5 citations · 20 across the 11 of their papers we have counts for
11 papers
Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition
Hongda Liu, Yunfan Liu, Min Ren +3
In skeleton-based action recognition, a key challenge is distinguishing between actions with similar trajectories of joints due to the lack of image-level details in skeletal repre…
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition
Hongda Liu, Yunlong Wang, Min Ren +4
Skeleton-based action recognition has recently made significant progress. However, data imbalance is still a great challenge in real-world scenarios. The performance of current act…
Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions
Min Ren, Yunlong Wang, Yuhao Zhu +2
Occlusion is a common problem with biometric recognition in the wild. The generalization ability of CNNs greatly decreases due to the adverse effects of various occlusions. To this…
Perturbation Inactivation Based Adversarial Defense for Face Recognition
Min Ren, Yuhao Zhu, Yunlong Wang +1
Deep learning-based face recognition models are vulnerable to adversarial attacks. To curb these attacks, most defense methods aim to improve the robustness of recognition models a…
Exploring Generalizable Distillation for Efficient Medical Image Segmentation
Xingqun Qi, Zhuojie Wu, Min Ren +3
Efficient medical image segmentation aims to provide accurate pixel-wise predictions for medical images with a lightweight implementation framework. However, lightweight frameworks…
AnyFace: Free-style Text-to-Face Synthesis and Manipulation
Jianxin Sun, Qiyao Deng, Qi Li +3
Existing text-to-image synthesis methods generally are only applicable to words in the training dataset. However, human faces are so variable to be described with limited words. So…