Zhenshi Li

According to our database, Zhenshi Li authored at least 16 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Remote Sensing Image Super-Resolution for Imbalanced Textures: A Texture-Aware Diffusion Framework.

Enzhuo Zhang, Sijie Zhao, Dilxat Muhtar, Zhenshi Li, Xueliang Zhang, Pengfeng Xiao

CoRR, April, 2026

2025

FarSLIP: Discovering Effective CLIP Adaptation for Fine-Grained Remote Sensing Understanding.

Zhenshi Li, Weikang Yu, Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao, Pedram Ghamisi, Xiao Xiang Zhu

CoRR, November, 2025

Dynamic fusion of medium-resolution optical and SAR imagery for methane source infrastructure classification.

Yanglangxing He, Xueliang Zhang, Pengfeng Xiao, Zhenshi Li, Dilxat Muhtar, Feng Gu, Binxiao Liu, Pengming Feng

Int. J. Appl. Earth Obs. Geoinformation, 2025

Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models.

Dilxat Muhtar, Enzhuo Zhang, Zhenshi Li, Feng Gu, Yanglangxing He, Pengfeng Xiao, Xueliang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

FlipCAM: A Feature-Level Flipping Augmentation Method for Weakly Supervised Building Extraction From High-Resolution Remote Sensing Imagery.

Xueliang Zhang, Qi Su, Pengfeng Xiao, Wenye Wang, Zhenshi Li, Guangjun He

IEEE Trans. Geosci. Remote. Sens., 2024

FDFF-Net: A Full-Scale Difference Feature Fusion Network for Change Detection in High-Resolution Remote Sensing Images.

Feng Gu, Pengfeng Xiao, Xueliang Zhang, Zhenshi Li, Dilxat Muhtar

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation.

Zhenshi Li, Dilxat Muhtar, Feng Gu, Xueliang Zhang, Pengfeng Xiao, Guangjun He, Xiaoxiang Zhu

CoRR, 2024

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model.

Dilxat Muhtar, Zhenshi Li, Feng Gu, Xueliang Zhang, Pengfeng Xiao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding.

Dilxat Muhtar, Xueliang Zhang, Pengfeng Xiao, Zhenshi Li, Feng Gu

IEEE Trans. Geosci. Remote. Sens., 2023

One Model Is Enough: Toward Multiclass Weakly Supervised Remote Sensing Image Semantic Segmentation.

Zhenshi Li, Xueliang Zhang, Pengfeng Xiao

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Patch-Based Training of Fully Convolutional Network for Hyperspectral Image Classification With Sparse Point Labels.

Xueliang Zhang, Zixian Zheng, Pengfeng Xiao, Zhenshi Li, Guangjun He

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Which CAM is Better for Extracting Geographic Objects? A Perspective From Principles and Experiments.

Qi Su, Xueliang Zhang, Pengfeng Xiao, Zhenshi Li, Wenye Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021

Integrating Gate and Attention Modules for High-Resolution Image Semantic Segmentation.

Zixian Zheng, Xueliang Zhang, Pengfeng Xiao, Zhenshi Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery.

Zhenshi Li, Xueliang Zhang, Pengfeng Xiao, Zixian Zheng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Monitoring surface deformation of permafrost in Wudaoliang Region, Qinghai-Tibet Plateau with ENVISAT ASAR data.

Rongxing Li, Zhenshi Li, Jiangping Han, Ping Lu, Gang Qiao, Xianglian Meng, Tong Hao, Fujun Zhou

Int. J. Appl. Earth Obs. Geoinformation, 2021

2013

Authorship Verification with Compression Features.

Cor J. Veenman, Zhenshi Li

Proceedings of the Working Notes for CLEF 2013 Conference , 2013