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Found 8 papers, 4 papers with code
Leveraging Video Coding Knowledge for Deep Video Enhancement
Recent advancements in deep learning techniques have significantly improved the quality of compressed videos.
Human-Imperceptible Identification with Learnable Lensless Imaging
Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject but contain enough information for machines to infer information.
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
This challenge includes three tracks.
Multi-Scale Deep Compressive Imaging
Recently, deep learning-based compressive imaging (DCI) has surpassed the conventional compressive imaging in reconstruction quality and faster running time.
Restricted Structural Random Matrix for Compressive Sensing
RSRM acquired compressive measurements with random projection (equally important) of multiple randomly sub-sampled signals, which was restricted to be the low-resolution signals (equal in energy), thereby, its observations are equally important.
Power Control in Cellular Massive MIMO with Varying User Activity: A Deep Learning Solution
We first consider the sum spectral efficiency (SE) optimization problem for systems with a dynamically varying number of active users.
Information Theory Information Theory
Multi-Scale Deep Compressive Sensing Network
With joint learning of sampling and recovery, the deep learning-based compressive sensing (DCS) has shown significant improvement in performance and running time reduction.
Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary
The multiple sub-dictionaries contained in the higher order dictionary decorrelate the group in each corresponding dimension, thus help the detail of color images to be reconstructed better.
