Foundational Models Beyond the Visual Spectrum
Addressing Data Scarcity in Materials Science Research with Deep Generative Models-
[pdf]
[bibtex]@InProceedings{Korkmaz_2026_WACV, author = {Korkmaz, Yilmaz and Hegde, Deepti and Chintersingh, Kerri-lee and Alemohammad, Milad and Kilic, Velat and Flickinger, Michael R and Polk, Amee L. and Bokhoor, Megan and Peters, Cole and Knio, Rami O. and Hufnagel, Todd C and A Foster, Mark and Weihs, Timothy P and Patel, Vishal M.}, title = {Addressing Data Scarcity in Materials Science Research with Deep Generative Models}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {March}, year = {2026}, pages = {1556-1564} }
RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation-
[pdf]
[bibtex]@InProceedings{Kuhn_2026_WACV, author = {K\"uhn, Paul Julius and Nguyen, Duc Anh and Kuijper, Arjan and Sinha, Saptarshi Neil}, title = {RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {March}, year = {2026}, pages = {1540-1548} }
Rethinking Semantics for Complex-Scene Thermal Image Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Qazi_2026_WACV, author = {Qazi, Tayeba and Maheshwari, Ayush and Mukherjee, Prerana and Lall, Brejesh}, title = {Rethinking Semantics for Complex-Scene Thermal Image Generation}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {March}, year = {2026}, pages = {1549-1555} }
Spectra without Spectra: Learning Spectral Reconstruction from Real-World RGB Data with Sparse Supervision-
[pdf]
[supp]
[bibtex]@InProceedings{Werman_2026_WACV, author = {Werman, Shira and Paikin, Genady and Shaul, Roy and Soloveichik, Evgeny}, title = {Spectra without Spectra: Learning Spectral Reconstruction from Real-World RGB Data with Sparse Supervision}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {March}, year = {2026}, pages = {1521-1530} }
Few-Shot LoRA Adaptation of a Flow-Matching Foundation Model for Cross-Spectral Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Clouser_2026_WACV, author = {Clouser, Maxim and Khezeli, Kia and Kalantari, John}, title = {Few-Shot LoRA Adaptation of a Flow-Matching Foundation Model for Cross-Spectral Object Detection}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {March}, year = {2026}, pages = {1531-1539} }
