6 citations · 7 across the 3 of their papers we have counts for
3 papers
ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure
Hongzhi Zhu, Robert Rohling, Septimiu Salcudean
Deep learning, especially convolutional neural networks, has triggered accelerated advancements in computer vision, bringing changes into our daily practice. Furthermore, the stand…
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images
Hongzhi Zhu, Robert Rohling, Septimiu Salcudean
Human visual attention has recently shown its distinct capability in boosting machine learning models. However, studies that aim to facilitate medical tasks with human visual atten…
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification
Hongzhi Zhu, Septimiu Salcudean, Robert Rohling
The increased availability and accuracy of eye-gaze tracking technology has sparked attention-related research in psychology, neuroscience, and, more recently, computer vision and…