3 papers
cs.CV2026
DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions
Jiaqi Chen, Qinfu Xu, Liyuan Pan
Human Action Recognition (HAR) is a fundamental computer vision task with diverse real-world applications. Practical deployments often involve low-light environments and unconstrai…
cs.CV2026
Seeing Through Fog: Towards Fog-Invariant Action Recognition
Enqi Liu, Liyuan Pan, Zhi Gao +2
Foggy conditions are commonly encountered in real-world applications; however, existing action recognition approaches typically assume favorable weather and high-quality video inpu…
cs.CV2024
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention
Weihua Liu, Jianhua Qiu, Said Boumaraf +5
In response to the growing threat of deepfake technology, we introduce BENet, a Cross-Domain Robust Bias Expansion Network. BENet enhances the detection of fake faces by addressing…