29 citations · 44 across the 11 of their papers we have counts for
7 papers · 1 filter
Low-resolution Human Pose Estimation
Chen Wang, Feng Zhang, Xiatian Zhu +1
Human pose estimation has achieved significant progress on images with high imaging resolution. However, low-resolution imagery data bring nontrivial challenges which are still und…
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
Song Tang, Yan Yang, Zhiyuan Ma +5
In the classic setting of unsupervised domain adaptation (UDA), the labeled source data are available in the training phase. However, in many real-world scenarios, owing to some re…
Person image generation with semantic attention network for person re-identification
Meichen Liu, Kejun Wang, Juihang Ji +1
Pose variation is one of the key factors which prevents the network from learning a robust person re-identification (Re-ID) model. To address this issue, we propose a novel person…
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space
Cong Wang, Witold Pedrycz, ZhiWu Li +2
G-images refer to image data defined on irregular graph domains. This work elaborates a similarity-preserving Fuzzy C-Means (FCM) algorithm for G-image segmentation and aims to dev…
Saliency Guided Hierarchical Robust Visual Tracking
Fangwen Tu, Shuzhi Sam Ge, Yazhe Tang +1
A saliency guided hierarchical visual tracking (SHT) algorithm containing global and local search phases is proposed in this paper. In global search, a top-down saliency model is n…
Shallow Cue Guided Deep Visual Tracking via Mixed Models
Fangwen Tu, Shuzhi Sam Ge, Chang Chieh Hang
In this paper, a robust visual tracking approach via mixed model based convolutional neural networks (SDT) is developed. In order to handle abrupt or fast motion, a prior map is ge…