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Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
Yihong Sun, Bharath Hariharan
In NeurIPS, 2023
TLDR : We improve unsupervised monocular depth estimation for dynamical scenes by modeling 3D independent flow and motion segmentation.
pdf  bibtex
@inproceedings{Yihong2023Dynamo,
title = {Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes},
author = {Yihong Sun and Bharath Hariharan},
year = {2023},
booktitle = {NeurIPS}
}
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Tracking Everything Everywhere All at Once
Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely
In ICCV, 2023 (Oral)[Best student paper]
TLDR : A neural field approach to estimating long-term correspondences even through occlusions
pdf  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}
}
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Emergent Correspondence from Image Diffusion
Luming Tang*, Menglin Jia*, Qianqian Wang*, Cheng Phoo, Bharath Hariharan
In NeurIPS, 2023
TLDR : Semantic and geometric correspondences can be extracted from diffusion models without any further training
pdf  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}
}
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Distilling from Similar Tasks for Transfer Learning on a Budget
Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan
In ICCV, 2023
TLDR : We train models for new domains with limited data and limited compute by identifying pre-training domains and distilling from them
pdf  bibtex
@inproceedings{Borup2023Distilling,
title = {Distilling from Similar Tasks for Transfer Learning on a Budget},
author = {Kenneth Borup and Cheng Perng Phoo and Bharath Hariharan},
year = {2023},
booktitle = {ICCV}
}
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Doppelgangers: Learning to Disambiguate Images of Similar Structures
Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely
In ICCV, 2023 (Oral)
TLDR : We learn to classify whether an image pair in an SfM pipeline captures the same structure, or similar but distinct structures
pdf  bibtex
@inproceedings{Cai2023Doppelgangers,
title = {Doppelgangers: Learning to Disambiguate Images of Similar Structures},
author = {Ruojin Cai and Joseph Tung and Qianqian Wang and Hadar Averbuch-Elor and Bharath Hariharan and Noah Snavely},
year = {2023},
booktitle = {ICCV}
}
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Change-Aware Sampling and Contrastive Learning for Satellite Images
Utkarsh Mall, Bharath Hariharan, Kavita Bala
In CVPR, 2023
TLDR : A self-supervised learning approach for satellite images that pushes apart images taken from the same location but over long time spans
pdf  bibtex
@inproceedings{Mall2023Change,
title = {Change-Aware Sampling and Contrastive Learning for Satellite Images},
author = {Utkarsh Mall and Bharath Hariharan and Kavita Bala},
year = {2023},
booktitle = {CVPR}
}
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Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery
Utkarsh Mall, Bharath Hariharan, Kavita Bala
In NeurIPS (Datasets and Benchmarks track), 2022
TLDR : A new benchmark on discovering meaningful multi-step change events from satellite images with few/no labels
pdf  bibtex
@inproceedings{Mall2022Change,
title = {Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery},
author = {Utkarsh Mall and Bharath Hariharan and Kavita Bala},
year = {2022},
booktitle = {NeurIPS (Datasets and Benchmarks track)}
}
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Polynomial Neural Fields for Subband Decomposition and Manipulation
Guandao Yang*, Sagie Benaim*, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas Funkhouser, Bharath Hariharan, Serge Belongie
In NeurIPS, 2022
TLDR : A new architecture for neural fields that explicitly decomposes signals into Fourier and other bases
pdf  bibtex
@inproceedings{Yang2022Polynomial,
title = {Polynomial Neural Fields for Subband Decomposition and Manipulation},
author = {Guandao Yang and Sagie Benaim and Varun Jampani and Kyle Genova and Jonathan T. Barron and Thomas Funkhouser and Bharath Hariharan and Serge Belongie},
year = {2022},
booktitle = {NeurIPS}
}
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Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Yurong You*, Cheng Perng Phoo*, Katie Z Luo*, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
In NeurIPS, 2022
TLDR : Data captured from repeated traversals of a scene can be used to adapt 3D object detectors to new domains without supervision
pdf  bibtex
@inproceedings{You2022Unsupervised,
title = {Unsupervised Adaptation from Repeated Traversals for Autonomous Driving},
author = {Yurong You and Cheng Perng Phoo and Katie Z Luo and Travis Zhang and Wei-Lun Chao and Bharath Hariharan and Mark Campbell and Kilian Q. Weinberger},
year = {2022},
booktitle = {NeurIPS}
}
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Visual Prompt Tuning
Menglin Jia*, Luming Tang*, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim
In ECCV, 2022
TLDR : Learning a prompt is the best way to transfer vision transformers to new tasks
pdf  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}
}
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Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection
Yurong You*, Carlos Andres Diaz-Ruiz*, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Weinberger
In ICRA, 2022
TLDR : Extrapolating tracks of detected objects yields good ground truth for adapting 3D detectors
pdf  bibtex
@inproceedings{You2022Exploiting,
title = {Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection},
author = {Yurong You and Carlos Andres Diaz-Ruiz and Yan Wang and Wei-Lun Chao and Bharath Hariharan and Mark Campbell and Kilian Weinberger},
year = {2022},
booktitle = {ICRA}
}
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Learning to Detect Mobile Objects from LiDAR Scans Without Labels
Yurong You*, Katie Luo*, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Weinberger
In CVPR, 2022
TLDR : Can we train a 3D object detector without labels by simply driving around?
pdf  bibtex
@inproceedings{You2022Learning,
title = {Learning to Detect Mobile Objects from LiDAR Scans Without Labels},
author = {Yurong You and Katie Luo and Cheng Perng Phoo and Wei-Lun Chao and Wen Sun and Bharath Hariharan and Mark Campbell and Kilian Weinberger},
year = {2022},
booktitle = {CVPR}
}
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Hindsight is 20/20: Leveraging past traversals to aid 3D perception
Yurong You, Katie Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Weinberger
In ICLR, 2022
TLDR : Can past traversals through a dynamic scene help 3D perception of the current scene?
pdf  bibtex
@inproceedings{You2022Hindsight,
title = {Hindsight is 20/20: Leveraging past traversals to aid 3D perception},
author = {Yurong You and Katie Luo and Xiangyu Chen and Junan Chen and Wei-Lun Chao and Wen Sun and Bharath Hariharan and Mark Campbell and Kilian Weinberger},
year = {2022},
booktitle = {ICLR}
}
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