90 citations · 93 across the 7 of their papers we have counts for
7 papers · 1 filter
Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
Xuemei Jia, Jiawei Du, Hui Wei +3
High-fidelity generative models are increasingly needed in privacy-sensitive scenarios, where access to data is severely restricted due to regulatory and copyright constraints. Thi…
Beyond the Horizon: Decoupling Multi-View UAV Action Recognition via Partial Order Transfer
Wenxuan Liu, Zhuo Zhou, Xuemei Jia +4
Action recognition in unmanned aerial vehicles (UAVs) poses unique challenges due to significant view variations along the vertical spatial axis. Unlike traditional ground-based se…
See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-Identification
Xiyu Han, Xian Zhong, Wenxin Huang +3
Cloth-changing person re-identification (CC-ReID) aims to match individuals across surveillance cameras despite variations in clothing. Existing methods typically mitigate the impa…
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions
Guanyu Zhou, Wenxuan Liu, Wenxin Huang +3
The lack of occlusion data in common action recognition video datasets limits model robustness and hinders consistent performance gains. We build OccludeNet, a large-scale occluded…
Dynamic Association Learning of Self-Attention and Convolution in Image Restoration
Kui Jiang, Xuemei Jia, Wenxin Huang +3
CNNs and Self attention have achieved great success in multimedia applications for dynamic association learning of self-attention and convolution in image restoration. However, CNN…
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Hui Wei, Zhixiang Wang, Xuemei Jia +4
Adversarial attacks on thermal infrared imaging expose the risk of related applications. Estimating the security of these systems is essential for safely deploying them in the real…
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Hui Wei, Hao Tang, Xuemei Jia +6
Despite the impressive achievements of Deep Neural Networks (DNNs) in computer vision, their vulnerability to adversarial attacks remains a critical concern. Extensive research has…