World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
13560
World Ranking
7400
National Ranking
3227

Overview

Aseem Agarwala is a researcher affiliated with Adobe Systems in the United States. Their work primarily spans the fields of Computer Science and Engineering, with a focus on Computer Vision and Pattern Recognition.

Their recent publications reflect active engagement with topics such as advanced vision and imaging, neural network applications, and image processing. Key areas of research include advanced neural network applications, medical image segmentation techniques, image and video stabilization, optical measurement and interference techniques, advanced image and video retrieval techniques, and image enhancement techniques.

Some of the prominent recent papers authored or coauthored by Agarwala include:

  • Neural Volumetric Object Selection, 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Homography Estimation for Dynamic Scenes, 2020, published on arXiv (Cornell University)
  • Neural Volumetric Object Selection, 2022, available on arXiv (Cornell University)

Their frequent coauthors encompass a group of specialists who have collaborated with Agarwala multiple times on related topics. These collaborators include Zhongzheng Ren, Bryan Russell, Alexander G. Schwing, Oliver Wang, and Feng Liu.

Agarwala's work has appeared often in venues such as arXiv (Cornell University) and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), indicating ongoing contributions to key platforms in the field.

Best Publications

  • High-quality motion deblurring from a single image

    Qi Shan;Jiaya Jia;Aseem Agarwala

  • A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors

    R. Szeliski;R. Zabih;D. Scharstein;O. Veksler

  • Interactive digital photomontage

    Aseem Agarwala;Mira Dontcheva;Maneesh Agrawala;Steven Drucker

  • Video Frame Synthesis Using Deep Voxel Flow

    Ziwei Liu;Raymond A. Yeh;Xiaoou Tang;Yiming Liu

  • Content-preserving warps for 3D video stabilization

    Feng Liu;Michael Gleicher;Hailin Jin;Aseem Agarwala

  • Recognizing Image Style.

    Sergey Karayev;Matthew Trentacoste;Helen Han;Aseem Agarwala

  • A comparative study of energy minimization methods for markov random fields

    Richard Szeliski;Ramin Zabih;Daniel Scharstein;Olga Veksler

  • Video matting of complex scenes

    Yung-Yu Chuang;Aseem Agarwala;Brian Curless;David H. Salesin

  • Subspace video stabilization

    Feng Liu;Michael Gleicher;Jue Wang;Hailin Jin

  • Keyframe-based tracking for rotoscoping and animation

    Aseem Agarwala;Aaron Hertzmann;David H. Salesin;Steven M. Seitz

  • Photographing long scenes with multi-viewpoint panoramas

    Aseem Agarwala;Maneesh Agrawala;Michael Cohen;David Salesin

  • Color compatibility from large datasets

    Peter O'Donovan;Aseem Agarwala;Aaron Hertzmann

  • Panoramic video textures

    Aseem Agarwala;Ke Colin Zheng;Chris Pal;Maneesh Agrawala

  • Tangible interaction + graphical interpretation: a new approach to 3D modeling

    David Anderson;James L. Frankel;Joe Marks;Aseem Agarwala

  • Computational rephotography

    Soonmin Bae;Aseem Agarwala;Frédo Durand

  • Efficient gradient-domain compositing using quadtrees

    Aseem Agarwala

  • Learning Layouts for Single-PageGraphic Designs

    Peter ODonovan;Aseem Agarwala;Aaron Hertzmann

  • Optimizing content-preserving projections for wide-angle images

    Robert Carroll;Maneesh Agrawal;Aseem Agarwala

  • Exploratory font selection using crowdsourced attributes

    Peter O'Donovan;Jānis Lībeks;Aseem Agarwala;Aaron Hertzmann

  • DesignScape: Design with Interactive Layout Suggestions

    Peter O'Donovan;Aseem Agarwala;Aaron Hertzmann

Frequent Co-Authors

Hailin Jin
Hailin Jin Adobe Systems (United States)
Maneesh Agrawala
Maneesh Agrawala Stanford University
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Jonathan Brandt
Jonathan Brandt Adobe Systems (United States)
Jianchao Yang
Jianchao Yang ByteDance
Brian Curless
Brian Curless University of Washington
David Salesin
David Salesin Google (United States)
Michael F. Cohen
Michael F. Cohen Facebook (United States)
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Richard Szeliski
Richard Szeliski University of Washington

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