LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery
A new multi-modal dataset and an initial benchmark model for Geo-spatial Artificial Intelligence.
Jerome Quenum, Wen-Han Hsieh, Tsung-Han Wu, Ritwik Gupta, Trevor Darrell, David M. Chan
PDF | Cite | Dataset | DOI | [Under Review 2025]
@article{quenum2025lisat,
title={LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery},
author={Quenum, Jerome and Hsieh, Wen-Han and Wu, Tsung-Han and Gupta, Ritwik and Darrell, Trevor and Chan, David M},
journal={arXiv preprint arXiv:2505.02829},
year={2025}
}
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning
An action instruction tuning paradigm for robot learning.
Dantong Niu, Yuvan Sharma, Giscard Biamby, Jerome Quenum, Yutong Bai, Baifeng Shi, Trevor Darrell, Roei Herzig
PDF | Cite | Dataset | DOI | [CoRL 2024]
@article{niu2024llarva,
title={Llarva: Vision-action instruction tuning enhances robot learning},
author={Niu, Dantong and Sharma, Yuvan and Biamby, Giscard and Quenum, Jerome and Bai, Yutong and Shi, Baifeng and Darrell, Trevor and Herzig, Roei},
journal={arXiv preprint arXiv:2406.11815},
year={2024}
}
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
A framework for Multi-Image Retrieval Augmented Generation.
Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Trevor Darrell, David Chan
PDF | Cite | Dataset | DOI | [ICLR 2024]
@article{wu2024visual,
title={Visual haystacks: A vision-centric needle-in-a-haystack benchmark},
author={Wu, Tsung-Han and Biamby, Giscard and Quenum, Jerome and Gupta, Ritwik and Gonzalez, Joseph E and Darrell, Trevor and Chan, David M},
journal={arXiv preprint arXiv:2407.13766},
year={2024}
}
Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning
Lithium plating dynamics understanding in a solid-state battery using machine learning.
Ying Huang, David Perlmuter, Andrea Fei-Huei Su, Jerome Quenum, Iryna Zenyuk, Daniela Ushizima
PDF | Cite | Dataset | DOI | [npj Computational Materials 2023]
@misc{huang10detecting,
title={Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning. Npj Comput Mater. Jun. 2023; 9 (1): 93},
author={Huang, Y and Perlmutter, D and Fei-Huei Su, A and Quenum, J and Shevchenko, P and Parkinson, DY and Zenyuk, IV and Ushizima, D},
publisher={DOI}
}
Lithium Metal Battery Quality Control via Transformer–CNN Segmentation
Understanding when and how dendrites and pits grow in lithium ion batteries with graphite and lithium metal anodes via semantic segmentation can help contribute in designing better batteries.
Jerome Quenum, Iryna Zenyuk, Daniela Ushizima
PDF | Cite | Dataset | DOI | [Journal of imaging 2022]
@article{quenum2023lithium,
title={Lithium metal battery quality control via transformer--cnn segmentation},
author={Quenum, Jerome and Zenyuk, Iryna V and Ushizima, Daniela},
journal={Journal of imaging},
volume={9},
number={6},
pages={111},
year={2023},
publisher={MDPI}
}
Fast, Accurate Barcode Detection In Ultra High Resolution Images
Barcode detection with deep neural networks, barcode segmentation, Ultra High-Resolution images.
Jerome Quenum, Kehan Wang, Avideh Zakhor
PDF | Cite | Dataset | DOI | [IEEE ICIP 2021]
@inproceedings{quenum2021fast,
title={Fast, accurate barcode detection in ultra high-resolution images},
author={Quenum, Jerome and Wang, Kehan and Zakhor, Avideh},
booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
pages={1019--1023},
year={2021},
organization={IEEE}
}