Deep
learning for estimation of bio- & geophysical parameters
from SAR data
E. Erten, R. G. Cinbis, M. S. Işık, M. F. Çelik
Michael Schmitt, Ronny Hänsch, ed., Deep Learning for Synthetic Aperture Radar Remote Sensing, pp. 287-323, Elsevier, 2026
Policy-based
Tuning of Autoregressive Image Models with Instance- and
Distribution-Level Rewards
O. B. Baran, M. Kandemir, R. G. Cinbis
European Conference on Computer Vision (ECCV), September 2026
Representation
recycling for streaming video analysis
C. U. Ertenli, R. G. Cinbis, E. Akbas
Neurocomputing, June 2026
A. Sekmen, F. E. Gunes, F. Horoz, H. U. Işık, M. A. Ozaydin, O. A. Topaloglu, Ş. U. Üstündaş, Y. A. Yeni, H. E. Soken, E. Sahin, R. G. Cinbis+, S. Kalkan+
CVPR 2026 Workshop on AI4Space, June 2026
A. E. Bayar, M. Ege, G. Yurtalan, A. Karamanlioglu, B. Demirel, R. G. Cinbis
ACL Workshop on Natural Language Processing for Turkic Languages (SIGTURK), March 2026
B. Aygunes, R. G. Cinbis, S. Aksoy
SPIE Journal of Medical Imaging, 12(6), pp. 061411, December 2025
DARKIN:
a zero-shot benchmark for phosphosite–dark kinase association
using protein language models
E. A. Sunar, Z. Işık, M. Pekey, R. G. Cinbis, O. Tastan
Bioinformatics, 41(11), pp. btaf480, November 2025
Fossil
recognition method with deep learning processes
A. T. Türkecan, E. Ekiz Emiroglu, R. G. Cinbis
Patent (TR, pending: CN,DE,GB), October 2025
Interchangeable
Token Embeddings for Extendable Vocabulary and
Alpha-Equivalence
İ. Işık, R. G. Cinbis, E. A. Gol
International Conference on Machine Learning (ICML), July 2025
Exploring
Sparsity for Parameter Efficient Fine Tuning Using Wavelets
A. Bilican, M. A. Yılmaz, A. M. Tekalp, R. G. Cinbis
arXiv:2505.12532, June 2025
Meta-LoRA:
Meta-Learning LoRA Components for Domain-Aware ID
Personalization
B. B. Topal, U. Özyurt, Z. D. Budak, R. G. Cinbis
arXiv:2503.22352, March 2025
SAR2ET:
End-to-end SAR-driven multisource ET imagery estimation over
croplands
S. Cetin, B. Ülker, E. Erten, R. G. Cinbis
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, pp. 14790-14805, 2024
Utilizing
Class-Agnostic Point-to-Box Regressors as Object Proposal
Generators
G. Tüfekci Doğan, R. G. Cinbis, İ. Ulusoy
ECCV 2024 Workshop on Out Of Distribution Generalization in Computer Vision, October 2024
A. G. Peker, S. E. Yuksel, R. G. Cinbis, Y. Y. Cetin
Journal of Applied Remote Sensing (JARS), September 2024
Image-To-Image
Translation Networks for Estimating Evapotranspiration
Variations: SAR2ET
S. Cetin, B. Ülker, R. G. Cinbis, E. Erten
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, July 2024
Cross-lingual
few-shot sign language recognition
Y. C. Bilge, N. Ikizler-Cinbis, R. G. Cinbis
Pattern Recognition, 151, pp. 110374, July 2024
Learning
to Estimate System Specifications in Linear Temporal Logic using
Transformers and Mamba
İ. Işık, E. A. Gol, R. G. Cinbis
arXiv:2405.20917, May 2024
DARKIN:
A zero-shot classification benchmark and an evaluation of
protein language models
E. A. Sunar, Z. Işık, M. Pekey, R. G. Cinbis, O. Tastan
ICLR 2024 Workshop on Machine Learning for Genomics Explorations (MLGenX), May 2024
HybridAugment++:
Unified Frequency Spectra Perturbations for Model Robustness
M. K. Yucel, R. G. Cinbis, P. Duygulu
IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, October 2023
VISION
Datasets: A Benchmark for Vision-based InduStrial InspectiON
H. Bai, S. Mou, T. Likhomanenko, R. G. Cinbis, O. Tuzel, P. Huang, J. Shan, J. Shi, M. Cao
arXiv:2306.07890, June 2023
Meta-tuning
Loss Functions and Data Augmentation for Few-shot Object
Detection
B. Demirel, O. B. Baran, R. G. Cinbis
IEEE/CVF Conference on Computer Vision & Pattern Recognition (CVPR), Vancouver, Canada, June 2023
Towards
Zero-shot Sign Language Recognition
Y. C. Bilge, R. G. Cinbis, N. Ikizler-Cinbis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45, pp. 1217-1232, January 2023
DeepSide:
A Deep Learning Framework for Drug Side Effect Prediction
O. C. Uner, H. I. Kuru, R. G. Cinbis, O. Tastan, A. E. Cicek
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20, January 2023
Attentive
Sequential Auto-Encoding Towards Unsupervised Object-centric
Scene Modeling
Y. D. Çetin, R. G. Cinbiş
GU J Sci, Part C, 10(4), pp. 1127-1142, December 2022
A
Recurrent and Meta-learned Model of Weakly Supervised Object
Localization
M. B. Sariyildiz, G. Sumbul, R. G. Cinbis
IEEE ISMSIT, 2022
Semantics-driven
Attentive Few-shot Learning over Clean and Noisy Samples
O. B. Baran, R. G. Cinbis
Neurocomputing, 513, pp. 59-69, November 2022
Streaming
Multiscale Deep Equilibrium Models
C. U. Ertenli, E. Akbas, R. G. Cinbis
European Conference on Computer Vision (ECCV), October 2022
Caption
Generation on Scenes with Seen and Unseen Object Categories
B. Demirel, R. G. Cinbis
Image and Vision Computing, 124, pp. 104515, August 2022
Closed-form
Sample Probing for Learning Generative Models in Zero-shot
Learning
S. Cetin, O. B. Baran, R. G. Cinbis
International Conference on Learning Representations (ICLR), April 2022
How
robust are discriminatively trained zero-shot learning
models?
M. K. Yucel, R. G. Cinbis, P. Duygulu
Image and Vision Computing, 119, pp. 104392, March 2022
MaskSplit:
Self-supervised Meta-learning for Few-shot Semantic
Segmentation
M. S. Amac, A. Sencan, O. B. Baran, N. Ikizler-Cinbis, R. G. Cinbis
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2022
B. Aygunes, R. G. Cinbis, S. Aksoy
ISPRS Journal of Photogrammetry and Remote Sensing, 176, pp. 262-274, June 2021
M. K. Yucel, Y. C. Bilge, N. Ikizler-Cinbis, P. Duygulu, R. G. Cinbis
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2021
Single-Image
Super-Resolution Analysis in DCT Spectral Domain
O. Aydın, R. G. Cinbiş
Balkan Journal of Electrical and Computer Engineering, 8, pp. 209-217, 2020
Data
Bottleneck in the Age of Big Data
R. G. Cinbiş
HAVELSAN Journal, 2020
A
Deep Dive into Adversarial Robustness in Zero-Shot Learning
M. K. Yucel, R. G. Cinbis, P. Duygulu
ECCV Workshop on Adversarial Robustness in the Real World, Glasgow, United Kingdom (online), August 2020
Key
Protected Classification for Collaborative Learning
M. B. Sariyildiz, R. G. Cinbis, E. Ayday
Pattern Recognition, 104, pp. 107327, August 2020
Graph
convolutional networks for region of interest classification in
breast histopathology
B. Aygüneş, S. Aksoy, R. G. Cinbiş, K. Kösemehmetoğlu, S. Önder, A. Üner
SPIE Medical Imaging Symposium, Digital Pathology Conference, Houston, Texas, USA, February 2020
Image
Captioning with Unseen Objects
B. Demirel, R. G. Cinbis, N. Ikizler-Cinbis
British Machine Vision Conference (BMVC), September 2019
Zero-Shot
Sign Language Recognition: Can Textual Data Uncover Sign
Languages?
Y. C. Bilge, N. Ikizler-Cinbis, R. G. Cinbis
British Machine Vision Conference (BMVC), September 2019
Gradient
Matching Generative Networks for Zero-Shot Learning
M. B. Sariyildiz, R. G. Cinbis
IEEE/CVF Conference on Computer Vision & Pattern Recognition (CVPR), Long Beach, CA, USA, June 2019
Cross-task
weakly supervised learning from instructional videos
D. Zhukov, J.-B. Alayrac, R.G. Cinbis, D. Fouhey, I. Laptev, J. Sivic
IEEE/CVF Conference on Computer Vision & Pattern Recognition (CVPR), Long Beach, CA, USA, June 2019
B. Aygunes, S. Aksoy, R. G. Cinbis
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, July 2019
Multisource
Region Attention Network for Fine-Grained Object Recognition in
Remote Sensing Imagery
G. Sumbul, R. G. Cinbis, S. Aksoy
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 57, pp. 1558-0644, July 2019
Learning
Visually Consistent Label Embeddings for Zero-Shot Learning
B. Demirel, R. G. Cinbis, N. Ikizler-Cinbis
IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, September 2019
Derin
Öğrenme (translation of Deep Learning by Goodfellow et al.)
Translated by H. Aydın, R. G. Cinbiş, Y. D. Çetin, B. Demirel, S. Kalkan, H. Moğultay, M. B. Sarıyıldız, G. Sümbül, F. Yarman Vural
Buzdağı Yayınevi, 2018
Zero-Shot
Object Detection by Hybrid Region Embedding
B. Demirel, R. G. Cinbis, N. Ikizler-Cinbis
British Machine Vision Conference (BMVC), August 2018
Fine-Grained
Object Recognition and Zero-Shot Learning in Multispectral
Imagery
G. Sumbul, R. G. Cinbis, S. Aksoy
IEEE Signal Processing and Communications Applications Conference (SIU), June 2018
* Only ImageLab publications of the members are listed below. For non-ImageLab publications, see member homepages.
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.