wd74108520@gmail.com
; d_wang@whu.edu.cn
Researches
Activites
Occupation
[2023.05-Now] Research Intern
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[2021.12-2023.05] Research Intern
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SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model
Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao and Liangpei Zhang Advances in Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS), 2023. [Paper][Code][Poster] |
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang and Bo Du International Joint Conference on Artificial Intelligence (IJCAI), 2024. [Paper][Code] |
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang, Meiqi Hu, Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, Chuan Fu, Hongruixuan Chen, Chengxi Han, Naoto Yokoya, Jing Zhang, Minqiang Xu, Lin Liu, Lefei Zhang, Chen Wu, Bo Du, Dacheng Tao, Liangpei Zhang arXiv e-prints (arXiv), 2024. [Paper][Code] News: 全球首个十亿级高光谱智能理解基础模型 |
MTP: Advancing Remote Sensing Foundation Model Via Multi-Task Pretraining
Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao and Liangpei Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2024. [Paper][Code] News: MTP: 基于遥感基础模型的多任务预训练范式 |
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao and Liangpei Zhang IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. (ESI Highly Cited Paper) [Paper][Code] News: [全球首个面向遥感任务设计的亿级视觉Transformer大模型] [探索研究院年度高光时刻盘点] [测国重] [遥感院] [AI研究院] [多媒体中心] [多媒体实验室] [课题组] [慧天地] [泰伯网] [CVer] [52CV] [智源] [极市平台] [将门创投] [长江云] [汉新闻] [湖北经视] [广东广电] [澎湃新闻 “中国大模型,产业落地这一年”] [观察者网 “中国大模型图鉴:深度解读《2023大模型落地应用案例集》”] The model has been included in [LuojiaNet]. |
An Empirical Study of Remote Sensing Pretraining
Di Wang, Jing Zhang, Bo Du, Gui-Song Xia, and Dacheng Tao IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. (ESI Highly Cited Paper) [Paper][Code][Talk][Slide] News: [RSP: 遥感预训练的实证研究] [将门创投] |
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
Di Wang, Bo Du, Liangpei Zhang and Dacheng Tao IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [Paper][Code] |
DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification
Di Wang, Jing Zhang, Bo Du, Liangpei Zhang and Dacheng Tao IEEE Transactions on Image Processing (TIP), 2023. [Paper][Code] |
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification
Di Wang, Bo Du and Liangpei Zhang IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [Paper][Code] |
Fully Contextual Network for Hyperspectral Scene Parsing
Di Wang, Bo Du and Liangpei Zhang IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021. (ESI Highly Cited Paper) [Paper][Code] |
Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification
Di Wang, Bo Du, Liangpei Zhang and Yonghao Xu IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020. (ESI Highly Cited Paper) [Paper][Code] |
Hyperspectral image classification based on multi-scale information compensation
Di Wang, Bo Du, Liangpei Zhang and Sheng Chu Remote Sensing Letters (RSL), 2020. [Paper][Code] |
ITER: Image-to-Pixel Representation for Weakly
Supervised HSI Classification
Jiaqi Yang, Bo Du, Di Wang and Liangpei Zhang IEEE Transactions on Image Processing (TIP), 2024. [Paper] News: 高光谱图像分类:首次使用图像级标注进行像素级分类 |
Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities
Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao ACM Computing Surveys (CSUR), 2024. [Paper][Project] |
RCSANet: A Full Convolutional Network for Extracting Inland Aquaculture Ponds from High-Spatial-Resolution Images
Zhe Zeng, Di Wang, Wenxia Tan, Gongliang Yu, Jiacheng You, Botao Lv and Zhongheng Wu Remote Sensing (RS), 2020. [Paper] |
Extracting aquaculture ponds from natural water surfaces around inland lakes on medium resolution multispectral images
Zhe Zeng, Di Wang, Wenxia Tan and Jianhua Huang International Journal of Applied Earth Observation and Geoinformation (JAG), 2019. [Paper] |
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