H-Index & Metrics Top Publications
Jianping Shi

Jianping Shi

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 37 Citations 18,643 81 World Ranking 5363 National Ranking 501

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Jianping Shi spends much of his time researching Artificial intelligence, Pattern recognition, Object detection, Segmentation and Computer vision. His research is interdisciplinary, bridging the disciplines of Machine learning and Artificial intelligence. His Pattern recognition research includes themes of Feature, Deep learning, Categorization and Benchmark.

Jianping Shi merges Object detection with Process in his research. His studies in Segmentation integrate themes in fields like Range, Embedding, Inference and Softmax function. His Computer vision research includes elements of Unsupervised learning, Outlier and Robustness.

His most cited work include:

  • Pyramid Scene Parsing Network (3766 citations)
  • Hierarchical Saliency Detection (1123 citations)
  • Path Aggregation Network for Instance Segmentation (663 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Segmentation, Pattern recognition and Image. Feature, Object detection, Feature extraction, Artificial neural network and Object are subfields of Artificial intelligence in which his conducts study. Jianping Shi studies Segmentation, namely Image segmentation.

His Pattern recognition research is multidisciplinary, relying on both Contextual image classification, Pyramid and Pyramid. Jianping Shi has included themes like Pixel and Point in his Image study. In his study, Parsing is strongly linked to Pascal, which falls under the umbrella field of Machine learning.

He most often published in these fields:

  • Artificial intelligence (77.25%)
  • Computer vision (38.32%)
  • Segmentation (31.14%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (77.25%)
  • Computer vision (38.32%)
  • Feature (20.96%)

In recent papers he was focusing on the following fields of study:

Jianping Shi mainly investigates Artificial intelligence, Computer vision, Feature, Image and Segmentation. In most of his Artificial intelligence studies, his work intersects topics such as Pattern recognition. His research in the fields of Object overlaps with other disciplines such as Line, Position and Horizon.

He focuses mostly in the field of Image, narrowing it down to matters related to Point and, in some cases, Function, Contextual image classification and Filter. His biological study spans a wide range of topics, including Algorithm, Machine learning and Regularization. He interconnects Point cloud, Minimum bounding box, Convolutional neural network and Benchmark in the investigation of issues within Object detection.

Between 2019 and 2021, his most popular works were:

  • PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection (84 citations)
  • From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network. (66 citations)
  • Temporal Pyramid Network for Action Recognition (42 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Artificial intelligence, Object detection, Pattern recognition, Algorithm and Feature are his primary areas of study. His work in the fields of Feature extraction and Image segmentation overlaps with other areas such as Architecture and Core. His Object detection research includes themes of Point cloud, Boundary, Minimum bounding box and Task.

The study incorporates disciplines such as Contextual image classification, Pyramid, Filter and Pyramid in addition to Pattern recognition. The concepts of his Algorithm study are interwoven with issues in Object, Image and Enhanced Data Rates for GSM Evolution. His studies deal with areas such as Pixel, Segmentation, Convolutional neural network and Voxel as well as Feature.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Pyramid Scene Parsing Network

Hengshuang Zhao;Jianping Shi;Xiaojuan Qi;Xiaogang Wang.
computer vision and pattern recognition (2017)

2837 Citations

Hierarchical Saliency Detection

Qiong Yan;Li Xu;Jianping Shi;Jiaya Jia.
computer vision and pattern recognition (2013)

1240 Citations

Context Encoding for Semantic Segmentation

Hang Zhang;Kristin Dana;Jianping Shi;Zhongyue Zhang.
computer vision and pattern recognition (2018)

455 Citations

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

Zhichao Yin;Jianping Shi.
computer vision and pattern recognition (2018)

435 Citations

MMDetection: Open MMLab Detection Toolbox and Benchmark.

Kai Chen;Jiaqi Wang;Jiangmiao Pang;Yuhang Cao.
arXiv: Computer Vision and Pattern Recognition (2019)

424 Citations

Abnormal Event Detection at 150 FPS in MATLAB

Cewu Lu;Jianping Shi;Jiaya Jia.
international conference on computer vision (2013)

415 Citations

PSANet: Point-wise Spatial Attention Network for Scene Parsing

Hengshuang Zhao;Yi Zhang;Shu Liu;Jianping Shi.
european conference on computer vision (2018)

355 Citations

Path Aggregation Network for Instance Segmentation

Shu Liu;Lu Qi;Haifang Qin;Jianping Shi.
computer vision and pattern recognition (2018)

348 Citations

Hybrid Task Cascade for Instance Segmentation

Kai Chen;Wanli Ouyang;Chen Change Loy;Dahua Lin.
computer vision and pattern recognition (2019)

321 Citations

Understanding and Diagnosing Visual Tracking Systems

Naiyan Wang;Jianping Shi;Dit-Yan Yeung;Jiaya Jia.
international conference on computer vision (2015)

310 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Jianping Shi

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