30 citations · 56 across the 6 of their papers we have counts for
6 papers
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation
Xixia Xu, Qi Zou, Xue Lin
Human pose estimation has been widely studied with much focus on supervised learning requiring sufficient annotations. However, in real applications, a pretrained pose estimation m…
Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection
Xixia Xu, Qi Zou, Xue Lin
We propose a novel Enhanced Feature Aggregation and Selection network (EFASNet) for multi-person 2D human pose estimation. Due to enhanced feature representation, our method can we…
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale Features
Runsheng Zhang, Yaping Huang, Mengyang Pu +4
TThe goal of our work is to discover dominant objects in a very general setting where only a single unlabeled image is given. This is far more challenge than typical co-localizatio…
Unsupervised Part Mining for Fine-grained Image Classification
Runsheng Zhang, jian zhang, Yaping Huang +1
Fine-grained image classification remains challenging due to the large intra-class variance and small inter-class variance. Since the subtle visual differences are only in local re…
Does Haze Removal Help CNN-based Image Classification?
Yanting Pei, Yaping Huang, Qi Zou +2
Hazy images are common in real scenarios and many dehazing methods have been developed to automatically remove the haze from images. Typically, the goal of image dehazing is to pro…
Effects of Image Degradations to CNN-based Image Classification
Yanting Pei, Yaping Huang, Qi Zou +3
Just like many other topics in computer vision, image classification has achieved significant progress recently by using deep-learning neural networks, especially the Convolutional…