Search Results for author: Chao Ren

Found 15 papers, 5 papers with code

CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks

no code implementations19 Sep 2017 Honggang Chen, Xiaohai He, Chao Ren, Linbo Qing, Qizhi Teng

Experiments on compressed images produced by JPEG (we take the JPEG as an example in this paper) demonstrate that the proposed CISRDCNN yields state-of-the-art SR performance on commonly used test images and imagesets.

Image Super-Resolution

Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis

no code implementations27 Jan 2021 Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen

Clinical diagnosis, which aims to assign diagnosis codes for a patient based on the clinical note, plays an essential role in clinical decision-making.

Decision Making

Real-World Single Image Super-Resolution: A Brief Review

1 code implementation3 Mar 2021 Honggang Chen, Xiaohai He, Linbo Qing, Yuanyuan Wu, Chao Ren, Ce Zhu

More specifically, this review covers the critical publically available datasets and assessment metrics for RSISR, and four major categories of RSISR methods, namely the degradation modeling-based RSISR, image pairs-based RSISR, domain translation-based RSISR, and self-learning-based RSISR.

Computational Efficiency Image Super-Resolution +2

Multi-resolution Outlier Pooling for Sorghum Classification

no code implementations10 Jun 2021 Chao Ren, Justin Dulay, Gregory Rolwes, Duke Pauli, Nadia Shakoor, Abby Stylianou

Automated high throughput plant phenotyping involves leveraging sensors, such as RGB, thermal and hyperspectral cameras (among others), to make large scale and rapid measurements of the physical properties of plants for the purpose of better understanding the difference between crops and facilitating rapid plant breeding programs.

Plant Phenotyping

Adaptive Consistency Prior Based Deep Network for Image Denoising

1 code implementation CVPR 2021 Chao Ren, Xiaohai He, Chuncheng Wang, Zhibo Zhao

To solve this problem, we propose a novel model-based denoising method to inform the design of our denoising network.

Image Denoising

Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation

1 code implementation CVPR 2023 Yuwei Yang, Munawar Hayat, Zhao Jin, Chao Ren, Yinjie Lei

Despite the significant recent progress made on 3D point cloud semantic segmentation, the current methods require training data for all classes at once, and are not suitable for real-life scenarios where new categories are being continuously discovered.

Class-Incremental Semantic Segmentation

Unlocking Low-Light-Rainy Image Restoration by Pairwise Degradation Feature Vector Guidance

no code implementations6 May 2023 Xin Lin, Jingtong Yue, Sixian Ding, Chao Ren, Chun-Le Guo, Chongyi Li

P-Net can learn degradation feature vectors on the dark and light areas separately, using contrastive learning to guide the image restoration process.

Autonomous Driving Contrastive Learning +2

Towards Quantum Federated Learning

no code implementations16 Jun 2023 Chao Ren, Han Yu, Rudai Yan, Minrui Xu, Yuan Shen, Huihui Zhu, Dusit Niyato, Zhao Yang Dong, Leong Chuan Kwek

This review serves as a first-of-its-kind comprehensive guide for researchers and practitioners interested in understanding and advancing the field of QFL.

Federated Learning

Random Sub-Samples Generation for Self-Supervised Real Image Denoising

1 code implementation ICCV 2023 Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren

With sufficient paired training samples, the supervised deep learning methods have attracted much attention in image denoising because of their superior performance.

Image Denoising

Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images

no code implementations10 Aug 2023 Yanteng Zhang, Qizhi Teng, Xiaohai He, Tong Niu, Lipei Zhang, Yan Liu, Chao Ren

Structural MRI and PET imaging play an important role in the diagnosis of Alzheimer's disease (AD), showing the morphological changes and glucose metabolism changes in the brain respectively.

Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches

1 code implementation ICCV 2023 Xin Lin, Chao Ren, Xiao Liu, Jie Huang, Yinjie Lei

Although unsupervised approaches based on generative adversarial networks offer a promising solution for denoising without paired datasets, they are difficult in surpassing the performance limitations of conventional GAN-based unsupervised frameworks without significantly modifying existing structures or increasing the computational complexity of denoisers.

Image Denoising

Multi-task Image Restoration Guided By Robust DINO Features

no code implementations4 Dec 2023 Xin Lin, Chao Ren, Kelvin C. K. Chan, Lu Qi, Jinshan Pan, Ming-Hsuan Yang

Multi-task image restoration has gained significant interest due to its inherent versatility and efficiency compared to its single-task counterpart.

Image Restoration

Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks

no code implementations14 Mar 2024 Yulan Gao, Chao Ren, Han Yu

In the rapidly advancing field of federated learning (FL), ensuring efficient FL task delegation while incentivising FL client participation poses significant challenges, especially in wireless networks where FL participants' coverage is limited.

Fairness Federated Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.