654 citations · 1.9k across the 149 of their papers we have counts for
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Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects
Le Zhang, Ao Li, Qibin Hou +2
Super-resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-q…
Real-Time Model-Based Quantitative Ultrasound and Radar
Tom Sharon, Yonina C. Eldar
Ultrasound and radar signals are highly beneficial for medical imaging as they are non-invasive and non-ionizing. Traditional imaging techniques have limitations in terms of contra…
Pragmatic Communication in Multi-Agent Collaborative Perception
Yue Hu, Xianghe Pang, Xiaoqi Qin +4
Collaborative perception allows each agent to enhance its perceptual abilities by exchanging messages with others. It inherently results in a trade-off between perception ability a…
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Geon Park, Jaehong Yoon, Haiyang Zhang +3
Neural network quantization aims to transform high-precision weights and activations of a given neural network into low-precision weights/activations for reduced memory usage and c…
Sparsity-Based Super Resolution for SEM Images
Shahar Tsiper, Or Dicker, Idan Kaizerman +3
The scanning electron microscope (SEM) produces an image of a sample by scanning it with a focused beam of electrons. The electrons interact with the atoms in the sample, which emi…