no code implementations • 22 Nov 2023 • Zisheng Xu, Qiao Yan, F. Richard Yu, Victor C. M. Leung
The discovery of adversarial examples provides an ideal solution to the security and usability trade-off by integrating adversarial examples and CAPTCHAs to generate adversarial CAPTCHAs that can fool the deep models.
no code implementations • 25 Oct 2023 • Qiao Yan, Yihan Wang
Additionally, we propose a pioneering backbone, the Radar Feature Assisted backbone, explicitly crafted to fully exploit the valuable Doppler velocity and reflectivity data provided by the 4D radar sensor.
no code implementations • 20 Aug 2023 • Qiao Yan, Yihan Wang
To validate the robustness of 4D radars and thermal cameras for 3D object detection in challenging weather conditions, we propose a new multi-modal fusion method called RTDF-RCNN, which leverages the complementary strengths of 4D radars and thermal cameras to boost object detection performance.
no code implementations • 21 Jul 2023 • Yihan Wang, Qiao Yan, Yi Wang
LiDAR-based 3D object detection is of paramount importance for autonomous driving.