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.
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Assistant Professor
311 Gates Hall
Cornell University
bharathh-AT-cs-DOT-cornell-DOT-edu
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New!
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Extreme Rotation Estimation using Dense Correlation Volumes
Ruojin Cai, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely
In CVPR, 2021
bibtex
@inproceedings{Cai2021Extreme,
title = {Extreme Rotation Estimation using Dense Correlation Volumes},
author = {Ruojin Cai and Hadar Averbuch-Elor and Bharath Hariharan and Noah Snavely},
year = {2021},
booktitle = {CVPR}
}
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Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge Belongie
In CVPR, 2021 (Oral)
bibtex
@inproceedings{Luo2021Stay,
title = {Stay Positive: Non-Negative Image Synthesis for Augmented Reality},
author = {Katie Luo and Guandao Yang and Wenqi Xian and Harald Haraldsson and Bharath Hariharan and Serge Belongie},
year = {2021},
booktitle = {CVPR}
}
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Can We Characterize Tasks Without Labels or Features?
Bram Wallace, Ziyang Wu, Bharath Hariharan
In CVPR, 2021
bibtex
@inproceedings{Wallace2021Can,
title = {Can We Characterize Tasks Without Labels or Features?},
author = {Bram Wallace and Ziyang Wu and Bharath Hariharan},
year = {2021},
booktitle = {CVPR}
}
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Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks
Davis Wertheimer, Luming Tang, Bharath Hariharan
In CVPR, 2021
bibtex
@inproceedings{Wertheimer2021FRN,
title = {Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks},
author = {Davis Wertheimer and Luming Tang and Bharath Hariharan},
year = {2021},
booktitle = {CVPR}
}
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PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Jang Hyun Cho, Utkarsh Mall, Kavita Bala, Bharath Hariharan
In CVPR, 2021
bibtex
@inproceedings{Cho2021PiCIE,
title = {PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering},
author = {Jang Hyun Cho and Utkarsh Mall and Kavita Bala and Bharath Hariharan},
year = {2021},
booktitle = {CVPR}
}
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Self-training For Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo, Bharath Hariharan
In ICLR, 2021 (Oral)
pdf  bibtex
@inproceedings{Phoo2020Self,
title = {Self-training For Few-shot Transfer Across Extreme Task Differences},
author = {Cheng Perng Phoo and Bharath Hariharan},
year = {2021},
booktitle = {ICLR}
}
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Wasserstein Distances for Stereo Depth Estimation
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, Wei-Lun Chao
In NeurIPS, 2020 (Oral)
pdf  project page  bibtex
@inproceedings{Garg2020Wasserstein,
title = {Wasserstein Distances for Stereo Depth Estimation},
author = {Divyansh Garg and Yan Wang and Bharath Hariharan and Mark Campbell and Kilian Q Weinberger and Wei-Lun Chao},
year = {2020},
booktitle = {NeurIPS}
}
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