12 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 3 cited
3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation
Yuanpeng Liu, Jun Zhou, Yuqi Zhang +2
In this paper, we focus on estimating the 6D pose of objects in point clouds. Although the topic has been widely studied, pose estimation in point clouds remains a challenging prob…
cs.CL2020★ 12 cited
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
Cen Chen, Bingzhe Wu, Minghui Qiu +2
Transfer learning is widely used for transferring knowledge from a source domain to the target domain where the labeled data is scarce. Recently, deep transfer learning has achieve…
cs.LG2019★ 3 cited
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bingzhe Wu, Chaochao Chen, Shiwan Zhao +6
Bayesian deep learning is recently regarded as an intrinsic way to characterize the weight uncertainty of deep neural networks~(DNNs). Stochastic Gradient Langevin Dynamics~(SGLD)…