537 citations · 795 across the 13 of their papers we have counts for
14 papers
Dual-Domain Manifold Modeling for Hyperspectral Image Fusion
Chengxin Xie, Qiya Song, Yangbangyan Jiang +2
Achieving a coherent integration of spectral richness and spatial fidelity remains a central objective in hyperspectral image fusion. However, existing hyperspectral image fusion m…
Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose?
Qiwei Ma, Chunping Qiu, Xinjun Cheng +5
The rapid development of multimodal large language models (MLLMs) has introduced a flexible paradigm for remote sensing image scene understanding (RSISU), enabling natural-language…
Not All Patches are Equal: Sampling Matters for Visible-Infrared Pre-Training
Qiwei Ma, Bin Deng, Junjie Zhu +5
Visible-infrared (VIS-IR) alignment is a key pre-training task for robust multi-sensor perception. Most existing methods use uniform patch-wise contrastive learning, but this can b…
Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding
Chang Liu, Henghui Ding, Nikhila Ravi +40
This report summarizes the objectives, datasets, and top-performing methodologies of the 2026 Pixel-level Video Understanding in the Wild (PVUW) Challenge, hosted at CVPR 2026, whi…
2nd of the 5th PVUW MeViS-Audio Track: ASR-SaSaSa2VA
Zhiyu Wang, Xudong Kang, Shutao Li
Audio-based video object segmentation aims to locate and segment objects in videos conditioned on audio cues, requiring precise understanding of both appearance and motion. Recent…
Robust Remote Sensing Image-Text Retrieval with Noisy Correspondence
Qiya Song, Yiqiang Xie, Yuan Sun +2
As a pivotal task that bridges remote visual and linguistic understanding, Remote Sensing Image-Text Retrieval (RSITR) has attracted considerable research interest in recent years.…
SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR Imagery
Qiwei Ma, Xukun Lu, Wang Liu +3
Synthetic Aperture Radar (SAR) is a critical imaging modality due to its all-weather operational capability. Although recent advances in self-supervised learning and masked image m…
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment
Shuhao Han, Haotian Fan, Fangyuan Kong +112
This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoratio…
Learning from Noisy Pseudo-labels for All-Weather Land Cover Mapping
Wang Liu, Zhiyu Wang, Xin Guo +3
Semantic segmentation of SAR images has garnered significant attention in remote sensing due to the immunity of SAR sensors to cloudy weather and light conditions. Nevertheless, SA…
Agriculture-Vision Challenge 2024 -- The Runner-Up Solution for Agricultural Pattern Recognition via Class Balancing and Model Ensemble
Wang Liu, Zhiyu Wang, Puhong Duan +2
The Agriculture-Vision Challenge at CVPR 2024 aims at leveraging semantic segmentation models to produce pixel level semantic segmentation labels within regions of interest for mul…
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information
Xudong Kang, Haoran Xie, Man-Leung Wong +1
End-to-end generative methods are considered a more promising solution for image restoration in physics-based vision compared with the traditional deconstructive methods based on h…
Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector
Puhong Duan, Xudong Kang, Pedram Ghamisi
Oil spill detection has attracted increasing attention in recent years since marine oil spill accidents severely affect environments, natural resources, and the lives of coastal in…
Fusion of Dual Spatial Information for Hyperspectral Image Classification
Puhong Duan, Pedram Ghamisi, Xudong Kang +3
The inclusion of spatial information into spectral classifiers for fine-resolution hyperspectral imagery has led to significant improvements in terms of classification performance.…
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
Behnood Rasti, Danfeng Hong, Renlong Hang +4
Hyperspectral images provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands) with continuous spectral informati…