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Found 6 papers, 1 papers with code
Deep Optical Coding Design in Computational Imaging
The performance of COI systems highly depends on the design of its main components: the CE pattern and the computational method used to perform a given task.
From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy
To this end, we present a learnable optical compression-decompression framework that learns content-specific features.
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging
The trade-off between throughput and image quality is an inherent challenge in microscopy.
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope
Since the late 16th century, scientists have continuously innovated and developed new microscope types for various applications.
Towards Accurate Cross-Domain In-Bed Human Pose Estimation
Majority of the contactless human pose estimation algorithms are based on RGB modality, causing ineffectiveness in in-bed pose estimation due to occlusions by blankets and varying illumination conditions.
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds
Furthermore, our results show that individually collected ECG or PCG waveforms are able to provide transferable features which could effectively help to make use of a limited number of synchronized PCG and ECG waveforms and still achieve significant classification performance.
