120 citations · 223 across the 24 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2023
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels
Kuangdai Leng, Jeyan Thiyagalingam
Convolution is a fundamental operation in image processing and machine learning. Aimed primarily at maintaining image size, padding is a key ingredient of convolution, which, howev…
cs.CV2022★ 1 cited
Affinity-VAE: incorporating prior knowledge in representation learning from scientific images
Marjan Famili, Jola Mirecka, Camila Rangel Smith +8
Learning compact and interpretable representations of data is a critical challenge in scientific image analysis. Here, we introduce Affinity-VAE, a generative model that enables us…