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

• 04 Nov 2025 : one papers accepted to AAAI, with lab alumni Gongbo "Tony" Liang!
• 15 Oct 2025 : Daniel Cher wins prestigious Ann W. and Spencer T. Olin-Chancellor's Fellowship!
• 18 Sep 2025 : one papers accepted to NeurIPS, congrats to authors Eric Xing and Abby Stylianou!
• 05 Sep 2025 : two papers accepted to WACV (Round 1, Accept Rate 6%), congrats to authors Alex Wollam, Feng Qiao, and Zhexiao Xiong!
• 26 Jun 2025 : two papers accepted to ICCV, congrats to 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!

Check the archives for old news.

selected recent publications

See our publications page for a complete listing.

1. 

   Qiao F, Xiong Z, Zhu X, Ma Y, He Q, Jacobs N. 2026. MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
   bibtex | paper | linkedin

   close  

   @inproceedings{qiao2026mcpdepth,
     annotation = {spotlight,transportation,geometric},
     author = {Qiao, Feng and Xiong, Zhexiao and Zhu, Xinge and Ma, Yuexin and He, Qiumeng and Jacobs, Nathan},
     title = {{MCPDepth:} Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas},
     linkedin = {https://www.linkedin.com/posts/jacobsn_new-paper-accepted-to-wacv-2026-activity-7378503463132913664-CX6f?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
     volume = {2408.01653},
     booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
     archiveprefix = {arXiv},
     month = mar,
     thumbnail = {/thumbnails/mcpdepth.jpg},
     author+an = {6=highlight},
     primaryclass = {cs.CV},
     eprint = {2408.01653},
     pdf = {https://arxiv.org/pdf/2408.01653},
     year = {2026}
   }
   

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 | linkedin | code

   close  

   @inproceedings{sastry2025entailment,
     annotation = {remote_sensing,spotlight,conservation},
     code = {https://github.com/mvrl/RCME},
     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},
     thumbnail = {/thumbnails/rcme.jpg},
     pdf = {https://arxiv.org/pdf/2506.21476},
     linkedin = {https://www.linkedin.com/posts/jacobsn_iccv-activity-7346288054933889026-dtmK?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACWgMUBbrOLvty2wxK6klz29_SYYIMtEis},
     volume = {2506.21476},
     year = {2025},
     day = {20},
     month = oct,
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
     eprint = {2506.21476}
   }
   

3. 

   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/},
     thumbnail = {/thumbnails/genstereo.jpg},
     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}
   }
   

4. 

   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}
   }
   

5. 

   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},
     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}
   }
   

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