115 citations · 775 across the 83 of their papers we have counts for
6 papers · 1 filter
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
Weijian Deng, Liang Zheng, Qixiang Ye +3
Person re-identification (re-ID) models trained on one domain often fail to generalize well to another. In our attempt, we present a "learning via translation" framework. In the ba…
Soft Proposal Networks for Weakly Supervised Object Localization
Yi Zhu, Yanzhao Zhou, Qixiang Ye +2
Weakly supervised object localization remains challenging, where only image labels instead of bounding boxes are available during training. Object proposal is an effective componen…
Deep Spatio-temporal Manifold Network for Action Recognition
Ce Li, Chen Chen, Baochang Zhang +3
Visual data such as videos are often sampled from complex manifold. We propose leveraging the manifold structure to constrain the deep action feature learning, thereby minimizing t…
SRN: Side-output Residual Network for Object Symmetry Detection in the Wild
Wei Ke, Jie Chen, Jianbin Jiao +2
In this paper, we establish a baseline for object symmetry detection in complex backgrounds by presenting a new benchmark and an end-to-end deep learning approach, opening up a pro…
A Graphical Social Topology Model for Multi-Object Tracking
Shan Gao, Xiaogang Chen, Qixiang Ye +3
Tracking multiple objects is a challenging task when objects move in groups and occlude each other. Existing methods have investigated the problems of group division and group ener…
Oriented Response Networks
Yanzhao Zhou, Qixiang Ye, Qiang Qiu +1
Deep Convolution Neural Networks (DCNNs) are capable of learning unprecedentedly effective image representations. However, their ability in handling significant local and global im…