27 citations · 30 across the 6 of their papers we have counts for
6 papers
You Need a Transition Plane: Bridging Continuous Panoramic 3D Reconstruction with Perspective Gaussian Splatting
Zhijie Shen, Chunyu Lin, Shujuan Huang +3
Recently, reconstructing scenes from a single panoramic image using advanced 3D Gaussian Splatting (3DGS) techniques has attracted growing interest. Panoramic images offer a 360$\t…
What Really Matters for Learning-based LiDAR-Camera Calibration
Shujuan Huang, Chunyu Lin, Yao Zhao
Calibration is an essential prerequisite for the accurate data fusion of LiDAR and camera sensors. Traditional calibration techniques often require specific targets or suitable sce…
Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph
Zherong Zhang, Chunyu Lin, Shujuan Huang +2
Relative pose estimation is crucial for various computer vision applications, including Robotic and Autonomous Driving. Current methods primarily depend on selecting and matching f…
Camera calibration for the surround-view system: a benchmark and dataset
L Qin, C Lin, S Huang +2
Surround-view system (SVS) is widely used in the Advanced Driver Assistance System (ADAS). SVS uses four fisheye lenses to monitor real-time scenes around the vehicle. However, acc…
WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
Jiyuan Wang, Chunyu Lin, Lang Nie +4
Depth estimation models have shown promising performance on clear scenes but fail to generalize to adverse weather conditions due to illumination variations, weather particles, etc…
Deep Learning for Camera Calibration and Beyond: A Survey
Kang Liao, Lang Nie, Shujuan Huang +5
Camera calibration involves estimating camera parameters to infer geometric features from captured sequences, which is crucial for computer vision and robotics. However, convention…