Search Results for author: Huanyu Zhou

Found 6 papers, 5 papers with code

4DRVO-Net: Deep 4D Radar-Visual Odometry Using Multi-Modal and Multi-Scale Adaptive Fusion

no code implementations12 Aug 2023 Guirong Zhuo, Shouyi Lu, Huanyu Zhou, Lianqing Zheng, Lu Xiong

We demonstrate the excellent performance of our method and the effectiveness of each module design on both the VoD and in-house datasets.

Pose Estimation Visual Odometry

PanFormer: a Transformer Based Model for Pan-sharpening

1 code implementation6 Mar 2022 Huanyu Zhou, Qingjie Liu, Yunhong Wang

Pan-sharpening aims at producing a high-resolution (HR) multi-spectral (MS) image from a low-resolution (LR) multi-spectral (MS) image and its corresponding panchromatic (PAN) image acquired by a same satellite.

Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening

1 code implementation20 Sep 2021 Huanyu Zhou, Qingjie Liu, Dawei Weng, Yunhong Wang

Most of existing methods fall into the supervised learning framework in which they down-sample the multi-spectral (MS) and panchromatic (PAN) images and regard the original MS images as ground truths to form training samples.

PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening

1 code implementation16 Dec 2020 Huanyu Zhou, Qingjie Liu, Yunhong Wang

However, since there are no intended HR MS images as references for learning, almost all of the existing methods down-sample the MS and PAN images and regard the original MS images as targets to form a supervised setting for training.

PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

1 code implementation9 May 2018 Qingjie Liu, Huanyu Zhou, Qizhi Xu, Xiangyu Liu, Yunhong Wang

This paper addresses the problem of remote sensing image pan-sharpening from the perspective of generative adversarial learning.

Generative Adversarial Network

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