Hacer Yalim Keles

According to our database, Hacer Yalim Keles authored at least 32 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples.

Eda Yilmaz, Hacer Yalim Keles

CoRR, 2024

2023

SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion.

Mojtaba Najafi Khatounabad, Hacer Yalim Keles, Selma Kadioglu

CoRR, 2023

2022

Iterative facial image inpainting based on an encoder-generator architecture.

Yahya Dogan, Hacer Yalim Keles

Neural Comput. Appl., 2022

Using Motion History Images With 3D Convolutional Networks in Isolated Sign Language Recognition.

Ozge Mercanoglu Sincan, Hacer Yalim Keles

IEEE Access, 2022

Skin Disease Classification using Few-Shot Meta-Transfer Learning.

Zeynep Özdemir, Hacer Yalim Keles, Ömer Özgür Tanriöver

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

A Novel Visual Attribute Disentanglement Approach using Self-Supervision.

Abdurrahman Akin Aktas, Hacer Yalim Keles, Iman N. Askerzade

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2021

Evaluation of hidden Markov models using deep CNN features in isolated sign recognition.

Anil Osman Tur, Hacer Yalim Keles

Multim. Tools Appl., 2021

Towards disease-aware image editing of chest X-rays.

Aakash Saboo, Sai Niranjan Ramachandran, Kai Dierkes, Hacer Yalim Keles

CoRR, 2021

A Hierarchical Approach to Remote Sensing Scene Classification.

Ozlem Sen, Hacer Yalim Keles

CoRR, 2021

Iterative Facial Image Inpainting using Cyclic Reverse Generator.

Yahya Dogan, Hacer Yalim Keles

CoRR, 2021

Covid-19 Detection in Chest X-ray Images with Deep Learning.

Zeynep Özdemir, Hacer Yalim Keles

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

Piano Music Generation with a Text Based Musical Note Representation using LSTM Models.

Ahmet Emin Memis, Hacer Yalim Keles

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

Deep Learning Based Cell Segmentation Using Cascaded U-Net Models.

Mehmet Emin Bakir, Hacer Yalim Keles

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research.

Ozge Mercanoglu Sincan, Júlio C. S. Jacques Júnior, Sergio Escalera, Hacer Yalim Keles

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Learning multi-scale features for foreground segmentation.

Long Ang Lim, Hacer Yalim Keles

Pattern Anal. Appl., 2020

Semi-supervised image attribute editing using generative adversarial networks.

Yahya Dogan, Hacer Yalim Keles

Neurocomputing, 2020

AUTSL: A Large Scale Multi-Modal Turkish Sign Language Dataset and Baseline Methods.

Ozge Mercanoglu Sincan, Hacer Yalim Keles

IEEE Access, 2020

2019

DeepVoCoder: A CNN Model for Compression and Coding of Narrow Band Speech.

Hacer Yalim Keles, Jan Rozhon, Hakki Gökhan Ilk, Miroslav Voznák

IEEE Access, 2019

Isolated Sign Language Recognition with Multi-scale Features using LSTM.

Ozge Mercanoglu Sincan, Anil Osman Tur, Hacer Yalim Keles

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Scene Recognition with Deep Learning Methods Using Aerial Images.

Ozlem Sen, Hacer Yalim Keles

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Stability and Diversity in Generative Adversarial Networks.

Yahya Dogan, Hacer Yalim Keles

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Isolated Sign Recognition with a Siamese Neural Network of RGB and Depth Streams.

Anil Osman Tur, Hacer Yalim Keles

Proceedings of the IEEE EUROCON 2019, 2019

2018

Foreground segmentation using convolutional neural networks for multiscale feature encoding.

Long Ang Lim, Hacer Yalim Keles

Pattern Recognit. Lett., 2018

Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding.

Long Ang Lim, Hacer Yalim Keles

CoRR, 2018

Embedding parts in shape grammars using a parallel particle swarm optimization method on graphics processing units.

Hacer Yalim Keles

Artif. Intell. Eng. Des. Anal. Manuf., 2018

A Comparative Study of HMMs and LSTMs on Action Classification with Limited Training Data.

Elit Cenk Alp, Hacer Yalim Keles

Proceedings of the Intelligent Systems and Applications, 2018

2017

Action recognition using MHI based Hu moments with HMMs.

Elit Cenk Alp, Hacer Yalim Keles

Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

2015

A robust method for scale independent detection of curvature-based criticalities and intersections in line drawings.

Hacer Yalim Keles, Sibel Tari

Pattern Recognit., 2015

Moving object detection by a mounted moving camera.

Ozge Mercanoglu Sincan, Vahid Babaei Ajabshir, Hacer Yalim Keles, Suleyman Tosun

Proceedings of the IEEE EUROCON 2015, 2015

2010

Part embedding for shape grammars (Şekil gramerleri için parça gömme)

Hacer Yalim Keles

PhD thesis, 2010

2007

Acceleration of direct volume rendering with programmable graphics hardware.

Hacer Yalim Keles, Alphan Es, Veysi Isler

Vis. Comput., 2007

2006

Accelerated Volume Rendering with Homogeneous Region Encoding using Extended Anisotropic Chessboard Distance on GPU.

Alphan Es, Hacer Yalim Keles, Veysi Isler

Proceedings of the 6th Eurographics Symposium on Parallel Graphics and Visualization, 2006