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Junjue Wang 王俊珏Project ResearcherThe University of Tokyo, JapanE-mail: kingdrone@edu.k.u-tokyo.ac.jp
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I am now working as a project researcher at Machine Learning and Statistical Data Analysis Lab, The University of Tokyo, supervised by Prof. Naoto Yokoya. I received my doctoral degree in Photogrammetry and Remote Sensing from Wuhan University in 2024, advised by Prof. Yanfei Zhong and Liangpei Zhang. I achieved my B.S. degree from the School of Geography and Information Engineering, China University of Geosciences (Wuhan), in 2019.
My interests include multi-modal remote sensing processing and computer vision, focusing on creative datasets and algorithms for various applications, such as large-scale land-cover mapping, agricultural analysis, rural/urban planning, and landslide detection, etc.
Recent News
[2024.10] We host a special issue Advancement of Multi-Source Remote Sensing Data Fusion in Environmental Monitoring at [Remote Sensing] (IF: 4.2). Please feel free to contribute :)
[2024.05] The Code and Dataset of EarthVQA (AAAI'2024) are released here.
[2024.01] Our LoveNAS was accepted by ISPRS'2024.
[2023.12] Our EarthVQA was accepted by AAAI'2024.
[2023.09] Our LoveCS has become ESI highly cited paper (Top 1%).
[2023.07] Our FarSeg++ has been accepted by TPAMI'2023.
Selected Publications
EarthVQANet: Multi-task visual question answering for remote sensing image understanding
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2024
LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2024
EarthVQA: Towards Queryable Earth via Relational Reasoning-based Remote Sensing Visual Question Answering
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
Cross-sensor domain adaptation for high spatial resolution urban land-cover mapping: From airborne to spaceborne imagery (ESI highly cited paper)
Remote Sensing of Environment (RSE), 2022
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Advances in Neural Information Processing Systems (NeurIPS), 2021
FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
RSNet: The Search for Remote Sensing Deep Neural Networks in Recognition Tasks (ESI highly cited paper)
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Award
[2022.9]
2022 Graduate Academic Innovation First Prize, Wuhan University (“武汉大学研究生学术创新奖”一等奖)
[2022.2-2022.3]
2022 Ali Tianchi Real World Image Forgery Localization Challenge
1st Place (1/1149)
[2020.10-2020.12]
2021 IEEE GRSS Data Fusion Contest, Track: Multitemporal Semantic Change Detection
4th Place
[2020.03-2020.05]
SpaceNet 6 EarthVision workshop challenge at CVPR 2020
Top Graduate Award (__EVER__)
[2019.10-2019.12]
2019 IEEE GRSS Data Fusion Contest, Single-view Semantic 3D Challenge
2nd Place (2/400+)