Moyang Li — accepted AI-conference papers

2026

DROID-SLAM in the Wild

Moyang Li, Zihan Zhu, Marc Pollefeys, Daniel Barath

CVPR 2026

We present a robust, real-time RGB SLAM system that handles dynamic environments by leveraging differentiable Uncertainty-aware Bundle Adjustment. Traditional SLAM methods typically assume static scenes, leading to tracking failures in the presence of motion. Recent dynamic SLAM approaches attempt t

Cited by 0 Source ↗code ↗Scholar ↗

2024

USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields

Moyang Li, Peng Wang, Lingzhe Zhao, Bangyan Liao, Peidong Liu

ICLR 2024poster

Neural Radiance Fields (NeRF) has received much attention recently due to its impressive capability to represent 3D scene and synthesize novel view images. Existing works usually assume that the input images are captured by a global shutter camera. Thus, rolling shutter (RS) images cannot be trivial…

Cited by 15 Source ↗PDF ↗code ↗Scholar ↗