1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning
Qing Miao, Xiaohe Wu, Chao Xu +4
Learning with noisy labels (LNL) has been extensively studied, with existing approaches typically following a framework that alternates between clean sample selection and semi-supe…
eess.SP2022★ 1 cited
Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEG
Gao Xueqi, Xu Chao, Song Yihang +3
Road rage is a social problem that deserves attention, but little research has been done so far. In this paper, based on the biological topology of multi-channel EEG signals,we pro…
cs.CV2021
Multi-View Stereo Network with attention thin volume
Zihang Wan
We propose an efficient multi-view stereo (MVS) network for infering depth value from multiple RGB images. Recent studies have shown that mapping the geometric relationship in real…