achieve state-of-the-art in many WMT benc…
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning
Shaohuai Shi, Qiang Wang, Xiaowen Chu +1
With huge amounts of training data, deep learning has made great breakthroughs in many artificial intelligence (AI) applications. However, such large-scale data sets present comput…
A New Target-specific Object Proposal Generation Method for Visual Tracking
Guanjun Guo, Hanzi Wang, Yan Yan +2
Object proposal generation methods have been widely applied to many computer vision tasks. However, existing object proposal generation methods often suffer from the problems of mo…