Search Results for author:
Found 5 papers, 0 papers with code
Multi-scale frequency separation network for image deblurring
MSFS-Net introduces the frequency separation module (FSM) into an encoder-decoder network architecture to capture the low- and high-frequency information of image at multiple scales.
ISP-Agnostic Image Reconstruction for Under-Display Cameras
To obtain large quantities of real under-display camera training data with sufficient contrast and scene diversity, we furthermore develop a data capture method utilizing an HDR monitor, as well as a data augmentation method to generate suitable HDR content.
Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering
Simultaneous reconstruction of geometry and reflectance properties in uncontrolled environments remains a challenging problem.
Image deblurring based on lightweight multi-information fusion network
In the encoding stage, the image feature is reduced to various smallscale spaces for multi-scale information extraction and fusion without a large amount of information loss.
Making Study Populations Visible through Knowledge Graphs
To address these challenges, we develop an ontology-enabled prototype system, which exposes the population descriptions in research studies in a declarative manner, with the ultimate goal of allowing medical practitioners to better understand the applicability and generalizability of treatment recommendations.
