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Hacer Yalim Keles
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2020 – today
- 2024
- [c15]Sümeyye Meryem Tasyürek, Tugçe Kiziltepe, Hacer Yalim Keles:
Towards Better Communication: Refining Hand Pose Estimation in Low-Resolution Sign Language Videos. FG 2024: 1-10 - [i15]Eda Yilmaz, Hacer Yalim Keles:
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples. CoRR abs/2403.05181 (2024) - [i14]Zeynep Özdemir, Hacer Yalim Keles, Ömer Özgür Tanriöver:
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution. CoRR abs/2404.16814 (2024) - [i13]Ali Emre Keskin, Hacer Yalim Keles:
SkelCap: Automated Generation of Descriptive Text from Skeleton Keypoint Sequences. CoRR abs/2405.02977 (2024) - [i12]Sükrü Öztürk, Hacer Yalim Keles:
E-TSL: A Continuous Educational Turkish Sign Language Dataset with Baseline Methods. CoRR abs/2405.02984 (2024) - 2023
- [e1]Yinqiang Zheng
, Hacer Yalim Keles
, Piotr Koniusz
:
Computer Vision - ACCV 2022 Workshops - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13848, Springer 2023, ISBN 978-3-031-27065-9 [contents] - [i11]Mojtaba Najafi Khatounabad, Hacer Yalim Keles, Selma Kadioglu:
SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion. CoRR abs/2312.08194 (2023) - 2022
- [j11]Ozge Mercanoglu Sincan
, Hacer Yalim Keles
:
Using Motion History Images With 3D Convolutional Networks in Isolated Sign Language Recognition. IEEE Access 10: 18608-18618 (2022) - [j10]Yahya Dogan, Hacer Yalim Keles:
Iterative facial image inpainting based on an encoder-generator architecture. Neural Comput. Appl. 34(12): 10001-10021 (2022) - [c14]Abdurrahman Akin Aktas, Hacer Yalim Keles, Iman N. Askerzade:
A Novel Visual Attribute Disentanglement Approach using Self-Supervision. SIU 2022: 1-4 - [c13]Zeynep Özdemir, Hacer Yalim Keles, Ömer Özgür Tanriöver:
Skin Disease Classification using Few-Shot Meta-Transfer Learning. SIU 2022: 1-4 - 2021
- [j9]Anil Osman Tur, Hacer Yalim Keles
:
Evaluation of hidden Markov models using deep CNN features in isolated sign recognition. Multim. Tools Appl. 80(13): 19137-19155 (2021) - [c12]Ozge Mercanoglu Sincan, Júlio C. S. Jacques Júnior
, Sergio Escalera
, Hacer Yalim Keles:
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research. CVPR Workshops 2021: 3472-3481 - [c11]Mehmet Emin Bakir, Hacer Yalim Keles:
Deep Learning Based Cell Segmentation Using Cascaded U-Net Models. SIU 2021: 1-4 - [c10]Ahmet Emin Memis, Hacer Yalim Keles:
Piano Music Generation with a Text Based Musical Note Representation using LSTM Models. SIU 2021: 1-4 - [c9]Zeynep Özdemir, Hacer Yalim Keles:
Covid-19 Detection in Chest X-ray Images with Deep Learning. SIU 2021: 1-4 - [i10]Yahya Dogan, Hacer Yalim Keles:
Iterative Facial Image Inpainting using Cyclic Reverse Generator. CoRR abs/2101.07036 (2021) - [i9]Ozlem Sen, Hacer Yalim Keles:
A Hierarchical Approach to Remote Sensing Scene Classification. CoRR abs/2103.15463 (2021) - [i8]Ozge Mercanoglu Sincan, Júlio C. S. Jacques Júnior, Sergio Escalera, Hacer Yalim Keles:
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research. CoRR abs/2105.05066 (2021) - [i7]Aakash Saboo, Sai Niranjan Ramachandran, Kai Dierkes, Hacer Yalim Keles:
Towards disease-aware image editing of chest X-rays. CoRR abs/2109.01071 (2021) - [i6]Ozge Mercanoglu Sincan, Hacer Yalim Keles:
Using Motion History Images with 3D Convolutional Networks in Isolated Sign Language Recognition. CoRR abs/2110.12396 (2021) - 2020
- [j8]Ozge Mercanoglu Sincan
, Hacer Yalim Keles
:
AUTSL: A Large Scale Multi-Modal Turkish Sign Language Dataset and Baseline Methods. IEEE Access 8: 181340-181355 (2020) - [j7]Yahya Dogan, Hacer Yalim Keles
:
Semi-supervised image attribute editing using generative adversarial networks. Neurocomputing 401: 338-352 (2020) - [j6]Long Ang Lim
, Hacer Yalim Keles
:
Learning multi-scale features for foreground segmentation. Pattern Anal. Appl. 23(3): 1369-1380 (2020) - [i5]Anil Osman Tur, Hacer Yalim Keles:
Evaluation Of Hidden Markov Models Using Deep CNN Features In Isolated Sign Recognition. CoRR abs/2006.11183 (2020) - [i4]Ozge Mercanoglu Sincan, Hacer Yalim Keles:
AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods. CoRR abs/2008.00932 (2020)
2010 – 2019
- 2019
- [j5]Hacer Yalim Keles, Jan Rozhon
, Hakki Gökhan Ilk, Miroslav Voznák
:
DeepVoCoder: A CNN Model for Compression and Coding of Narrow Band Speech. IEEE Access 7: 75081-75089 (2019) - [c8]Anil Osman Tur, Hacer Yalim Keles:
Isolated Sign Recognition with a Siamese Neural Network of RGB and Depth Streams. EUROCON 2019: 1-6 - [c7]Yahya Dogan, Hacer Yalim Keles:
Stability and Diversity in Generative Adversarial Networks. SIU 2019: 1-4 - [c6]Ozlem Sen, Hacer Yalim Keles:
Scene Recognition with Deep Learning Methods Using Aerial Images. SIU 2019: 1-4 - [c5]Ozge Mercanoglu Sincan, Anil Osman Tur, Hacer Yalim Keles:
Isolated Sign Language Recognition with Multi-scale Features using LSTM. SIU 2019: 1-4 - [i3]Yahya Dogan, Hacer Yalim Keles:
Semi-supervised Image Attribute Editing using Generative Adversarial Networks. CoRR abs/1907.01841 (2019) - 2018
- [j4]Hacer Yalim Keles:
Embedding parts in shape grammars using a parallel particle swarm optimization method on graphics processing units. Artif. Intell. Eng. Des. Anal. Manuf. 32(3): 256-268 (2018) - [j3]Long Ang Lim
, Hacer Yalim Keles
:
Foreground segmentation using convolutional neural networks for multiscale feature encoding. Pattern Recognit. Lett. 112: 256-262 (2018) - [c4]Elit Cenk Alp, Hacer Yalim Keles:
A Comparative Study of HMMs and LSTMs on Action Classification with Limited Training Data. IntelliSys (1) 2018: 1102-1115 - [i2]Long Ang Lim, Hacer Yalim Keles:
Foreground Segmentation Using a Triplet Convolutional Neural Network for Multiscale Feature Encoding. CoRR abs/1801.02225 (2018) - [i1]Long Ang Lim
, Hacer Yalim Keles:
Learning Multi-scale Features for Foreground Segmentation. CoRR abs/1808.01477 (2018) - 2017
- [c3]Elit Cenk Alp, Hacer Yalim Keles:
Action recognition using MHI based Hu moments with HMMs. EUROCON 2017: 212-216 - 2015
- [j2]Hacer Yalim Keles, Sibel Tari
:
A robust method for scale independent detection of curvature-based criticalities and intersections in line drawings. Pattern Recognit. 48(1): 140-155 (2015) - [c2]Ozge Mercanoglu Sincan, Vahid Babaei Ajabshir, Hacer Yalim Keles, Suleyman Tosun:
Moving object detection by a mounted moving camera. EUROCON 2015: 1-6 - 2010
- [b1]Hacer Yalim Keles:
Part embedding for shape grammars (Şekil gramerleri için parça gömme). Middle East Technical University, Turkey, 2010
2000 – 2009
- 2007
- [j1]Hacer Yalim Keles, Alphan Es, Veysi Isler
:
Acceleration of direct volume rendering with programmable graphics hardware. Vis. Comput. 23(1): 15-24 (2007) - 2006
- [c1]Alphan Es, Hacer Yalim Keles, Veysi Isler:
Accelerated Volume Rendering with Homogeneous Region Encoding using Extended Anisotropic Chessboard Distance on GPU. EGPGV@EuroVis/EGVE 2006: 67-73
Coauthor Index
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