彭浩

Hao Peng 彭浩

  • Ph.D. student.
  • E-mail：apengh@126.com
  • MP: +8618782909198
  • Date of birth: 3rd September 1990
  • College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China.

Research

Point cloud Processing, 3D object detection, Deep learning, and Computer vision.

Education

  • 2017.09-Present, pursuing Ph.D. degree in Pattern Recognition and Intelligent Systems, Northeastern University, China. [985, 211]
  • 2014.09-2017.07, M.S. in Pattern Recognition and Intelligent Systems, Sichuan University, China. [985, 211]
  • 2009.09-2013.07, B.S. in Electronic information engineering, Qufu Normal University, China.

Publications

  • TITS2023 H. Peng, G. Tong and Y. Shao, “3SNet: Semi-Anchor-Free 3D Object Detector With Slice Attention and Symmetric Features Propagation,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3292945. (SCI, IF= 8.5)
  • TCSVT2023 H. Peng and G. Tong*, “Class-aware 3D detector from point clouds with partial knowledge diffusion and center-weighted IoU,” in IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2023.3289858. (SCI, IF= 8.4)
  • RAL2023 G. Tong, Z. Li*, H. Peng and Y. Wang, “Multi-Source Features Fusion Single Stage 3D Object Detection With Transformer,” in IEEE Robotics and Automation Letters, vol. 8, no. 4, pp. 2062-2069, April 2023, doi: 10.1109/LRA.2023.3244124. (SCI, IF= 5.2)
  • VC2023 Tong, G., Shao, Y. & Peng, H. Learning local contextual features for 3D point clouds semantic segmentation by attentive kernel convolution. Vis Comput (2023). https://doi.org/10.1007/s00371-023-02819-9. (SCI, IF= 3.5)
  • Neurocomputing2022 Guofeng Tong, Hao Peng*, Yuyuan Shao, Qijun Yin, Zheng Li, ASCNet: 3D object detection from point cloud based on adaptive spatial context features, Neurocomputing, volume 475, pages 89-101, 2022. https://doi.org/10.1016/j.neucom.2021.12.061. (SCI, IF= 6.0)
  • Neurocomputing2022 Yuyuan Shao, Guofeng Tong*, Hao Peng, Mining local geometric structure for large-scale 3D point clouds semantic segmentation, Neurocomputing, Volume 500, 2022, Pages 191-202, https://doi.org/10.1016/j.neucom.2022.05.060. (SCI, IF= 6.0)
  • Cobot2021 Hao Peng, Guofeng Tong*, Zheng Li, Yaqi Wang, Yuyuan Shao, 3D Object Detection Combining Semantic and Geometric Features from Point Clouds, Cobot2021. Arxiv link. (https://doi.org/10.12688/cobot.17433.1).(特等奖，最佳论文)
  • IEEEAccess2019 Y. Li, G. Tong*, X. Li, L. Zhang and H. Peng, “MVF-CNN: Fusion of Multilevel Features for Large-Scale Point Cloud Classification,” in IEEE Access, vol. 7, pp. 46522-46537, 2019. DOI: 10.1109/ACCESS. 2019.2908983. (SCI, IF= 3.9)
  • 控制与决策2022 佟国峰, 杨宇航, 彭浩, 孟祥政, 殷旗君. 基于视觉语义与激光点云交融构建的SLAM算法[J/OL].控制与决策:1-8[2022-09-19].DOI:10.13195/j.kzyjc.2022.0814.（EI）
  • 激光与光电子学进展2019 李勇, 佟国峰*, 杨景超, 张立强, 彭浩, 高华帅. 三维点云场景数据获取及其场景理解关键技术综述[J]. 激光与光电子学进展, 2019, 056(004):13-26.
  • 计算机工程2017 彭浩, 周新志, 雷印杰*. 基于先验色彩协方差约束的彩色图像分割[J]. 计算机工程, 2017, 43(4): 251-256.

Patent

  • 张哲, 佟国峰, 王建宾, 宋波, 彭浩. 一种基于IMU和人体下肢倾角的跌倒检测系统. 申请号: 202021607513.6

Service

  • Invited reviewer: Applied Intelligence, IEEE Transaction on Circuits and Systems for Video Technology.