Nazli Ikizler-Cinbis

Orcid: 0000-0002-8644-2875

According to our database1, Nazli Ikizler-Cinbis authored at least 56 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Leveraging cross-resolution attention for effective extreme low-resolution video action recognition.
Signal Image Video Process., February, 2024

2023
Towards Zero-Shot Sign Language Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022
Top-down and bottom-up attentional multiple instance learning for still image action recognition.
Signal Process. Image Commun., 2022

Comparison of 2D and 3D attention mechanisms for human (collective) activity recognition.
Signal Image Video Process., 2022

Merging Super Resolution and Attribute Learning for Low-Resolution Person Attribute Recognition.
IEEE Access, 2022

MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Multi-Contrast MRI Segmentation Trained on Synthetic Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

TripleDNet: Exploring Depth Estimation with Self-Supervised Representation Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

MAC: Mask-Augmentation for Motion-Aware Video Representation Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Multi-stream pose convolutional neural networks for human interaction recognition in images.
Signal Process. Image Commun., 2021

Leveraging auxiliary image descriptions for dense video captioning.
Pattern Recognit. Lett., 2021

Using independently recurrent networks for reinforcement learning based unsupervised video summarization.
Multim. Tools Appl., 2021

Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Collective Sports: A multi-task dataset for collective activity recognition.
Image Vis. Comput., 2020

2019
Region based multi-stream convolutional neural networks for collective activity recognition.
J. Vis. Commun. Image Represent., 2019

Unsupervised Video Summarization with Independently Recurrent Neural Networks.
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Learning Visually Consistent Label Embeddings for Zero-Shot Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Mask Guided Fusion for Group Activity Recognition in Images.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Image Captioning with Unseen Objects.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Space-Time Tree Ensemble for Action Recognition and Localization.
Int. J. Comput. Vis., 2018

Histograms of sequences: a novel representation for human interaction recognition.
IET Comput. Vis., 2018

Wildest Faces: Face Detection and Recognition in Violent Settings.
CoRR, 2018

Classification of human poses and orientations with deep learning.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Zero-Shot Object Detection by Hybrid Region Embedding.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Data-driven image captioning via salient region discovery.
IET Comput. Vis., 2017

Anomaly detection using improved background subtraction.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Using deep multiple instance learning for action recognition in still images.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract).
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Re-evaluating Automatic Metrics for Image Captioning.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Facial descriptors for human interaction recognition in still images.
Pattern Recognit. Lett., 2016

Low-level features for visual attribute recognition: An evaluation.
Pattern Recognit. Lett., 2016

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures.
J. Artif. Intell. Res., 2016

TasvirEt: A benchmark dataset for automatic Turkish description generation from images.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Visual Saliency Estimation via Attribute Based Classifiers and Conditional Random Field.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Counting People in Crowded Scenes via Detection and Regression Fusion.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Leveraging Captions in the Wild to Improve Object Detection.
Proceedings of the 5th Workshop on Vision and Language, 2016

2015
Two-person interaction recognition via spatial multiple instance embedding.
J. Vis. Commun. Image Represent., 2015

A multiple region selection based approach for scene recognition.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

A comparison of low-level features for visual attribute recognition.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
Ensemble of multiple instance classifiers for image re-ranking.
Image Vis. Comput., 2014

Data-driven image captioning with meta-class based retrieval.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013
Recognizing human actions in images using segment and contour features.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Recognizing human actions from noisy videos via multiple instance learning.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Comparison of clustering methods for pose based video summarization.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Action Recognition and Localization by Hierarchical Space-Time Segments.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Web-Based Classifiers for Human Action Recognition.
IEEE Trans. Multim., 2012

Multiple instance learning for re-ranking of web image search results.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Recognition of complex human activities by using sequential pyramid matching.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

On Recognizing Actions in Still Images via Multiple Features.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Unsupervised Learning of Discriminative Relative Visual Attributes.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2010
Object Recognition and Localization Via Spatial Instance Embedding.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Object, Scene and Actions: Combining Multiple Features for Human Action Recognition.
Proceedings of the Computer Vision, 2010

2009
Learning actions from the Web.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009


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