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Chengjun Xie

7 accepted papers

2026

Cross-Scale Pansharpening via ScaleFormer and the PanScale Benchmark

CVPR 2026

Pansharpening aims to generate high-resolution multi-spectral images by fusing the spatial detail of panchromatic images with the spectral richness of low-resolution MS data. However, most existing methods are evaluated under limited, low-resolution settings, limiting their generalization to real-wo

Cited by 0SourcecodeScholar
2026

SenseSearch: Empowering Vision-Language Models with High-Resolution Agentic Search-Reasoning via Reinforcement Learning

CVPR 2026

Vision-Language Models (VLMs) are limited by static knowledge and insufficient fine-grained visual analysis, hindering their performance on knowledge-intensive and visually complex tasks. While recent research has explored VLMs that employ external tools like search or cropping to enhance model perf

Cited by 0SourcecodeScholar
2024

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

AAAI 2024technical

RAW to sRGB mapping, which aims to convert RAW images from smartphones into RGB form equivalent to that of Digital Single-Lens Reflex (DSLR) cameras, has become an important area of research. However, current methods often ignore the difference between cell phone RAW images and DSLR camera RGB image…

2024

Frequency-Adaptive Pan-Sharpening with Mixture of Experts

AAAI 2024technical

Pan-sharpening involves reconstructing missing high-frequency information in multi-spectral images with low spatial resolution, using a higher-resolution panchromatic image as guidance. Although the inborn connection with frequency domain, existing pan-sharpening research has not almost investigated…

2022

Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network

NeurIPS 2022accept

Panchromatic (PAN) and multi-spectral (MS) image fusion, named Pan-sharpening, refers to super-resolve the low-resolution (LR) multi-spectral (MS) images in the spatial domain to generate the expected high-resolution (HR) MS images, conditioning on the corresponding high-resolution PAN images. In th…

Cited by 21SourcePDFScholar