activity
20212025
most citedRemote Sensing Image Change Detection with Transformers

1.2k citations · 1.3k across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

BlockGaussian: Efficient Large-Scale Scene Novel View Synthesis via Adaptive Block-Based Gaussian Splatting

Yongchang Wu, Zipeng Qi, Zhenwei Shi +1

The recent advancements in 3D Gaussian Splatting (3DGS) have demonstrated remarkable potential in novel view synthesis tasks. The divide-and-conquer paradigm has enabled large-scal…

cs.CV2024

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation

Zipeng Qi, Hao Chen, Haotian Zhang +2

In this paper, we propose a novel semantic splatting approach based on Gaussian Splatting to achieve efficient and low-latency. Our method projects the RGB attributes and semantic…

cs.CV2024

Multi-view Remote Sensing Image Segmentation With SAM priors

Zipeng Qi, Chenyang Liu, Zili Liu +4

Multi-view segmentation in Remote Sensing (RS) seeks to segment images from diverse perspectives within a scene. Recent methods leverage 3D information extracted from an Implicit N…

cs.CV2024★ 71 cited

Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis

Chenyang Liu, Keyan Chen, Haotian Zhang +3

Monitoring changes in the Earth's surface is crucial for understanding natural processes and human impacts, necessitating precise and comprehensive interpretation methodologies. Re…

cs.CV2024

Learning to detect cloud and snow in remote sensing images from noisy labels

Zili Liu, Hao Chen, Wenyuan Li +5

Detecting clouds and snow in remote sensing images is an essential preprocessing task for remote sensing imagery. Previous works draw inspiration from semantic segmentation models…

cs.CV2023

Pixel-Level Change Detection Pseudo-Label Learning for Remote Sensing Change Captioning

Chenyang Liu, Keyan Chen, Zipeng Qi +3

The existing methods for Remote Sensing Image Change Captioning (RSICC) perform well in simple scenes but exhibit poorer performance in complex scenes. This limitation is primarily…

cs.CV2023

Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis

Zipeng Qi, Guoxi Huang, Chenyang Liu +1

This paper introduces innovative solutions to enhance spatial controllability in diffusion models reliant on text queries. We first introduce vision guidance as a foundational spat…

cs.CV2023★ 18 cited

Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation

Zipeng Qi, Hao Chen, Chenyang Liu +2

The mainstream CNN-based remote sensing (RS) image semantic segmentation approaches typically rely on massive labeled training data. Such a paradigm struggles with the problem of R…

cs.CV2023★ 3 cited

Progressive Scale-aware Network for Remote sensing Image Change Captioning

Chenyang Liu, Jiajun Yang, Zipeng Qi +2

Remote sensing (RS) images contain numerous objects of different scales, which poses significant challenges for the RS image change captioning (RSICC) task to identify visual chang…

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…