Jure Žbontar
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction
2021/03/04 by Jure Žbontar, Jing Li, Zbontar, Jure +7 · 176 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
- fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
2018/11/21 by Jure Žbontar, Zbontar, Jure, Florian Knöll +47 · 68 citations
Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #Signal Processing (eess.SP) #electronic engineering #information engineering
- Implicit Rank-Minimizing Autoencoder
2020/10/01 by Jing Li, Jure Žbontar, Jing, Li +3 · 4 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
- GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil\n MRI Reconstruction
2019/10/27 by Anuroop Sriram, Jure Žbontar, Sriram, Anuroop +9 · 3 citations
Engineering · Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering