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
Note to prospective PhD students: Admissions at Cornell are done through a committee. If you are interested in working with me, please directly apply through the application website and mention my name
My interests are broadly in recognition in computer vision. I want to build systems that understand the visual world as well as people do. Currently, I am working on building systems that can learn about tens of thousands of visual concepts with very little or no supervision, produce rich and detailed outputs such as precise 3D shape, and reason about the world and communicate this reasoning to humans.
Before joining Cornell, I was a postdoc working with Ross Girshick, Piotr Dollár, Larry Zitnick, Laurens van der Maaten and other amazing people at Facebook AI Research. I did my PhD at beautiful Berkeley with Jitendra Malik. My CV is here.
311 Gates Hall
Cornell University
bharathh-AT-cs-DOT-cornell-DOT-edu
News
- I co-organized the eleventh Perceptual Organization in Computer Vision (POCV) workshop at ECCV this year with Deepak Pathak
Teaching
- CS6670 (Graduate computer vision): Fall 2018, Fall 2017
- CS4670 / 5670 (Undergraduate computer vision): Spring 2018
PhD students
- Davis Wong Wertheimer
Publications
Thesis
- Beyond Bounding Boxes: Precise Localization of Objects in Images (Thesis)
Tech report code
Computer Vision
- NewDesign Mining for Minecraft Architecture
Euisun Yoon, Erik Andersen, Bharath Hariharan, Ross Knepper
Artificial Intelligence and Interactive Digital Entertainment (AIIDE) , 2018.
pdf - NewLearning Single-View 3D Reconstruction with Limited Pose Supervision
Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan
ECCV, 2018.
pdf bib - Low-shot Learning from Imaginary Data
Yu-Xiong Wang, Ross Girshick, Martial Herbert, Bharath Hariharan
CVPR, 2018 (Spotlight).
arxiv bib - Low-shot learning with large-scale diffusion
Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou
CVPR, 2018.
pdf bib - Resource Aware Person Re-identification across Multiple Resolutions
Y. Wang, L. Wang, Y. You, X. Zou, V. Chen, S. Li, G. Huang, B. Hariharan, K. Weinberger
CVPR, 2018.
pdf bib - Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan, Ross Girshick
ICCV, 2017 (Spotlight).
arxiv supplementary code - 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 (Oral).
arxiv project page - Learning Features by Watching Objects Move
Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan
CVPR, 2017 .
arxiv bib project page - 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 .
arxiv bib project page - Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie
CVPR, 2017 .
arxiv bib - Iterative Instance Segmentation
Ke Li, Bharath Hariharan, Jitendra Malik
CVPR, 2016.
pdf bib abstract - Object Instance Segmentation and Fine-grained Localization using Hypercolumns
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik
TPAMI, 2016.
pdf bib abstract code - 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 - 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 - 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 - 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 - 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
Machine Learning Applications
- 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.
- Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
Neeraja J. Yadwadkar, Bharath Hariharan, Joseph Gonzales, Randy Katz
JMLR, 2016.
pdf bib abstract - Faster Jobs in Distributed Data Processing using Multi-Task Learning
Neeraja J. Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy Katz
SDM, 2015.
pdf - 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