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07/20/2023
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors
As the physical size of recent CMOS image sensors (CIS) gets smaller, th...
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08/16/2022
Coil2Coil: Self-supervised MR image denoising using phased-array coil images
Denoising of magnetic resonance images is beneficial in improving the qu...
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05/10/2022
Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging
Regression that predicts continuous quantity is a central part of applic...
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12/23/2020
Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring
One of the key components for video deblurring is how to exploit neighbo...
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02/11/2020
Task-Aware Variational Adversarial Active Learning
Deep learning has achieved remarkable performance in various tasks thank...
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11/18/2019
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
Multi-scale (MS) approaches have been widely investigated for blind sing...
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09/16/2019
A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection
Recently, robotic grasp detection (GD) and object detection (OD) with re...
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03/25/2019
Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image Deblurring
Multi-scale approach has been used for blind image / video deblurring pr...
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12/19/2018
Rotation Ensemble Module for Detecting Rotation-Invariant Features
Deep learning has improved many computer vision tasks by utilizing data-...
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09/16/2018
Real-Time, Highly Accurate Robotic Grasp Detection using Fully Convolutional Neural Networks with High-Resolution Images
Robotic grasp detection for novel objects is a challenging task, but for...
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03/04/2018
