15 citations · 24 across the 6 of their papers we have counts for
6 papers
Improving Robustness for Pose Estimation via Stable Heatmap Regression
Yumeng Zhang, Li Chen, Yufeng Liu +3
Deep learning methods have achieved excellent performance in pose estimation, but the lack of robustness causes the keypoints to change drastically between similar images. In view…
Cascade Image Matting with Deformable Graph Refinement
Zijian Yu, Xuhui Li, Huijuan Huang +2
Image matting refers to the estimation of the opacity of foreground objects. It requires correct contours and fine details of foreground objects for the matting results. To better…
Switching Transferable Gradient Directions for Query-Efficient Black-Box Adversarial Attacks
Chen Ma, Shuyu Cheng, Li Chen +2
We propose a simple and highly query-efficient black-box adversarial attack named SWITCH, which has a state-of-the-art performance in the score-based setting. SWITCH features a hig…
Self-Paced Video Data Augmentation with Dynamic Images Generated by Generative Adversarial Networks
Yumeng Zhang, Gaoguo Jia, Li Chen +2
There is an urgent need for an effective video classification method by means of a small number of samples. The deficiency of samples could be effectively alleviated by generating…
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB
Yumeng Zhang, Li Chen, Yufeng Liu +2
Insufficient labeled training datasets is one of the bottlenecks of 3D hand pose estimation from monocular RGB images. Synthetic datasets have a large number of images with precise…
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
Chen Ma, Chenxu Zhao, Hailin Shi +3
Deep neural networks (DNNs) are vulnerable to adversarial attack which is maliciously implemented by adding human-imperceptible perturbation to images and thus leads to incorrect p…