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Computer Science

D-Index
63
Citations
26224
World Ranking
2685
National Ranking
1332

Overview

David W. Jacobs is a researcher affiliated with the University of Maryland, College Park in the United States. Their work primarily spans the field of Computer Science, with a focus on several specialized subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Environmental Engineering, Computational Mechanics, and Civil and Structural Engineering.

The scientist's research covers a range of main topics, as reflected in their publications. These topics include:

  • Advanced Vision and Imaging
  • Face recognition and analysis
  • Optical measurement and interference techniques
  • Remote Sensing and LiDAR Applications
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Structural Engineering and Vibration Analysis

David W. Jacobs has contributed to multiple publication venues, frequently appearing in:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Practice Periodical on Structural Design and Construction
  • Bulletin of The Royal College of Surgeons of England

Among their recent papers are:

  • "SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Fast Light-Weight Near-Field Photometric Stereo," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Autoregressive Perturbations for Data Poisoning," 2022, arXiv (Cornell University)
  • "Towards Automatic Generation of Questions from Long Answers," 2020, arXiv (Cornell University)
  • "Live-Load Response of Eyebars on a 110-Year-Old Steel Truss Railroad Bridge," 2020, Practice Periodical on Structural Design and Construction

Frequent coauthors working alongside David W. Jacobs include:

  • Daniel Lichy
  • Soumyadip Sengupta
  • Bang Gong
  • Roni Sengupta
  • Angjoo Kanazawa

Best Publications

  • Lambertian reflectance and linear subspaces

    R. Basri;D.W. Jacobs

  • Localizing Parts of Faces Using a Consensus of Exemplars

    Peter N. Belhumeur;David W. Jacobs;David J. Kriegman;Neeraj Kumar

  • End-to-End Recovery of Human Shape and Pose

    Angjoo Kanazawa;Michael J. Black;David W. Jacobs;Jitendra Malik

  • Shape Classification Using the Inner-Distance

    Haibin Ling;D.W. Jacobs

  • A search engine for 3D models

    Thomas Funkhouser;Patrick Min;Michael Kazhdan;Joyce Chen

  • Leafsnap: a computer vision system for automatic plant species identification

    Neeraj Kumar;Peter N. Belhumeur;Arijit Biswas;David W. Jacobs

  • Mesh saliency

    Chang Ha Lee;Amitabh Varshney;David W. Jacobs

  • Generalized Multiview Analysis: A discriminative latent space

    Abhishek Sharma;Abhishek Kumar;Hal Daume;David W. Jacobs

  • Frontal to profile face verification in the wild

    Soumyadip Sengupta;Jun-Cheng Chen;Carlos Castillo;Vishal M. Patel

  • Stochastic completion fields: a neural model of illusory contour shape and salience

    Lance R. Williams;David W. Jacobs

  • Photometric Stereo with General, Unknown Lighting

    Ronen Basri;David Jacobs;Ira Kemelmacher

  • Dynamic changes in motivation in collaborative citizen-science projects

    Dana Rotman;Jenny Preece;Jen Hammock;Kezee Procita

  • Automatic thumbnail cropping and its effectiveness

    Bongwon Suh;Haibin Ling;Benjamin B. Bederson;David W. Jacobs

  • Determining the similarity of deformable shapes

    Ronen Basri;Luiz Costa;Davi Geiger;David Jacobs

  • Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch

    Abhishek Sharma;David W Jacobs

  • In search of illumination invariants

    H.F. Chen;P.N. Belhumeur;D.W. Jacobs

  • Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds

    Thomas Berg;Jiongxin Liu;Seung Woo Lee;Michelle L. Alexander

  • 3D Menagerie: Modeling the 3D Shape and Pose of Animals

    Silvia Zuffi;Angjoo Kanazawa;David W. Jacobs;Michael J. Black

  • SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'

    Soumyadip Sengupta;Angjoo Kanazawa;Carlos D. Castillo;David W. Jacobs

  • Robust and efficient detection of salient convex groups

    D.W. Jacobs

Frequent Co-Authors

Ronen Basri
Ronen Basri Weizmann Institute of Science
Tom Goldstein
Tom Goldstein University of Maryland, College Park
Angjoo Kanazawa
Angjoo Kanazawa University of California, Berkeley
Peter N. Belhumeur
Peter N. Belhumeur Columbia University
Haibin Ling
Haibin Ling Westlake University
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Lise Getoor
Lise Getoor University of California, Santa Cruz
Michael Lindenbaum
Michael Lindenbaum Technion – Israel Institute of Technology
Daphna Weinshall
Daphna Weinshall Hebrew University of Jerusalem

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