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