Neural Outlier Rejection for Self-Supervised Keypoint Learning

2 code implementations • ICLR 2020 • Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus

By making the sampling of inlier-outlier sets from point-pair correspondences fully differentiable within the keypoint learning framework, we show that are able to simultaneously self-supervise keypoint description and improve keypoint matching.

Homography Estimation Keypoint Detection +1

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation

1 code implementation • 7 Dec 2019 • Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon

Detecting and matching robust viewpoint-invariant keypoints is critical for visual SLAM and Structure-from-Motion.

Autonomous Vehicles Depth Estimation +5

Place Recognition with Event-based Cameras and a Neural Implementation of SeqSLAM

no code implementations • 18 May 2015 • Michael Milford, Hanme Kim, Michael Mangan, Stefan Leutenegger, Tom Stone, Barbara Webb, Andrew Davison

Event-based cameras offer much potential to the fields of robotics and computer vision, in part due to their large dynamic range and extremely high "frame rates".