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Computer Science

D-Index
42
Citations
8606
World Ranking
8304
National Ranking
3560

Overview

Brian Price is a researcher affiliated with Adobe Systems in the United States. Their work predominantly spans the field of Computer Science, with a particular emphasis on Computer Vision and Pattern Recognition. Their research contributions extend into several related subfields including Artificial Intelligence, Ocean Engineering, Mechanical Engineering, and Music.

Their recent publications reflect a focus on various advanced techniques in image processing, machine learning, and generative models. Notable papers include:

  • Getting to 99% Accuracy in Interactive Segmentation, 2020, arXiv (Cornell University)
  • Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Text and Style Conditioned GAN for Generation of Offline Handwriting Lines, 2020, arXiv (Cornell University)
  • 3D reactive inkjet printing of bisphenol A-polycarbonate, 2022, Additive manufacturing
  • ObjectStitch: Generative Object Compositing, 2022, arXiv (Cornell University)

Their frequent coauthors include:

  • Scott Cohen (9 joint publications)
  • Danna Gurari (5 joint publications)
  • Zhe Lin (5 joint publications)
  • Seoung Wug Oh (4 joint publications)
  • Joon-Young Lee (4 joint publications)

Brian Price has contributed extensively to several publication venues, with a majority of papers appearing in arXiv (Cornell University). Other venues include the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Additive manufacturing, Computer Graphics Forum, and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Their main topics of research encompass a range of advanced machine learning and image processing techniques such as:

  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Handwritten Text Recognition Techniques
  • Image Processing and 3D Reconstruction
  • Advanced Vision and Imaging
  • Natural Language Processing Techniques

Best Publications

  • YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

    Ning Xu;Linjie Yang;Yuchen Fan;Jianchao Yang

  • Towards unified depth and semantic prediction from a single image

    Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen

  • Deep Image Matting

    Ning Xu;Brian Price;Scott Cohen;Thomas Huang

  • Minimum Barrier Salient Object Detection at 80 FPS

    Jianming Zhang;Stan Sclaroff;Zhe Lin;Xiaohui Shen

  • Deep Interactive Object Selection

    Ning Xu;Brian Price;Scott Cohen;Jimei Yang

  • Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

    Jimei Yang;Brian Price;Scott Cohen;Honglak Lee

  • Geodesic graph cut for interactive image segmentation

    Brian L. Price;Bryan Morse;Scott Cohen

  • Improving Image Matting Using Comprehensive Sampling Sets

    Ehsan Shahrian;Deepu Rajan;Brian Price;Scott Cohen

  • DVQA: Understanding Data Visualizations via Question Answering

    Kushal Kafle;Brian Price;Scott Cohen;Christopher Kanan

  • Inner and Inter Label Propagation: Salient Object Detection in the Wild

    Hongyang Li;Huchuan Lu;Zhe Lin;Xiaohui Shen

  • Automatic Portrait Segmentation for Image Stylization

    Xiaoyong Shen;Aaron Hertzmann;Jiaya Jia;Sylvain Paris

  • LIVEcut: Learning-based interactive video segmentation by evaluation of multiple propagated cues

    Brian L. Price;Bryan S. Morse;Scott Cohen

  • Discriminability Objective for Training Descriptive Captions

    Ruotian Luo;Gregory Shakhnarovich;Scott Cohen;Brian Price

  • Data Augmentation for Recognition of Handwritten Words and Lines Using a CNN-LSTM Network

    Curtis Wigington;Seth Stewart;Brian Davis;Bill Barrett

  • Context Driven Scene Parsing with Attention to Rare Classes

    Jimei Yang;Brian Price;Scott Cohen;Ming-Hsuan Yang

  • Effective learning-based illuminant estimation using simple features

    Dongliang Cheng;Brian Price;Scott Cohen;Michael S. Brown

  • When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images

    Mahmoud Afifi;Brian Price;Scott Cohen;Michael S. Brown

  • Salient Object Subitizing

    Jianming Zhang;Shugao Ma;Mehrnoosh Sameki;Stan Sclaroff

  • Deep grabcut for object selection

    Ning Xu;Brian L. Price;Scott Cohen;Jimei Yang

  • Joint Object and Part Segmentation Using Deep Learned Potentials

    Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen

  • Forecasting Human Dynamics from Static Images

    Yu-Wei Chao;Jimei Yang;Brian Price;Scott Cohen

  • Discriminability objective for training descriptive captions

    Ruotian Luo;Brian Price;Scott Cohen;Gregory Shakhnarovich

Frequent Co-Authors

Scott Cohen
Scott Cohen Adobe Systems (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Zhe Lin
Zhe Lin Adobe Systems (United States)
Jimei Yang
Jimei Yang Adobe Systems (United States)
Peng Wang
Peng Wang Baidu (China)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Michael S. Brown
Michael S. Brown York University
Radomir Mech
Radomir Mech Adobe Systems (United States)
Ahmed Elgammal
Ahmed Elgammal Rutgers, The State University of New Jersey
Stan Sclaroff
Stan Sclaroff Boston University

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