1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
CMU-Flownet: Exploring Point Cloud Scene Flow Estimation in Occluded Scenario
Jingze Chen, Junfeng Yao, Qiqin Lin +1
Occlusions hinder point cloud frame alignment in LiDAR data, a challenge inadequately addressed by scene flow models tested mainly on occlusion-free datasets. Attempts to integrate…
eess.SP2023★ 1 cited
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification
Jie Jiao, Meiyan Xu, Qingqing Chen +2
There is a correlation between adjacent channels of electroencephalogram (EEG), and how to represent this correlation is an issue that is currently being explored. In addition, due…
cs.CL2023
Revisiting Non-Autoregressive Translation at Scale
Zhihao Wang, Longyue Wang, Jinsong Su +2
In real-world systems, scaling has been critical for improving the translation quality in autoregressive translation (AT), which however has not been well studied for non-autoregre…