87 citations · 138 across the 8 of their papers we have counts for
8 papers
RBC: Rectifying the Biased Context in Continual Semantic Segmentation
Hanbin Zhao, Fengyu Yang, Xinghe Fu +1
Recent years have witnessed a great development of Convolutional Neural Networks in semantic segmentation, where all classes of training images are simultaneously available. In pra…
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
Yiming Wu, Xintian Wu, Xi Li +1
As a challenging task, unsupervised person ReID aims to match the same identity with query images which does not require any labeled information. In general, most existing approach…
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge
Junyi Feng, Songyuan Li, Xi Li +4
Real-time semantic video segmentation is a challenging task due to the strict requirements of inference speed. Recent approaches mainly devote great efforts to reducing the model s…
Contextual Hypergraph Modelling for Salient Object Detection
Xi Li, Yao Li, Chunhua Shen +2
Salient object detection aims to locate objects that capture human attention within images. Previous approaches often pose this as a problem of image contrast analysis. In this wor…
A Survey of Appearance Models in Visual Object Tracking
Xi Li, Weiming Hu, Chunhua Shen +3
Visual object tracking is a significant computer vision task which can be applied to many domains such as visual surveillance, human computer interaction, and video compression. In…
Learning Hash Functions Using Column Generation
Xi Li, Guosheng Lin, Chunhua Shen +2
Fast nearest neighbor searching is becoming an increasingly important tool in solving many large-scale problems. Recently a number of approaches to learning data-dependent hash fun…