Kaiwen Zha

Transformer Model Detects Antidepressant Use From a Single Night of Sleep, Unlocking an Adherence Biomarker

Ali Mirzazadeh, Simon Cadavid, Kaiwen Zha, Chao Li et autres

Antidepressant nonadherence is pervasive, driving relapse, hospitalization, suicide risk, and billions in avoidable costs. Clinicians need tools that detect adherence lapses promptly, yet current methods are either invasive (serum assays, neuroimaging) or proxy-based and inaccurate (pill counts, pharmacy refills). We present the …

Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning

Bo Pang, Yizhuo Li, Yifan Zhang, Peng Gao et autres

We study the unsupervised representation learning for the semantic segmentation task. Different from previous works that aim at providing unsupervised pre-trained backbones for segmentation models which need further supervised fine-tune, here, we focus on providing representation that is only trained by unsupervised …

cn, us (code pays fourni par la source)

CornerRadar

Shichao Yue, He Hao, Peng Cao, Kaiwen Zha et autres

Unmanned robots are increasingly used around humans in factories, malls, and hotels. As they navigate our space, it is important to ensure that such robots do not collide with people who suddenly appear as they turn a corner. Today, however, there is …

us, jp (code pays fourni par la source)