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09/03/2023
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
Magnetic resonance imaging (MRI) tasks often involve multiple contrasts....
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03/23/2023
CP^3: Channel Pruning Plug-in for Point-based Networks
Channel pruning can effectively reduce both computational cost and memor...
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11/22/2022
Flow Guidance Deformable Compensation Network for Video Frame Interpolation
Motion-based video frame interpolation (VFI) methods have made remarkabl...
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07/24/2022
Label-Guided Auxiliary Training Improves 3D Object Detector
Detecting 3D objects from point clouds is a practical yet challenging ta...
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04/29/2022
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation
Single image denoising (SID) has achieved significant breakthroughs with...
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12/13/2021
Hybrid Atlas Building with Deep Registration Priors
Registration-based atlas building often poses computational challenges i...
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11/30/2021
Contrastive Learning for Local and Global Learning MRI Reconstruction
Magnetic Resonance Imaging (MRI) is an important medical imaging modalit...
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08/20/2021
Structure-Preserving Deraining with Residue Channel Prior Guidance
Single image deraining is important for many high-level computer vision ...
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06/02/2021
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
Under stereo settings, the problem of image super-resolution (SR) and di...
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02/24/2021
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Single image dehazing is a challenging ill-posed problem that has drawn ...
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12/31/2020
Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray
In recent years, the prevalence of several pulmonary diseases, especiall...
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08/30/2020
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Convolutional neural networks have been proven to be of great benefit fo...
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03/14/2020
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation
Automated tongue image segmentation in tongue images is a challenging ta...
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09/13/2019
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
We propose a scheme for defending against adversarial attacks by suppres...
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10/09/2018
The Adversarial Attack and Detection under the Fisher Information Metric
Many deep learning models are vulnerable to the adversarial attack, i.e....
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08/03/2017
