Search Results for author:
Found 4 papers, 1 papers with code
Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry
Supervised learning depth estimation methods can achieve good performance when trained on high-quality ground-truth, like LiDAR data.
PlantStereo: A Stereo Matching Benchmark for Plant Surface Dense Reconstruction
In this paper, we aim to address the issue between datasets and models and propose a large scale stereo dataset with high accuracy disparity ground truth named PlantStereo.
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
Our approach achieves the bestperformance on precision and accuracy of human fall event detection, compared with other existing dictionary learning methods.
Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images
Ophthalmic microsurgery is known to be a challenging operation, which requires very precise and dexterous manipulation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
