Haopeng Zhang

张浩鹏

Assistant Professor | Beihang University

Bio

Dr. Haopeng Zhang 张浩鹏 received the B.S. and Ph.D. degrees from Beihang University, Beijing, China, in 2008 and 2014, respectively, where he is currently an Assistant Professor with the Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics. He is affiliated to the REMEX Lab of Beihang University.

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Contact Information

address
D723, Main Building
Image Processing Center, School of Astronautics, Beihang University
9 Nansan Street, Shahe University Park, Changping District
Beijing, 102206, China
e-mail
zhanghaopeng@buaa.edu.cn OR haop.zhang@gmail.com
Tel.
+86 10 6171 6978
fax
+86 10 6171 6878

Research Interests

Artificial intelligence technologies, e.g. image processing, pattern recognition, computer vision, machine learning, etc., and their applications in aerospace exploration, remote sensing, and medical image analysis.

Special interests recently include

  • Deep learning
  • Image processing and analysis for remote sensing
  • Multi-view object detection and recognition
  • 3D object recognition and pose estimation
  • 3D reconstruction from 2D images
  • ...

News

June 29, 2020

Our paper "Non-pairwise-trained Cycle Convolutional Neural Network for Single Remote Sensing Image Super-Resolution" has been accepted for publication in IEEE Transactions on Geoscience and Remote Sensing. Congratulations to Pengrui Wang!

June 8, 2020

Our paper "Deep Learning Based Electric Pylon Detection in Remote Sensing Images" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/12/11/1857. Congratulations to Sijia Qiao and Yu Sun!

May 19, 2020

Our paper "Tracing Diagnosis Paths on Histology WSIs for Diagnostically Relevant Case Recommendation" has been accepted for inclusion in the MICCAI 2020. Congratulations to Yushan Zheng!

March 30, 2020

Our paper "A simple artificial neural network for fire detection using Landsat-8 data" has also been accepted for presentation to the ISPRS 2020 Congress. Congratulations to Zhuoran Liu, Kai Wu, and Rui Jiang!

March 03, 2020

Our paper "Moving ship detection and movement prediction in remote sensing videos" has been accepted for presentation to the ISPRS 2020 Congress. Congratulations to Yuhao Wang, Hanzhang Cheng, Xintong Zhou, and Wei Luo!

December 03, 2019

Our paper "Out-of-Region Keypoint Localization for 6D Pose Estimation" has been published in Image and Vision Computing and is available online at https://doi.org/10.1016/j.imavis.2019.103854. Congratulations to Xin Zhang!

July 23, 2019

Our paper "A Comparable Study of CNN-Based Single Image Super-Resolution for Space-Based Imaging Sensors" has been published in Sensors and is available online at https://www.mdpi.com/1424-8220/19/14/3234. Congratulations to Pengrui Wang and Cong Zhang!

July 09, 2019

Our paper "Real-Time 6D Pose Estimation from a Single RGB Image" has been accepted for publication in Image and Vision Computing and is available online at https://doi.org/10.1016/j.imavis.2019.06.013. Congratulations to Xin Zhang!

June 10, 2019

Our paper "Vision-Based Satellite Recognition and Pose Estimation Using Gaussian Process Regression" has been published in International Journal of Aerospace Engineering and is available online at https://www.hindawi.com/journals/ijae/2019/5921246/. Congratulations to Cong Zhang!

June 05, 2019

Our paper "Encoding histopathological WSIs using GNN for scalable diagnostically relevant regions retrieval" has been accepted for inclusion in the MICCAI 2019. Congratulations to Yushan Zheng!

May 27, 2019

Our THREE papers, "Chimney and condensing tower detection based on FPN in high-resolution remote sensing images", "A public dataset for ship classification in remote sensing images", and "Crop classification based on lightened convolutional neural networks in multispectral images", have been accepted for inclusion in the SPIE Remote Sensing 2019. Congratulations to Qin Deng, Yanghua Di, and Jiawei Shi!

May 10, 2019

Our paper "Deep Learning Based Fossil-Fuel Power Plant Monitoring in High Resolution Remote Sensing Images: A Comparative Study" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/11/9/1117. Congratulations to Qin Deng!

April 06, 2019

Our paper "UNSUPERVISED REMOTE SENSING IMAGE SUPER-RESOLUTION USING CYCLE CNN" has been accepted for inclusion in the IGARSS 2019. Congratulations to Pengrui Wang!

March 29, 2019

Our paper "On-Board Ship Detection in Micro-Nano Satellite Based on Deep Learning and COTS Component" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/11/7/762.