World's Best Scientists 2026 revealed!
Jianping Shi

Jianping Shi

D-Index & Metrics

Computer Science

D-Index
58
Citations
51662
World Ranking
3512
National Ranking
473

Overview

Jianping Shi is affiliated with SenseTime in China and has a significant research presence in the fields of Engineering and Materials Science. Their work encompasses a variety of specialized subfields, including Biomedical Engineering, Mechanical Engineering, Automotive Engineering, Electrical and Electronic Engineering, and Materials Chemistry.

The scientist's research topics cover a diverse range of areas, prominently featuring:

  • Additive Manufacturing and 3D Printing Technologies
  • 3D Printing in Biomedical Research
  • Bone Tissue Engineering Materials
  • Heat Transfer and Optimization
  • Advanced Sensor and Energy Harvesting Materials
  • 2D Materials and Applications
  • Flame retardant materials and properties

Jianping Shi has contributed to several recent publications, including the following papers:

  • The recent development of vat photopolymerization: A review, 2021, Additive Manufacturing
  • A review of flexible force sensors for human health monitoring, 2020, Journal of Advanced Research
  • Robotic in situ 3D bio-printing technology for repairing large segmental bone defects, 2020, Journal of Advanced Research
  • Trabecular-like Ti-6Al-4V scaffold for bone repair: A diversified mechanical stimulation environment for bone regeneration, 2022, Composites Part B Engineering
  • 3D Printed Skin-Inspired Flexible Pressure Sensor with Gradient Porous Structure for Tunable High Sensitivity and Wide Linearity Range, 2021, Advanced Materials Technologies

The frequent co-authors contributing alongside Jianping Shi include Wenlai Tang, Jiquan Yang, Na Li, and Huixin Liang.

The most common publication venues for Jianping Shi's work are:

  • SSRN Electronic Journal
  • Journal of Advanced Research
  • arXiv (Cornell University)
  • Chemosphere
  • Advanced Materials

Best Publications

  • Pyramid Scene Parsing Network

    Hengshuang Zhao;Jianping Shi;Xiaojuan Qi;Xiaogang Wang

  • Path Aggregation Network for Instance Segmentation

    Shu Liu;Lu Qi;Haifang Qin;Jianping Shi

  • PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

    Shaoshuai Shi;Chaoxu Guo;Li Jiang;Zhe Wang

  • Hierarchical Saliency Detection

    Qiong Yan;Li Xu;Jianping Shi;Jiaya Jia

  • Libra R-CNN: Towards Balanced Learning for Object Detection

    Jiangmiao Pang;Kai Chen;Jianping Shi;Huajun Feng

  • ICNet for Real-Time Semantic Segmentation on High-Resolution Images

    Hengshuang Zhao;Xiaojuan Qi;Xiaoyong Shen;Jianping Shi

  • Context Encoding for Semantic Segmentation

    Hang Zhang;Kristin Dana;Jianping Shi;Zhongyue Zhang

  • Hybrid Task Cascade for Instance Segmentation

    Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin

  • Abnormal Event Detection at 150 FPS in MATLAB

    Cewu Lu;Jianping Shi;Jiaya Jia

  • GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

    Zhichao Yin;Jianping Shi

  • PSANet: Point-wise Spatial Attention Network for Scene Parsing

    Hengshuang Zhao;Yi Zhang;Shu Liu;Jianping Shi

  • Spatial as deep: Spatial CNN for traffic scene understanding

    Xingang Pan;Jianping Shi;Ping Luo;Xiaogang Wang

  • From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network

    Shaoshuai Shi;Zhe Wang;Jianping Shi;Xiaogang Wang

  • MMDetection: Open MMLab Detection Toolbox and Benchmark.

    Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao

  • Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

    Xingang Pan;Ping Luo;Jianping Shi;Xiaoou Tang

  • PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

    Unknown

  • Hierarchical Image Saliency Detection on Extended CSSD

    Jianping Shi;Qiong Yan;Li Xu;Jiaya Jia

  • Adaptive Batch Normalization for practical domain adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Xiaodi Hou

  • Temporal Pyramid Network for Action Recognition

    Ceyuan Yang;Yinghao Xu;Jianping Shi;Bo Dai

  • Revisiting Batch Normalization For Practical Domain Adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Jiaying Liu

  • Understanding and Diagnosing Visual Tracking Systems

    Naiyan Wang;Jianping Shi;Dit-Yan Yeung;Jiaya Jia

Frequent Co-Authors

Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Ping Luo
Ping Luo University of Hong Kong
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong
Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Bolei Zhou
Bolei Zhou University of California, Los Angeles
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Chen Change Loy
Chen Change Loy Nanyang Technological University
Hengshuang Zhao
Hengshuang Zhao University of Hong Kong

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