2 papers
cs.CV2023
Open-world Semi-supervised Novel Class Discovery
Jiaming Liu, Yangqiming Wang, Tongze Zhang +3
Traditional semi-supervised learning tasks assume that both labeled and unlabeled data follow the same class distribution, but the realistic open-world scenarios are of more comple…
eess.IV2022
Deep Model-Based Architectures for Inverse Problems under Mismatched Priors
Shirin Shoushtari, Jiaming Liu, Yuyang Hu +1
There is a growing interest in deep model-based architectures (DMBAs) for solving imaging inverse problems by combining physical measurement models and learned image priors specifi…