Bharath Hariharan

I am an associate professor in Computer Science at Cornell University. I work on computer vision and machine learning, in particular on important problems that defy the "Big Data" label. I enjoy problems that require marrying advances in machine learning with insights from computer vision, geometry and domain-specific knowledge. A sampling of the research problems my group works on is presented below; an exhaustive list of publications is available on scholar.


My work has been recognized with an NSF CAREER award and a PAMI Young Researcher Award.

My CV is here and my research statement is here.

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

Research

Recognition for satellite images and earth science

4D Reconstruction and recognition

Representative recent publications

Tracking and Understanding Object Transformations
Yihong Sun, Xinyu Yang, Jennifer J. Sun, Bharath Hariharan
In NeurIPS 2025.
paper    bibtex


@article{sun2025tracking,title={Tracking and Understanding Object Transformations},author={Sun, Yihong and Yang, Xinyu and Sun, Jennifer J and Hariharan, Bharath},journal={Advances in Neural Information Processing Systems},year={2025}}

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing
Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo, Kavita Bala, Bharath Hariharan
In NeurIPS 2025.
paper    bibtex


@inproceedings{revankar2025monitrs,title={MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing}, author={Shreelekha Revankar and Utkarsh Mall and Cheng Perng Phoo  and Kavita Bala and Bharath Hariharan},year={2025},booktitle={NeurIPS},url={https://arxiv.org/abs/2507.16228}, }

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
Utkarsh Mall, Cheng Perng Phoo, Mia Chiquier, Bharath Hariharan, Kavita Bala, Carl Vondrick
In CVPR 2025.
paper    bibtex


@inproceedings{disciple-25,title={DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery},author={Mall, Utkarsh and Phoo, Cheng Perng and Chiquier, Mia and Hariharan, Bharath and Bala, Kavita and Vondrick, Carl},booktitle={CVPR},year={2025}}

3D Synthesis for Architectural Design
I-Ting Tsai, Bharath Hariharan
In WACV 2025.
paper    bibtex


@inproceedings{Tsai20253D, title={3D Synthesis for Architectural Design},author={Tsai, I-Ting and Hariharan, Bharath}, booktitle={WACV}, year={2025}}

Scale-aware Recognition in Satellite Images under Resource Constraints
Shreelekha Revankar, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala
In ICLR 2025.
paper    bibtex


@inproceedings{revankar2025scaleawarerecognitionsatelliteimages,title={Scale-Aware Recognition in Satellite Images under Resource Constraints}, author={Shreelekha Revankar and Cheng Perng Phoo and Utkarsh Mall and Bharath Hariharan and Kavita Bala},year={2025},booktitle={ICLR},url={https://arxiv.org/abs/2411.00210}, }

MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos
Yihong Sun, Bharath Hariharan
In ECCV 2024.
paper    bibtex


@inproceedings{mod-uv,
title={MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos}, 
author={Sun, Yihong and Hariharan, Bharath}, 
booktitle={ECCV}, 
year={2024}}

Remote sensing vision-language foundation models without annotations via ground remote alignment
Utkarsh Mall, Cheng Perng Phoo, Meilin Kelsey Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala
In ICLR 2024.
paper    bibtex


@inproceedings{graft-24
,title={Remote sensing vision-language foundation models without annotations via ground remote alignment},
author={Mall, Utkarsh and Phoo, Cheng Perng and Liu, Meilin Kelsey and Vondrick, Carl and Hariharan, Bharath and Bala, Kavita},
booktitle={ICLR},
year={2024}}

Tracking Everything Everywhere All at Once
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
In ICCV 2023 (Best Student Paper)
paper    bibtex


@inproceedings{Wang2023Tracking,
title = {Tracking Everything Everywhere All at Once},
author = {Qianqian Wang and  Yen-Yu Chang and  Ruojin Cai and  Zhengqi Li and  Bharath Hariharan and  Aleksander Holynski and  Noah Snavely},
year = {2023},
booktitle = {ICCV}
}

Emergent Correspondence from Image Diffusion
Luming Tang, Menglin Jia, Qianqian Wang, Cheng Phoo, Bharath Hariharan
In NeurIPS 2023.
paper    bibtex


@inproceedings{Tang2023Emergent,
title = {Emergent Correspondence from Image Diffusion},
author = {Luming Tang and  Menglin Jia and  Qianqian Wang and  Cheng Phoo and  Bharath Hariharan},
year = {2023},
booktitle = {NeurIPS}
}

Visual Prompt Tuning
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim
In ECCV 2022.
paper    bibtex


@inproceedings{Jia2022Visual,
title = {Visual Prompt Tuning},
author = {Menglin Jia and  Luming Tang and  Bor-Chun Chen and  Claire Cardie and  Serge Belongie and  Bharath Hariharan and  Ser-Nam Lim},
year = {2022},
booktitle = {ECCV}
}