72 citations · 199 across the 12 of their papers we have counts for
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cs.CV2023★ 1 cited
BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives
Sainan Liu, Shan Lin, Jingpei Lu +2
Implicit neural representations have become pivotal in robotic perception, enabling robots to comprehend 3D environments from 2D images. Given a set of camera poses and associated…
eess.IV2023
ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Images
Xiao Liang, Shan Lin, Fei Liu +2
Deformable Image Registration (DIR) plays a significant role in quantifying deformation in medical data. Recent Deep Learning methods have shown promising accuracy and speedup for…
cs.CV2023★ 1 cited
SemHint-MD: Learning from Noisy Semantic Labels for Self-Supervised Monocular Depth Estimation
Shan Lin, Yuheng Zhi, Michael C. Yip
Without ground truth supervision, self-supervised depth estimation can be trapped in a local minimum due to the gradient-locality issue of the photometric loss. In this paper, we p…