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Computer Science

D-Index
46
Citations
17852
World Ranking
6656
National Ranking
2939

Overview

Bryan C. Russell is a researcher affiliated with Adobe Systems in the United States. Their work primarily spans the field of Computer Science, with a focus on Computer Vision and Pattern Recognition, encompassing 45 publications in this subfield among a total of 69 across various domains.

Their research interests include a range of topics such as:

  • Advanced Vision and Imaging
  • Music and Audio Processing
  • Human Pose and Action Recognition
  • Video Analysis and Summarization
  • Human Motion and Animation
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning

Bryan C. Russell has contributed to several publication venues, with the most frequent including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent papers authored or co-authored by Russell include:

  • "Neural Volumetric Object Selection," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "It's Time for Artistic Correspondence in Music and Video," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Monocular Dynamic View Synthesis: A Reality Check," 2022, arXiv (Cornell University)
  • "Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Focal Length and Object Pose Estimation via Render and Compare," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators in their research include:

  • Josef Šivic
  • Justin Salamon
  • Fabian Caba Heilbron
  • Antonio Torralba
  • Yann Labbé

Best Publications

  • LabelMe: A Database and Web-Based Tool for Image Annotation

    Bryan C. Russell;Antonio Torralba;Kevin P. Murphy;William T. Freeman

  • Discovering objects and their location in images

    J. Sivic;B.C. Russell;A.A. Efros;A. Zisserman

  • Using Multiple Segmentations to Discover Objects and their Extent in Image Collections

    B.C. Russell;W.T. Freeman;A.A. Efros;J. Sivic

  • Localizing Moments in Video with Natural Language

    Lisa Anne Hendricks;Lisa Anne Hendricks;Oliver Wang;Eli Shechtman;Josef Sivic

  • Discovering object categories in image collections

    Josef Sivic;Bryan C. Russell;Alexei A. Efros;Andrew Zisserman

  • A Papier-Mâché Approach to Learning 3D Surface Generation

    Thibault Groueix;Matthew Fisher;Vladimir G. Kim;Bryan C. Russell

  • A Papier-Mache Approach to Learning 3D Surface Generation

    Thibault Groueix;Matthew Fisher;Vladimir G. Kim;Bryan C. Russell

  • Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models

    Mathieu Aubry;Daniel Maturana;Alexei A. Efros;Alexei A. Efros;Bryan C. Russell

  • ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification

    Rohit Girdhar;Rohit Girdhar;Deva Ramanan;Abhinav Gupta;Josef Sivic

  • LabelMe: Online Image Annotation and Applications

    Antonio Torralba;Bryan C Russell;Jenny Yuen

  • BodyNet: Volumetric Inference of 3D Human Body Shapes

    Gül Varol;Duygu Ceylan;Bryan C. Russell;Jimei Yang

  • AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation

    Thibault Groueix;Matthew Fisher;Vladimir G. Kim;Bryan C. Russell

  • FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images

    Christian Zimmermann;Duygu Ceylan;Jimei Yang;Bryan Russell

  • 3D-CODED: 3D Correspondences by Deep Deformation

    Thibault Groueix;Matthew Fisher;Vladimir G. Kim;Bryan C. Russell

  • Dataset issues in object recognition

    Jean Ponce;Jean Ponce;Tamara L. Berg;Mark Everingham;David A. Forsyth

  • Unsupervised discovery of visual object class hierarchies

    J. Sivic;B.C. Russell;A. Zisserman;W.T. Freeman

  • Marr Revisited: 2D-3D Alignment via Surface Normal Prediction

    Aayush Bansal;Bryan Russell;Abhinav Gupta

  • LabelMe video: Building a video database with human annotations

    Jenny Yuen;Bryan Russell;Ce Liu;Antonio Torralba

  • Learning Visual Importance for Graphic Designs and Data Visualizations

    Zoya Bylinskii;Nam Wook Kim;Peter O'Donovan;Sami Alsheikh

  • AtlasNet: A Papier-M\^ach'e Approach to Learning 3D Surface Generation

    Thibault Groueix;Matthew Fisher;Vladimir G. Kim;Bryan C. Russell

  • LabelMe: Online Image Annotation and Applications By developing a publicly available tool that allows users to use the Internet to quickly and easily annotate images, the authors were able to collect many detailed image descriptions.

    Antonio Torralba;Bryan C. Russell;Jenny Yuen

  • LabelMe: A Database and Web-based Tool for

    Bryan C. Russell;Antonio Torralba;Kevin P. Murphy;William T. Freeman

Frequent Co-Authors

Vladimir G. Kim
Vladimir G. Kim Adobe Systems (United States)
Josef Sivic
Josef Sivic Czech Technical University in Prague
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Andrew Zisserman
Andrew Zisserman University of Oxford
Jimei Yang
Jimei Yang Adobe Systems (United States)
Oliver Wang
Oliver Wang Adobe Systems (United States)
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Eli Shechtman
Eli Shechtman Adobe Systems (United States)

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