11 citations · 50 across the 16 of their papers we have counts for
18 papers
Generalized Minimum Error with Fiducial Points Criterion for Robust Learning
Haiquan Zhao, Yuan Gao, Yingying Zhu
The conventional Minimum Error Entropy criterion (MEE) has its limitations, showing reduced sensitivity to error mean values and uncertainty regarding error probability density fun…
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning
Mengliang Zhang, Xinyue Hu, Lin Gu +5
Patients undergoing chest X-rays (CXR) often endure multiple lung diseases. When evaluating a patient's condition, due to the complex pathologies, subtle texture changes of differe…
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning
Xinyue Hu, Lin Gu, Kazuma Kobayashi +6
Medical visual question answering (VQA) aims to answer clinically relevant questions regarding input medical images. This technique has the potential to improve the efficiency of m…
Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
Yingying Zhu, Hongji Yang, Yuxin Lu +1
In this work, we aim at an important but less explored problem of a simple yet effective backbone specific for cross-view geo-localization task. Existing methods for cross-view geo…
Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework
Liangchen Liu, Qiuhong Ke, Chaojie Li +2
Spectral clustering is an effective methodology for unsupervised learning. Most traditional spectral clustering algorithms involve a separate two-step procedure and apply the trans…
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation
Xinyue Hu, Lin Gu, Liangchen Liu +4
Existing video domain adaption (DA) methods need to store all temporal combinations of video frames or pair the source and target videos, which are memory cost expensive and can't…