16 citations · 76 across the 17 of their papers we have counts for
6 papers · 1 filter
Context-Aware Graph Convolution Network for Target Re-identification
Deyi Ji, Haoran Wang, Hanzhe Hu +3
Most existing re-identification methods focus on learning robust and discriminative features with deep convolution networks. However, many of them consider content similarity separ…
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure
Weitao Feng, Zhihao Hu, Baopu Li +3
Multi-Object Tracking (MOT) is a popular topic in computer vision. However, identity issue, i.e., an object is wrongly associated with another object of a different identity, still…
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Haisheng Su, Jing Su, Dongliang Wang +5
Recent years have witnessed the significant progress of action recognition task with deep networks. However, most of current video networks require large memory and computational r…
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
Haisheng Su, Weihao Gan, Wei Wu +2
Generating human action proposals in untrimmed videos is an important yet challenging task with wide applications. Current methods often suffer from the noisy boundary locations an…
Class-wise Dynamic Graph Convolution for Semantic Segmentation
Hanzhe Hu, Deyi Ji, Weihao Gan +3
Recent works have made great progress in semantic segmentation by exploiting contextual information in a local or global manner with dilated convolutions, pyramid pooling or self-a…
Hierarchical Feature Embedding for Attribute Recognition
Jie Yang, Jiarou Fan, Yiru Wang +4
Attribute recognition is a crucial but challenging task due to viewpoint changes, illumination variations and appearance diversities, etc. Most of previous work only consider the a…