140 citations · 919 across the 60 of their papers we have counts for
6 papers · 1 filter
Spectral Feature Transformation for Person Re-identification
Chuanchen Luo, Yuntao Chen, Naiyan Wang +1
With the surge of deep learning techniques, the field of person re-identification has witnessed rapid progress in recent years. Deep learning based methods focus on learning a feat…
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
Junsong Fan, Zhaoxiang Zhang, Tieniu Tan +2
Weakly supervised semantic segmentation with only image-level labels saves large human effort to annotate pixel-level labels. Cutting-edge approaches rely on various innovative con…
Accelerating Deep Neural Networks with Spatial Bottleneck Modules
Junran Peng, Lingxi Xie, Zhaoxiang Zhang +2
This paper presents an efficient module named spatial bottleneck for accelerating the convolutional layers in deep neural networks. The core idea is to decompose convolution into t…
Hard-Aware Point-to-Set Deep Metric for Person Re-identification
Rui Yu, Zhiyong Dou, Song Bai +3
Person re-identification (re-ID) is a highly challenging task due to large variations of pose, viewpoint, illumination, and occlusion. Deep metric learning provides a satisfactory…
Relational Network for Skeleton-Based Action Recognition
Wu Zheng, Lin Li, Zhaoxiang Zhang +2
With the fast development of effective and low-cost human skeleton capture systems, skeleton-based action recognition has attracted much attention recently. Most existing methods u…
Multi-pseudo Regularized Label for Generated Data in Person Re-Identification
Yan Huang, Jinsong Xu, Qiang Wu +3
Sufficient training data normally is required to train deeply learned models. However, due to the expensive manual process for labelling large number of images, the amount of avail…