Erkang Cheng

Erkang Cheng is a computer scientist working on computer vision and autonomous driving. He received Ph.D. from Temple University, USA, in 2014 supervised by Prof. Haibin Ling. His research interests include computer vision, deep learning, autonomous driving, and medical image analysis. His work has been published in several top venues including CVPR, ICCV, MICCAI, ICRA and IROS.

His current focus is to solve autonomous perception problems and fundamental research in medical image analysis.

Email: twokang dot cheng AT gmail dot com. Google Scholar

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News

  • [10/2023] NEW One paper of 3D single object tracking gets accepted to RAL 2023.
  • [06/2023] One paper of circle object detection gets accepted to MICCAI 2023.
  • [01/2023] One paper of 3D lane detection gets accepted to ICRA 2023.
  • [09/2022] One paper of BEV semantic segmentation gets accepted to WACV 2023.
  • [07/2022] Invited Talk at Autobitxyz (汽车之心-行家说) on BEV + Transformer for Perception of Autonomous Driving. [video] [pdf]
  • PrePrint

    CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention
    Yifeng Bai^, Zhirong Chen^, Pengpeng Liang, Erkang Cheng*
    arxiv, 2024
    [paper]

    Research

    *Corresponding author. ^Equal contribution.

    Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking
    Shihao Feng, Pengpeng Liang*, Jin Gao, Erkang Cheng
    RAL, 2023

    Boosting Medical Image Segmentation with Partial Class Supervision
    Minxia Xu, Han Yang, Bo Song, Jinshui Miao, Weida Hu, Erkang Cheng*
    CCBR, 2023

    CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
    Hengxu Zhang, Pengpeng Liang, Zhiying Sun, Bo Song, Erkang Cheng*
    MICCAI, 2023
    [paper] [code]

    CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention
    Yifeng Bai^, Zhirong Chen^, Zhangjie Fu, Lang Peng, Pengpeng Liang, Erkang Cheng*
    ICRA, 2023
    [paper] [video]

    BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs
    Lang Peng, Zhirong Chen, Zhangjie Fu, Pengpeng Liang, Erkang Cheng*
    WACV, 2023
    [paper] [video]

    Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving
    Naifan Li, Fan Song, Ying Zhang, Pengpeng Liang, Erkang Cheng*
    ICRA, 2022
    [paper] [dataset]

    Pseudo Segmentation for Semantic Information-Aware Stereo Matching
    Shengyou Hua, Zhiyong Sun, Bo Song, Pengpeng Liang, Erkang Cheng
    IEEE Signal Processing Letters, 2022

    Accurate Preoperative Path Planning with Coarse-to-refine Segmentation for Image Guided Deep Brain Stimulation
    Bin Cai, Chi Xiong, Zhiyong Sun, Pengpeng Liang, Kaifeng Wang, Yuhao Guo, Chaoshi Niu, Bo Song, Erkang Cheng*, Xiongbiao Luo
    Biomedical Signal Processing and Control, 2022

    Orthographic Pooling: Learned Maximum Intensity Projection for Vertebrae Labelling
    Bin Cai, Yuhao Guo, Pengpeng Liang, Kaifeng Wang, Zhiyong Sun, Chi Xiong, Bo Song, Chaoshi Niu, Erkang Cheng*
    EMBC, 2022

    Efficient Network with Ghost Tied Block for Heart Segmentation
    Yuhao Guo, Bin Cai, Pengpeng Liang, Kaifeng Wang, Zhiyong Sun, Chi Xiong, Bo Song, Chaoshi Niu, Erkang Cheng*
    SPIE Medical Imaging, 2022

    Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes
    Chengcheng Guo, Minjie Lin, Heyang Guo, Pengpeng Liang, Erkang Cheng*
    IROS, 2021
    [paper] [video]

    Learning Local Descriptors with Multi-level Feature Aggregation and Spatial Context Pyramid
    Pengpeng Liang, Haoxuanye Ji, Erkang Cheng, Yumei Chai, Liming Wang, Haibin Ling
    Neurocomputing, 2021

    Joint Spinal Centerline Extraction and Curvature Estimation with Row-Wise Classification and Curve Graph Network
    Long Huo, Bin Cai, Pengpeng Liang, Zhiyong Sun, Chi Xiong, Chaoshi Niu, Bo Song, Erkang Cheng*
    MICCAI, 2021

    Ghost-light-3dnet: Efficient Network for Heart Segmentation
    Bin Cai^, Erkang Cheng^, Pengpeng Liang, Chi Xiong, Zhiyong Sun, Qiang Zhang, Bo Song
    ISBI, 2021

    Talk

  • [07/2022] Invited Talk at Autobitxyz (汽车之心-行家说) on BEV + Transformer for Perception of Autonomous Driving. [video] [pdf]