5 citations · 10 across the 3 of their papers we have counts for
4 papers
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
Ziquan Lan, Zi Jian Yew, Gim Hee Lee
Outlier feature matches and loop-closures that survived front-end data association can lead to catastrophic failures in the back-end optimization of large-scale point cloud based 3…
Transferable Semi-supervised 3D Object Detection from RGB-D Data
Yew Siang Tang, Gim Hee Lee
We investigate the direction of training a 3D object detector for new object classes from only 2D bounding box labels of these new classes, while simultaneously transferring inform…
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud
Mengdan Feng, Sixing Hu, Marcelo Ang +1
Large-scale point cloud generated from 3D sensors is more accurate than its image-based counterpart. However, it is seldom used in visual pose estimation due to the difficulty in o…
3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection
Christian Häne, Lionel Heng, Gim Hee Lee +4
Cameras are a crucial exteroceptive sensor for self-driving cars as they are low-cost and small, provide appearance information about the environment, and work in various weather c…