18 citations · 41 across the 12 of their papers we have counts for
4 papers · 1 filter
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
Lingdong Kong, Shaoyuan Xie, Hanjiang Hu +3
Depth estimation from monocular images is pivotal for real-world visual perception systems. While current learning-based depth estimation models train and test on meticulously cura…
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong, Yaru Niu, Shaoyuan Xie +39
Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical a…
RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions
Shaoyuan Xie, Lingdong Kong, Wenwei Zhang +4
The recent advances in camera-based bird's eye view (BEV) representation exhibit great potential for in-vehicle 3D perception. Despite the substantial progress achieved on standard…
On the Adversarial Robustness of Camera-based 3D Object Detection
Shaoyuan Xie, Zichao Li, Zeyu Wang +1
In recent years, camera-based 3D object detection has gained widespread attention for its ability to achieve high performance with low computational cost. However, the robustness o…