Multimodal Vision Research Laboratory

MVRL

about us

The Multimodal Vision Research Laboratory (MVRL) develops novel algorithms for image understanding and works to solve challenging problems in areas including remote sensing, image localization, and medical imaging. If you are interested in joining us, please check out our openings page for more information and a description of current open positions.

recent news

• 26 Jun 2025 : two papers accepted to ICCV, congrats co-authors Feng Qiao, Srikumar Sastry, Zhexiao Xiong, Aayush Dhakal, Eric Xing, and Subash Khanal!
• 06 May 2025 : congrats to Jack McCall, Jingyun Ma, and Haris Naveed on successfully defending their MS projects!
• 29 Apr 2025 : one paper accepted to TMLR, congrats co-authors Zhexiao Xiong, Xin Xing, Scott Workman, and Subash Khanal!
• 25 Apr 2025 : congrats to Vinh Pham on successfully defending his MS project!
• 22 Apr 2025 : congrats to Lunchi Guo and Myan Sudharsanan on successfully defending their MS projects and Ethan Weilheimer on successfully defending his MS thesis!
• 31 Mar 2025 : three papers accepted to CVPR workshops!

Check the archives for old news.

selected recent publications

See our publications page for a complete listing.

1. 

   Qiao F, Xiong Z, Xing E, Jacobs N. 2025. Towards Open-World Generation of Stereo Images and Unsupervised Matching. In: IEEE International Conference on Computer Vision (ICCV).
   bibtex | paper | website | linkedin | code

   close  

   @inproceedings{qiao2025genstereo,
     annotation = {spotlight,generative,geometric},
     author = {Qiao, Feng and Xiong, Zhexiao and Xing, Eric and Jacobs, Nathan},
     pdf = {https://arxiv.org/pdf/2503.12720},
     title = {Towards Open-World Generation of Stereo Images and Unsupervised Matching},
     booktitle = {IEEE International Conference on Computer Vision (ICCV)},
     project = {https://qjizhi.github.io/genstereo/},
     code = {https://github.com/Qjizhi/GenStereo},
     linkedin = {https://www.linkedin.com/posts/jacobsn_new-paper-alert-genstereo-towards-activity-7311027987846438913-5DTA?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
     year = {2025},
     day = {20},
     month = oct,
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
     eprint = {2503.12720}
   }
   

2. 

   Sastry S, Dhakal A, Xing E, Khanal S, Jacobs N. 2025. Global and Local Entailment Learning for Natural World Imagery. In: IEEE International Conference on Computer Vision (ICCV).
   bibtex | paper | website

   close  

   @inproceedings{sastry2025entailment,
     annotation = {remote_sensing,spotlight,conservation},
     author = {Sastry, Srikumar and Dhakal, Aayush and Xing, Eric and Khanal, Subash and Jacobs, Nathan},
     booktitle = {IEEE International Conference on Computer Vision (ICCV)},
     project = {https://vishu26.github.io/RCME/index.html},
     title = {Global and Local Entailment Learning for Natural World Imagery},
     pdf = {https://arxiv.org/pdf/2506.21476},
     volume = {2506.21476},
     year = {2025},
     day = {20},
     month = oct,
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
     eprint = {2506.21476}
   }
   

3. 

   Xing E, Kolouju P, Pless R, Stylianou A, Jacobs N. 2025. ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
   bibtex | paper | linkedin | code

   close  

   @inproceedings{xing2025cir,
     annotation = {spotlight,vlm},
     author = {Xing, Eric and Kolouju, Pranavi and Pless, Robert and Stylianou, Abby and Jacobs, Nathan},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     title = {{ConText-CIR}: Learning from Concepts in Text for Composed Image Retrieval},
     thumbnail = {/thumbnails/context-cir.jpg},
     pdf = {https://arxiv.org/pdf/2505.20764},
     linkedin = {https://www.linkedin.com/posts/jacobsn_if-you-are-at-cvpr-please-stop-by-our-poster-activity-7339745971360145411-eHCk?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
     code = {https://github.com/mvrl/ConText-CIR},
     month = jun,
     day = {12},
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
     eprint = {2505.20764},
     year = {2025}
   }
   

4. 

   Dhakal A, Sastry S, Khanal S, Ahmad A, Xing E, Jacobs N. 2025. RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
   bibtex | paper | linkedin | code

   close  

   @inproceedings{dhakal2025range,
     annotation = {spotlight,remote_sensing,conservation},
     author = {Dhakal, Aayush and Sastry, Srikumar and Khanal, Subash and Ahmad, Adeel and Xing, Eric and Jacobs, Nathan},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     thumbnail = {/thumbnails/range.jpg},
     pdf = {https://arxiv.org/pdf/2502.19781},
     linkedin = {https://www.linkedin.com/posts/jacobsn_range-retrieval-augmented-neural-fields-activity-7301277448279638016-q_vx?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
     title = {{RANGE}: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings},
     month = jun,
     day = {12},
     year = {2025},
     code = {https://github.com/mvrl/RANGE},
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
     eprint = {2502.19781}
   }
   

5. 

   Xiong Z, Xing X, Workman S, Khanal S, Jacobs N. 2025. Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. Transactions on Machine Learning Research (TMLR).
   bibtex | paper | website | linkedin

   close  

   @article{xiong2025mvps,
     annotation = {remote_sensing,spotlight},
     title = {Mixed-View Panorama Synthesis using Geospatially Guided Diffusion},
     author = {Xiong, Zhexiao and Xing, Xin and Workman, Scott and Khanal, Subash and Jacobs, Nathan},
     journal = {Transactions on Machine Learning Research (TMLR)},
     year = {2025},
     eprint = {2407.09672},
     thumbnail = {/thumbnails/mixedview.jpg},
     linkedin = {https://www.linkedin.com/posts/jacobsn_new-paper-alert-mixed-view-panorama-synthesis-activity-7340423839358570496-Wr8_?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
     month = may,
     archiveprefix = {arXiv},
     author+an = {5=highlight},
     project = {https://mixed-view.github.io/},
     pdf = {https://arxiv.org/pdf/2407.09672},
     primaryclass = {cs.CV}
   }
   

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