14 citations · 56 across the 10 of their papers we have counts for
10 papers
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion
Ziqiang Zhang, Yan Yan, Jing-Hao Xue +1
Most existing GAN inversion methods either achieve accurate reconstruction but lack editability or offer strong editability at the cost of fidelity. Hence, how to balance the disto…
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition
Delian Ruan, Yan Yan, Shenqi Lai +3
In this paper, we propose a novel Feature Decomposition and Reconstruction Learning (FDRL) method for effective facial expression recognition. We view the expression information as…
Hierarchical Representation via Message Propagation for Robust Model Fitting
Shuyuan Lin, Xing Wang, Guobao Xiao +2
In this paper, we propose a novel hierarchical representation via message propagation (HRMP) method for robust model fitting, which simultaneously takes advantages of both the cons…
Hallucinated Adversarial Learning for Robust Visual Tracking
Qiangqiang Wu, Zhihui Chen, Lin Cheng +3
Humans can easily learn new concepts from just a single exemplar, mainly due to their remarkable ability to imagine or hallucinate what the unseen exemplar may look like in differe…
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking
Qiangqiang Wu, Yan Yan, Yanjie Liang +2
In recent years, Discriminative Correlation Filter (DCF) based tracking methods have achieved great success in visual tracking. However, the multi-resolution convolutional feature…
A Fast Face Detection Method via Convolutional Neural Network
Guanjun Guo, Hanzi Wang, Yan Yan +2
Current face or object detection methods via convolutional neural network (such as OverFeat, R-CNN and DenseNet) explicitly extract multi-scale features based on an image pyramid.…