270 citations · 621 across the 30 of their papers we have counts for
10 papers · 1 filter
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing
Ajian Liu, Zichang Tan, Xuan Li +4
Regardless of the usage of deep learning and handcrafted methods, the dynamic information from videos and the effect of cross-ethnicity are rarely considered in face anti-spoofing.…
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild
Shifeng Zhang, Yiliang Xie, Jun Wan +3
Pedestrian detection has achieved significant progress with the availability of existing benchmark datasets. However, there is a gap in the diversity and density between real world…
Relational Learning for Joint Head and Human Detection
Cheng Chi, Shifeng Zhang, Junliang Xing +3
Head and human detection have been rapidly improved with the development of deep convolutional neural networks. However, these two tasks are often studied separately without consid…
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
Cheng Chi, Shifeng Zhang, Junliang Xing +3
Pedestrian detection in crowded scenes is a challenging problem, because occlusion happens frequently among different pedestrians. In this paper, we propose an effective and effici…
RefineFace: Refinement Neural Network for High Performance Face Detection
Shifeng Zhang, Cheng Chi, Zhen Lei +1
Face detection has achieved significant progress in recent years. However, high performance face detection still remains a very challenging problem, especially when there exists ma…
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
Shifeng Zhang, Ajian Liu, Jun Wan +5
Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmar…