341 citations · 476 across the 5 of their papers we have counts for
5 papers
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang, Huiye Liu, Qiang Hu
Medical image segmentation - the prerequisite of numerous clinical needs - has been significantly prospered by recent advances in convolutional neural networks (CNNs). However, it…
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation
Yundong Zhang, Hang Wu, Huiye Liu +2
Deep Learning has thrived on the emergence of biomedical big data. However, medical datasets acquired at different institutions have inherent bias caused by various confounding fac…
Robust and High Performance Face Detector
Yundong Zhang, Xiang Xu, Xiaotao Liu
In recent years, face detection has experienced significant performance improvement with the boost of deep convolutional neural networks. In this report, we reimplement the state-o…
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining
Yundong Zhang, Juan Carlos Niebles, Alvaro Soto
A key aspect of VQA models that are interpretable is their ability to ground their answers to relevant regions in the image. Current approaches with this capability rely on supervi…
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang, Naveen Suda, Liangzhen Lai +1
Keyword spotting (KWS) is a critical component for enabling speech based user interactions on smart devices. It requires real-time response and high accuracy for good user experien…