9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang, Haojun Jiang, Ruojin Cai +4
Reusing features in deep networks through dense connectivity is an effective way to achieve high computational efficiency. The recent proposed CondenseNet has shown that this mecha…
cs.CV2021
Extreme Rotation Estimation using Dense Correlation Volumes
Ruojin Cai, Bharath Hariharan, Noah Snavely +1
We present a technique for estimating the relative 3D rotation of an RGB image pair in an extreme setting, where the images have little or no overlap. We observe that, even when im…
cs.CV2020★ 9 cited
Learning Gradient Fields for Shape Generation
Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor +4
In this work, we propose a novel technique to generate shapes from point cloud data. A point cloud can be viewed as samples from a distribution of 3D points whose density is concen…