activity
20192022
most citedRemote Sensing Image Change Detection with Transformers

1.2k citations · 1.9k across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2022★ 20 cited

Remote Sensing Novel View Synthesis with Implicit Multiplane Representations

Yongchang Wu, Zhengxia Zou, Zhenwei Shi

Novel view synthesis of remote sensing scenes is of great significance for scene visualization, human-computer interaction, and various downstream applications. Despite the recent…

cs.CV2022★ 53 cited

Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection

Hao Chen, Wenyuan Li, Song Chen +1

Supervised deep learning models depend on massive labeled data. Unfortunately, it is time-consuming and labor-intensive to collect and annotate bitemporal samples containing desire…

cs.LG2022★ 40 cited

Dual-Branched Spatio-temporal Fusion Network for Multi-horizon Tropical Cyclone Track Forecast

Zili Liu, Kun Hao, Xiaoyi Geng +1

Tropical cyclone (TC) is an extreme tropical weather system and its trajectory can be described by a variety of spatio-temporal data. Effective mining of these data is the key to a…

cs.CV2022

Semantic decoupled representation learning for remote sensing image change detection

Hao Chen, Yifan Zao, Liqin Liu +2

Contemporary transfer learning-based methods to alleviate the data insufficiency in change detection (CD) are mainly based on ImageNet pre-training. Self-supervised learning (SSL)…

cs.CV2021★ 3 cited

Geographical Knowledge-driven Representation Learning for Remote Sensing Images

Wenyuan Li, Keyan Chen, Hao Chen +1

The proliferation of remote sensing satellites has resulted in a massive amount of remote sensing images. However, due to human and material resource constraints, the vast majority…

eess.IV2021

Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery

Zhenjie Tang, Qing Xu, Zhenwei Shi +1

With the development of deep learning technology, multi-spectral image super-resolution methods based on convolutional neural network have recently achieved great progress. However…

cs.CV2021★ 1.2k cited

Remote Sensing Image Change Detection with Transformers

Hao Chen, Zipeng Qi, Zhenwei Shi

Modern change detection (CD) has achieved remarkable success by the powerful discriminative ability of deep convolutions. However, high-resolution remote sensing CD remains challen…

cs.CV2020

NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram

Zhengxia Zou, Tianyang Shi, Yi Yuan +1

An autostereogram, a.k.a. magic eye image, is a single-image stereogram that can create visual illusions of 3D scenes from 2D textures. This paper studies an interesting question t…

cs.CV2020★ 1 cited

Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation

Tianyang Shi, Zhengxia Zou, Yi Yuan +1

With the rapid development of Role-Playing Games (RPGs), players are now allowed to edit the facial appearance of their in-game characters with their preferences rather than using…

cs.CV2019★ 559 cited

Object Detection in 20 Years: A Survey

Zhengxia Zou, Keyan Chen, Zhenwei Shi +2

Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. Over the past two decades, we have seen…