64 citations · 113 across the 22 of their papers we have counts for
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cs.CV2018★ 9 cited
Segmentation-driven 6D Object Pose Estimation
Yinlin Hu, Joachim Hugonot, Pascal Fua +1
The most recent trend in estimating the 6D pose of rigid objects has been to train deep networks to either directly regress the pose from the image or to predict the 2D locations o…
cs.CV2018★ 6 cited
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
Zheng Dang, Kwang Moo Yi, Yinlin Hu +3
Many classical Computer Vision problems, such as essential matrix computation and pose estimation from 3D to 2D correspondences, can be solved by finding the eigenvector correspond…