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Found 7 papers, 0 papers with code
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.
Multispectral Illumination Estimation Using Deep Unrolling Network
This paper examines the problem of illumination spectra estimation in multispectral images.
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics
Imaging depth and spectrum have been extensively studied in isolation from each other for decades.
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems
Furthermore, we relate the denoising performance improvement by combining multiple models, to the image model relationships.
Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition
Subsequently, in temporal analysis, we use TCNs to extract temporal features and employ improved Squeeze-and-Excitation Networks (SENets) to strengthen the representational power of temporal features from each TCNs' layers.
GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems
A Generative Adversarial Network (GAN) with generator $G$ trained to model the prior of images has been shown to perform better than sparsity-based regularizers in ill-posed inverse problems.
Temporal Bilinear Networks for Video Action Recognition
Temporal modeling in videos is a fundamental yet challenging problem in computer vision.
