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Found 6 papers, 1 papers with code
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution
Single image super-resolution (SISR) has experienced significant advancements, primarily driven by deep convolutional networks.
Deep Learning-based Synthetic High-Resolution In-Depth Imaging Using an Attachable Dual-element Endoscopic Ultrasound Probe
The obtained results demonstrate that our proposed dual-element EUS probe with an image-to-image translation network has the potential to provide synthetic high-frequency ultrasound images deep inside tissues.
Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach
Our main idea is to generate multiple incomplete point clouds of various poses and integrate them into a complete point cloud.
High-level synthesis design of scalable ultrafast ultrasound beamformer with single FPGA
Ultrafast ultrasound imaging is essential for advanced ultrasound imaging techniques such as ultrasound localization microscopy (ULM) and functional ultrasound (fUS).
6MapNet: Representing soccer players from tracking data by a triplet network
Although the values of individual soccer players have become astronomical, subjective judgments still play a big part in the player analysis.
Two-stage generative adversarial networks for document image binarization with color noise and background removal
Document image enhancement and binarization methods are often used to improve the accuracy and efficiency of document image analysis tasks such as text recognition.
Ranked #1 on
Binarization
on LRDE DBD
