2 citations · 3 across the 5 of their papers we have counts for
6 papers
Few-Shot Vision-Language Reasoning for Satellite Imagery via Verifiable Rewards
Aybora Koksal, A. Aydin Alatan
Recent advances in large language and vision-language models have enabled strong reasoning capabilities, yet they remain impractical for specialized domains like remote sensing, wh…
Causal Transformer for Fusion and Pose Estimation in Deep Visual Inertial Odometry
Yunus Bilge Kurt, Ahmet Akman, A. Aydın Alatan
In recent years, transformer-based architectures become the de facto standard for sequence modeling in deep learning frameworks. Inspired by the successful examples, we propose a c…
XoFTR: Cross-modal Feature Matching Transformer
Önder Tuzcuoğlu, Aybora Köksal, Buğra Sofu +2
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 suscep…
Deep Metric Learning with Chance Constraints
Yeti Z. Gurbuz, Ogul Can, A. Aydin Alatan
Deep metric learning (DML) aims to minimize empirical expected loss of the pairwise intra-/inter- class proximity violations in the embedding space. We relate DML to feasibility pr…
Improved Hard Example Mining Approach for Single Shot Object Detectors
Aybora Koksal, Onder Tuzcuoglu, Kutalmis Gokalp Ince +2
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 ap…
DFM: A Performance Baseline for Deep Feature Matching
Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan
A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method us…