I am a PhD student of photogrammetry and remote sensing at State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University. I'm now a member of RSIDEA group, advised by Prof. Yanfei Zhong and Liangpei Zhang.
My major research interests are high-resolution remote sensing imagery semantic segmentation and computer vision.
[2022.09] Awarded with 2022 Graduate Academic Innovation First Prize, Wuhan University. (“武汉大学研究生学术创新奖”一等奖)
[2022.07] Our CapFormer has become Top10 in IGARSS 2022 Student Paper Contest.
[2022.06] We won 1st Place in 2022 IJCAI LandSlideSense Challenge.
[2022.05] LoveCS was accepted by RSE'2022 and code was released here.
[2022.03] We won 1st Place (1/1149) in 2022 Ali Tianchi Real World Image Forgery Localization Challenge and the solution was shared here.
[2022.03] Our RSNet has become ESI highly cited paper (Top 1%).
[2021.10] LoveDA Semantic Segmentation and Unsupervised Domain Adaptation Contests are held on Codalab.
Cross-sensor domain adaptation for high spatial resolution urban land-cover mapping: From airborne to spaceborne imagery
Remote Sensing of Environment (RSE), 2022
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (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
2022 Graduate Academic Innovation First Prize, Wuhan University (“武汉大学研究生学术创新奖”一等奖)
2022 Ali Tianchi Real World Image Forgery Localization Challenge
1st Place (1/1149)
2021 IEEE GRSS Data Fusion Contest, Track: Multitemporal Semantic Change Detection
SpaceNet 6 EarthVision workshop challenge at CVPR 2020
Top Graduate Award (__EVER__)
4th Place (4/3500+), overall
2019 IEEE GRSS Data Fusion Contest, Single-view Semantic 3D Challenge
2nd Place (2/400+)