activity
20182020
most citedPointNetLK: Robust & Efficient Point Cloud Registration using PointNet

16 citations · 31 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20204 cited

Joint Pose and Shape Estimation of Vehicles from LiDAR Data

Hunter Goforth, Xiaoyan Hu, Michael Happold +1

We address the problem of estimating the pose and shape of vehicles from LiDAR scans, a common problem faced by the autonomous vehicle community. Recent work has tended to address…

cs.CV201911 cited

One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment

Vinit Sarode, Xueqian Li, Hunter Goforth +5

PointNet has recently emerged as a popular representation for unstructured point cloud data, allowing application of deep learning to tasks such as object detection, segmentation a…

cs.CV2019

PCRNet: Point Cloud Registration Network using PointNet Encoding

Vinit Sarode, Xueqian Li, Hunter Goforth +4

PointNet has recently emerged as a popular representation for unstructured point cloud data, allowing application of deep learning to tasks such as object detection, segmentation a…

cs.CV201916 cited

PointNetLK: Robust & Efficient Point Cloud Registration using PointNet

Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan +1

PointNet has revolutionized how we think about representing point clouds. For classification and segmentation tasks, the approach and its subsequent extensions are state-of-the-art…

cs.CV2018

Aligning Across Large Gaps in Time

Hunter Goforth, Simon Lucey

We present a method of temporally-invariant image registration for outdoor scenes, with invariance across time of day, across seasonal variations, and across decade-long periods, f…