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08/28/2023
Online Continual Learning on Hierarchical Label Expansion
Continual learning (CL) enables models to adapt to new tasks and environ...
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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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04/07/2023
Neural Diffeomorphic Non-uniform B-spline Flows
Normalizing flows have been successfully modeling a complex probability ...
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04/06/2023
DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model
The increasing demand for high-quality 3D content creation has motivated...
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04/04/2023
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion
Recently, significant advancements have been made in 3D generative model...
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12/08/2022
On the Robustness of Normalizing Flows for Inverse Problems in Imaging
Conditional normalizing flows can generate diverse image samples for sol...
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11/29/2022
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
Recent 3D generative models have achieved remarkable performance in synt...
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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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07/04/2022
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT
The world has suffered from COVID-19 (SARS-CoV-2) for the last two years...
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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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08/29/2021
Rethinking Deep Image Prior for Denoising
Deep image prior (DIP) serves as a good inductive bias for diverse inver...
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02/04/2021
Image Restoration by Deep Projected GSURE
Ill-posed inverse problems appear in many image processing applications,...
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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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02/07/2019
Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images
Recently, Noise2Noise has been proposed for unsupervised training of dee...
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02/07/2019
Speeding up scaled gradient projection methods using deep neural networks for inverse problems in image processing
Conventional optimization based methods have utilized forward models wit...
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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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12/18/2018
SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network
Deep learning based single image super-resolution (SR) methods have been...
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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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06/04/2018
Simultaneous compressive image recovery and deep denoiser learning from undersampled measurements
Compressive image recovery utilizes sparse image priors such as wavelet ...
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03/04/2018
Classification based Grasp Detection using Spatial Transformer Network
Robotic grasp detection task is still challenging, particularly for nove...
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03/04/2018
