1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics
Mingcheng Qu, Yuncong Wu, Donglin Di +4
Spatial transcriptomics (ST) has emerged as an advanced technology that provides spatial context to gene expression. Recently, deep learning-based methods have shown the capability…
cs.CV2024★ 1 cited
Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding
Minghui Wu, Chenxu Zhao, Anyang Su +8
Understanding of video creativity and content often varies among individuals, with differences in focal points and cognitive levels across different ages, experiences, and genders.…
cs.CV2024
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
Yun Liang, Zhiguang Hu, Junjie Huang +3
Current unsupervised anomaly detection approaches perform well on public datasets but struggle with specific anomaly types due to the domain gap between pre-trained feature extract…