3 citations · 9 across the 13 of their papers we have counts for
6 papers · 1 filter
Language as an Anchor: Preserving Relative Visual Geometry for Domain Incremental Learning
Shuyi Geng, Tao Zhou, Yi Zhou
A key challenge in Domain Incremental Learning (DIL) is to continually learn under shifting distributions while preserving knowledge from previous domains. Existing methods face a…
Curvilinear Structure-preserving Unpaired Cross-domain Medical Image Translation
Zihao Chen, Yi Zhou, Xudong Jiang +4
Unpaired image-to-image translation has emerged as a crucial technique in medical imaging, enabling cross-modality synthesis, domain adaptation, and data augmentation without costl…
AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection
Dongwei Ji, Bingzhang Hu, Yi Zhou
Industrial anomaly detection (IAD) is critical for manufacturing quality control, but conventionally requires significant manual effort for various application scenarios. This pape…
Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities
Yuang Yao, Ruiqi Wu, Yi Zhou +1
Traditional fundus image analysis models focus on single-modal tasks, ignoring fundus modality complementarity, which limits their versatility. Recently, retinal foundation models…
MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining
Ruiqi Wu, Na Su, Chenran Zhang +10
Vision-language pretraining (VLP) has been investigated to generalize across diverse downstream tasks for fundus image analysis. Although recent methods showcase promising achievem…
A Post-Processing-Based Fair Federated Learning Framework
Yi Zhou, Naman Goel
Federated Learning (FL) allows collaborative model training among distributed parties without pooling local datasets at a central server. However, the distributed nature of FL pose…