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Computer Science

D-Index
45
Citations
19785
World Ranking
6986
National Ranking
934

Overview

Gong Cheng is affiliated with Northwestern Polytechnical University in China. Their research primarily focuses on computer science and engineering, with a particular emphasis on computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and electrical and electronic engineering.

The scientist's work covers various topics related to advanced neural network applications, advanced image and video retrieval techniques, remote-sensing image classification, domain adaptation and few-shot learning, adversarial robustness in machine learning, video surveillance and tracking methods, and infrared target detection methodologies.

Gong Cheng has published extensively in several venues, including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing

Notable recent papers include:

  • Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Towards Large-Scale Small Object Detection: Survey and Benchmarks, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Anchor-Free Oriented Proposal Generator for Object Detection, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Weakly Supervised Object Localization and Detection: A Survey, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Learning What Not to Segment: A New Perspective on Few-Shot Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators in Gong Cheng's research include Junwei Han, Xiwen Yao, Chunbo Lang, Xingxing Xie, and Xiaoxu Feng. These co-authors have co-contributed to multiple publications, indicating established research partnerships.

Best Publications

  • Remote Sensing Image Scene Classification: Benchmark and State of the Art

    Gong Cheng;Junwei Han;Xiaoqiang Lu

  • Object detection in optical remote sensing images: A survey and a new benchmark

    Ke Li;Gang Wan;Gong Cheng;Liqiu Meng

  • Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

    Gong Cheng;Peicheng Zhou;Junwei Han

  • A survey on object detection in optical remote sensing images

    Gong Cheng;Junwei Han

  • When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

    Gong Cheng;Ceyuan Yang;Xiwen Yao;Lei Guo

  • Multi-class geospatial object detection and geographic image classification based on collection of part detectors

    Gong Cheng;Junwei Han;Peicheng Zhou;Lei Guo

  • Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

    Gong Cheng;Xingxing Xie;Junwei Han;Lei Guo

  • Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning

    Junwei Han;Dingwen Zhang;Gong Cheng;Lei Guo

  • Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey

    Junwei Han;Dingwen Zhang;Gong Cheng;Nian Liu

  • Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images

    Ke Li;Gong Cheng;Shuhui Bu;Xiong You

  • Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection

    Gong Cheng;Junwei Han;Peicheng Zhou;Dong Xu

  • Anchor-free Oriented Proposal Generator for Object Detection

    Gong Cheng;Jiabao Wang;Ke Li;Xingxing Xie

  • Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning

    Xiwen Yao;Junwei Han;Gong Cheng;Xueming Qian

  • Remote Sensing Image Scene Classification Using Bag of Convolutional Features

    Gong Cheng;Zhenpeng Li;Xiwen Yao;Lei Guo

  • Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images

    Gong Cheng;Junwei Han;Lei Guo;Zhenbao Liu

  • Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA

    Gong Cheng;Lei Guo;Tianyun Zhao;Junwei Han

  • Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification

    Gong Cheng;Zhenpeng Li;Junwei Han;Xiwen Yao

  • Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification

    Peicheng Zhou;Junwei Han;Gong Cheng;Baochang Zhang

  • Weakly Supervised Object Localization and Detection: A Survey.

    Dingwen Zhang;Junwei Han;Gong Cheng;Ming Hsuan Yang

  • Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding

    Junwei Han;Peicheng Zhou;Dingwen Zhang;Gong Cheng

Frequent Co-Authors

Junwei Han
Junwei Han Northwestern Polytechnical University
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Xintao Hu
Xintao Hu Northwestern Polytechnical University
Tianming Liu
Tianming Liu University of Georgia
Dong Xu
Dong Xu University of Hong Kong
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Jinchang Ren
Jinchang Ren Robert Gordon University
Xiaoqiang Lu
Xiaoqiang Lu Chinese Academy of Sciences
Jungong Han
Jungong Han Aberystwyth University
Yang Liu
Yang Liu Linköping University

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