Aybora Köksal

E-mail

aybora@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0001-6414-7317

Scopus Author ID

57218704208

Web of Science Researcher ID

ABA-2323-2020

TinyRS-R1: Compact Vision Language Model for Remote Sensing Köksal, Aybora; Alatan, Abdullah Aydın (2025-01-01) Remote sensing applications often rely on edge hardware that cannot host the models in the 7B parametric vision language of today. This paper presents TinyRS, the first 2B-parameter VLM optimized for remote sensing, and Ti...
SAMChat: Introducing Chain of Thought Reasoning and GRPO to a Multimodal Small Language Model for Small Scale Remote Sensing Köksal, Aybora; Alatan, Abdullah Aydın (2025-01-01) Remarkable capabilities in understanding and generating text-image content have been demonstrated by recent advancements in multimodal large language models (MLLMs). However, their effectiveness in specialized domains-part...
XoFTR: Cross-modal Feature Matching Transformer Tuzcuoğlu, Önder; Köksal, Aybora; Sofu, Buğra; Kalkan, Sinan; Alatan, Abdullah Aydın (2024-06-16) We introduce XoFTR a cross-modal cross-view method for local feature matching between thermal infrared (TIR) and visible images. Unlike visible images TIR images are less susceptible to adverse lighting and weather conditi...
Improved Hard Example Mining Approach for Single Shot Object Detectors Köksal, Aybora; Tuzcuoğlu, Önder; Ince, Kutalmiş Gökalp; Ataseven, Yoldaş; Alatan, Abdullah Aydın (2022-10-18) Hard example mining methods generally improve the performance of the object detectors, which suffer from imbalanced training sets. In this work, two existing hard example mining approaches (LRM and focal loss, FL) are adap...
Semi-Automatic Annotation For Visual Object Tracking Köksal, Aybora; Alatan, Abdullah Aydın (2021-11-24) We propose a semi-automatic bounding box annotation method for visual object tracking by utilizing temporal information with a tracking-by-detection approach. For detection, we use an off-the-shelf object detector which is...
Effect of Annotation Errors on Drone Detection with YOLOv3 Köksal, Aybora; Alatan, Abdullah Aydın (2020-07-28) Following the recent advances in deep networks, object detection and tracking algorithms with deep learning backbones have been improved significantly; however, this rapid development resulted in the necessity of large amo...
Spectrum compression Köksal, Aybora; Oruç, Özgür (2018-07-09) With recent technological developments in electronic warfare systems, there is an increase in the usage of data which should be transmitted. Due to the insufficiency in the system throughput, some problems such as latency ...

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