World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
9562
World Ranking
11007
National Ranking
4580

Overview

Jonathan Brandt is affiliated with Adobe Systems in the United States and focuses on research primarily within the medicine and health professions fields. Their work is concentrated in the subfields of endocrinology, diabetes, and metabolism, as well as general health professions.

The main topics of Brandt's research include:

  • Diabetes Management and Research
  • Diabetes Management and Education
  • Mobile Health and mHealth Applications
  • Mental Health and Patient Involvement

Brandt's recent publications address issues related to type 1 diabetes and exercise. These include:

  • "How we do it": A qualitative study of strategies for adopting an exercise routine while living with type 1 diabetes (2023), published in Frontiers in Endocrinology
  • Restructuring Clinical Trials in Type 1 Diabetes and Exercise in the Context of Adult Patient-Oriented Research: An Intervention Codevelopment Protocol (2020), published in Canadian Journal of Diabetes

Their work has been cited in the academic community, with citations including 7 for the 2023 qualitative study and 2 for the 2020 clinical trials protocol.

Frequent coauthors in Brandt's research collaborations include:

  • Jane E. Yardley
  • Nika Klaprat
  • Natasha Gregoire
  • Jonathan McGavock
  • Cristine Vlcek

Brandt's research has been published notably in the venues Frontiers in Endocrinology and Canadian Journal of Diabetes, each featuring at least one publication.

Best Publications

  • A convolutional neural network cascade for face detection

    Haoxiang Li;Zhe Lin;Xiaohui Shen;Jonathan Brandt

  • Interactive facial feature localization

    Vuong Le;Jonathan Brandt;Zhe Lin;Lubomir Bourdev

  • Top-Down Neural Attention by Excitation Backprop

    Jianming Zhang;Sarah Adel Bargal;Zhe Lin;Jonathan Brandt

  • Top-Down Neural Attention by Excitation Backprop

    Jianming Zhang;Zhe L. Lin;Jonathan Brandt;Xiaohui Shen

  • Robust object detection via soft cascade

    L. Bourdev;J. Brandt

  • Continuous skeleton computation by Voronoi diagram

    Jonathan W. Brandt;V. Ralph Algazi

  • Object retrieval and localization with spatially-constrained similarity measure and k-NN re-ranking

    Xiaohui Shen;Zhe Lin;Jonathan Brandt;Shai Avidan

  • Probabilistic Elastic Matching for Pose Variant Face Verification

    Haoxiang Li;Gang Hua;Zhe Lin;Jonathan Brandt

  • Extracting a time-sequence of slides from video

    Jonathan Worthen Brandt;Shenchang Eric Chen

  • Detecting and Aligning Faces by Image Retrieval

    Xiaohui Shen;Zhe Lin;Jonathan Brandt;Ying Wu

  • Method and system for creation, delivery, and presentation of time-synchronized multimedia presentations

    David R. Horner;Jonathan W. Brandt

  • Extracting photographic images from video

    Shenchang Eric Chen;Jonathan Worthen Brandt

  • Exemplar-Based Face Parsing

    Brandon M. Smith;Li Zhang;Jonathan Brandt;Zhe Lin

  • Eigen-PEP for Video Face Recognition

    Haoxiang Li;Gang Hua;Xiaohui Shen;Zhe L. Lin

  • DeepFont: Identify Your Font from An Image

    Zhangyang Wang;Jianchao Yang;Hailin Jin;Eli Shechtman

  • Efficient Boosted Exemplar-Based Face Detection

    Haoxiang Li;Zhe Lin;Jonathan Brandt;Xiaohui Shen

  • Exemplar-Based Graph Matching for Robust Facial Landmark Localization

    Feng Zhou;Jonathan Brandt;Zhe Lin

  • Transform coding for fast approximate nearest neighbor search in high dimensions

    Jonathan Brandt

  • Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation

    Haoxiang Li;Gang Hua;Zhe Lin;Jonathan Brandt

  • Convergence and continuity criteria for discrete approximations of the continuous planar skeleton

    Jonathan W. Brandt

Frequent Co-Authors

Zhe Lin
Zhe Lin Adobe Systems (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Jianchao Yang
Jianchao Yang ByteDance
Hailin Jin
Hailin Jin Adobe Systems (United States)
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Zhaowen Wang
Zhaowen Wang Adobe Systems (United States)
Radomir Mech
Radomir Mech Adobe Systems (United States)

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