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Computer Science

D-Index
85
Citations
25354
World Ranking
812
National Ranking
442

Research.com Recognitions

  • 2009 - Fellow of the MacArthur Foundation
  • 2008 - Hellman Fellow
  • 2007 - Fellow of Alfred P. Sloan Foundation

Overview

Maneesh Agrawala is affiliated with Stanford University in the United States. Their research spans areas primarily in computer science and engineering, focusing on several specialized subfields and topics.

The main fields of study for Agrawala include:

  • Computer Science
  • Engineering

Their research subfields of study encompass:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Computational Mechanics
  • Control and Systems Engineering

Agrawala's work covers the following main topics:

  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Video Analysis and Summarization
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Human Pose and Action Recognition

Recent papers authored by or involving Agrawala include:

  • Adding Conditional Control to Text-to-Image Diffusion Models, 2023, published in arXiv (Cornell University)
  • Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images, 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Vid2Player: Controllable Video Sprites That Behave and Appear Like Professional Tennis Players, 2021, published in ACM Transactions on Graphics
  • Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting, 2021, published in ACM Transactions on Graphics
  • Differentiable 3D CAD Programs for Bidirectional Editing, 2022, appeared in Computer Graphics Forum

Frequently collaborating with Agrawala are the following co-authors:

  • Lvmin Zhang
  • Kayvon Fatahalian
  • Ohad Fried
  • Ceyuan Yang
  • Gordon Wetzstein

The venues where Agrawala frequently publishes include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Computer Graphics Forum
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Institutional Research Information System (Università degli Studi di Trento)

Agrawala has been recognized with awards including:

  • Fellow of the MacArthur Foundation, 2009
  • Hellman Fellow, 2008
  • Fellow of Alfred P. Sloan Foundation, 2007

Best Publications

  • Digital photography with flash and no-flash image pairs

    Georg Petschnigg;Richard Szeliski;Maneesh Agrawala;Michael Cohen

  • Interactive digital photomontage

    Aseem Agarwala;Mira Dontcheva;Maneesh Agrawala;Steven Drucker

  • Interactive video cutout

    Jue Wang;Pravin Bhat;R. Alex Colburn;Maneesh Agrawala

  • Rendering effective route maps: improving usability through generalization

    Maneesh Agrawala;Chris Stolte

  • Gaze-based interaction for semi-automatic photo cropping

    Anthony Santella;Maneesh Agrawala;Doug DeCarlo;David Salesin

  • Saliency in VR: How Do People Explore Virtual Environments?

    Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala

  • Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation

    J. Heer;J. Mackinlay;C. Stolte;M. Agrawala

  • Multiscale shape and detail enhancement from multi-light image collections

    Raanan Fattal;Maneesh Agrawala;Szymon Rusinkiewicz

  • Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations

    Jeffrey Heer;Nicholas Kong;Maneesh Agrawala

  • The two-user Responsive Workbench: support for collaboration through individual views of a shared space

    Maneesh Agrawala;Andrew C. Beers;Ian McDowall;Bernd Fröhlich

  • Interactive furniture layout using interior design guidelines

    Paul Merrell;Eric Schkufza;Zeyang Li;Maneesh Agrawala

  • Design Considerations for Collaborative Visual Analytics

    J. Heer;M. Agrawala

  • State of the Art on Neural Rendering

    Ayush Tewari;Ohad Fried;Justus Thies;Vincent Sitzmann

  • Scented Widgets: Improving Navigation Cues with Embedded Visualizations

    W. Willett;J. Heer;M. Agrawala

  • Interactive 3D architectural modeling from unordered photo collections

    Sudipta N. Sinha;Drew Steedly;Richard Szeliski;Maneesh Agrawala

  • Designing effective step-by-step assembly instructions

    Maneesh Agrawala;Doantam Phan;Julie Heiser;John Haymaker

  • Hover widgets: using the tracking state to extend the capabilities of pen-operated devices

    Tovi Grossman;Ken Hinckley;Patrick Baudisch;Maneesh Agrawala

  • ReVision: automated classification, analysis and redesign of chart images

    Manolis Savva;Nicholas Kong;Arti Chhajta;Li Fei-Fei

  • Software Design Patterns for Information Visualization

    J. Heer;Maneesh Agrawala

  • Photographing long scenes with multi-viewpoint panoramas

    Aseem Agarwala;Maneesh Agrawala;Michael Cohen;David Salesin

  • Advances in neural rendering

    A. Tewari;O. Fried;J. Thies;V. Sitzmann

  • A Framework for content-adaptive photo manipulation macros: Application to face, landscape, and global manipulations

    Floraine Berthouzoz;Wilmot Li;Mira Dontcheva;Maneesh Agrawala

  • Saliency in VR: How do people explore virtual environments?

    Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala

Frequent Co-Authors

David Salesin
David Salesin Google (United States)
Wilmot Li
Wilmot Li Adobe Systems (United States)
Björn Hartmann
Björn Hartmann University of California, Berkeley
Jeffrey Heer
Jeffrey Heer University of Washington
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Steven M. Drucker
Steven M. Drucker Microsoft (United States)
Ken Hinckley
Ken Hinckley Microsoft (United States)
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Brian Curless
Brian Curless University of Washington
Andrew D. Wilson
Andrew D. Wilson Microsoft (United States)

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