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20242026
most citedAn Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Clouds

5 citations · 8 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CV2026

S3D-Mosaic: Subgradient-Guided Cross-Band Structure Transfer for Spectral Demosaicing

Weiqiang Zhao, Xian Li, Yuzhe Gui +2

Multispectral filter array (MSFA) imaging enables snapshot spectral acquisition, but its per-band sparse sampling causes severe spatial aliasing. Although missing spatial structure…

cs.CV2026

GeoRay: Gauge-Aware Feed-Forward Satellite 3D Reconstruction in the Geodetic Frame

Zhe Dong, Wanqing Wu, Yuzhe Sun +5

Feed-forward 3D foundation models reconstruct perspective scenes in one pass. Satellite photogrammetry needs a different product, one that domain adaptation alone does not deliver:…

cs.CV2026

ReLATE: Reliability-Guided Evidence Fusion for Robust UAV--Satellite cross-view Geo-Localization

Haochen Jiang, Jialei Pan, Yuzhe Sun +4

Unmanned aerial vehicle (UAV)-satellite cross-view geo-localization matches UAV images against satellite imagery and has achieved impressive accuracy on clean (non-degraded) image…

cs.CV2026

PF-Trans: Physics-Embedded Frequency-Aware Transformer for Spectral Reconstruction

Yuzhe Gui, Tianzhu Liu, Yanfeng Gu +1

Snapshot Broadband Filter Array (BFA) imaging provides high light throughput for spectral reconstruction but introduces severe spectral aliasing due to complex modulation. Current…

cs.CV2026

CroBIM-V: Memory-Quality Controlled Remote Sensing Referring Video Object Segmentation

H. Jiang, Y. Sun, Z. Dong +2

Remote sensing video referring object segmentation (RS-RVOS) is challenged by weak target saliency and severe visual information truncation in dynamic scenes, making it extremely d…

cs.CV2026

CroBIM-U: Uncertainty-Driven Referring Remote Sensing Image Segmentation

Yuzhe Sun, Zhe Dong, Haochen Jiang +2

Referring remote sensing image segmentation aims to localize specific targets described by natural language within complex overhead imagery. However, due to extreme scale variation…

cs.CV2025

PhyDAE: Physics-Guided Degradation-Adaptive Experts for All-in-One Remote Sensing Image Restoration

Zhe Dong, Yuzhe Sun, Haochen Jiang +2

Remote sensing images inevitably suffer from various degradation factors during acquisition, including atmospheric interference, sensor limitations, and imaging conditions. These c…

cs.CV2025

MFAF: An EVA02-Based Multi-scale Frequency Attention Fusion Method for Cross-View Geo-Localization

YiTong Liu, TianZhu Liu, YanFeng GU

Cross-view geo-localization aims to determine the geographical location of a query image by matching it against a gallery of images. This task is challenging due to the significant…

cs.CV2025

TV Subgradient-Guided Multi-Source Fusion for Spectral Imaging in Dual-Camera CASSI Systems

Weiqiang Zhao, Tianzhu Liu, Yuzhe Gui +2

Balancing spectral, spatial, and temporal resolutions is a key challenge in spectral imaging. The Dual-Camera Coded Aperture Snapshot Spectral Imaging (DC-CASSI) system alleviates…

cs.CV2025

HieraRS: A Hierarchical Segmentation Paradigm for Remote Sensing Enabling Multi-Granularity Interpretation and Cross-Domain Transfer

Tianlong Ai, Tianzhu Liu, Haochen Jiang +1

Hierarchical land cover and land use (LCLU) classification aims to assign pixel-wise labels with multiple levels of semantic granularity to remote sensing (RS) imagery. However, ex…

cs.CV2025

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models

Zhe Dong, Yuzhe Sun, Tianzhu Liu +1

Referring remote sensing image segmentation (RRSIS) enables the precise delineation of regions within remote sensing imagery through natural language descriptions, serving critical…

cs.CV2025

EarthMapper: Visual Autoregressive Models for Controllable Bidirectional Satellite-Map Translation

Zhe Dong, Yuzhe Sun, Tianzhu Liu +2

Satellite imagery and maps, as two fundamental data modalities in remote sensing, offer direct observations of the Earth's surface and human-interpretable geographic abstractions,…

cs.CV2024★ 5 cited

An Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Clouds

TianZhu Liu, BangYan Hu, YanFeng Gu +2

Multispectral point cloud (MPC) captures 3D spatial-spectral information from the observed scene, which can be used for scene understanding and has a wide range of applications. Ho…

cs.CV2024

Rethinking the Evaluation of Visible and Infrared Image Fusion

Dayan Guan, Yixuan Wu, Tianzhu Liu +2

Visible and Infrared Image Fusion (VIF) has garnered significant interest across a wide range of high-level vision tasks, such as object detection and semantic segmentation. Howeve…

cs.CV2024★ 3 cited

Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation

Zhe Dong, Yuzhe Sun, Tianzhu Liu +2

Given a natural language expression and a remote sensing image, the goal of referring remote sensing image segmentation (RRSIS) is to generate a pixel-level mask of the target obje…