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D-Index & Metrics

Computer Science

D-Index
59
Citations
54365
World Ranking
3312
National Ranking
1604

Overview

Jianbo Shi is affiliated with the University of Pennsylvania in the United States. Their research spans multiple fields, primarily within computer science, medicine, and biochemistry, genetics, and molecular biology. Their work integrates advanced computational methods and biomedical applications.

The scientist's major fields of study include:

  • Computer Science
  • Medicine
  • Biochemistry, Genetics and Molecular Biology

In terms of subfields, Jianbo Shi focuses on:

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence

The main topics covered in their research are:

  • 3D Shape Modeling and Analysis
  • 3D Surveying and Cultural Heritage
  • Advanced Vision and Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Medical Imaging and Analysis

Jianbo Shi has published in several venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • Developmental Cell
  • Nanomedicine
  • IEEE Transactions on Neural Networks and Learning Systems
  • Journal for ImmunoTherapy of Cancer

Recent papers authored or co-authored by Jianbo Shi cover a range of topics across imaging, cancer research, and neural networks:

  • Development of A Multifunctional Gold Nanoplatform for Combined Chemo-Photothermal Therapy Against Oral Cancer, 2020, Nanomedicine
  • Convolutional Ordinal Regression Forest for Image Ordinal Estimation, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis, 2023, arXiv (Cornell University)
  • N-cadherin protects oral cancer cells from NK cell killing in the circulation by inducing NK cell functional exhaustion via the KLRG1 receptor, 2022, Journal for ImmunoTherapy of Cancer
  • DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion, 2021, arXiv (Cornell University)

The scientist has also contributed to book publications, with four books published through Springer Science+Business Media, specifically the volume "Computer Vision - ACCV 2020" released in 2021.

Frequent collaborators include:

  • Qin Xu
  • James C. Gee
  • Lingzhi Zhang
  • Hiroshi Ishikawa
  • Tomáš Pajdla

Best Publications

  • Normalized cuts and image segmentation

    Jianbo Shi;J. Malik

  • Good features to track

    Jianbo Shi;Tomasi

  • Normalized cuts and image segmentation

    Jianbo Shi;J. Malik

  • Contour and Texture Analysis for Image Segmentation

    Jitendra Malik;Serge Belongie;Thomas Leung;Jianbo Shi

  • FoveaBox: Beyond Anchor-based Object Detector

    Tao Kong;Fuchun Sun;Huaping Liu;Yuning Jiang

  • A Random Walks View of Spectral Segmentation.

    Marina Meila;Jianbo Shi

  • Spectral segmentation with multiscale graph decomposition

    T. Cour;F. Benezit;J. Shi

  • Silhouette-based human identification from body shape and gait

    R.T. Collins;R. Gross;Jianbo Shi

  • Detecting unusual activity in video

    Hua Zhong;Jianbo Shi;M. Visontai

  • The CMU Motion of Body (MoBo) Database

    Ralph Gross;Jianbo Shi

  • Learning Segmentation by Random Walks

    Marina Meila;Jianbo Shi

  • Balanced Graph Matching

    Timothee Cour;Praveen Srinivasan;Jianbo Shi

  • DeepEdge: A multi-scale bifurcated deep network for top-down contour detection

    Gedas Bertasius;Jianbo Shi;Lorenzo Torresani

  • Motion segmentation and tracking using normalized cuts

    Jianbo Shi;J. Malik

  • Pulling Things out of Perspective

    L'ubor Ladický;Jianbo Shi;Marc Pollefeys

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • Textons, contours and regions: cue integration in image segmentation

    J. Malik;S. Belongie;J. Shi;T. Leung

  • Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos

    Abhinav Gupta;Praveen Srinivasan;Jianbo Shi;Larry S Davis

  • Segmentation given partial grouping constraints

    S.X. Yu;Jianbo Shi

  • FoveaBox: Beyound Anchor-Based Object Detection

    Tao Kong;Fuchun Sun;Huaping Liu;Yuning Jiang

  • Object detection combining recognition and segmentation

    Liming Wang;Jianbo Shi;Gang Song;I-Fan Shen

Frequent Co-Authors

Stella X. Yu
Stella X. Yu University of Michigan–Ann Arbor
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)
Jitendra Malik
Jitendra Malik University of California, Berkeley
James C. Gee
James C. Gee University of Pennsylvania
Martial Hebert
Martial Hebert Carnegie Mellon University
Kostas Daniilidis
Kostas Daniilidis University of Pennsylvania
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Simon Baker
Simon Baker Microsoft (United States)
Serge Belongie
Serge Belongie University of Copenhagen
Christoph Feichtenhofer
Christoph Feichtenhofer Meta Platforms, Inc.

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