Publications

Journal papers

Mitigating background bias in self-supervised video representation learning

Arif Akar, Ufuk Umut Senturk, Nazli Ikizler-Cinbis

Signal, Image and Video Processing, vol. 19, no. 1, article 55, 2025
TinySign: Sign language recognition in low resolution settings

Arda Hüseyinoğlu, Fırat Adem Bilge, Yunus Can Bilge, Nazli Ikizler-Cinbis

Signal, Image and Video Processing, 2024
Leveraging cross-resolution attention for effective extreme low-resolution video action recognition

Oguzhan Oguz, Nazli Ikizler-Cinbis

Signal, Image and Video Processing, vol. 18, no. 1, pp. 399–406, 2024
Cross-lingual few-shot sign language recognition

Yunus Can Bilge, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis

Pattern Recognition, vol. 151, article 110374, 2024
Comparison of 2D and 3D attention mechanisms for human (collective) activity recognition

Cemil Zalluhoglu, Nazli Ikizler-Cinbis

Signal, Image and Video Processing, vol. 16, no. 4, pp. 865–872, 2022
Top-down and bottom-up attentional multiple instance learning for still image action recognition

Cagdas Bas, Nazli Ikizler-Cinbis

Signal Processing: Image Communication, vol. 104, article 116664, 2022
Merging super resolution and attribute learning for low-resolution person attribute recognition

Ramin Abbaszadi, Nazli Ikizler-Cinbis

IEEE Access, vol. 10, pp. 30436–30444, 2022
Towards zero-shot sign language recognition

Yunus Can Bilge, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Multi-stream pose CNNs for human interaction recognition

Gokhan Tanisik, Cemil Zalluhoglu, Nazli Ikizler-Cinbis

Signal Processing: Image Communication, 2021
Leveraging auxiliary image descriptions for dense video captioning

Emre Boran, Aykut Erdem, Nazli Ikizler-Cinbis, Erkut Erdem, Pranava Madhyastha, Lucia Specia

Pattern Recognition Letters, vol. 146, pp. 70–76, 2021
Using independently recurrent networks for reinforcement learning based unsupervised video summarization

Gokhan Yaliniz, Nazli Ikizler-Cinbis

Multimedia Tools and Applications, 2021
Collective Sports: A multi-task dataset for collective activity recognition

Cemil Zalluhoglu, Nazli Ikizler-Cinbis

Image and Vision Computing, vol. 94, 2020
Region based multi-stream convolutional neural networks for collective activity recognition

Cemil Zalluhoglu, Nazli Ikizler-Cinbis

Journal of Visual Communication and Image Representation, pp. 170–179, 2019
Histogram of sequences: A novel representation for human interaction recognition

Aytac Cavent, Nazli Ikizler-Cinbis

IET Computer Vision, vol. 12, no. 6, pp. 844–854, 2018
Space-time tree ensemble for action recognition and localization

Shugao Ma, Jianming Zhang, Stan Sclaroff, Nazli Ikizler-Cinbis, Leonid Sigal

International Journal of Computer Vision, vol. 126, no. 2–4, pp. 314–332, 2018
Data-driven image captioning via salient region discovery

Mert Kilickaya, Burak Kerim Akkus, Ruket Cakici, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis

IET Computer Vision, vol. 11, no. 6, pp. 398–406, 2017
Low-level features for visual attribute recognition: An evaluation

Emine Gul Danaci, Nazli Ikizler-Cinbis

Pattern Recognition Letters, vol. 84, pp. 185–191, 2016
Facial descriptors for human interaction recognition in still images

Gokhan Tanisik, Cemil Zalluhoglu, Nazli Ikizler-Cinbis

Pattern Recognition Letters, vol. 73, pp. 44–51, 2016
Automatic description generation from images: A survey of models, datasets, and evaluation measures

Raffaella Bernardi, Ruket Cakici, Desmond Elliott, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis, Frank Keller, Adrian Muscat, Barbara Plank

Journal of Artificial Intelligence Research, vol. 55, pp. 409–442, 2016
Two-person interaction recognition via spatial multiple instance embedding

Fadime Sener, Nazli Ikizler-Cinbis

Journal of Visual Communication and Image Representation, vol. 32, pp. 63–73, 2015
Ensemble of multiple instance classifiers for image re-ranking

Fadime Sener, Nazli Ikizler-Cinbis

Image and Vision Computing, vol. 32, no. 5, pp. 348–362, 2014
Web-based classifiers for human action recognition

Nazli Ikizler-Cinbis, Stan Sclaroff

IEEE Transactions on Multimedia, vol. 14, no. 4, pp. 1031–1045, 2012
Histogram of oriented rectangles: A new pose descriptor for human action recognition

Nazli Ikizler, Pinar Duygulu

Image and Vision Computing, vol. 27, no. 10, pp. 1515–1526, 2009
Searching for complex human activities with no visual examples

Nazli Ikizler, David Forsyth

International Journal of Computer Vision, vol. 80, no. 3, 2008
Diagnosis of gastric carcinoma by classification on feature projections

H. Altay Guvenir, Narin Emeksiz, Nazli Ikizler, Necati Ormeci

Artificial Intelligence in Medicine, vol. 31, no. 3, pp. 231–240, 2004

Conference papers

Multi-contrast MRI segmentation trained on synthetic images

Ismail Irmakci, Zeki Emre Unel, Nazli Ikizler-Cinbis, Ulas Bagci

44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
TripleDNet: Exploring depth estimation with self-supervised representation learning

Ufuk Umut Senturk, Arif Akar, Nazli Ikizler-Cinbis

British Machine Vision Conference (BMVC), 2022
MAC: Mask-augmentation for motion-aware video representation learning

Arif Akar, Ufuk Umut Senturk, Nazli Ikizler-Cinbis

British Machine Vision Conference (BMVC), 2022
MaskSplit: Self-supervised meta-learning for few-shot semantic segmentation

Mustafa Sercan Amac, Ahmet Sencan, Orhun Bugra Baran, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
Zero-shot sign language recognition: Can textual data uncover sign languages?

Yunus Can Bilge, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis

British Machine Vision Conference (BMVC), Cardiff, 2019
Image captioning with unseen objects

Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis

British Machine Vision Conference (BMVC), Cardiff, 2019
Learning visually consistent label embeddings for zero-shot learning

Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis

IEEE International Conference on Image Processing (ICIP), Taipei, 2019
Mask guided fusion for group activity recognition in images

Arif Akar, Nazli Ikizler-Cinbis

International Conference on Image Analysis and Processing (ICIAP), Trento, 2019
RecipeQA: A challenge dataset for multimodal comprehension of cooking recipes

Semih Yagcioglu, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis

Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, 2018
Zero-shot object detection by hybrid region embedding

Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis

British Machine Vision Conference (BMVC), Newcastle upon Tyne, 2018
Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning

Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis

IEEE International Conference on Computer Vision (ICCV), Venice, 2017
Re-evaluating automatic metrics for image captioning

Mert Kilickaya, Aykut Erdem, Nazli Ikizler-Cinbis, Erkut Erdem

European Chapter of the Association for Computational Linguistics (EACL), 2017
Leveraging captions in the wild to improve object detection

Mert Kilickaya, Nazli Ikizler-Cinbis, Erkut Erdem, Aykut Erdem

Workshop on Vision and Language (VL’16), Berlin, 2016
Counting people in crowded scenes via detection and regression fusion

Cemil Zalluhoglu, Nazli Ikizler-Cinbis

International Conference on Image Analysis and Recognition (ICIAR), Póvoa de Varzim, 2016
Action recognition and localization by hierarchical space-time segments

Shugao Ma, Jianming Zhang, Nazli Ikizler-Cinbis, Stan Sclaroff

IEEE International Conference on Computer Vision (ICCV), Sydney, 2013
On recognizing actions in still images via multiple features

Fadime Sener, Cagdas Bas, Nazli Ikizler-Cinbis

ECCV Workshop on Action Recognition and Pose Estimation in Still Images, Florence, 2012
Unsupervised learning of discriminative relative visual attributes

Shugao Ma, Stan Sclaroff, Nazli Ikizler-Cinbis

ECCV Workshop on Parts and Attributes, Florence, 2012
Object, scene and actions: Combining multiple features for human action recognition

Nazli Ikizler-Cinbis, Stan Sclaroff

European Conference on Computer Vision (ECCV), Crete, 2010. LNCS vol. 6311, pp. 494–507
Object recognition and localization via spatial instance embedding

Nazli Ikizler-Cinbis, Stan Sclaroff

International Conference on Pattern Recognition (ICPR), Istanbul, 2010
Learning actions from the web

Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis, Stan Sclaroff

IEEE International Conference on Computer Vision (ICCV), Kyoto, 2009
Human action recognition with line and flow histograms

Nazli Ikizler, Ramazan Gokberk Cinbis, Pinar Duygulu

International Conference on Pattern Recognition (ICPR), Tampa, 2008
Recognizing actions in still images

Nazli Ikizler, Ramazan Gokberk Cinbis, Selen Pehlivan, Pinar Duygulu

International Conference on Pattern Recognition (ICPR), Tampa, 2008
Human action recognition using distribution of oriented rectangular patches

Nazli Ikizler, Pinar Duygulu

ICCV Workshop on Human Motion Understanding, Modeling, Capture and Animation, 2007. LNCS
Searching video for complex activities with finite state models

Nazli Ikizler, David Forsyth

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
Person search made easy

Nazli Ikizler, Pinar Duygulu

International Conference on Image and Video Retrieval (CIVR), Singapore, 2005. LNCS vol. 3568
Maximizing benefit of classifications using feature intervals

Nazli Ikizler, H. Altay Guvenir

International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), Oxford, 2003. LNAI

Theses

Understanding human motion: Recognition and retrieval of human activities

Nazli Ikizler

PhD thesis, Bilkent University, 2008
Benefit maximizing classification using feature intervals

Nazli Ikizler

MS thesis, Bilkent University, 2002

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Journal papers

Conference papers

Zero-shot sign language recognition: Can textual data uncover sign languages?

Learning visually consistent label embeddings for zero-shot learning

Theses

Benefit maximizing classification using feature intervals