Bharath Hariharan

We are all trapped between the beautiful blueprints of the most perfect systems and the World that contradicts itself, the World that is "large and contains multitudes" - Stefan Themerson, The Mystery of the Sardine



NEW I am excited to announce that I will be starting as an assistant professor at Cornell in Fall 2017!
I am currently a post-doc working with Ross Girshick and Larry Zitnick at Facebook AI Research. I was a graduate student with Prof. Jitendra Malik in the Vision group at University of California Berkeley. I did my undergraduate at the Indian Institute of Technology, Delhi. My interests are in Computer Vision and Machine learning. Contact me at bharathh-AT-fb-DOT-com.

Papers in review

  • NEW Low-shot learning with large-scale diffusion
    Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou
    arxiv

Conference Publications

  • NEW Selecting the Best VM across Multiple Public Clouds: A Data-Driven Performance Modeling Approach
    Neeraja J. Yadwadkar, Bharath Hariharan, Joseph E Gonzalez, Burton Smith, Randy Katz
    SoCC, 2017 (To appear).
  • NEW Low-shot Visual Recognition by Shrinking and Hallucinating Features
    Bharath Hariharan, Ross Girshick
    ICCV, 2017 (To appear).
    arxiv    supplementary    code
  • NEW Inferring and Executing Programs for Visual Reasoning
    Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
    ICCV, 2017 (To appear).
    arxiv    project page
  • NEW Learning Features by Watching Objects Move
    Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan
    CVPR, 2017 (To appear).
    arxiv    bib    project page
  • NEW CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
    Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
    CVPR, 2017 (To appear).
    arxiv    bib    project page
  • NEW Feature Pyramid Networks for Object Detection
    Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie
    CVPR, 2017 (To appear).
    arxiv    bib
  • Iterative Instance Segmentation
    Ke Li, Bharath Hariharan, Jitendra Malik
    CVPR, 2016.
    pdf    bib    abstract
  • DeepBox: Learning Objectness with Convolutional Networks
    Weicheng Kuo, Bharath Hariharan, Jitendra Malik
    ICCV, 2015.
    pdf    bib    abstract
  • Hypercolumns for Object Segmentation and Fine-grained Localization
    Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik
    CVPR, 2015 (Oral).
    pdf    bib    abstract    code
  • Faster Jobs in Distributed Data Processing using Multi-Task Learning
    Neeraja J. Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy Katz
    SDM, 2015.
    pdf
  • Simultaneous Detection and Segmentation
    Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik
    ECCV,2014.
    pdf    bib    abstract    project page
  • Detecting objects using Deformation Dictionaries
    Bharath Hariharan, Larry Zitnick, Piotr Dollar
    CVPR, 2014.
    pdf    bib    abstract    code
  • Using k-poselets for detecting people and localizing their keypoints
    Georgia Gkioxari*, Bharath Hariharan*, Ross Girshick, Jitendra Malik
    CVPR, 2014.
    *equal contribution
    pdf    bib    abstract    code
  • Verification as learning geometric concepts
    Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, Aditya Nori
    Static Analysis Symposium (SAS), 2013.
    pdf
  • A Data Driven Approach for Algebraic Loop Invariants
    Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, Percy Liang, Aditya Nori
    European Symposium on Programming (ESOP), 2013. pdf
  • Discriminative decorrelation for clustering and classification
    Bharath Hariharan, Jitendra Malik, Deva Ramanan
    ECCV, 2012.
    pdf    bib    abstract
  • Semantic segmentation using regions and parts
    Pablo Arbeláez, Bharath Hariharan, Chunhui Gu, Saurabh Gupta, Lubomir Bourdev, Jitendra Malik
    CVPR, 2012.
    pdf    bib    abstract
  • Semantic contours from inverse detectors
    Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, Jitendra Malik
    ICCV, 2011.
    pdf    bib    abstract    dataset
  • Large scale max-margin multi-label classification with priors
    Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma
    ICML, 2010.
    pdf    bib    abstract    code

Journal Publications

  • Object Instance Segmentation and Fine-grained Localization using Hypercolumns
    Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik
    TPAMI, 2016.
    pdf    bib    abstract    code
  • Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
    Neeraja J. Yadwadkar, Bharath Hariharan, Joseph Gonzales, Randy Katz
    JMLR, 2016.
    pdf    bib    abstract
  • Efficient max-margin multi-label classification with applications to zero-shot learning
    Bharath Hariharan, S. V. N. Vishwanathan, Manik Varma
    Machine Learning, 2012.
    pdf    bib    abstract

Other reports

  • Beyond Bounding Boxes: Precise Localization of Objects in Images (Thesis)
    Tech report    code
  • R-CNNs for Pose Estimation and Action Detection
    Georgia Gkioxari, Bharath Hariharan, Ross Girshick, Jitendra Malik
    arxiv    pdf    bib    abstract    project page