Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process
Zhuo Zheng, Shiqi Tian, Ailong Ma, Liangpei Zhang, Yanfei Zhong
International Conference on Computer Vision (ICCV), 2023
paper    code
Highlight: New direction: Generative Change Modeling; Changen, Change generator, enables object change generation with controllable object property and change event; Effective synthetic change data pre-training.

FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma, Liangpei Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
SCI Q1 Top
paper    code    UV6K dataset

ChangeMask: Deep Multi-task Encoder-Transformer-Decoder Architecture for Semantic Change Detection
Zhuo Zheng, Yanfei Zhong, Shiqi Tian, Ailong Ma, Liangpei Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2022
SCI Q1 Top, ranking it 1 out of 50 in Geography, Physical
paper     SECOND dataset: train / val split (ours)
Highlight: Disentangled semantic and change representation and temporal symmetric transformer (TST) for semantic change detection.
ESI Highly Cited Paper

Building Damage Assessment for Rapid Disaster Response with a Deep Object-based Semantic Change Detection Framework: from natural disasters to man-made disasters
Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma, Liangpei Zhang
Remote Sensing of Environment (RSE), 2021
SCI Q1 Top, ranking it 1 out of 32 in Remote Sensing
paper    code
Highlight: A deep object-based semantic change detection method for building damage assessment in the context of disaster response.
ESI Highly Cited Paper

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong
International Conference on Computer Vision (ICCV), 2021
paper     project     code
Highlight: A single-temporal supervised learning algorithm and a plug-and-play change detection head: ChangeMixin for change detection.
The method has been included in microsoft/torchgeo and PaddlePaddle/PaddleRS.

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Junjue Wang^*, Zhuo Zheng^*, Ailong Ma, Xiaoyan Lu, Yanfei Zhong (* Equal contribution)
35th Annual Conference on Neural Information Processing Systems (NeurIPS Datasets & Benchmarks Track), 2021
paper     dataset/code

Deep Multisensor Learning for Missing-Modality All-Weather Mapping
Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2021
SCI Q1 Top, ranking it 1 out of 50 in Geography, Physical
paper
Highlight: A registration-free multi-modal/sensor learning algorithm via exploring meta-modal/sensory representation for all-weather mapping.

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma
Computer Vision and Pattern Recognition (CVPR), 2020
paper     code
Highlight: Explicit foreground modeling from the perspectives of relation and optimization for real-time geospatial object segmentation.
The method has been included in microsoft/torchgeo and PaddlePaddle/PaddleRS.

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Zhuo Zheng, Yanfei Zhong, Ailong Ma, Liangpei Zhang
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020
SCI Q1 Top
paper     code
Highlight: Patch-free is all you need towards faster and stronger hyperspectral image classification.
The method has been included in WHULuoJiaTeam/luojianet.
ESI Highly Cited Paper

HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery
Zhuo Zheng, Yanfei Zhong, Ailong Ma, Xiaobing Han, Ji Zhao, Yanfei Liu, Liangpei Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2020
SCI Q1 Top, ranking it 1 out of 50 in Geography, Physical
paper
Highlight: Hyper-scale = Multi-scale × Multi-scale, a new perspective of scale modeling at the convolutional groups.

COLOR: Cycling, Offline Learning, and Online Representation Framework for Airport and Airplane Detection Using GF-2 Satellite Images
Yanfei Zhong, Zhuo Zheng^*, Ailong Ma, Xiaoyan Lu, Liangpei Zhang   (* denotes the corresponding author)
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020
SCI Q1 Top
paper
Highlight: Evolvable model and dataset: making your model and dataset both great again for new domain data.