Doç. Dr. RAMAZAN GÖKBERK CİNBİŞ

Yayın Ağı

Makaleler 20

1. Representation recycling for streaming video analysis

Ertenli C. U., CİNBİŞ R. G., AKBAŞ E.

Neurocomputing , cilt.700, 2026 (SCI-Expanded, Scopus)

2. DARKIN: a zero-shot benchmark for phosphosite–dark kinase association using protein language models

Sunar E. A., Işık Z., Pekey M., CİNBİŞ R. G., Tastan O.

Bioinformatics , cilt.41, sa.11, 2025 (SCI-Expanded, Scopus)

3. Patch relevance estimation and multilabel augmentation for weakly supervised histopathology image classification

Aygunes B., CİNBİŞ R. G., Aksoy S.

JOURNAL OF MEDICAL IMAGING , cilt.12, sa.6, 2025 (ESCI, Scopus)

4. Cross-lingual few-shot sign language recognition

Bilge Y. C., Ikizler-Cinbis N., CİNBİŞ R. G.

Pattern Recognition , cilt.151, 2024 (SCI-Expanded, Scopus)

5. Shadow-aware terrain classification: advancing hyperspectral image sensing through generative adversarial networks and correlated sample synthesis

Peker A. G., Yuksel S. E., CİNBİŞ R. G., Cetin Y. Y.

JOURNAL OF APPLIED REMOTE SENSING , cilt.18, sa.3, 2024 (SCI-Expanded, Scopus)

6. SAR2ET: End-to-End SAR-Driven Multisource ET Imagery Estimation Over Croplands

Cetin S., Ulker B., Erten E., CİNBİŞ R. G.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , cilt.17, ss.14790-14805, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

7. Towards Zero-shot Sign Language Recognition

Bilge Y. C., CİNBİŞ R. G., Ikizler-Cinbis N.

IEEE Transactions on Pattern Analysis and Machine Intelligence , cilt.45, sa.1, ss.1217-1232, 2023 (SCI-Expanded, Scopus)

8. DeepSide: A Deep Learning Approach for Drug Side Effect Prediction

Uner O. C., Kuru H. I., CİNBİŞ R. G., Tastan O., Cicek E.

IEEE/ACM Transactions on Computational Biology and Bioinformatics , cilt.20, sa.1, ss.330-339, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

9. Semantics-driven attentive few-shot learning over clean and noisy samples

BARAN O. B., CİNBİŞ R. G.

NEUROCOMPUTING , cilt.513, ss.59-69, 2022 (SCI-Expanded, Scopus)

10. Caption generation on scenes with seen and unseen object categories

Demirel B., CİNBİŞ R. G.

Image and Vision Computing , cilt.124, 2022 (SCI-Expanded, Scopus)

11. How robust are discriminatively trained zero-shot learning models?

Yucel M. K., Cinbis R. G., DUYGULU ŞAHİN P.

IMAGE AND VISION COMPUTING , cilt.119, 2022 (SCI-Expanded, Scopus)

12. Weakly supervised instance attention for multisource fine-grained object recognition with an application to tree species classification

Aygunes B., CİNBİŞ R. G., Aksoy S.

ISPRS Journal of Photogrammetry and Remote Sensing , cilt.176, ss.262-274, 2021 (SCI-Expanded, Scopus)

13. Single-Image Super-Resolution Analysis in DCT Spectral Domain

Aydın O., CİNBİŞ R. G.

Balkan Journal of Electrical and Computer Engineering , cilt.8, ss.209-217, 2020 (TRDizin)

14. Key protected classification for collaborative learning

Sariyildiz M. B., Cinbi R. G., Ayday E.

Pattern Recognition , cilt.104, 2020 (SCI-Expanded, Scopus)

15. Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery

Sumbul G., Cinbiş R. G., Aksoy S.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , cilt.57, ss.4929-4937, 2019 (SCI-Expanded, Scopus)

16. Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery

Sumbul G., Cinbis R. G., Aksoy S.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , cilt.56, sa.2, ss.770-779, 2018 (SCI-Expanded, Scopus)

17. Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning

Cinbiş R. G., Verbeek J., Schmid C.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , cilt.39, sa.1, ss.189-203, 2017 (SCI-Expanded, Scopus)

18. Approximate Fisher Kernels of Non-iid Image Models for Image Categorization

CİNBİŞ R. G., Verbeek J., Schmid C.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , cilt.38, sa.6, ss.1084-1098, 2016 (SCI-Expanded, Scopus)

19. Image Mining Using Directional Spatial Constraints

AKSOY S., CİNBİŞ R. G.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS , cilt.7, sa.1, ss.33-37, 2010 (SCI-Expanded, Scopus)

20. Fire detection in infrared video using wavelet analysis

TÖREYİN B. U., CİNBİŞ R. G., Dedeoğlu Y., Çetin E.

Optical Engineering , cilt.46, sa.6, 2007 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 36

1. Building a Turkish Large Language Model via Continual Pre-Training and Parameter-Efficient Adaptation

Bayar A. E., Ege M., Yurtalan G., KARAMANLIOĞLU A., Demirel B., CİNBİŞ R. G.

2nd Workshop on Natural Language Processing for Turkic Languages, SIGTURK 2026, Rabat, Fas, 29 Mart 2026, ss.209-219, (Tam Metin Bildiri)

2. Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence

Işık İ., CİNBİŞ R. G., Gol E. A.

42nd International Conference on Machine Learning, ICML 2025, Vancouver, Kanada, 13 - 19 Temmuz 2025, cilt.267, ss.26523-26541, (Tam Metin Bildiri)

3. Utilizing Class-Agnostic Point-to-Box Regressors as Object Proposal Generators

Tufekci Dogan G., Cinbiş R. G., Ulusoy I.

Workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, Milan, İtalya, 29 Eylül - 04 Ekim 2024, cilt.15640 LNCS, ss.253-269, (Tam Metin Bildiri)

4. DARKIN: A zero-shot classification benchmark and an evaluation of protein language models

Sunar E. A., Işık Z., Pekey M., Cinbiş R. G., Taştan Okan Ö.

ICLR 2024 Workshop on Machine Learning for Genomics Explorations (MLGenX), Vienna, Avusturya, 11 Mayıs 2024, (Tam Metin Bildiri)

5. Image-To-Image Translation Networks for Estimating Evapotranspiration Variations: SAR2ET

Cetin S., Ulker B., Cinbis G., Erten E.

2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, Athens, Yunanistan, 7 - 12 Temmuz 2024, ss.301-304, (Tam Metin Bildiri)

6. HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness

Yücel M. K., CİNBİŞ R. G., DUYGULU ŞAHİN P.

IEEE/CVF International Conference on Computer Vision (ICCV), Fransa, 4 - 06 Ekim 2023, (Tam Metin Bildiri)

7. Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection

Demirel B., Baran O. B., CİNBİŞ R. G.

IEEE/CVF Conference on Computer Vision & Pattern Recognition, Kanada, 17 - 21 Haziran 2023, (Tam Metin Bildiri)

8. Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning

ÇETİN S., Baran O. B., CİNBİŞ R. G.

International Conference on Learning Representations, Çevrimiçi, Amerika Birleşik Devletleri, 25 Nisan 2022, cilt.1, (Tam Metin Bildiri)

9. A Recurrent and Meta-learned Model of Weakly Supervised Object Localization

Sariyildiz M. B., Sumbul G., CİNBİŞ R. G.

6th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2022, Ankara, Türkiye, 20 - 22 Ekim 2022, ss.747-752, (Tam Metin Bildiri)

10. Streaming Multiscale Deep Equilibrium Models

ERTENLİ C. U., AKBAŞ E., CİNBİŞ R. G.

17th European Conference on Computer Vision, ECCV 2022, Tel-Aviv-Yafo, İsrail, 23 - 27 Ekim 2022, cilt.13671 LNCS, ss.189-205, (Tam Metin Bildiri)

11. MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation

Amac M. S., Sencan A., BARAN O. B., Ikizler-Cinbis N., CİNBİŞ R. G.

22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Hawaii, Amerika Birleşik Devletleri, 4 - 08 Ocak 2022, ss.428-438, (Tam Metin Bildiri)

12. Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos

Bilge Y. C., Yucel M. K., CİNBİŞ R. G., İKİZLER CİNBİŞ N., DUYGULU ŞAHİN P.

IEEE Winter Conference on Applications of Computer Vision (WACV), ELECTR NETWORK, 5 - 09 Ocak 2021, ss.3357-3368, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

13. A Deep Dive into Adversarial Robustness in Zero-Shot Learning

Yücel M. K., CİNBİŞ R. G., DUYGULU ŞAHİN P.

ECCV 2020, Workshop on Adversarial Robustness in the Real World, Glasgow, Birleşik Krallık, 23 Ağustos 2020, (Tam Metin Bildiri)

14. Graph convolutional networks for region of interest classification in breast histopathology

Aygüneş B., AKSOY S., CİNBİŞ R. G., KÖSEMEHMETOĞLU K., Önder S., Üner A.

SPIE Medical Imaging, Texas, Amerika Birleşik Devletleri, 15 Şubat 2020, (Tam Metin Bildiri)

15. Learning Visually Consistent Label Embeddings for Zero-Shot Learning

Berkan D., CİNBİŞ R. G., İKİZLER CİNBİŞ N.

2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22 - 25 Eylül 2019, (Tam Metin Bildiri)

16. Image Captioning with Unseen Objects

Berkan D., CİNBİŞ R. G., İKİZLER CİNBİŞ N.

British Machine Vision Conference, 9 - 12 Eylül 2019, (Tam Metin Bildiri)

17. Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?

Bilge Y. C., İKİZLER CİNBİŞ N., CİNBİŞ R. G.

British Machine Vision Conference, 9 - 12 Eylül 2019, (Tam Metin Bildiri)

18. Cross-task weakly supervised learning from instructional videos

Zhukov D., Alayrac J., CİNBİŞ R. G., Fouhey D., Laptev I., Sivic J.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), California, Amerika Birleşik Devletleri, 16 - 20 Haziran 2019, ss.3532-3540, (Tam Metin Bildiri)

19. WEAKLY SUPERVISED DEEP CONVOLUTIONAL NETWORKS FOR FINE-GRAINED OBJECT RECOGNITION IN MULTISPECTRAL IMAGES

Aygunes B., AKSOY S., CİNBİŞ R. G.

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japonya, 28 Temmuz - 02 Ağustos 2019, ss.1478-1481, (Tam Metin Bildiri)

20. Gradient Matching Generative Networks for Zero-Shot Learning

Sariyildiz M. B., CİNBİŞ R. G.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), California, Amerika Birleşik Devletleri, 16 - 20 Haziran 2019, ss.2163-2173, (Tam Metin Bildiri)

21. Zero-Shot Object Detection by Hybrid Region Embedding

Berkan D., Cinbiş R. G., İkizler Cinbiş N.

British Machine Vision Conference, Newcastle-Upon-Tyne, Birleşik Krallık, 3 - 07 Eylül 2018, (Tam Metin Bildiri)

22. Fine-grained object recognition and zero-shot learning in multispectral imagery

Sumbul G., CİNBİŞ R. G., AKSOY S.

2018 26th Signal Processing and Communications Applications Conference (SIU), İzmir, Türkiye, 2 - 05 Mayıs 2018, (Tam Metin Bildiri)

23. Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning

Demirel B., Cinbiş R. G., Ikizler Cinbiş N.

16th IEEE International Conference on Computer Vision (ICCV), Venice, İtalya, 22 - 29 Ekim 2017, ss.1241-1250, (Tam Metin Bildiri)

24. Visual Saliency Estimation via Attribute Based Classifiers and Conditional Random Field

Demirel B., CİNBİŞ R. G., İKİZLER CİNBİŞ N.

2016 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 Mayıs 2016, (Tam Metin Bildiri)

25. Hyperspectral target detection - An experimental study

GUNYEL B., CİNBİŞ R. G., Ture S., Gurbuz A. C.

2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 Mayıs 2015, (Tam Metin Bildiri)

26. Multi-fold MIL Training for Weakly Supervised Object Localization

Cinbiş R. G., Verbeek J., Schmid C.

27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Ohio, Amerika Birleşik Devletleri, 23 - 28 Haziran 2014, ss.2409-2416, (Tam Metin Bildiri)

27. Segmentation Driven Object Detection with Fisher Vectors

Cinbiş R. G., Verbeek J., Schmid C.

IEEE International Conference on Computer Vision (ICCV), Sydney, Avustralya, 1 - 08 Aralık 2013, ss.2968-2975, (Tam Metin Bildiri)

28. Contextual Object Detection Using Set-Based Classification

CİNBİŞ R. G., Sclaroff S.

12th European Conference on Computer Vision (ECCV), Florence, İtalya, 7 - 13 Ekim 2012, cilt.7577, ss.43-57, (Tam Metin Bildiri)

29. Image categorization using Fisher kernels of non-iid image models

Cinbiş R. G., Verbeek J., Schmid C.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Rhode Island, Amerika Birleşik Devletleri, 16 - 21 Haziran 2012, ss.2184-2191, (Tam Metin Bildiri)

30. Unsupervised Metric Learning for Face Identification in TV Video

Cinbiş R. G., Verbeek J., Schmid C.

IEEE International Conference on Computer Vision (ICCV), Barcelona, İspanya, 6 - 13 Kasım 2011, ss.1559-1566, (Tam Metin Bildiri)

31. Learning Actions From the Web

Ikizler Cinbiş N., Cinbiş R. G., Sclaroff S.

12th IEEE International Conference on Computer Vision, Kyoto, Japonya, 29 Eylül - 02 Ekim 2009, ss.995-1002, (Tam Metin Bildiri)

32. Recognizing actions from still images

İKİZLER CİNBİŞ N., CİNBİŞ R. G., PEHLİVAN S., DUYGULU ŞAHİN P.

2008 19th International Conference on Pattern Recognition, Tampa, FL, USA, 8 - 11 Aralık 2008, (Tam Metin Bildiri)

33. Human action recognition with line and flow histograms

İKİZLER CİNBİŞ N., CİNBİŞ R. G., DUYGULU ŞAHİN P.

2008 19th International Conference on Pattern Recognition, Tampa, FL, USA, 8 - 11 Aralık 2008, (Tam Metin Bildiri)

34. Automatic Mapping of Linearwoody Vegetation Features in Agricultural Landscapes

AKSOY S., AKÇAY H. G., CİNBİŞ R. G., Wassenaar T.

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA, 7 - 11 Temmuz 2008, (Tam Metin Bildiri)

35. Relative Position-Based Spatial Relationships using Mathematical Morphology

CİNBİŞ R. G., AKSOY S.

2007 IEEE International Conference on Image Processing, San Antonio, TX, USA, 16 Eylül - 19 Ekim 2007, (Tam Metin Bildiri)

36. Morphological Modeling of Position-Based Spatial Relationships

CİNBİŞ R. G., AKSOY S.

2007 IEEE 15th Signal Processing and Communications Applications, Eskisehir, Turkey, 11 - 13 Haziran 2007, (Tam Metin Bildiri)

Kitaplar 2

1. Derin Öğrenme

Yarman Vural F. T., Cinbiş R. G., Kalkan S.

Buzdağı Yayınevi, Ankara, 2018

2. Image Classification and Object Detection Using Spatial Contextual Constraints

Akçay H. G., Aksoy S., Cinbiş R. G.

Image Classification and Object Detection Using Spatial Contextual Constraints, C. H. Chen, Editör, Crc Press-Taylor & Francis Group, Florida, ss.441-450, 2011

Metrikler