Search Results for author: Leyuan Fang

Found 21 papers, 11 papers with code

Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation

1 code implementation9 Jan 2024 Linshan Wu, Ming Lu, Leyuan Fang

Compared with the existing category alignment methods, our CR aims to regularize the correlation between different dimensions of the features and thus performs more robustly when dealing with the divergent category features of imbalanced and inconsistent distributions.

Image Segmentation Segmentation +1

Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation

no code implementations11 Dec 2023 Shaobo Xia, Jun Yue, Kacper Kania, Leyuan Fang, Andrea Tagliasacchi, Kwang Moo Yi, Weiwei Sun

We propose a weakly supervised semantic segmentation method for point clouds that predicts "per-point" labels from just "whole-scene" annotations while achieving the performance of recent fully supervised approaches.

Clustering Point Cloud Segmentation +3

Physics Inspired Criterion for Pruning-Quantization Joint Learning

1 code implementation1 Dec 2023 Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li, Jie Lei, Leyuan Fang

Pruning-quantization joint learning always facilitates the deployment of deep neural networks (DNNs) on resource-constrained edge devices.

Image Classification Model Compression +1

FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion

1 code implementation16 Nov 2023 Daixun Li, Weiying Xie, Yunsong Li, Leyuan Fang

Multi-satellite, multi-modality in-orbit fusion is a challenging task as it explores the fusion representation of complex high-dimensional data under limited computational resources.

Edge-computing Federated Learning

FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

no code implementations16 Nov 2023 Daixun Li, Weiying Xie, Zixuan Wang, YiBing Lu, Yunsong Li, Leyuan Fang

With the rapid development of imaging sensor technology in the field of remote sensing, multi-modal remote sensing data fusion has emerged as a crucial research direction for land cover classification tasks.

Denoising Federated Learning +2

BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection

1 code implementation19 Jul 2023 Jitao Ma, Weiying Xie, Yunsong Li, Leyuan Fang

We present a novel solution BSDM (background suppression diffusion model) for HAD, which can simultaneously learn latent background distributions and generalize to different datasets for suppressing complex background.

Anomaly Detection Denoising

SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models

1 code implementation12 Apr 2023 Ning Chen, Jun Yue, Leyuan Fang, Shaobo Xia

The framework consists of a spectral-spatial diffusion module, and an attention-based classification module.

Classification Denoising +1

Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models

no code implementations19 Jan 2023 Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma

In specific, instead of converting multi-channel images into single-channel data in existing fusion methods, we create the multi-channel data distribution with a denoising network in a latent space with forward and reverse diffusion process.

Denoising Infrared And Visible Image Fusion

Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution

1 code implementation CVPR 2023 Weiying Xie, Kai Jiang, Yunsong Li, Jie Lei, Leyuan Fang, Wen-jin Guo

Specifically, we create a positive cycle between fusion and degradation estimation under a new probabilistic framework.

Super-Resolution

Robust and Scalable Gaussian Process Regression and Its Applications

1 code implementation CVPR 2023 Yifan Lu, Jiayi Ma, Leyuan Fang, Xin Tian, Junjun Jiang

This enables the application of Gaussian processes to a wide range of real data, which are often large-scale and contaminated by outliers.

GPR Imputation +2

Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures

1 code implementation CVPR 2023 Linshan Wu, Zhun Zhong, Leyuan Fang, Xingxin He, Qiang Liu, Jiayi Ma, Hao Chen

Our AGMM can effectively endow reliable supervision for unlabeled pixels based on the distributions of labeled and unlabeled pixels.

Contrastive Learning Semantic Segmentation

Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives

no code implementations18 Apr 2022 Jun Yue, Leyuan Fang, Pedram Ghamisi, Weiying Xie, Jun Li, Jocelyn Chanussot, Antonio J Plaza

Therefore, remote sensing image understanding often faces the problems of incomplete, inexact, and inaccurate supervised information, which will affect the breadth and depth of remote sensing applications.

Change Detection Image Classification +4

Peng Cheng Object Detection Benchmark for Smart City

no code implementations11 Mar 2022 YaoWei Wang, Zhouxin Yang, Rui Liu, Deng Li, Yuandu Lai, Leyuan Fang, Yahong Han

Considering the diversity and complexity of scenes in intelligent city governance, we build a large-scale object detection benchmark for the smart city.

Object object-detection +1

NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery

no code implementations10 Jan 2022 Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi

Therefore, we study how to utilize point labels to extract water bodies and propose a novel method called the neighbor feature aggregation network (NFANet).

LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes

no code implementations24 Nov 2021 Jiahui Ni, Zhimin Shao, Zhongzhou Zhang, Mingzheng Hou, Jiliu Zhou, Leyuan Fang, Yi Zhang

In addition, a novel hybrid loss function is proposed to constrain both spatial and spectral consistency between the pansharpened image and the PAN and LRMS images at different resolutions.

Pansharpening

RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images

2 code implementations27 Oct 2021 Runmin Cong, Yumo Zhang, Leyuan Fang, Jun Li, Yao Zhao, Sam Kwong

Salient object detection (SOD) for optical remote sensing images (RSIs) aims at locating and extracting visually distinctive objects/regions from the optical RSIs.

object-detection Object Detection +2

Multiscale Sparsifying Transform Learning for Image Denoising

1 code implementation25 Mar 2020 Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Neda Noormohammadi, Yi Zhang

The data-driven sparse methods such as synthesis dictionary learning (e. g., K-SVD) and sparsifying transform learning have been proven effective in image denoising.

Dictionary Learning Image Denoising

Deep Learning for Hyperspectral Image Classification: An Overview

no code implementations26 Oct 2019 Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson

Specifically, we first summarize the main challenges of HSI classification which cannot be effectively overcome by traditional machine learning methods, and also introduce the advantages of deep learning to handle these problems.

BIG-bench Machine Learning Classification +2

Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks

no code implementations22 Nov 2018 Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Yi Zhang

In recent years, there has been a growing interest in applying convolutional neural networks (CNNs) to low-level vision tasks such as denoising and super-resolution.

Image Denoising Super-Resolution

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