World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3901
World Ranking
13231
National Ranking
5306

Overview

Peter Henry Tu is a researcher affiliated with General Electric in the United States, specializing in the field of Computer Science. Their work predominantly spans areas such as Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics, Radiology, Nuclear Medicine and Imaging, and Computational Theory and Mathematics.

Their research topics cover a variety of advanced subjects, including:

  • Generative Adversarial Networks and Image Synthesis
  • Topic Modeling
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Artificial Intelligence in Healthcare and Education
  • Natural Language Processing Techniques
  • Speech and dialogue systems

Peter Henry Tu has contributed to academic literature in multiple venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • International Journal of Semantic Computing
  • Frontiers in Computer Science
  • AI Magazine

Recent papers authored or co-authored by Peter Henry Tu include:

  • "Emergent Languages from Pretrained Embeddings Characterize Latent Concepts in Dynamic Imagery" (2020) published in International Journal of Semantic Computing
  • "Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability" (2020) published on arXiv (Cornell University)
  • "Adversarial Purification with the Manifold Hypothesis" (2024) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages" (2020) published on arXiv (Cornell University)
  • "IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models" (2023) published on arXiv (Cornell University)

They have collaborated frequently with other researchers, including:

  • James Kubricht
  • Alberto Santamaría-Pang
  • Aritra Chowdhury
  • Zhaoyuan Yang
  • Richard Hartley

Peter Henry Tu has also contributed to academic books published by WORLD SCIENTIFIC (EUROPE) eBooks and The Open University. Notable titles include:

  • WORLD SCIENTIFIC (EUROPE) eBooks: "What is Artificial Intelligence?" (2020), "The Practical Philosophy of AI-Assistants" (2022)
  • The Open University: "Social Analysis and the COVID-19 Crisis: A Collective Journal" (2020), "What is artificial intelligence? a conversation between an AI engineer and a humanities researcher" (2020)

Best Publications

  • Shape and Appearance Context Modeling

    Xiaogang Wang;G. Doretto;T. Sebastian;J. Rittscher

  • Appearance-based person reidentification in camera networks: problem overview and current approaches

    Gianfranco Doretto;Thomas Sebastian;Peter H. Tu;Jens Rittscher

  • Simultaneous estimation of segmentation and shape

    J. Rittscher;P.H. Tu;N. Krahnstoever

  • Surveillance systems and methods

    Timothy Patrick Kelliher;Jens Rittscher;Peter Henry Tu;Kevin Chean

  • Detecting and counting people in surveillance applications

    X. Liu;P.H. Tu;J. Rittscher;A. Perera

  • System and method for protocol adherence

    Christopher Donald Johnson;Peter Henry Tu;Piero Patrone Bonissone;John Michael Lizzi

  • Learning person-specific models for facial expression and action unit recognition

    Jixu Chen;Xiaoming Liu;Peter Tu;Amy Aragones

  • Unified Crowd Segmentation

    Peter H. Tu;Thomas Sebastian;Gianfranco Doretto;Nils Krahnstoever

  • A novel method of automated skull registration for forensic facial approximation.

    W.D. Turner;R.E.B. Brown;T.P. Kelliher;P.H. Tu

  • Collaborative Real-Time Control of Active Cameras in Large Scale Surveillance Systems

    Nils Krahnstoever;Ting Yu;Ser-Nam Lim;Kedar Patwardhan

  • Video surveillance: past, present, and now the future [DSP Forum]

    Fatih Porikli;Francois Bremond;Shiloh L. Dockstader;James Ferryman

  • Stand-off Iris Recognition System

    F.W. Wheeler;A.G.A. Perera;G. Abramovich;Bing Yu

  • Face recognition at a distance system for surveillance applications

    Frederick W. Wheeler;Richard L. Weiss;Peter H. Tu

  • Multi-Frame Super-Resolution for Face Recognition

    F.W. Wheeler;Xiaoming Liu;P.H. Tu

  • Werkwijzen en apparaten voor verwerken van beelddata om te helpen bij detecteren van ziekte.

    Turek Matthew William;Mundy Joseph Leagrand;Pan Tony Chi-Shao;Tu Peter Henry

  • System and method to manage delivery of healthcare to a patient

    Christopher Johnson;Kunter Akbay;Andrew Day;Gianfranco Doretto

  • What are customers looking at

    Xiaoming Liu;N. Krahnstoever;Ting Yu;P. Tu

  • System and method of providing security for a site

    Timothy Patrick Kelliher;Jens Rittscher;Peter Henry Tu;Douglas H. Marman

  • System and method for passive face recognition

    Peter Henry Tu;Timothy Patrick Kelliher;Jens Ritscher;Nils Oliver Krahnstoever

  • Monitoring system and method based on information prior to the point of sale

    Timothy Kelliher;Mark Grabb;Douglas Marman;Peter Tu

  • Activity Recognition using Visual Tracking and RFID

    N. Krahnstoever;J. Rittscher;P. Tu;K. Chean

Frequent Co-Authors

Xiaoming Liu
Xiaoming Liu University of North Carolina at Chapel Hill
Jens Rittscher
Jens Rittscher University of Oxford
Richard Hartley
Richard Hartley Australian National University
Joseph L. Mundy
Joseph L. Mundy Brown University
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Ying Wu
Ying Wu Northwestern University
François Brémond
François Brémond French Institute for Research in Computer Science and Automation - INRIA
Piero P. Bonissone
Piero P. Bonissone General Electric (United States)
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Longyin Wen
Longyin Wen ByteDance

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of related online degrees and certifications. For those interested in technology and innovation, the best online electrical engineering programs USA can be an excellent complement to computer science, offering solid skills in hardware, systems, and emerging technologies.

Looking for faster ways to boost your credentials? Consider pursuing easy certifications that pay well. Many IT and technology certifications can be completed in a short time and lead to attractive salaries in areas such as cybersecurity, cloud computing, and data analysis.

Time and affordability are also important factors. If you want to advance your education quickly, look into the quickest cheapest masters degree programs. These options allow you to earn a recognized qualification in less time and at a lower cost.

Finally, choosing one of which master's degree is most in demand in usa can greatly enhance your career prospects. Degrees in areas like data science, AI, and software engineering continue to be highly sought after by employers across the country.

Best Scientists Citing Peter Henry Tu

Trending Scientists