67 citations · 92 across the 9 of their papers we have counts for
8 papers · 1 filter
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing
Wei Liu, Pingping Zhang, Yinjie Lei +3
Image smoothing is a fundamental procedure in applications of both computer vision and graphics. The required smoothing properties can be different or even contradictive among diff…
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger +4
Generative Adversarial Networks (GANs) have been extremely successful in various application domains such as computer vision, medicine, and natural language processing. Moreover, t…
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Masoumeh Zareapoor, Pourya Shamsolmoali, Jie Yang
The collected data from industrial machines are often imbalanced, which poses a negative effect on learning algorithms. However, this problem becomes more challenging for a mixed t…
AMIL: Adversarial Multi Instance Learning for Human Pose Estimation
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou +1
Human pose estimation has an important impact on a wide range of applications from human-computer interface to surveillance and content-based video retrieval. For human pose estima…
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching
Fanghui Liu, Chen Gong, Xiaolin Huang +3
In this paper, we propose a novel matching based tracker by investigating the relationship between template matching and the recent popular correlation filter based trackers (CFTs)…
A Regularization Approach for Instance-Based Superset Label Learning
Chen Gong, Tongliang Liu, Yuanyan Tang +3
Different from the traditional supervised learning in which each training example has only one explicit label, superset label learning (SLL) refers to the problem that a training e…