12 citations · 16 across the 2 of their papers we have counts for
3 papers
cs.CV2019★ 12 cited
Recurrent U-Net for Resource-Constrained Segmentation
Wei Wang, Kaicheng Yu, Joachim Hugonot +2
State-of-the-art segmentation methods rely on very deep networks that are not always easy to train without very large training datasets and tend to be relatively slow to run on sta…
cs.CV2018★ 4 cited
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation
Wei Wang, Kaicheng Yu, Joachim Hugonot +2
As mixed reality is gaining increased momentum, the development of effective and efficient solutions to egocentric hand segmentation is becoming critical. Traditional segmentation…
cs.CV2018
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…