Pengcheng Han

PhD
Northwestern Polytechnical University

Email: hanpc839874404 at 163.com
Google Scholar, dblp


Bio

I obtained my B.E. (2013), M.E. (2016) and Ph.D. (2023) from Northwestern Polytechnical University in Pattern Recognition and Intelligent Systems, advised by Professor Shuhui Bu. My research interests include computer vision, machine learning, 3D analysis, UAV, artificial intelligence and SLAM.


Long, long had been my road and far, far was the journey; I will go up and down to seek my heart's desire.


News

[07/2023] One paper GCG-Net: Graph Classification Geolocation Network is accepted at IEEE Transactions on Geoscience and Remote Sensing 2023.
[11/2022] Two papers Correlation and Attention Mechanism based Network for Change Detection, and A Fast Reconstruction Method Based on Real-time Terrain Following are accepted at China Automation Congress (CAC) 2022.
[08/2022] One paper Fast tree detection and counting on UAVs for sequential aerial images with generating orthophoto mosaicing is accepted at Remote Sensing 2022.
[11/2021] One paper HMMN: Online metric learning for human re-identification via hard sample mining memory network is accepted at Engineering Applications of Artificial Intelligence 2021.
[11/2021] One paper HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens is accepted at IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021.
[07/2021] One paper Rtsfm: Real-time structure from motion for mosaicing and dsm mapping of sequential aerial images with low overlap is accepted at IEEE Transactions on Geoscience and Remote Sensing 2021.
[04/2021] One paper Counting trees with point-wise supervised segmentation network is accepted at Engineering Applications of Artificial Intelligence 2021.
[12/2020] One paper Point in: Counting trees with weakly supervised segmentation network is accepted at 2020 25th International Conference on Pattern Recognition (ICPR) 2020.
[11/2020] One paper Real-time orthophoto mosaicing on mobile devices for sequential aerial images with low overlap is accepted at Remote Sensing 2020.
[11/2020] One paper DFNet: Deep Fusion Network for 3D Shape Classification and Retrieval is accepted at 2020 Chinese Automation Congress (CAC) 2020.
[10/2020] One paper Densefusion: Large-scale online dense pointcloud and dsm mapping for uavs is accepted at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020.
[09/2020] One paper Change detection in images using shape-aware siamese convolutional network is accepted at Engineering Applications of Artificial Intelligence 2020.
[02/2020] One paper Mask-CDNet: A mask based pixel change detection network is accepted at Neurocomputing 2020.
[11/2019] One paper Terrainfusion: Real-time digital surface model reconstruction based on monocular slam is accepted at 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019.
[10/2019] One paper GSLAM: A general SLAM framework and benchmark is accepted at Proceedings of the IEEE/CVF International Conference on Computer Vision 2019.
[07/2019] One paper Aerial image change detection using dual regions of interest networks is accepted at Neurocomputing 2019.
[10/2017] One paper 3D shape recognition and retrieval based on multi-modality deep learning is accepted at Neurocomputing 2017.
[11/2016] One paper Scene parsing using inference embedded deep networks is accepted at Pattern Recognition 2016.
[02/2015] One paper Local deep feature learning framework for 3D shape is accepted at Computers & Graphics 2015.
[06/2014] One paper Shift-invariant ring feature for 3D shape is accepted at The Visual Computer 2014.


Academic Service

Conference reviewer:
IROS: 2022
CAC: 2022
ICPR: 2020

Journal reviewer:
Pattern Recognition
IEEE Transactions on Geoscience and Remote Sensing
Engineering Applications of Artificial Intelligence
Neurocomputing
Geo-spatial Information Science
Computers & Graphics-UK
The Visual Computer


Publications

Preprint
2023
GCG-Net: Graph Classification Geolocation Network
Yu Zhang, Shuhui Bu, Boni Hu, Pengcheng Han, Lean Weng, Shaocheng Xue
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023.
[Paper]
2022
Correlation and Attention Mechanism based Network for Change Detection
Pengchen Han, Cunbao Ma, Shuhui Bu, Lin Chen, Zhenyu Xia, Jinsong Hu
China Automation Congress (CAC), 2022.
[Paper][Code]
A Fast Reconstruction Method Based on Real-time Terrain Following
Zhenyu Xia, Shuhui Bu, Lin Chen, Pengchen Han
China Automation Congress (CAC), 2022.
[Paper]
Fast tree detection and counting on UAVs for sequential aerial images with generating orthophoto mosaicing
Pengchen Han, Cunbao Ma, Jian Chen, Lin Chen, Shuhui Bu, Shibiao Xu, Yong Zhao, Chenhua Zhang, Tatsuya Hagino
Remote Sensing, 2022.
[Paper][Code]
2021
HMMN: Online metric learning for human re-identification via hard sample mining memory network
Pengchen Han, Qing Li, Cunbao Ma, Shibiao Xu, Shuhui Bu, Yong Zhao, Ke Li
Engineering Applications of Artificial Intelligence, 2021.
[Paper][Code]
HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens
Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengchen Han
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.
[Paper][Code]
Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages
Yong Zhao, Pengcheng Zhao, Shibiao Xu, Lin Chen, Pengchen Han, Shuhui Bu, Hongkai Jiang
arXiv preprint arXiv:2108.08464, 2021.
[Paper][Code]
Rtsfm: Real-time structure from motion for mosaicing and dsm mapping of sequential aerial images with low overlap
Yong Zhao, Lin Chen, Xishan Zhang, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengchen Han, Ke Li, Gang Wan
IEEE Transactions on Geoscience and Remote Sensing, 2021.
[Paper]
Counting trees with point-wise supervised segmentation network
Pinmo Tong, Pengcheng Han, Xishan Zhang, Suicheng Li, Ni Li, Shuhui Bu, Qing Li, Ke Li
Engineering Applications of Artificial Intelligence, 2021.
[Paper][Code]
2020
Point in: Counting trees with weakly supervised segmentation network
Pinmo Tong, Pengcheng Han, Xishan Zhang, Shuhui Bu
2020 25th International Conference on Pattern Recognition (ICPR), 2020.
[Paper]
Real-time orthophoto mosaicing on mobile devices for sequential aerial images with low overlap
Yong Zhao, Yuqi Cheng, Pinmo Tong, Xishan Zhang, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han, Ke Li, Gang Wan
Remote Sensing, 2020.
[Paper]
DFNet: Deep Fusion Network for 3D Shape Classification and Retrieval
Boni Hu, Pengyu Leng, Xishan Zhang, Pengcheng Han, Shuhui Bu, Lin Chen
2020 Chinese Automation Congress (CAC), 2020.
[Paper]
DenseFusion: Large-Scale Online Dense Pointcloud and DSM Mapping for UAVs
Lin Chen, Yong Zhao, Shibiao Xu, Shuhui Bu, Pengcheng Han, Gang Wan
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
[Paper]
Change detection in images using shape-aware siamese convolutional network
Suicheng Li, Pengcheng Han, Shuhui Bu, Pinmo Tong, Qing Li, Ke Li, Gang Wan
Engineering Applications of Artificial Intelligence, 2020.
[Paper]
Mask-CDNet: A mask based pixel change detection network
Shuhui Bu, Qing Li, Pengcheng Han, Pengyu Leng, Ke Li
Neurocomputing, 2020.
[Paper]
2019
Terrainfusion: Real-time digital surface model reconstruction based on monocular slam
Wei Wang, Yong Zhao, Pengcheng Han, Pengcheng Zhao, Shuhui Bu
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
[Paper]
GSLAM: A general SLAM framework and benchmark
Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019.
[Paper][Code]
Aerial image change detection using dual regions of interest networks
Pengcheng Han, Cunbao Ma, Qing Li, Pengyu Leng, Shuhui Bu, Ke Li
Neurocomputing, 2019.
[Paper][Code]
2017
3D shape recognition and retrieval based on multi-modality deep learning
Shuhui Bu, Lei Wang, Pengcheng Han, Zhenbao Liu, Ke Li
Neurocomputing, 2017.
[Paper]
2016
Scene parsing using inference embedded deep networks
Shuhui Bu, Pengcheng Han, Zhenbao Liu, Junwei Han
Pattern Recognition, 2016.
[Paper]
2015
Local deep feature learning framework for 3D shape
Shuhui Bu, Pengcheng Han, Zhenbao Liu, Junwei Han, Hongwei Lin
Computers & Graphics, 2015.
[Paper]
2014
Shift-invariant ring feature for 3D shape
Shuhui Bu, Pengcheng Han, Zhenbao Liu, Ke Li, Junwei Han
The Visual Computer, 2014.
[Paper]