QIAN Yeqiang
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QIAN Yeqiang 钱烨强

I am currently a postdoctoral fellow at the University of Michigan-Shanghai Jiao Tong University Joint Institute at Shanghai Jiao Tong University. I received a Ph.D. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China, in 2020.

Email  /  Google Scholar

Research Directions

  • Autonomous driving data scarcity and solutions, representative work: J1, J3, J5, J6, C1, C2, C4.
  • Multi-sensor fusion and multi-task learning methods, representative work: J2, J4, J7, J8, C3.
  • Publications

    Journal Papers:

    1. Survey on Fish-Eye Cameras and Their Applications in Intelligent Vehicles
      Qian Y, Yang M and Dolan J M
      IEEE Transactions on Intelligent Transportation Systems 2022 | paper

    2. Gated-Residual Block for Semantic Segmentation Using RGB-D Data
      Qian Y, Deng L, Li T, Wang C and Yang M
      IEEE Transactions on Intelligent Transportation Systems 2021 | paper

    3. Adversarial Training-Based Hard Example Mining for Pedestrian Detection in Fish-Eye Images
      Qian Y, Yang M, Li H, Wang C and Wang B
      IEEE Transactions on Intelligent Transportation Systems 2020 | paper

    4. DLT-Net: Joint Detection of Drivable Areas, Lane Lines, and Traffic Objects
      Qian Y, Dolan J M and Yang M
      IEEE Transactions on Intelligent Transportation Systems 2019 | paper

    5. Oriented Spatial Transformer Network for Pedestrian Detection Using Fish-Eye Camera
      Qian Y, Yang M, Zhao X, Wang C and Wang B
      IEEE Transactions on Multimedia 2019 | paper

    6. Hy-Seg: A Hybrid Method for Ground Segmentation Using Point Clouds
      Qian Y, Wang X, Chen Z, Wang C and Yang M
      IEEE Transactions on Intelligent Vehicles 2021 | paper

    7. Pedestrian Graph+: A Fast Pedestrian Crossing Prediction Model Based on Graph Convolutional Networks
      Cadena P R G, Qian Y, Wang C and Yang M
      IEEE Transactions on Intelligent Transportation Systems 2022 | paper

    8. Spade-E2vid: Spatially-Adaptive Denormalization for Event-Based Video Reconstruction
      Cadena P R G, Qian Y, Wang C and Yang M
      IEEE Transactions on Image Processing 2021 | paper

    9. Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
      Zhao C, Qian Y and Yang M
      Pattern Recognition 2020 | paper

    10. G2P: A New Descriptor for Pedestrian Detection
      Yang M, Qian Y, Xue L, Li H, Deng L and Wang C
      Neural Computing and Applications 2020 | paper

    11. Map-Enhanced Ego-Lane Detection in the Missing Feature Scenarios
      Wang X, Qian Y, Wang C and Yang M
      IEEE Access 2020 | paper

    12. 基于自动修补策略的网络剪枝
      苏启航, 钱烨强, 袁伟, 杨明, 王春香
      模式识别与人工智能 2022 | paper

    13. Neutral Cross-Entropy Loss Based Unsupervised Domain Adaptation for Semantic Segmentation
      Xu H, Yang M, Deng L, Qian Y and Wang C
      IEEE Transactions on Image Processing 2022 | paper

    Conference Papers:

    1. Pedestrian Feature Generation in Fish-Eye Images via Adversary
      Qian Y, Yang M, Wang C and Wang B
      IEEE International Conference on Robotics and Automation (ICRA) 2018 | paper | Oral Presentation

    2. Self-Adapting Part-Based Pedestrian Detection Using a Fish-Eye Camera
      Qian Y, Yang M, Wang C and Wang B
      IEEE Intelligent Vehicles Symposium (IV) 2017 | paper | Oral Presentation

    3. Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection
      Yang X, Qian Y, Zhu H, Wang C and Yang M
      IEEE International Conference on Robotics and Automation (ICRA) 2022 | paper

    4. A Multi-Camera Vehicle Tracking System Based on City-Scale Vehicle Re-ID and Spatial-Temporal Information
      Wu M, Qian Y, Wang C and Yang M
      IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2021 | paper

    5. Pedestrian Graph: Pedestrian Crossing Prediction Based on 2D Pose Estimation and Graph Convolutional Networks
      Cadena P R G, Yang M, Qian Y and Wang C
      IEEE Intelligent Transportation Systems Conference (ITSC) 2019 | paper

    6. CNN based Semantic Segmentation for Urban Traffic Scenes Using Fisheye Camera
      Deng L, Yang M, Qian Y, Wang C and Wang B
      IEEE Intelligent Vehicles Symposium (IV) 2017 | paper

    Recent Projects

  • 智能驾驶环境感知的多任务学习方法研究
  • 国家自然科学基金委员会,青年科学基金项目(62103261),2022.01-2024.12.

  • 面向无人驾驶3D目标检测的多源异构数据融合方法研究
  • 中国博士后基金会,面上项目(2020M681301),2021.01-2022.12.

  • 基于红外与可视图像融合的区域警戒算法研究
  • 军委装备发展部,重点实验室基金项目(6142414190203),2019.12-2021.12.

    Awards

  • 2021, 第一届全国博士后创新创业大赛银奖
  • 2020, 上海市超级博士后激励资助计划
  • 2020, 上海市自动化学会最佳博士学位论文
  • 2020, 上海市技术发明一等奖(团队成员)
  • 2020, Journal of Shanghai Jiao Tong University (Science)客座编辑
  • 2020, 上海交通大学博士优秀毕业生
  • 2019, 博士生国家奖学金
  • Talks

  • 06/2022, Data Augmentation and Unsupervised Domain Adaptation Methods for Intelligent Vehicles.
  • Keynote Speaking in 2022 IEEE Intelligent Vehicles Symposium (IV).

  • 05/2018, Pedestrian Feature Generation in Fish-Eye Images via Adversary.
  • Oral Presentation in 2018 IEEE International Conference on Robotics and Automation (ICRA).

  • 06/2017, Self-Adapting Part-Based Pedestrian Detection Using a Fish-eye Camera.
  • Oral Presentation in 2017 IEEE Intelligent Vehicles Symposium (IV).

    Patents

  • 一种礼让行人预警方法及预警系统.

    杨明, 钱烨强, 罗铨,王春香,王冰。专利号: ZL201810363236.X。