| Foreground segmentation using convolutional neural networks for multiscale feature encoding LA Lim, HY Keles Pattern Recognition Letters 112, 256-262, 2018 | 328 | 2018 |
| Learning multi-scale features for foreground segmentation LA Lim, HY Keles Pattern Analysis and Applications 23 (3), 1369-1380, 2020 | 228 | 2020 |
| Autsl: A large scale multi-modal turkish sign language dataset and baseline methods OM Sincan, HY Keles IEEE access 8, 181340-181355, 2020 | 223 | 2020 |
| Using motion history images with 3d convolutional networks in isolated sign language recognition OM Sincan, HY Keles IEEE access 10, 18608-18618, 2022 | 56 | 2022 |
| Chalearn LAP large scale signer independent isolated sign language recognition challenge: Design, results and future research OM Sincan, J Junior, CS Jacques, S Escalera, HY Keles Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 54 | 2021 |
| Isolated sign language recognition with multi-scale features using LSTM OM Sincan, AO Tur, HY Keles 2019 27th signal processing and communications applications conference (SIU …, 2019 | 45 | 2019 |
| Semi-supervised image attribute editing using generative adversarial networks Y Dogan, HY Keles Neurocomputing 401, 338-352, 2020 | 27 | 2020 |
| Evaluation of hidden markov models using deep cnn features in isolated sign recognition AO Tur, HY Keles Multimedia Tools and Applications 80, 19137-19155, 2021 | 24 | 2021 |
| Embedding shapes without predefined parts HY Keles, M Özkar, S Tari Environment and Planning B: Planning and Design 37 (4), 664-681, 2010 | 24 | 2010 |
| Iterative facial image inpainting based on an encoder-generator architecture Y Dogan, HY Keles Neural Computing and Applications 34 (12), 10001-10021, 2022 | 21 | 2022 |
| Weighted shapes for embedding perceived wholes HY Keles, M Özkar, S Tari Environment and Planning B: Planning and Design 39 (2), 360-375, 2012 | 18 | 2012 |
| Foreground segmentation using a triplet convolutional neural network for multiscale feature encoding. arXiv 2018 LA Lim, HY Keles arXiv preprint arXiv:1801.02225, 0 | 16 | |
| Action recognition using MHI based Hu moments with HMMs EC Alp, HY Keles IEEE EUROCON 2017-17th International Conference on Smart Technologies, 212-216, 2017 | 14 | 2017 |
| Acceleration of direct volume rendering with programmable graphics hardware H Yalım Keleş, A Es, V İşler The Visual Computer 23, 15-24, 2007 | 14 | 2007 |
| Isolated sign recognition with a siamese neural network of RGB and depth streams AO Tur, HY Keles IEEE EUROCON 2019-18th International Conference on Smart Technologies, 1-6, 2019 | 13 | 2019 |
| Moving object detection by a mounted moving camera OM Sincan, VB Ajabshir, HY Keles, S Tosun IEEE EUROCON 2015-International Conference on Computer as a Tool (EUROCON), 1-6, 2015 | 13 | 2015 |
| On the evaluation of CNN models in remote-sensing scene classification domain O Sen, HY Keles PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 88 …, 2020 | 10 | 2020 |
| A hierarchical approach to remote sensing scene classification O Sen, HY Keles PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 90 …, 2022 | 9 | 2022 |
| DeepVoCoder: A CNN model for compression and coding of narrow band speech HY Keles, J Rozhon, HG Ilk, M Voznak IEEE Access 7, 75081-75089, 2019 | 7 | 2019 |
| Stability and diversity in generative adversarial networks Y Dogan, HY Keles 2019 27th signal processing and communications applications conference (SIU …, 2019 | 7 | 2019 |
