WACV 2026 Workshop FoMoV Submissions

Addressing Data Scarcity in Materials Science Research with Deep Generative Models
Yilmaz Korkmaz, Deepti Hegde, Kerri-lee Chintersingh, Milad Alemohammad, Velat Kilic, Michael Flickinger, Amee L. Polk, Megan Bokhoor, Cole Peters, Rami Knio, Todd Hufnagel, Mark Foster, Timothy Weihs, Vishal M. Patel
- Published: 26 Jan 2026, Last Modified: 26 Jan 2026
- FoMoV Oral
- Readers: Everyone
Rethinking Semantics for Complex-Scene Thermal Image Generation
Tayeba Qazi, Ayush Maheshwari, Prerana Mukherjee, Brejesh Lall
- Published: 26 Jan 2026, Last Modified: 26 Jan 2026
- FoMoV Oral
- Readers: Everyone
RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
Paul Julius Kühn, Duc Anh Nguyen, Arjan Kuijper, Saptarshi Neil Sinha
- Published: 26 Jan 2026, Last Modified: 26 Jan 2026
- FoMoV Oral
- Readers: Everyone
Few-Shot LoRA Adaptation of a Flow-Matching Foundation Model for Cross-Spectral Object Detection
Maxim Clouser, Kia Khezeli, John Kalantari
- Published: 26 Jan 2026, Last Modified: 26 Jan 2026
- FoMoV Oral
- Readers: Everyone
Spectra without Spectra: Learning Spectral Reconstruction from Real-World RGB Data with Sparse Supervision
Shira Werman, Genady Paikin, Roy Shaul, Evgeny Soloveichik
- Published: 26 Jan 2026, Last Modified: 26 Jan 2026
- FoMoV Oral
- Readers: Everyone