29 citations · 35 across the 9 of their papers we have counts for
7 papers · 1 filter
DReg-NeRF: Deep Registration for Neural Radiance Fields
Yu Chen, Gim Hee Lee
Although Neural Radiance Fields (NeRF) is popular in the computer vision community recently, registering multiple NeRFs has yet to gain much attention. Unlike the existing work, Ne…
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
Yu Chen, Gim Hee Lee
Recent works such as BARF and GARF can bundle adjust camera poses with neural radiance fields (NeRF) which is based on coordinate-MLPs. Despite the impressive results, these method…
AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion
Yu Chen, Zihao Yu, Shu Song +3
Despite the impressive results achieved by many existing Structure from Motion (SfM) approaches, there is still a need to improve the robustness, accuracy, and efficiency on large-…
Spacecraft depth completion based on the gray image and the sparse depth map
Xiang Liu, Hongyuan Wang, Zhiqiang Yan +3
Perceiving the three-dimensional (3D) structure of the spacecraft is a prerequisite for successfully executing many on-orbit space missions, and it can provide critical input for m…
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation
Yu Chen, Xu Cao, Xiaoyi Lin +4
Accurate motion and depth recovery is important for many robot vision tasks including autonomous driving. Most previous studies have achieved cooperative multi-task interaction via…
Action Recognition based on Cross-Situational Action-object Statistics
Satoshi Tsutsui, Xizi Wang, Guangyuan Weng +3
Machine learning models of visual action recognition are typically trained and tested on data from specific situations where actions are associated with certain objects. It is an o…