| Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities MS Seyfioğlu, AM Özbayoglu, SZ Gurbuz IEEE Transactions on Aerospace and Electronic Systems 54 (4), 1709 - 1723, 2018 | 366 | 2018 |
| Deep neural network initialization methods for micro-Doppler classification with low training sample support MS Seyfioğlu, SZ Gürbüz IEEE Geoscience and Remote Sensing Letters 14 (12), 2462-2466, 2017 | 128 | 2017 |
| DNN transfer learning from diversified micro-Doppler for motion classification MS Seyfioglu, B Erol, SZ Gurbuz, MG Amin IEEE Transactions on Aerospace and Electronic Systems 55 (5), 2164-2180, 2018 | 110 | 2018 |
| Deep learning of micro-Doppler features for aided and unaided gait recognition MS Seyfioğlu, SZ Gürbüz, AM Özbayoğlu, M Yüksel 2017 IEEE Radar Conference (RadarConf), 1125-1130, 2017 | 67 | 2017 |
| Diversified radar micro-Doppler simulations as training data for deep residual neural networks MS Seyfioglu, B Erol, SZ Gurbuz, MG Amin 2018 IEEE radar Conference (radarConf18), 0612-0617, 2018 | 42 | 2018 |
| Quilt-1m: One million image-text pairs for histopathology W Ikezogwo, S Seyfioglu, F Ghezloo, D Geva, F Sheikh Mohammed, ... Advances in neural information processing systems 36, 2024 | 29 | 2024 |
| Detecting Cybersecurity Events from Noisy Short Text S Yagcioglu, MS Seyfioglu, B Citamak, B Bardak, S Guldamlasioglu, ... NAACL, 2019 | 26 | 2019 |
| A hierarchical approach for sentiment analysis and categorization of Turkish written customer relationship management data MS Seyfioğlu, MU Demirezen 2017 Federated Conference on Computer Science and Information Systems …, 2017 | 25 | 2017 |
| Brain-aware replacements for supervised contrastive learning in detection of Alzheimer’s disease MS Seyfioğlu, Z Liu, P Kamath, S Gangolli, S Wang, T Grabowski, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 13 | 2022 |
| Data-driven cepstral and neural learning of features for robust micro-Doppler classification B Erol, MS Seyfioglu, SZ Gurbuz, M Amin Radar Sensor Technology XXII 10633, 163-170, 2018 | 9 | 2018 |
| MLIM: Vision-and-language model pre-training with masked language and image modeling T Arici, MS Seyfioglu, T Neiman, Y Xu, S Train, T Chilimbi, B Zeng, I Tutar arXiv preprint arXiv:2109.12178, 2021 | 6 | 2021 |
| Feature diverse hierarchical classification of human gait with CW radar for assisted living MS Seyfioğlu, A Serinöz, M Özbayoğlu, SZ Gürbüz IET Digital Library, 2017 | 5 | 2017 |
| Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos MS Seyfioglu, WO Ikezogwo, F Ghezloo, R Krishna, L Shapiro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Multi-modal masked autoencoders learn compositional histopathological representations WO Ikezogwo, MS Seyfioglu, L Shapiro arXiv preprint arXiv:2209.01534, 2022 | 2 | 2022 |
| DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling MS Seyfioglu, K Bouyarmane, S Kumar, A Tavanaei, IB Tutar arXiv preprint arXiv:2305.01257, 2023 | 1 | 2023 |
| Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction N Nuechterlein, B Li, MS Seyfioglu, S Mehta, PJ Cimino, L Shapiro | 1 | 2020 |
| Challenges in training DNNs for classification of radar micro-Doppler signatures SZ Gurbuz, MG Amin, MS Seyfioglu, B Erol Deep Neural Network Design for Radar Applications, 123, 2020 | 1 | 2020 |
| Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All MS Seyfioglu, K Bouyarmane, S Kumar, A Tavanaei, IB Tutar arXiv preprint arXiv:2401.13795, 2024 | | 2024 |
| 1 Training details N Nuechterlein, B Li, MS Seyfioglu, S Mehta, PJ Cimino, L Shapiro | | |
Linda ShapiroProfessor of Computer Science & Engineering, University of Washington在 cs.washington.edu 的电子邮件经过验证
