3 papers
cs.CV2026
Latent Space Guided Scenario Sampling for Multimodal Segmentation Under Missing Modalities
Irem Ulku, Ã. Ãzgür Tanrıöver, Erdem Akagündüz
Multimodal semantic segmentation benefits remote sensing analysis by combining complementary information from different sensor modalities. In real-world remote sensing applications…
cs.CV2026
Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection
Irem Ulku, Erdem Akagündüz, Ãmer Ãzgür Tanrıöver
Multimodal remote sensing data provide complementary information for semantic segmentation, but in real-world deployments, some modalities may be unavailable due to sensor failures…
cs.CV2024
Near-Infrared and Low-Rank Adaptation of Vision Transformers in Remote Sensing
Irem Ulku, O. Ozgur Tanriover, Erdem Akagündüz
Plant health can be monitored dynamically using multispectral sensors that measure Near-Infrared reflectance (NIR). Despite this potential, obtaining and annotating high-resolution…