2 citations · 2 across the 2 of their papers we have counts for
4 papers
Latent Space Guided Scenario Sampling for Multimodal Segmentation Under Missing Modalities
Irem Ulku, Ö. Özgür Tanrıöver, Erdem Akagündüz
Multimodal semantic segmentation benefits remote sensing analysis by combining complementary information from different sensor modalities. In real-world remote sensing applications…
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…
Exploring Challenges in Deep Learning of Single-Station Ground Motion Records
Ümit Mert Çağlar, Baris Yilmaz, Melek Türkmen +2
Contemporary deep learning models have demonstrated promising results across various applications within seismology and earthquake engineering. These models rely primarily on utili…
FuseFormer: A Transformer for Visual and Thermal Image Fusion
Aytekin Erdogan, Erdem Akagündüz
Due to the lack of a definitive ground truth for the image fusion problem, the loss functions are structured based on evaluation metrics, such as the structural similarity index me…