activity
20172022
most citedSiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

41 citations · 66 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022★ 9 cited

Semantic Visual Simultaneous Localization and Mapping: A Survey

Kaiqi Chen, Junhao Xiao, Jialing Liu +6

Visual Simultaneous Localization and Mapping (vSLAM) has achieved great progress in the computer vision and robotics communities, and has been successfully used in many fields such…

cs.CV2021★ 1 cited

Deep High-Resolution Representation Learning for Cross-Resolution Person Re-identification

Guoqing Zhang, Yu Ge, Zhicheng Dong +3

Person re-identification (re-ID) tackles the problem of matching person images with the same identity from different cameras. In practical applications, due to the differences in c…

cs.CV2020★ 1 cited

Consistency-Aware Graph Network for Human Interaction Understanding

Zhenhua Wang, Jiajun Meng, Dongyan Guo +3

Compared with the progress made on human activity classification, much less success has been achieved on human interaction understanding (HIU). Apart from the latter task is much m…

cs.CV2019★ 41 cited

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

Dongyan Guo, Jun Wang, Ying Cui +2

By decomposing the visual tracking task into two subproblems as classification for pixel category and regression for object bounding box at this pixel, we propose a novel fully con…

cs.CV2019★ 2 cited

Towards the Automation of Deep Image Prior

Qianwei Zhou, Chen Zhou, Haigen Hu +3

Single image inverse problem is a notoriously challenging ill-posed problem that aims to restore the original image from one of its corrupted versions. Recently, this field has bee…

cs.CV2019

End-to-end feature fusion siamese network for adaptive visual tracking

Dongyan Guo, Jun Wang, Weixuan Zhao +3

According to observations, different visual objects have different salient features in different scenarios. Even for the same object, its salient shape and appearance features may…

cs.CV2017★ 7 cited

Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA

Yang Li, Guangcan Liu, Shengyong Chen

Due to its efficiency and stability, Robust Principal Component Analysis (RPCA) has been emerging as a promising tool for moving object detection. Unfortunately, existing RPCA base…