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.
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.
no code implementations • 21 Mar 2019 • Jiexiong Tang, John Folkesson, Patric Jensfelt
In this paper, we proposed a new deep learning based dense monocular SLAM method.
3 code implementations • 28 Feb 2019 • Jiexiong Tang, Ludvig Ericson, John Folkesson, Patric Jensfelt
In this paper, we present a deep learning-based network, GCNv2, for generation of keypoints and descriptors.